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Journal of The South African Chapter of the IASP ISSN 1998-2062 Volume 13 Number 1 2018 Surgical interventions for the treatment of painful neuroma: a comparative meta-analysis Transition from acute to chronic pain after surgery Innovative treatments for back pain Day-to-day experience in resolution of pain after surgery Acute pain management in patients with drug dependence syndrome The gap between knowledge and practice

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Journal of

The South African Chapter of the IASP

ISSN 1998-2062

Volume 13 Number 1

2018

Surgical interventions for the treatment of painful neuroma: a comparative meta-analysis

Transition from acute to chronic pain after surgery

Innovative treatments for back pain

Day-to-day experience in resolution of pain after surgery

Acute pain management in patients with drug dependence syndrome

The gap between knowledge and practice

Journal of The South African Chapter of the IASPVolume 13 Number 1

Editorial

All correspondence to the editor should be addressed to: [email protected]

The recent “year of” campaign highlighted the need to control post-operative pain. I featured several articles and updates covering this subject and trust that the message reached out to all our members.

It is obvious that in the majority of cases we were dealing with acute nociceptive pain. What was not discussed was the potential development of chronic post-surgical pain (CPSP) syndromes.

The idea that acute pain and chronic pain are two distinct entities has now become outdated. What we now believe is that pain is a continuum from acute to chronic. The old definition of chronic pain commencing at three months has

been replaced with the idea that chronic pain is developing when the expected time period for normal resolution of pain is exceeded.

Is there anything that we as clinicians can do about this problem? The simple answer to this is yes!

There are many factors that can predict CPSP and many of these we can do absolutely nothing about. This includes the age of the patient, the sex of the patient, and the genetic makeup of the patient. We can also have a high index of suspicion that CPSP may develop in catastrophisers and in patients with pre-existing chronic pain syndromes.

Where we can make a difference is ensuring that patients do not experience severe post-operative pain. These patients have a higher probability of developing CPSP than those who have little or no post-operative pain.

Similarly, we need to mange pre-operative pain in patients who are already suffering from pain prior to surgery. These patients also need good pain management prior to the commencement of surgery.

It is beyond the scope of this Editorial to prescribe pain therapy and so I have included paper by Patricia Lavand-homme. The author deal with all the concepts I have highlighted and discusses improvements and advances in the prevention, detection, and management of CPSP.

It is clear that we as clinicians have an essential role to play in not only managing the immediate post-operative pain of our patients, but also the long-term wellbeing of these patients in that we can and must apply our clinical knowledge to ensure that the incidence of CPSP decreases.

Dr. Milton RaffBSc MB ChB FFA(SA)

1

EDITORDr M Raff

BSc (WITS), MBChB (Pret), FFA (SA)

EDITORIAL BOARDProf H Meyer

MBChB(Pret) MPraxMed(Pret) MFGP(SA)

Prof C L Odendaal MBChB, MMed(Anest),

GFN(SA)

Prof D MitchellBSc Hons, MSc, PhD

(all University of the Witwatersrand)

Dr S BaumannBA. Mb.Ch.B.(U.C.T.),

P.G.C.E.(University College of Wales), M.R.C.Psych.(London),

F.C.Psych (S.A.)

Mrs P BergerBSc Physio (Wits), Acup (SA)

Prof E FrohlichMD(Tel-Aviv), DA(SA),

FCA(SA), Master (Med) Pain Management (Syd)

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights for translation, reprinting reuse of illustrations, broad-casting, reproduction of CD-Rom, microfilm, online publication, or in any other way, and storage in data banks.

The use of registered names trademarks etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt for the relevant laws and regulations and therefore free for general use.

Product liability: the publishers cannot guarantee the accuracy of any information about the publication of medications contained in this publication. In every individual case, the user must check such information by consulting the relevant literature.

PUBLISHER / MEDSPEC PUBLISHING / ADVERTISING & RATES

Reni Rouncivell, Tel: (012) 657 2327 Fax: 086 561 5122, Cell: 082 441 6904, e-mail: [email protected], Private Bag X1036, Lyttelton, South Africa 0140

SUBSCRIPTIONS & ACCOUNTS

Chantal du Toit, Tel: 082 385 5524, e-mail: [email protected]/[email protected]

SYSTEMATIC REVIEW AND META-ANALYSISSurgical interventions for the treatment of painful neuroma: a comparative meta-analysisLouis H. Poppler, Rajiv P. Parikh, Miles J. Bichanich, Kelsey Rebehn, Carrie R. Bettlach, Susan E. Mackinnon, Amy M. Moore

3

BIENNIAL REVIEW OF PAINTransition from acute to chronic pain after surgeryPatricia Lavand’homme

13

BIENNIAL REVIEW OF PAINInnovative treatments for back painG. Lorimer Moseley

18

RESEARCH PAPERDay-to-day experience in resolution of pain after surgeryTimothy T. Houle, Scott Miller, Jason E. Lang, Jessica L. Booth, Regina S. Curry, Lynnette Harris,Carol A. Aschenbrenner, James C. Eisenach

27

PAIN CLINCAL UPDATESAcute pain management in patients with drug dependence syndromeJane Quinlan, Felicia Cox

35

GLOBAL YEAR EXCELLENCE IN PAIN EDUCATIONThe gap between knowledge and practicePaul Wilkinson, Judy Watt-Watson, Daniel B. Carr, Andreas Kopf

42

2

Systematic Review and Meta-Analysis

Surgical interventions for the treatment of painfulneuroma: a comparative meta-analysisLouis H. Popplera, Rajiv P. Parikha, Miles J. Bichanicha, Kelsey Rebehnb, Carrie R. Bettlacha, Susan E. Mackinnona,Amy M. Moorea,*

AbstractA consensus on the optimal treatment of painful neuromas does not exist. Our objectivewas to identify available data and to examinethe role of surgical technique on outcomes following surgical management of painful neuromas. In accordance with the PRISMAguidelines, we performed a comprehensive literature search to identify studies measuring the efficacy of the surgical treatment ofpainful neuromas in the extremities (excluding Morton’s neuroma and compression neuropathies). Surgical treatments werecategorized as excision-only, excision and transposition, excision and cap, excision and repair, or neurolysis and coverage. Data onthe proportion of patients with a meaningful reduction in pain were pooled and a random-effects meta-analysis was performed. Theeffects of confounding, study quality, and publication bias were examined with stratified, meta-regression, and bias analysis. Fifty-four articles met the inclusion criteria, many with multiple treatment groups. Outcomes reporting varied significantly and few studiescontrolled for confounding. Overall, surgical treatment of neuroma pain was effective in 77% of patients [95% confidence interval:73-81]. No significant differenceswere seen between surgical techniques. Among studies with amean pain duration greater than 24months, or median number of operations greater than 2 prior to definitive neuroma pain surgery, excision and transposition orneurolysis and coveragewere significantly more likely than other operative techniques to result in ameaningful reduction in pain (P,0.05). Standardization in the reporting of surgical techniques, outcomes, and confounding factors is needed in future studies toenable providers to make comparisons across disparate techniques in the surgical treatment of neuroma pain.

Keywords: Neuroma, Surgery, Operation, Operate, Reconstruction, Restoration, Procedure, Surgical intervention, Allodynia,Burning, Hyperalgesia, Extremity, Peripheral, Hand, Arm, Leg, Foot, Neurectomy, Transposition, Transpos*, Excision, Excis*, Painrelief, Pain management, Outcome, Analgesia, Treatment outcome, Therapy, Visual analogue scale, VAS, Faces pain scale, Painscale, Quality of life, Health related quality of life, Dash questionnaire, Dash score, Disabilities of the arm shoulder and hand

1. Introduction

Painful neuromas of the peripheral nerves are psychologically andphysically disabling.36 Painful neuroma usually develops followingtrauma or surgery,12,73,92 affecting 2% to 60% of patients witha nerve injury.1,29,34 There is no consensus on the optimaltreatment of painful neuroma. Consequently, numerous modal-ities to treat neuroma pain are described, including pharmaco-logic, psychologic, and physical interventions.66,74,93

The role of surgery in the treatment of painful neuroma remainscontroversial.13,22,30 A wide variety of surgical techniques aredescribed to treat painful neuroma. Studies of these techniques

have been limited by small sample sizes and nonrandomizedcase series study designs; therefore, no definitive answer on theeffectiveness of surgical management of neuroma pain exists.

The purpose of this meta-analysis was to identify and assessthe available information on the outcomes of surgical treatment ofpainful neuromas. Our goals were to determine the overalleffectiveness of surgery, determine whether certain surgicalprocedures are more effective than others, and performconfounding and bias analysis not previously possible becauseof the small patient numbers in most published studies.

2. Methods

2.1. Search strategy

In accordance with the Preferred Reporting Items for SystematicReviews and Meta-Analysis (PRISMA) guidelines, we sought toidentify all clinical studies on surgical treatment of neuroma usinga predesigned protocol for computerized literature search of theonline databases Embase, Scopus, PubMed, Cochrane library,and ClinicalTrials.gov.62 We conducted searches up until June2015 without language restrictions. Search terms were MeSHheadings, text words, and variations of the keywords or phrases:neuroma, pain, peripheral, extremity, operate, management,outcome, visual analogue scale (VAS), quality of life, and theDisabilities of the Arm, Shoulder, and Hand (DASH) question-naire.41 Titles and abstracts were reviewed and articles wereretrieved if they seemed relevant or there was uncertainty.

Sponsorships or competing interests that may be relevant to content are disclosed

at the end of this article.

a Division of Plastic and Reconstructive Surgery, Washington University in St. Louis

School of Medicine, St. Louis, MO, USA, b Department of Orthopaedic Surgery,

Saint Louis University, St. Louis, MO, USA

*Corresponding author. Address: Division of Plastic and Reconstructive Surgery,

Washington University in St. Louis School of Medicine, Campus Box 8238, 660 S.

Euclid Ave, St. Louis, MO 63110, USA. Tel.: 314-454-4894; fax: 314-367-0225.

E-mail address: [email protected] (A.M. Moore).

Supplemental digital content is available for this article. Direct URL citations appear

in the printed text and are provided in the HTML and PDF versions of this article on

the journal’s Web site (www.painjournalonline.com).

PAIN 159 (2018) 214–223

© 2017 International Association for the Study of Pain

http://dx.doi.org/10.1097/j.pain.0000000000001101

214 L.H. Poppler et al.·159 (2018) 214–223 PAIN®

Copyright � 2018 by the International Association for the Study of Pain. Unauthorized reproduction of this article is prohibited.3

Retrieved articles were assessed using the inclusion andexclusion criteria, and citation lists of retained articles weresearched for relevant citations.

2.2. Study selection

Studies reporting the efficacy of the surgical treatment of painfulneuromas were included in this meta-analysis. Studies ofneuroma prevalence, primary prevention of neuroma, or mech-anisms of painful neuroma formation were not included in ouranalysis. Studies reporting treatment of neuromas not in theextremities or specifically dealing with nerve compression andMorton’s neuroma (a distinct clinical entity more akin to nervecompression) were excluded. Case-reports, nonsequentialpatient series, and studies only reported in abstract form wereexcluded to reduce selection bias within studies.

Theprimaryoutcomeanalyzedwas theproportionof patientswithmeaningful reduction of pain. Outcomes reporting varied acrossstudies and included patient satisfaction, surgeon examination, andordinal pain scales such as the VAS. Therefore, we defineda meaningful reduction of pain as a pain score reduction of 3 ormore, final visual analogue pain less than 4, or patient or surgeonreport of meaningful improvement as defined in each study.

2.3. Data extraction and validity scoring

Two authors independently assembled the following informationfor each study: year of publication, period that surgeries wereperformed, surgical technique performed, outcome definition,age range of study population at the time of surgery, duration ofpain symptoms prior to surgery, number of previous neuromapain operations, affected extremity and nerve, and confoundingvariables (socioeconomic status, employment status, workman’scompensation or other litigation, and smoking). Studies weregrouped according to the surgical technique used. Surgicaltechniques were categorized as excision-only, excision and cap(with any device intended to stop regeneration), excision andtransposition (surgical movement of the nerve from its nativecourse into bone, muscle, or vein), excision and repair (direct ornerve graft repair), or neurolysis and coverage with transposedsoft tissue (muscle, fascial, or adipose flap) (Table 1). Wheredisagreement among data extractors arose, adjudication wasaccomplished by a third reader and discussion among authors.

To assess the quality of information in each study, we developeda 15-point scoring technique modeled on the Downs and Blackchecklist for assessing methodological quality of nonrandomizedstudies (Appendix 1, available online as supplemental digitalcontent at http://links.lww.com/PAIN/A506).24 Specifically, weassessed the clarity of the surgery performed, the precision ofthe outcomes reported, whether information on potential con-founders was reported, whether complications of bad outcomeswere reported, and quality of bias analysis. Recognizing thelimitations of quality scoring to account for bias among stud-ies,35,40,43 detailed data were collected on study characteristicsthought most likely to bias study results, namely objectivity of theoutcome reported, follow-up duration, the proportion of patientslost to follow up, and known confounders for successful relief ofpain when available. Using this scale, a higher number equateswith higher quality of information presented.

2.4. Statistical analysis

Raw categorical data from relevant studies were used to calculateproportions with 95% confidence intervals (CIs) of patients who

experienced a meaningful reduction of pain. Individual proportionswere combined by means of DerSimonian-Laird random-effectsmodels, given the variety of surgical techniques, geographiclocations, and patient populations among studies.21,65 A continuitycorrection of 0.1 was used for studies with a proportion of 0 or 1.Cochran Q and Higgins I2 tests were used to assess heterogeneityamong studies. Given the modest statistical power of these tests,we considered heterogeneity as significant if P, 0.1 or I2 . 30%.

We explored sources of heterogeneity with stratified analysis ofgroup differences when significant heterogeneity was notedamong studies for a confounder and when more than 15 studiesreported the confounder of interest. Stratified analyses examiningsurgical group differences were performed for confoundingvariables. For studies with multiple surgical groups, confoundinginformation for each surgical group was used when available.Otherwise, mean or median data from each study as a whole wasapplied to each group to allow categorization. Analysis ofvariance was performed using a Bonferroni correction tocompare multiple groups.

Meta-regression was also used to explore sources ofheterogeneity. After calculating the log odds ratio of patientswith meaningful reduction of pain and standard error of the logodds ratio, a forward, step-wise meta-regression was performedwith potential confounding variables as covariates. Confounderswere considered significant in the model if they altered theb-coefficient for surgery type by more than 10%.58 We assessedpublication bias graphically using Hunter’s method for creatingfunnel plots and formally tested funnel asymmetry using Peters’test.42,71 All statistical analyses were performed using StataIC 13(StataCorp, College Station, TX) and the METAPROP, META-REG, and METAFUNNEL software packages.

3. Results

3.1. Sources

Our electronic literature search and review of bibliographiesidentified 1328 studies. After abstract review excluding duplica-tions and studies not relevant to the subject of interest, 85 full-textstudies were reviewed. After exclusion of studies not meeting theinclusion criteria, 54 studies reporting 74 treatment groups andresults for 1381 patients were included in the final analysis (Fig. 1).

The reviewed studies were conducted over a period of morethan 30 years (1976-2015), in 16 countries, reflecting a variety ofmedical practices and reporting techniques. Among the 54included studies, 4 studies (7%) were conducted prospectively.Thirty-nine (72%) studies reported outcomes for a single surgicaltechnique, 11 (20%) reported outcomes for 2 techniques, 3 (6%)presented 3 techniques, and 1 (2%) reported 4 techniques. Ingeneral, each technique correlated with a treatment group;however, 6 studies described multiple techniques that werecategorized into the same treatment group. Excision andtransposition was the most commonly reported technique fortreating neuroma, with 34 studies (63%) including this group.Nineteen studies (35%) included an excision-only group, 11studies (20%) included a neurolysis and coverage group, 10studies (19%) included an excise and repair group, and 4 studies(7%) included an excise and cap group (Table 1).

Thirty-five studies (65%) reported treatment of neuromas in theupper extremity, 12 (22%) reported on lower extremity neuromas,and 6 (11%) reported on neuromas in both upper and lowerextremities. One study (2%) did not specify neuroma location butdid include intraoperative photographs of the upper extremities.Thirty-six studies (67%) reported results after treatment of

February 2018·Volume 159·Number 2 www.painjournalonline.com 215

Copyright � 2018 by the International Association for the Study of Pain. Unauthorized reproduction of this article is prohibited.4

Table

1

Reportsofoutcomesstudiesofsurgicaltreatm

entforpainfulneuroma.

Study

Year

Country

Type

ofsurgery

Location

Meanfollow-up(m

o)Qualityscore

(15pointscale)

No.of

patients/group

No.of

improved

(%success)

Adanietal.3

2014

Italy

Neurolysisandcoverage

UE

41.5

6.5

86(75)

Adanietal.2

2002

Italy

Neurolysisandcoverage

UE

23.2

5.5

98(89)

Athertonetal.5

2008

UnitedKingdom

Excise

andtranspose

UE

327

3328

(85)

Athertonetal.6

2007

UnitedKingdom

Excise

andtranspose

UE

NR,6mominimum

6.5

3325

(76)

AthertonandElliot4

2007

UnitedKingdom

Excise

andtranspose

UE

33.7

7.5

76(86)

Balcinetal.7, *

2009

Switzerland

Excise

andtranspose

LE12

12.5

104(40)

Excise

andtranspose

106(60)

BarberaandAlbert-Pamplo8

1993

Spain

Excise

andcap

LE15

622

21(95)

Bek

etal.9

2006

Turkey

Excise

only

UE

71.5

714

14(100)

Bourkeetal.10

2011

UnitedKingdom

Excise

only

LENR

5.5

105(50)

Burchieletal.11

1993

UnitedStates

Excise

andtranspose

NR

113.5

188(44)

Excise

andtranspose

104(40)

Neurolysisandcoverage

50(0)

ChiodoandMiller14

2004

UnitedStates

Excise

andtranspose

UE

2711

149(64)

Excise

andtranspose

1214

13(93)

DellonandBarrett1

82005

UnitedStates

Excise

only

LENR,6mominimum

913

10(77)

Dellonetal.19

2004

UnitedStates

Excise

andtranspose

UE

16.8

9.5

99(100)

Dellon1

62002

UnitedStates

Excise

andtransposeexcise

only

UE

NR

327

27(100)

43(75)

DellonandAszmann1

71998

UnitedStates

Excise

andtranspose

LE29.5

711

9(82)

DellonandMackinnon

20

1986

UnitedStates/Canada

Excise

andtranspose

UEandLE

3110

6053

(88)

Ducicetal.25

2010

UnitedStates

Excise

andtranspose

LE34

9.5

3529

(83)

Ducicetal.26

2008

UnitedStates

Excise

andtranspose

LE22.8

10.5

2120

(95)

Elliotetal.27, *

2010

UnitedKingdom

Neurolysisandcoverage

UE

1911

1410

(72)

EvansandDellon2

81994

UnitedStates

Excise

andtranspose

UE

1911

1312

(92)

GuseandMoran

36

2013

UnitedStates

Excise

andtranspose

UE

240

10.5

116(55)

Excise

only

177(41)

Excise

andrepair

2823

(82)

Hazariand

Elliot37

2004

UnitedKingdom

Excise

andtranspose

UE

NR,2mominimum

635

34(97)

Excise

andtranspose

1313

(100)

HerbertandFilan3

81998

Australia

Excise

andtranspose

UE

158.5

149(64)

Herndon

etal.39

1976

UnitedStates

Neurolysisandcoverage

UE

306

1512

(80)

Neurolysisandcoverage

1812

(67)

Kakinokietal.45

2003

Japan

Excise

andtranspose

UE

237

107(70)

(contin

uedonnext

page)

216 L.H. Poppler et al.·159 (2018) 214–223 PAIN®

Copyright

�2018

bytheInternationalAssociatio

nfortheStudy

ofPain.

Unauthorizedreproductio

nof

thisarticle

isprohibited.

5

Table

1(continued)

Study

Year

Country

Type

ofsurgery

Location

Meanfollow-up(m

o)Qualityscore

(15pointscale)

No.of

patients/group

No.of

improved

(%success)

Kakinokietal.44

2008

Japan

Excise

andrepair

UE

1710

99(100)

Kandenweinetal.46

2006

Germany

Excise

andrepair

UE

518

30(0)

Excise

andtranspose

81(13)

KimandDellon4

72001

Korea/UnitedStates

Excise

andtranspose

LE18.5

9.5

1613

(81)

Koch

48

2011

Austria

Excise

andtranspose

UEandLE

43.6

825

23(92)

Koch

etal.49

2003

Austria

Excise

andtranspose

UEandLE

26.5

823

20(87)

Krishnan

etal.51

2005

Germany

Neurolysisandcoverage

excise

only

UEandLE

18.3

103

3(100)

15.3

44(100)

Labordeetal.52

1982

UnitedStates

Excise

only

UE

NR

232

13(41)

Excise

andtranspose

64(67)

Excise

andrepair

42(50)

Neurolysisandcoverage

88(100)

LanzettaandNolli53

2000

Italy

Excise

only

UE

NR,6mominimum

77

7(100)

Lohetal.55

1998

England

Excise

only

UE

NR

66

5(83)

Mackinnon

andDellon5

61987

UnitedStates/Canada

Excise

andtranspose

UE

NR

1052

42(81)

Martinsetal.59

2014

Brazil

Excise

andrepair

UE

28.3

10.5

77(100)

Masqueletetal.60

1987

France

Excise

andtranspose

UE

NR

520

18(90)

NahabedianandJohnson6

3, *

2001

UnitedStates

Excise

andtranspose

LE28

10.5

2521

(84)

NoordenbosandWall67

1981

Netherlands/England

Excise

andrepair

UEandLE

NR,20

mominimum

8.5

51(20)

Excise

only

20(0)

Novak

etal.68

1995

UnitedStates/Canada

Excise

andtranspose

UE

6010.5

7045

(64)

Resiman

andDellon7

51983

UnitedStates

Neurolysisandcoverage

UE

22.1

712

11(92)

Roseetal.76

1996

UnitedStates

Neurolysisandcoverage

UE

246.5

88(100)

Sarrisetal.77

2002

UnitedStates

Excise

andtranspose

UE

268

88(100)

Sehirliogluetal.78

2007

Turkey

Excise

only

LE33.6

675

75(100)

Souzaetal.80

2012

UnitedStates

Excise

only

LE25.7

77

6(86)

Spauwen

andHartman

81

1999

Netherlands

Neurolysisandcoverage

UE

248

109(90)

Stahland

Rosenberg83

2002

Israel

Excise

only

UE

610

32(66)

Excise

andtranspose

99(100)

Stahland

Goldberg8

21999

Israel

Excise

andcap

UE

NR

82

2(100)

Excise

andrepair

99(100)

Stokvisetal.84, *†

2010

Netherlands

Excise

andtranspose

UE

228.5

197(37)

Excise

andrepair

63(50)

Tennentetal.85

1998

England

Excise

only

LENR

43

3(100)

(contin

uedonnext

page)

February 2018·Volume 159·Number 2 www.painjournalonline.com 217

Copyright

�2018

bytheInternationalAssociatio

nfortheStudy

ofPain.

Unauthorizedreproductio

nof

thisarticle

isprohibited.

6

cutaneous sensory nerve neuromas, 11 studies (20%) reportedresults after treatment of major nerve (e.g., ulnar, median, sciatic)neuromas, and 5 studies (9%) reported results for both. Twostudies (4%) did not specify if major or cutaneous nerve weretreated.

In the included studies, the mean age of patients was 41.6 67.1 years. The median follow-up was 24 months (interquartilerange [IQR]: 17-31), and the median duration of symptoms priorto surgery reported was 21 months (IQR: 10-41). The medianpercentage of patients who had one or more prior operations forneuroma pain among studies was 29% (IQR: 0-1).

3.2. Patient identification

Forty-eight studies (89%) reported clearly how they diagnosedneuromas in their patients. In all cases, the physical examinationwasthe primary method of neuroma identification. Twenty-nine studies(54%) supplemented this with a diagnostic nerve block. Threestudies (6%) also used an MRI or ultrasound to aid in diagnosis.

3.3. Outcomes reporting

Outcomes reporting and duration of follow-up varied widelyacross studies. Many studies reported numerous outcomes.Thirty-eight studies (70%) used a nonstandard ordinal scale suchas no pain, mild pain, moderate pain, or severe pain as theirprimary outcome. Only 15 studies (28%) included a 10-point VASto report pain, and only 8 (15%) used it as a primary outcome.Four studies (8%) used patient satisfaction as a primary outcome.Four studies (8%) reported a reduction in pain on physicalexamination or improved functional status as the primaryoutcome. One study (2%) reported only that all patients hadcomplete pain relief and were able to return to normal activities.One study (2%) determined success of treatment fromdecreaseduse of analgesic pain medication.

Forty-four studies (81%) explicitly reported partial vs completepain relief. Five studies (9%) reported scores on the DASH scalebefore and after treatment. Fifteen studies (28%) reported patientsatisfaction. Most studies (40 of 54 [74%]) reported only meanfollow-up duration rather than the timing of outcome assessment.Three studies (6%) reported only a follow-up range, and 2 studies(4%) reported minimum follow-up only. Only one study (2%)reported the exact time of outcome assessment.

3.4. Quality of studies

Among the 54 studies included, the quality of informationreported was inconsistent, limiting our ability to analyze con-founding variables as sources of heterogeneity. On a scale from0 to 15, with 0 representing no important information presentedand 15 representing most important information presented, themedian score was 8.0 (IQR: 6.4-10.0). Studies consistentlyreported their aims, hypotheses, patient identification criteria, andsurgical technique. Patient selection, outcomes assessment, andcomplications were rarely clearly reported.

3.5. Sources of confounding bias

Based on the literature review, we considered the followingconfounding variables important when assessing outcomes fortreatment of painful neuromas: sex, age, duration of symptoms,timing of outcome assessment, number of prior neuroma painoperations, nerve involved, employment status, workers’ com-pensation claims or pending litigation, smoking status, body

Table

1(continued)

Study

Year

Country

Type

ofsurgery

Location

Meanfollow-up(m

o)Qualityscore

(15pointscale)

No.of

patients/group

No.of

improved

(%success)

Thom

asetal.86

1994

England

Excise

andrepair

UEandLE

126.5

203(15)

Thom

senandMackinnon

87

2010

France

Excise

andrepair

UE

11.8

7.5

1010

(100)

Tupperetal.89

1976

UnitedStates

Excise

only

UE

12.1

3.5

153

98(64)

Excise

andcap

24.6

177(41)

Excise

andcap

1728

19(68)

Vaientietal.91

2013

Italy

Excise

andtranspose

UE

1211

84(50)

*Prospectivestudy.

†Randomized

trial.

LE,lowerextrem

ity;NR,notreported;UE,upperextrem

ity.

218 L.H. Poppler et al.·159 (2018) 214–223 PAIN®

Copyright � 2018 by the International Association for the Study of Pain. Unauthorized reproduction of this article is prohibited.7

mass index, and socioeconomic status. No study reported all ofthese variables and no study reported why or how confounderswere selected. Among studies reporting confounders, only 9studies (17%) considered confounding in their analysis.

3.6. Meaningful reduction of pain by surgery type

Among all studies, the proportion of patients with a meaningfulreduction in pain was 77% (95%CI: 73-83).When stratified by thetreatment group, there were no significant differences betweentreatment groups in the outcome of meaningful reduction in pain(P . 0.05). However, the excision and transposition group hadthe highest proportion of patients with a meaningful painreduction (81% [95% CI: 75-86]) and the most consistent results.Despite this, a large amount of heterogeneity was observed in alltreatment groups, I2 range 85.7% to 95.6% (Fig. 2).

3.7. Stratified analyses

To tease out possible guidelines for future surgical treatment ofneuromas, stratified analyses examining surgical group differenceswere performed for confounding variables. These included age,follow-up duration, symptom duration prior to definitive neuromasurgery, proportion of patients with 1 or more prior neuroma painsurgeries, neuroma location, affected nerve caliber (major nerve vscutaneous nerve), primary outcome, study quality, and studypublication year. Study groups were categorized according to themean symptom duration reported prior to neuroma surgery into:duration less than 12 months, duration of 12 to 23 months,duration greater than 24months, and not reported. Among groups

with mean symptoms duration greater than 24 months, excisionand transposition (74%patients improved [95%CI: 0.65-0.83]) andneurolysis and coverage (91% patients improved [95% CI: 0.80-1.00]) were significantly better than excision and repair (20%patients improved [95% CI: 0.05-0.34]), P , 0.05 for bothcomparisons. Among groups with mean symptom duration lessthan 12 months, or 12 to 23 months, there were no significantdifferences between surgery types.

Study groups were categorized according to the proportion ofpatients who had one or more surgeries for neuroma pain prior tothe reported surgery (0%-15%, 16%-30%, 31%-45%, 46%-60%, and greater than 60%). Among studies with greater than60% patients with one or more prior surgeries specifically forneuroma pain, excision and transposition (78% patients im-proved [95% CI: 0.66-0.90]) and neurolysis and coverage (96%patients improved [95% CI: 0.90-1.00]) were significantly betterthan excision-only (30% patients improved [95% CI: 0.02-0.59]),P , 0.05 for both comparisons. No significant differences wereseen between surgery types in groups with less than 60%patients with one or more prior operations for pain. No significantdifferences in the proportion of patients with a meaningful painreduction among study groups were seen regardless of age,follow-up duration, location (upper vs lower extremity), affectednerve caliber, primary outcome used, study quality, or publicationyear.

3.8. Regression analysis

Meta-regression was performed to examine for confoundingeffects of mean age, mean follow-up duration, mean symptomduration, proportion of patients with one ormore prior operations,nerve caliber, and primary outcome reported. Within the multipleregression models, the primary outcome reported, mean patientage, and proportion of patients with 1 or more prior operationsaltered the effect estimate of surgery type on proportion ofpatients with meaningful improvement after neuroma surgery bymore than 10%, suggesting that these factors do confoundtreatment effect.

3.9. Bias analysis

Funnel plot analysis of study groups was symmetric, suggestingthat there was no publication bias among studies (Appendix 2,available online as supplemental digital content at http://links.lww.com/PAIN/A506). Peters’ test for publication bias confirmedthese results (P 5 0.24).

4. Discussion

Awide variety of surgical techniques are described in the literatureto treat painful neuroma. Thus, the goal of thismeta-analysis of 54studies reporting outcomes after surgical treatment of painfulneuromas was to evaluate surgical effectiveness, establisha hierarchy of effective techniques, and delve into the impact ofconfounders on effective surgical treatment. When evaluating thestudies that met the inclusion criteria, our data demonstrate thatclinically meaningful improvement of pain can be achieved withsurgical intervention. However, the most effective surgicaltechnique was not elucidated, as we found no significantdifferences between the various surgical techniques. Further,the overall quality of most of the studies reviewed was low andexcitement for these results must be tempered.

Despite the low quality of most of the studies, the large numberof studies, surgical groups, and patients included in this meta-

Figure 1. Study selction process.

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Figure 2. Fifty-four studies describing 74 groups were included in this meta-analysis of the proportion of patients successfully treated with surgery for neuromapain. Overall, 77% (95% confidence interval: 73-83) of patients had a meaningful reduction in pain. The type of surgery performed did not make a significantdifference to the proportion of patients successfully treated. Square grey boxes with a dot represent the reported proportion of patients with pain reduction. Theline surrounding this box represents the 95% confidence interval for that proportion. The blue diamonds represent the estimate of proportion of patients withreduction in pain for each surgery type, and overall, derived from the study groups included using random-effects meta-analysis of proportion.

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analysis allowed for exploration of the role of confoundingvariables on neuroma surgery outcomes. There was no evidenceof publication bias, suggesting that the reported outcomes arereliable. Our categorization schema and subdividing patients intosurgical groups by technique is a reflection of the surgicalliterature, descriptions, and experience. This meta-analysiscannot assess if our categorization schema by technique wasmeaningful and this is a limitation to the study. Subtle differencesin technique are not well addressed with a meta-analysis andwould require a well-designed trial to flush out. Therefore, werecommend ongoing thoughtful analysis of outcomes andtechnique by surgeons in conjunction with pain specialists.

Overall, our data suggest that most patients with a painfulneuroma deemed appropriate surgical candidates by thesurgeon will have a meaningful decrease in pain with surgicalintervention and that in appropriately selected cases, the dogmathat “operating for pain will only result in more pain” may notapply.12,13,67 No information is included about patients withpainful neuromas that were not offered surgery. Therefore, anyconclusions about the effectiveness of surgery have to be limitedto patients deemed appropriate for surgical management, ie,indicated for surgery by the surgeon. We believe that patientselection and careful attention to correct diagnosis is the key tosuccessful outcomes.

When evaluating patients with painful neuromas, it isessential to distinguish between neuropathic pain becauseof compression neuropathy, direct nerve injury, or both,bearing in mind the distinct possibility of an associateddouble-crush phenomenon.90,94 Surgical treatment will varysignificantly for compression and neurotmetic injury.15,69 Thedistinction requires a detailed history and physical examina-tion. Identifying the appropriate nerve(s) involved in paingeneration is critical, especially considering overlap of nervedermatomes and frequent plexus formation between cuta-neous nerves.23,54,79 The importance of active patientparticipation in correct diagnosis cannot be overempha-sized.32 Further, a multidisciplinary approach to thesepatients with pain is essential. We recommend the involve-ment of pain management specialists, physical therapists,and psychological therapists in coming to the diagnosis anddecision for surgical intervention. In our experience, mis-diagnosis coupled with surgery can make a patient’s painworse.

Stratified analyses revealed 2 interesting findings. The firstwas that excision of a neuroma and transposition of the distalnerve end into muscle, bone, or vein or neurolysis of a neuromaand coverage with healthy vascularized tissue were superior toexcision-only or excision and capping in patients who hadneuroma pain for more than 2 years and in patients who hadmore than one previous surgery specifically to deal withneuroma pain. Why these procedures are superior in thesepatient populations cannot be answered by this meta-analysisand deserves further study. However, these populations arebelieved to be the most recalcitrant to surgical treatmentbecause of centralization of their pain.20,30 Therefore, becauseof their severity, these groups may allow the best evaluation ofthe surgical treatments.

Numerous authors have suggested that the microenvironmentcan affect painful neuroma formation.33,45,72,96 Placing the cutnerve end into muscle is shown to decrease neuroma size andmyofibroblast infiltration, potentially decreasing pain signal-ing.57,95 Placing the cut nerve end deep within a muscle or undera vascularized flap also protects it from external stimuli and blocksaxon regeneration to the skin.50,57 Skin may serve as both

a mechanical and biological irritant, especially in an inflamed,multiply operated wound bed.61,70 Other mechanical irritantsshould also be carefully observed by limiting tension and motionon the cut nerve end.20 Our clinical experience with vascularizedtissue coverage of a neuroma has not been positive unless thesource of neuroma pain is addressed with neuroma excision orneuroma excision and repair.88

The results of this study are consistent with previously publishedwork stating that 20% to 30% of neuromas will be refractory totreatment, regardless of the type of surgery performed.36,64 Initialresults can be misleading, and reoperation rates as high as 65%have been reported in some studies.36,37,52 Unfortunately, reopera-tion rates can be difficult to track and were rarely reported in theincluded studies. Studies also suggest that neuroma location or sizecan affect outcomes.20,31,36 In this study, neuroma location in thelower vs upper extremity made no difference. Neuroma size wasrarely reported, which precluded a meaningful interpretation of itsimpact.

As with all systematic reviews and meta-analyses, our ability todraw conclusions is limited by the quality of information in theprimary studies included. Studies only reported amedian of 8, outof 15 possible, key factors pertinent to patient outcome. Allstudies failed to include at least one important factor, and moststudies failed to report or perform any bias analysis with theirresults. Although included data were sufficient to performstratified and multivariate regression analysis, our inability todetect significant differences among treatment groups does notconfirm equivalence of these techniques. Rather, this lack ofdifference is likely an indication of the granularity of our data andheterogeneity in outcomes and confounding variables reportingamong studies.

Therefore, one of the major conclusions of this study that is wemust improve the quality of data reporting in the literature toimprove the acceptance and validity of surgical treatment forpainful neuromas. In particular, studies need to include cleardescriptions of how a neuroma is diagnosed, clear inclusion andexclusion criteria, and data about confounders such as age,ethnicity, smoking status, socioeconomic status, employmentstatus, and litigation or workers’ compensation claims. Thesedata should include precision estimates and not just ranges.Similarly, outcomes reporting should be standardized. Wesuggest using a pre- and post-operative VAS in conjunction witha pain diagram and list of pain adjectives. We use a standardizedpain assessment sheet at every visit (Appendix 3, available onlineas supplemental digital content at http://links.lww.com/PAIN/A506). It is essential that future studies collect long-term follow-up data on patients and include nonbiased reporting ofreoperative rates and treatment failures.

5. Conclusions

Surgical management of painful neuromas led to clinicallymeaningful improvement of pain in approximately 77% of casesregardless of surgical technique used. Although no techniqueproved to be clearly superior, these data demonstrate thatsurgical intervention should be considered in the treatmentalgorithm for patients suffering from painful neuroma refractory tomedical management. Future studies evaluating the surgicaltreatment of neuroma, or those comparing surgical techniques,need to be careful to define their treatment, outcomes, inclusion/exclusion criteria, and should account for confounding variablesto provide meaningful data and to facilitate the evidence-basedtreatment of our patients with painful neuromas.

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Conflict of interest statement

The authors have no conflict of interest to declare.R. P. Parikh is supported by a NIH Ruth L. Kirschstein National

Research Service Award Institutional Research Training Grant(T32CA190194, PI Colditz).

Acknowledgements

Theauthors thank theNational Center for Advancing TranslationalSciences for grant UL1 TR000448 that helped make this workpossible.

Appendix A. Supplemental digital content

Supplemental digital content associated with this article can befound online at http://links.lww.com/PAIN/A506.

Article history:Received 29 April 2017Received in revised form 15 October 2017Accepted 26 October 2017Available online 20 November 2017

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Biennial Review of Pain

Transition from acute to chronic pain after surgeryPatricia Lavand’homme

1. Introduction

Any tissue trauma can lead to “chronic pain,” which by definition ispain that persists past the normal healing time.40 This type of painis frequent after surgery. In 1998, Crombie et al.8 noted that 22.5%of patients attending pain clinics attributed their pain to a previoussurgery, and since then, numerous original research articles,review articles, and editorials have addressed chronic pain aftersurgery. Long-term pain after surgery causes disability andsuffering associated with reduced quality of life and increaseduse of health care resources. For that reason, chronic postsurgicalpain (CPSP) has become a health priority and will be included inthe new version of the International Classification of Diseases

(ICD-11), as a result of the combined efforts of the World HealthOrganization (WHO) and the IASP.40 Adequate pain treatment isa human right, and the inclusion of CPSP in the ICD-11 isexpected to increase recognition of the problem and promoteinterdisciplinary research in the field. Indeed, CPSP is nowaccepted as an important outcome of surgery. Researchers havedetermined its prevalence in the adult population and examined itsincidence after various procedures. However, while the globalvolume of surgeries is increasing worldwide,41 the occurrence ofCPSP has not really decreased over the years because preventivestrategies are not clearly defined and thereby not applied in clinicalpractice, in contrast to the progress made in basic research in theunderstanding of incisional pain physiology.10

In daily clinical practice, the transition from acute postoperativepain to CPSP is often subtle and unpredictable. Rather thanfocusing on pathophysiological mechanisms, the followingdiscussion will address clinical aspects, ongoing improvementsin management, and future challenges.

2. The “problem” of chronic postsurgical pain:evolution and new approaches

Chronic postsurgical pain may occur irrespective of the type ofprocedure, although some surgeries carry a higher risk in relationto the degree of tissue damage and the potential for a majorinflammatory reaction or nerve injury. An editorial5 dedicated toacute postoperative pain summarized the situation as follows:“CPSP develops in 1 of 10 surgical patients and becomes an

intolerable pain condition after 1 of every 100 operations.” In2016, studies from large cohorts of patients and prospectivestudies still showed the same prevalence (Table 1), despitea significant evolution in surgical techniques. Laparoscopicprocedures and minimally invasive approaches have only slightlymodified the incidence of CPSP, but their impact on the intensityand duration of CPSP deserves further assessment. A recentmulticenter observational study on CPSP in Europe reportsa 12-month incidence of 11.8% for moderate CPSP and 2.2% forsevere CPSP (defined by a score .6 on a numeric rating scaleranging from 0-10).13

The nature of CPSP is often poorly characterized in clinicalstudies. However, a neuropathic component may exist in around35% of cases.40 The reported prevalence of a neuropathiccomponent differs among surgical procedures, depending on thelikelihood of surgical iatrogenic nerve injury and themethod or toolused to assess its presence.11,16 Signs of neuropathic pain areimportant to detect because they are always associated withhigher pain intensity and a poorer quality of life.11–13 Furthermore,neuropathic pain requires a specific therapeutic approach.

For several years, CPSP has been assessed in adulthospitalized patients undergoing major surgical procedures suchas thoracic surgery or limb amputation. Recently, orthopedicprocedures and specifically joint replacements have beenconsidered as a major risk for development of CPSP.13,37 Thevolume of knee and hip arthroplasties is growing because thepopulation is growing older and inflammatory diseases as well asobesity are becoming more frequent. Although outcomes interms of pain relief and mobility are highly successful for mostpatients undergoing joint arthroplasty, 20% of them will developCPSP after knee arthroplasty and 10% after hip arthroplasty.33

The intensity of CPSP is greater after joint arthroplasty than aftervisceral or gynecological surgery.13

It is unfortunate that CPSP data are still missing for specificpopulations and subgroups of patients because they might yieldimportant findings for a better understanding of the chronificationof acute postoperative pain. Only recently, CPSPwas found to bean important problem in children. The prevalence of CPSP islower when surgery is performed at a younger age, perhapsbecause surgical procedures are simpler and recovery is fasterduring childhood.29 Nevertheless, CPSP has a significant impacton any child’s quality of life and is associated with poor long-termoutcomes. Therefore, better understanding of the context ofCPSP development in children is mandatory to prevent painpersistence into adulthood. Furthermore, studying CPSP inchildren is a unique opportunity to assess the role of pain ata critical period of development and to determine the impact ofprotective factors vs risk factors, including hormonal factors andsocial variables such as parental influence.

Studies addressing recovery from CPSP in the context ofoutpatient surgery are scarce.11,18 Although outpatient surgerymight be different in terms of tissue damage and anesthetic

Sponsorships or competing interests that may be relevant to content are disclosed

at the end of this article.

Department of Anesthesiology, Cliniques Universitaires Saint-Luc, University

Catholic of Louvain, Brussels, Belgium

Address: Department of Anesthesiology, Cliniques Universitaires Saint-Luc, University

Catholic of Louvain, Ave Hippocrate 10-1821, B-1200 Brussels, Belgium. Tel.:132 2

7641821; fax:1322 7643699. E-mail address:[email protected]

(P. Lavand’homme).

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technique, that it is often associated with suboptimal acutepostoperative pain control, and that its psychological impactmight be lower in outpatients (with less anxiety and lesscatastrophizing), the prevalence and intensity of CPSP do notseem to differ between outpatients and hospitalized patients(Table 1). Today, more and more patients are included in ERAS(enhanced recovery after surgery) programs. However, theoptimal perioperative multimodal care provided in such programsdoes not seem to influence the outcome of patients with CPSP.39

We lack data on the prevalence of CPSP in patients withpsychiatric diseases and in less-developed countries. Findings inthose populations might be important in helping us to betterunderstand the development of CPSP.

3. The resolution of pain after surgery: pointing toa novel definition of chronic postsurgical pain

Fortunately, CPSP resolves over time. Of all patients with CPSP 6months after surgery, 55.8% will be pain free at 12 months,whereas 2.9%of patientswithout pain at 6monthswill report somepain at 12 months.13 Such findings reinforce the fact that CPSPdoes not always develop on a continuum from acute postsurgicalpain; new studies should assess all patients at several time points.Not only the incidence but also the intensity of CPSP decreaseswith time.11 Furthermore, studies focusing on neuropathiccomponents of CPSP have highlighted the variability of theseaspects over time.35 Several problems arise when investigatingCPSP, and the first involves its definition.25 Werner and Kongs-gaard42 proposed an updated definition based on observationsand the most important concerns raised during the last few years(Table 2). These criteria will factor into the definition of CPSP thatwill be included in the ICD-11.40 The major points are as follows:(1) Chronic postsurgical pain is either a continuum of acutepostoperative pain or develops after an asymptomatic period;

(2) Chronic postsurgical pain shows greater intensity or differentpain characteristics than preoperative pain (an important pointregarding CPSP after orthopedic procedures, where preoper-ative pain may affect up to 80% of patients undergoing surgery);

(3) The cutoff for CPSP has now been fixed at 3 months aftersurgery becausehealing times differ amongdifferent procedures;for major orthopedic surgeries such as hip and knee arthroplas-ties, pain reaches its lowest level by 3 months after surgery.28

4. Predictive tools: strengths and weaknesses

Chronic postsurgical pain may develop after any surgical pro-cedure, and the fact that the pain is sometimes disproportionate to

the degree of tissue trauma underlines the major role of individualfactors. In pain clinics, the suffering expressed by patients resultsfrom both pain amplification and psychological distress. Asprevention is always better than a cure, the development ofreliable predictive tools to detect the high-risk patients for CPSP ismandatory. Studies investigating the association of CPSP with 90genetic markers found no evidence for genetic predisposition ina subset of 1000 patients, whereas 6 clinical factors predicted73% of the chronic postsurgical pain that developed.27 Today,despite the hopes and promises of genetic research, which hasrevealed several links between gene polymorphisms and sensi-tivity to pain, clinical risk factors remain the best availablepredictors of CPSP. However, in daily practice, even if the riskfactors are well known, the proposed risk index is still not sensitiveand specific enough to determinewhich patients are atmost risk.2

The chronification of postoperative pain often remains subtle, andthe risk factors involved in the transition from acute to chronicpostsurgical pain probably differ from those involved in maintain-ing chronic pain once it has developed.19 The most important riskfactors involved in the development of CPSP are as follows:(1) the intensity of acute postoperative pain;(2) the presence of preoperative pain in the body part to beoperated on or elsewhere (including coexisting chronic painfulconditions such as fibromyalgia, headache, low back pain, orrestless leg syndrome);

(3) symptoms of psychological distress and major stress such asdepression, extreme anxiety, or catastrophizing.Acute postoperative pain intensity, “recalled pain” in retro-

spective studies, is a highly prominent risk factor although theassociation between acute postoperative pain and CPSP is not

Table 1

Picture of perioperative pain: evolution of the incidence of preoperative pain, acute postoperative pain, and chronic postsurgical

pain in different populations.

Population Preoperative pain Severe acutepostoperative pain

CPSP moderate/severe

Crombie et al,8 Adult patients in pain clinics 22%

Macrae,25 Adult population 10%-50%/4%-10%

Johansen et al, 2012 General adult population 18.3% (6.2% without preoperative pain)

Fletcher et al,13 Adult inpatients 35%-60% 30% 11.8%/2.2%

Hoofwijk et al,18 Adult outpatients 37.7% 26.7% 15.3%/2.3%

Nikolajsen and Brix29 Pediatric population 13% (with NRS . 3)*

* NRS: Numeric rating score on a scale from 0 (no pain) to 10 (worst possible pain).

CPSP, chronic postsurgical pain.

Table 2

Updated definition of chronic postsurgical pain.

Pain developed after a surgical procedure or increased in intensity after the surgical

procedure.

Pain should be of at least 3 mo duration with a significant negative effect on the

quality of life.

Pain is a continuation of acute postoperative pain or may develop after an

asymptomatic period

Pain is localized to the surgical field or to a referred area (eg, innervation territory,

referred dermatoma for visceral surgery).

Other possible causes for the pain have been excluded (eg, infection, cancer

recurrence)

Italic characters concern the modifications proposed and added to the initial definition (from Macrae WA,

2008,25 and Werner MU and Kongsgaard UE, 201442). The current definition of chronic postsurgical pain has

been accepted by the IASP Task Force on Chronic Pain and will be included in ICD-11.

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necessarily a causal one. An estimated 30% of patients enduresevere pain (numeric rating scale . 6) during the first 24 hoursafter surgery, even after minor procedures.14 Fortunately for thepatients, not all of those who experience severe acute post-operative pain will develop CPSP. Conversely, and unfortunatelyfor the patients’ caregivers, optimal control of acute post-operative pain is not a guarantee that CPSP will not develop, ashighlighted by the failure of current perioperative treatments suchas multimodal analgesia and local and regional techniques tosignificantly reduce the incidence of CPSP.6 Indeed, epiduralanalgesia may prevent CPSP after thoracotomy in 1 of 4 patients,and paravertebral block may prevent CPSP after breast cancersurgery in 1 of 5 women, which supports the mandate to targethigh-risk patients and to individualize perioperative manage-ment.22 Postoperative pain and the development of CPSP notonly vary among individuals but are dynamic processes. The factthat a 10% increase in the percentage of time in severe pain isassociated with a 30% increase in the incidence of CPSP at 12months certainly demonstrates that acute postoperative painintensity is a risk factor for some patients.13 However, it does notallow us to determine which patients are at high risk.

The resolution of postoperative pain matters more than theinitial pain intensity. The development of “pain trajectories” shouldallow us to characterize an individual’s postoperative pain andthereby identify abnormal resolution of acute pain.7 In a study thatmapped pain trajectory patterns, and specifically the slope of thetrajectory (ie, pain resolution), during the first week after surgery,25% of patients showed no pain resolution (a flat slope), whereas12% of patients had a greater postoperative pain (a rising slope).In a study on pain after total knee replacement, patients whosepain was increasing a week after surgery were still in severe pain 3months after surgery, and their CPSP had a neuropathiccomponent.23

There are 2 lessons to be learned from these observations.First, the control of acute postoperative pain should includecorrect assessment of pain and early intervention with accuratetreatment. The diagnosis of a neuropathic component in the earlypostoperative period is feasible with the use of adequate tools.Back in 2002, Hayes et al.17 pointed out that acute pain servicesoften neglected to assess neuropathic pain. They reported thatamong the 3% of patients diagnosed with neuropathic pain bytheir acute pain service, 78% had ongoing pain at 6 months and56% at 12 months.17

Second, the characteristics of pain are important in identifyingpatients at high risk for CPSP. Unfortunately, most clinical trials donot provide many details regarding the type of pain, eitherpostoperative or chronic; for example, only 40% of trials assesspain related to mobilization (ie, evoked pain), which plays a majorrole in rehabilitation after surgery.21 After laparoscopic cholecys-tectomy, 3 components contribute to the overall burden of pain:incisional pain (somatic pain), deep abdominal pain (visceral pain),and shoulder pain (referred pain). The 3 components showdistinct pain trajectories, with incisional pain having the highestpain scores.3 Surprisingly, the risk of chronic pain afterlaparoscopic cholecystectomy is significantly related to thevisceral pain response during the first week after surgery.4 Inpatients with osteoarthritis with joint pain, there is a growingrecognition of the importance of distinguishing between pain atrest and pain on movement, owing to different underlying painmechanisms and a different response to analgesic treatments.33

A recent study intended to explore the relationship betweenacute postsurgical pain and preoperative pain on one hand andCPSP on the other hand after knee and hip replacementsecondary to osteoarthritis, considering both pain at rest and

movement-evoked pain.36 The main findings of the study are thepreponderant influence of preoperative pain either at rest (for hiparthroplasty) or on movement (for knee arthroplasty) in predictingthe intensity of postoperative pain at rest or on movement.

Preoperative pain at the surgical site or elsewhere also standsas a major risk factor for persistent pain after surgery. Twoexplanations underlie the phenomenon: the link between painand sensitization to further pain and the impact of takingpreoperative analgesics. Patients taking opioid analgesics beforesurgery report higher acute postoperative pain and are ata greater risk for painful prolonged recovery, particularly afterorthopedic procedures.44 Is sensitization caused by opioid intakethe explanation? The answer is not so simple. Opioid analgesicsare not very effective against evoked pain (ie, pain associatedwithmovement). A prospective study on CPSP in outpatientsscheduled for orthopedic surgery found that in patients achievingeffective pain relief with preoperative analgesics, only 8%developed CPSP. By contrast, 32% of patients taking pre-operative analgesics without achieving effective pain reliefdeveloped CPSP.18 These data underline the complexity of therelationship between preoperative pain, its control, and CPSP.Further studies should focus on preoperative pain control asa preventive measure to reduce both the incidence of severeacute pain and the development of persistent pain after surgery.The experience of pain results from both pain amplification andpsychological distress, and some patients are more prone todevelop severe pain both immediately after tissue lesion andsubsequently. Thereby, progress in preventive strategies isstrongly linked to individualization of treatments based on theknowledge of the patient’s pain phenotype. The use ofquantitative sensory testing allows clinicians to determinea patient’s endogenous pain modulation profile43 and therebymight allow mechanism-based pain management as moreappropriate pain therapy. Around 68% to 82% of patientsscheduled for joint replacement present with preoperative paincaused by osteoarthritis.33 In those patients, nociceptiveperipheral pain is associated with a central sensitization processin 30% of cases, particularly when a neuropathic component ispresent.24,33 However, individualized perioperative treatmentsare rarely provided because the patient’s pain phenotype is nottaken into account.

Mental health has an important impact on the patient’s ability torecover after surgery. There is a vulnerable population ofindividuals with a reduced ability to cope with pain, to anticipatepain, and to control pain when confronted with it. A tendencytoward anxiety, psychological distress such as depression,hypervigilance, and catastrophizing are all risk factors for bothsevere acute postoperative pain and CPSP.1 However, theimportance of these psychological factors varies from onesurgical population to another. Catastrophizing has only a minorimpact on pain after cesarean section in comparison with its rolein pain after breast cancer surgery.35 Models of postoperativepain in children display 2 distinct trajectories: early recovery(49.8%) and late recovery (11.2%).34 While child catastrophizinghas no impact, parental pain catastrophizing before surgerysignificantly predicts late recovery. Furthermore, as time fromsurgery increases, parents exert more and more influence overthe pain response of their children.

Chronic postsurgical pain should be considered a “mixed painsyndrome” in which neuropathic pain represents one of thecomponents that, when present, contributes to pain severity andchronification.11 As a neuropathic component is present in atleast one-third of CPSP cases, determining the factors thatcontribute to whether or not a nerve lesion will become painful is

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highly relevant. Indeed, not all lesions in the somatosensorysystem lead to neuropathic pain.38 In the first 48 hours aftersurgery, higher pain intensity, a positive neuropathic pain score,and evidence of secondary hyperalgesia (a clinical correlate ofcentral nervous system sensitization) are all predictive of CPSPinvolving a major neuropathic component.26 A history of previousneuropathy is also a risk factor,11 which highlights the role ofgenetic predisposition to less-successful nerve regeneration afterinjury in the development of CPSP.38

5. The subacute pain period: the role of transitionalpain services

After hospital discharge, postoperative pain can last for severalweeks. This “subacute pain” period remains a rather neglectedarea, a “gray zone” of clinical investigations, despite its crucialrole in rehabilitation and the patient’s return to his or herpreoperative status.22 A few prospective studies have underlinedthe predictive value of 30-day or 6-week postoperative painintensity as a risk factor for the development of CPSP, forexample, after inguinal hernia repair and cosmetic breastsurgery.22 In clinical studies using long-term pain trajectoriesafter surgery, analysis conducted between 6 weeks and 3months shows subgroups of patients who will or will not resolvetheir pain after knee arthroplasty.32 The intensity of subacutepain 30 days after knee replacement is a risk factor for severeCPSP at 3 and 6 months.15 Pain intensity may even increaseduring the subacute period, revealing the presence of a neuro-pathic pain process, as observed after hernia repair ororthopedic surgery in rehabilitation units.30 It is worth notingthat not only pain intensity but also pain unpleasantness (theemotional aspect of pain) might be an important predictor ofsubsequent CPSP development, as highlighted in a pediatricpopulation during the subacute period (eg, at 6 weeks).31 In painclinics, patients who attribute their chronic pain to a specificcause often report a higher level of emotional distress and painintensity.8 For a large majority of patients, the worst pain periodoccurs at home (eg, outpatients) and during rehabilitation efforts(eg, orthopedic patients), which supports the implementation oftransitional pain units as an integral part of “perioperativemedicine” to provide the most effective pain treatment and todetect any risk of pain chronification as soon as possible.9,20

6. Conclusions

We currently have a good picture of the prevalence of chronicpain after surgery, a picture that has not changed since the firstreports almost 2 decades ago. Ongoing improvements in thelight of more recent clinical studies are a new more accuratedefinition of CPSP and the inclusion of CPSP in the future versionof the ICD-11 (by theWHO and an IASP task force). The inclusionof CPSP in the ICD-11 is expected to increase recognition of theproblem and further promote research in the field. The year 2017represents IASP’s Global Year Against Pain After Surgery, whichwill help to attract the attention of caregivers, patients, and theirrelatives. As stated above, chronic postsurgical pain resultsfrom pain amplification and emotional distress. Although the riskfactors are well known, they do not allow clinicians to identifypatients at very high risk or to provide effective preventivetreatments. Future challenges include the optimization ofpredictive tools. Screening of new populations includingpediatric patients, the use of pain trajectories includingobservation of patients during the subacute pain period, andthe implementation of transitional pain units as part of

perioperative medicine are exciting projects that should helpcaregivers to find a better approach to the transition from acuteto chronic postoperative pain.

Conflict of interest statement

The author has no conflicts of interest to declare.

Article history:Received 21 October 2016Received in revised form 9 December 2016Accepted 12 December 2016Available online 25 January 2017

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Biennial Review of Pain

Innovative treatments for back painG. Lorimer Moseley

1. Introduction and what this review is not

Innovation is the introduction or use of new ideas ormethods.63 “Innovative” research is that which asks a novelquestion or seeks to answer an old question in a new way orusing a new technique. We have long known that innovation isneither easy nor necessarily welcomed—“Our wretchedspecies is so made that those who walk on the well-troddenpath always throw stones at those who are showing a new

road.”115 In health care, innovation is one phase in a continualcycle of innovation–testing–dissemination–practice.

To review innovative treatments of back pain, we must firstdetermine the need for such innovation. This is an importantmatter—sooner or later innovation will be needed at other stagesof the cycle–innovative methods of dissemination,4 promotion19

or participant recruitment,55 innovative approaches to qualitycontrol or clinician adherence. In such cases, the treatment maybe excellent and the focus of innovation shifts to optimising theimpact of the treatment on public health.

Do we still have a problem with back pain? The 1990 GlobalBurden of Disease study sought to quantify the burden of nonfatalhealth outcomes, using a metric that captured years of life livedwith “less than ideal health,” termed “years of life lived withdisability” (YLD).91 That study identified low back pain as the singlemost burdensome nonfatal condition globally, and one of the 4most burdensomenonfatal conditions in every country or region forwhich data were available. This startling discovery presumablytriggered industry and government support to solve what wasclearly a massive public health problem. The 2011 Global Burdenof Disease study may have been expected to illuminate the gainsthat had been made over the previous 20 years. Unfortunately,however, low back pain remained the most burdensome nonfatalcondition, by a larger margin than it was 20 years earlier,accounting for 11% of the total YLD (83 million YLD). Low backpain, affecting 1 in 10 people, was 6 times as prevalent as anginaand twice as prevalent as depression.116 The 2015 updatecategorized back and neck pain together, but showed little or nochange in prevalence or burden.

This disappointing situation is not for want of trying. There aremany treatments already available. Treatment approaches haveoften been based on the work of a particularly prominent orcharismatic clinician (or perhaps entrepreneur). In physiotherapy

for example, such approaches have tended to be named afterthe “guru” who developed them–for example the Maitland,69

McKenzie,74 or Mulligan42 approaches. Other treatments havebeen developed on the basis of empirical research that identifiedbehavioural differences between those who have back pain andthose who do not–for example “motor control” approaches.111

Although such treatments are often innovative, almost withoutexception they are vigorously promoted and widely adopted,sometimes to the extent of institutes and even notional“universities” dedicated to their promotion, before their clinicaleffects are tested with scientific methods. Such treatmentsoccasionally have sensible theoretical justification, but theirproponents are often too conflicted to test them with anyrigour. This is not to say “nothing is effective,” but to highlightthat innovative treatments for back pain do exist, but popularityor unsubstantiated claims of their inventors or proponents,were not considered worthwhile reasons for inclusion in thisreview.

This is also not a review of “effective treatments for back pain.”If one were to review “effective” treatments for back pain, thepicture would be rather large but perhaps somewhat under-whelming. There is now amassive body of randomized controlledtrials (RCTs), systematic reviews, and meta-analyses on treat-ments for back pain.49,101,113,114 As noted, review of thatliterature is outside the scope of this article, but the generalpicture is critically relevant–treatments that do exist, regardless ofthe discipline that offers them and regardless of their provenance,offer on average a small benefit or no benefit at all, aside from thenonspecific effects of treatment. The current state of play formany treatments is reflectedwell in a recent Cochrane systematicreview of psychological therapies for chronic pain,124 recom-mending immediate cessation of RCTs of cognitive behaviouraltherapy (CBT) because the evidence of weak to moderate effectsis very unlikely to change as a result. Importantly, this does notmean these treatments are useless–denying patients access tomildly effective treatments would seem unjustifiable—it meansthat if we are to really reduce the burden of back pain, innovativetreatments are still required.

2. Innovative treatments for primary nociceptivecontributions to back pain

Conventionally and perhaps unsurprisingly, most treatments forback pain have targeted a primary nociceptive “source” of thepain (Fig. 1). Surgeons focus on removing (eg, a discectomy1),anaesthetising (eg, a facet joint block112), or denervating (eg,lumbar rhizotomy23) a particular tissue; physiotherapists mightfocus on strengthening muscles of the trunk,99 altering bio-mechanics (eg, the McKenzie method102), or motor controlstrategy46; psychologists might focus on biofeedback or re-laxation to reduce unwanted trunk muscle tension.20 Oneapproach that has only recently been applied to back pain isregenerative medicine.

Sponsorships or competing interests that may be relevant to content are disclosed

at the end of this article.

Sansom Institute for Health Research, The University of South Australia, Adelaide,

South Australia, Australia

Address: Sansom Institute for Health Research, The University of South Australia,

GPO Box 2473, Adelaide, South Australia 5001, Australia. Tel.: 161 8 83022454.

E-mail address: [email protected] (G. L. Moseley).

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This approach aims to regenerate the intervertebral disk (IVD) byinjecting stem cells, IVD progenitor stem cells, IVD progenitor cells,or transplanted chondrocytes or IVD cells (or alternatively shock-absorbing artificial polymers100) into the IVD. The animal studiesseemed promising: delayed degeneration when compared withplacebo93; positive impact on inflammatory profile77; evidence ofregeneration of the nucleus pulposus.123 Five observationalstudies, involving people with back pain, usually with imagingevidence of disk degeneration (or ageing) (total n 5139),39,75,76,94,125 have also been positive–4 of the 5 reportsymptomatic improvements. Industry jumped on this innovation:between 2013 and 2014, at least 6 industry-sponsored RCTswere registered at ClinicalTrials.gov alone (NCT0177471;NCT01290367; NCT01860417; NCT01640457; NCT01643681;NCT02097862). Interestingly, and perhaps disappointingly, 1 hasalready been terminated (NCT01771471), 2 have stopped recruit-ing (NCT01860417; NCT01640457), and 1 has not been updatedsince March 2014 (NCT01643681).

Another approach to disk pathology that has attracted someattention is that of antibiotic therapy.2,3 The approach is based onthe idea that bacteria enter the bloodstream during teethbrushingand end up infecting the IVD, causing damage and nociception.The indication of such an infection is proposed to be modic signson scans, a finding that is reported in approximately 8% ofasymptomatic people and 40% of people with back pain.126 Apromising pilot study2 was followed up by an RCT3 that reportedlarge effects on disability, back pain, and leg pain. As noted in theBritish Medical Journal—“the media went crazy”73 about thisRCT, perhaps because of careless public relations and non-declaration of interests by the research group, but also, maybe,because it really did represent a new way of approaching an oldproblem. There is no doubt that 100 days of antibiotics would beeasier than regular exercise, surgery, or injections. Perhaps

however, things were not as they seemed. For example, therewas no effect in the placebo group; the study report wasinconsistent with the trial registry report; if teethbrushing was thebacterial entry pathway, the risk of recurrence would presumablybe quite high.56 It is perhaps unsurprising that the study attractedthorough critique in the peer-reviewed literature56 and theblogosphere.92 A subsequent open trial by a separate researchgroup failed to replicate an effect95 and, even if we were topresume that things were as they were reported to be, theimplications of placing up to 40% of patients with back pain ona 3-month course of antibiotics, with no ongoing protectionagainst reinfection, and in an increasingly antibiotic resistantworld, are by no means trivial. One more registered RCT(2013-004505-14) is ongoing.

The final “diskocentric” approach to emerge in the last decadeis that of injecting methylene blue into the IVD.96,97 Methyleneblue is thought to have a neuroablative or possibly antiinflam-matory effect through its action on nitric oxide.36,44 Itsapplication to back pain was outrageously successful. Targetingpeople with low back pain considered diskogenic on the basisof diskography results, a pilot trial97 was followed by an RCT,96

with the treated group showing a drop in mean pain ratings from70/100 to 20/100 and a similar drop in disability. Bogduk’seditorial on the study rightly described the results as out-standing, unprecedented, and unrivalled11 (although the in-novative approach of wearing woolen underwear for back pain53

reported similar remarkable results–in the words of MarcelloTruzzi—“extraordinary claims require extraordinary proof”).Bogduk urged the field to prioritise replication of the methyleneblue study. One observational study seemed positive, althoughnot so magnificently as the original trial.48 An RCT has beenregistered34 and is ongoing; another has failed to show any long-term effects.52

Figure 1. Innovative treatments for back pain that target the intervertebral disk. IVD, intervertebral disk; RCT, randomised clinical trial.

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3. The elephant in the room: the disconnect betweenstructural imperfections and pain

Bettermethodsof treating specific structures in the back are clearlywelcomed; however, their usefulness is currently limited by theclear disconnect between back pain and evidence of structuralpathology. Although imaging findings are more prevalent in thosewith chronic back pain than in those without,16 2 in every 3asymptomatic 40-year olds have signs of disk degeneration; 1 in 5of facet joint degeneration and 1 in 10 of spondylolisthesis.17

Although longitudinal data that track imaging findings alongside thedevelopment and resolution of backpainwould seemacrucial nextstep, the commonality of positive findings in asymptomaticindividuals and thedifficulty of properly diagnosing agiven structureas causing someone’s back pain cast a long shadow when itcomes to identifying effective treatments directed at a specificspinal tissue pathology. This does not mean tissue-basedproblems are irrelevant for our consideration of back pain, nordoes it mean that diagnostics are totally useless. However, it doesstrongly compel us to critically review the role of imaging findings inan individual’s pain experience.

One innovative way around this problem may be to matchtreatments to patients on the basis of their clinical presentationrather than on the basis of their imaging. Such an approach relieson accurate screening to direct patients to “their” most beneficialpathway. There have been several tools developed for thispurpose (eg, the StartBack tool)40 and some studies seempromising, particularly for minimising inappropriate or excessivetreatment for those who would have recovered anyway.33,41

However, a recent systematic review casts significant doubt overthe accuracy of these tools—all seem poor at delineating patientswho will develop chronic pain from those who will not.50 Thisresult is perhaps not surprising to those who have been critical ofpredictive screening tools both in the peer-reviewed literature38

and the blogosphere (see the provocatively title R.I.P. PrescriptiveClinical Prediction Rules25 for one such account).

The troubling disconnect between evidence of structuralpathology and back pain, and the underwhelming results ofattempts to match patients to treatment pathways based on theirclinical presentation, encapsulate a difficulty that permeates acrossclinical pain conditions—that of the “fearful and wonderful complex-ity of pain.”82 This challenge is prime for those looking for newanalgesics—“the greatest translational barrier lies in the distinctionbetween nociception and pain”12—and may underpin the persis-tence in clinical settings of ineffective but not risk-free treatments,even after RCTs show those treatments to offer no benefit beyondtheir nonspecific effects. Moreover, it is possible that some of thesetreatments are given to patients who should be categorized ina fourth group—those who would have recovered if we had nottreated them. This latter possibility is sufficiently pertinent to foster theidea that a highly innovative approach to back painmight be to “stopproviding ineffective and unnecessary care for back pain, particularlycare that is also expensive, invasive, or potentially harmful (Maher C,personal communication, September 2016).”

4. Shifting sights: innovative approaches to changesin cortical bodily representations

The brain holds multiple bodily and spatial “maps”—multisensoryneural networks that subserve the regulation and protection of thebody and the space around it, networks that have been collectivelytermed “the cortical bodymatrix”.84 The last decadehas seen rapidprogress in our understanding of the relationship between chronicpain and disruptions of these bodily representations (for reviews

see Refs. 71,83,84,121). Regarding back pain, disrupted repre-sentations have been observed in the motor,14,15,109 tac-tile,22,57,60,81 and spatial79,81,120 domains. Broadly speaking,these deficits reflect a loss of precision, as evidenced in alteredfunctional imaging data and altered performance in behaviouraltasks involving the back. For example, patients are unable tovoluntarily move their back without also moving their pelvis, theycannot differentiate 2 separate tactile stimuli unless they are a longway apart,60 and they process stimuli delivered to the affected sideof the body midline more slowly than identical stimuli delivered tothe healthy side, even when the stimuli are delivered to the handsheld near the back, rather than to the back itself.79

The imprecision that characterizes these disruptions of corticalrepresentation can be understood in terms of flattening of“activation probability gradients”78 or reduction in the differencein probability density function of adjacent neurone-to-neuroneconnections.98 That such changesmight be driven by local brain-bound inflammatory mechanisms was mooted some time ago,6

seems supported by the growing evidence of neuroimmunemediators of chronic pain,35 but remains to be clearly demon-strated. Nonetheless, progress in our understanding of themultisensory mechanisms that underpin bodily representationshas revealed potential pathways by which precision might bereinstated in people with back pain. Those pathways fall into 2broad innovations—sensory discrimination training and multi-sensory augmentation (Fig. 2).

Sensory discrimination training was first developed for thetreatment of phantom limb pain in amputees,31 on the basis ofa very strong relationship between phantom limb pain (but notnonpainful phantom limb feelings) and reorganization of theprimary sensory cortex (S1).32 Sensory discrimination traininginvolved a range of different stimuli being delivered to the stumpand the patient discriminating between them on the basis oflocation and quality of the tactile input.31 Patients showedcorrelated improvement in pain and normalization of corticalresponses to tactile stimuli delivered to the face—an area adjacentin primary sensory cortex to the hand. Discovery of corticalreorganization in people with complex regional pain syndrome68—although see Refs. 26,27 for critical clarifications of the initialdata—led to an initial investigation of tactile discrimination trainingin that group, with preliminary data appearing promising.89 S1reorganization is also present in people with back pain.30 Tactilediscrimination training has been attempted as a stand-alonetreatment for back pain7,119. A recent systematic review showedthat most trials show reductions of pain that are statisticallysignificant, suggesting it might be useful as part of multimodalintervention in appropriate patients. The effects seem too smallhowever, to expect clinically meaningful improvement from tactilediscrimination training as a stand-alone treatment.47

Targeting imprecise motor representations was developed asa treatment on the basis of a different theoretical rationale to thatpresented here. We have now learnt that specific contraction ofparticular muscles, most often the lumbar multifidus or thetransversus abdominis, partially normalizes primary motor cortex(M1) disorganization in people with back pain,110 as well as theabnormal activation of thesemuscles during postural tasks.108 Thesymptomatic effects of motor precision training as a stand-alonetreatment seem to be superior to those of minimal or no treatmentand similar to those offered by manual therapy62 or generalexercise.61

Themost parsimonious interpretation of the small but consistenteffects of discrimination training is that imprecise motor or tactilerepresentations are not major contributors to back pain. However,an alternative explanation that should trigger further innovations is

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that people with back pain often present with imprecision inmultiple bodily representations (eg, tactile and motor60; tactile andspatial81; see Ref. 103 for similar evidence in osteoarthritic kneepain104). It might be sensible then to target multiple bodyrepresentations in treatment. This idea has been integrated intoan RCT currently underway in our research group.5

Relevant here is the recent proposal that imprecise corticalrepresentations of nonnociceptive bodily and external stimulimay lead to chronic pain through overgeneralization of pro-tective responses.88 Experimental interrogation of the theoret-ical bases of that proposal seems supportive37,64,65 (but seealso Ref. 67 for an alternative finding) although it remains to befully interrogated. Nonetheless, it may be that imprecise corticalrepresentations play a role in the development of chronic backpain, a possibility that would lead to evaluation of thesediscrimination tasks as preventive strategies as well astreatments.

Multisensory integration approaches to back pain area more recent innovation and, as such, findings are verypreliminary. Suffice here to draw on established findings thatprecision of motor, tactile, and spatial performance isenhanced in healthy volunteers, when multiple sensorychannels are exploited. This phenomenon draws on thebrain’s predilection to associate synchronous sensory inputswith the same stimulus, a property that can be exploited toevoke incredible experiences. For example, simultaneoustactile and visual input can induce the experience that one’shand has been “replaced” by an artificial counterpart—the so-called “rubber hand illusion”13 (which has a clear limb-specificimpact on regulation of blood flow86 and histamine reactivity9

in the “replaced” hand); simultaneous proprioceptive andtactile input can induce the feeling that one’s nose is growing,or that one’s hand is travelling through one’s skull.54 We have

everyday experiences of exploiting multisensory performance,for example, by watching our own body as we try to perfecta movement. In fact, vision is a highly precise sensory channel,which makes it very influential in determining higher-orderoutputs such as the feeling of touch29,52,105 or our ability tolocalize a body part in space.10

Attempts to use visual input to reinstate normal precision ofbodily representations in back pain are in their infancy but,again, early results seem promising. For example, in a random-ized controlled crossover experiment,122 patients performeda series of movements with their shirt removed, under 2conditions: (1) visual enhancement in which 2 large mobilemirrors—one behind and one in front of the patient—gave thepatient real-time visual feedback of their back as they performedthe movements; (2) control in which the mirror in front of thepatient was coveredwith paper so as to remove visual input. Thevisual enhancement condition was associated with less post-movement pain intensity (mean [95% confidence interval] 536 mm22) on a 100 mm scale, as compared to the control(45 mm25), and shorter time to ease (46 seconds53) ascompared to the control (95 seconds80). In a separaterandomized crossover experiment,28 noxious stimuli weredelivered to the back of patients with back pain and healthyvolunteers. They found small reductions in pain intensity whenpatients could see their back in real time than when they couldnot, a finding that is consistent with experimentally induced armpain in healthy volunteers.58 Interesting, when patients withback pain received magnified visual input of their back duringnoxious stimulation, the benefit was lost.28 This seemsconsistent with the pain-amplifying effect of magnified visualinput of the arm during painful arm movements in people withcomplex regional pain syndrome,87 although the effects ofvisual input on pain in healthy volunteers are less clear.70,106

Figure 2. Innovative treatments for back pain that target disrupted cortical bodily representations. CBT, cognitive behavioural therapy; RC Exp, randomisedcontrolled experiment; RCT, randomised controlled trial; SR, systematic review.

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5. Theory-driven enhancement of one treatmentby another

The underwhelming evidence with respect to tried and truetreatments for back pain suggests that it might be prudent to stoptesting these treatments and instead look for new ways theireffect might be enhanced by augmenting them with otherinterventions (Fig. 3). Several research teams have takena theory-driven approach to this idea. One particularly innovativeexample is that of cannabis-enhanced extinction training (Flor,PhD, October 2016, unpublished data). This idea was driven bystrong evidence that the cannabinoid receptor plays a major rolein extinction of aversive memories.72 In a randomized, double-blind, placebo-controlled trial that compared extinction trainingplus placebo to extinction training plus cannabis (THC9), thecombination of extinction training and cannabis had a clinicallyimportant benefit in pain intensity and interference.

Other theory-driven approaches look to augment the effect ofCBT, by example, augmenting a CBT programme with preprog-ramme explaining pain. Explaining pain refers to a range ofstrategies that use conceptual change and instructional designtheory to change the patient’s own conceptualization of thebiological cause of their pain.78,82 Explaining pain is different fromconventional education approaches, which have been used asthe control treatment in RCTs of explaining pain80,85,90 (see Ref.82 for an account of key differences in material and delivery). Theidea of preceding CBT with explaining pain was driven by theobservation that CBT relies on taking a truly biopsychosocialapproach to pain—encouraging activity despite pain, but such anapproachmakes no sense if pain is believed to reflect nociceptionor damage. The initial pilot RCT showed a clear advantage ofexplaining pain, and the effect emerged 6 months after theintervention started and increased at 12month follow-up. A largerRCT interrogating the usefulness of a modified version of thisapproach—explaining pain and cognitive reassurance—to im-prove recovery after an acute episode of back pain (thus reducingthe development of chronicity) is currently underway.107 Furtherinnovation in this line of research is leading to the use of hypnotic

suggestion to further enhance the effects of explaining pain.There is a clear and solid theoretical basis for this proposition andpreliminary data show that hypnosis enhances the effects ofcognitive therapy,43 which suggests that further exploration ofthis idea is warranted. Pilot trials are currently underway.

Some caveats and recommendations are appropriate here.There is no doubt that innovative treatments are emerging andpreliminary results seem promising. However, this has been thecase for many treatments across all of health care and many haveturned out to be useless when they are tested in large definitivetrials. This reality highlights the need to prioritise evaluation of a newtreatment with empirical methods over promoting it on the basis ofits promise. It also points to an important aspect of transparencyand replication that is still to bewidely endorsed in our field—that ofregistering and locking study protocols before undertaking thestudy, a practice that might well be applied to pilot studies ofinnovative treatments, not just major clinical trials. Anotherdevelopment that has the potential to be a truly innovativecontribution is that of developing an effective mechanism withwhich to obtain an early reliable signal of the likely benefit of a newtreatment. The disappointment of treatments not living up to theirpromise and the difficulty of winding back popular ineffectivetreatments might thus be avoided. Finally, the possibility remainsthat some of these innovative treatment approaches are of morebenefit to patients than we think they are. That is, a furtherinnovation may be to expand the patient voice in the selection ofresearch methods and outcome variables—we may well discoverthat patients find these treatments to be of greater benefit than ourcurrent outcomes suggest.

6. Mass conceptual change

Wehave long known that pain is not ameasure of tissue state, noreven of nociceptor activity.117,118 Although the endorsement ofthis idea has greatly increased among clinicians,66 the oldconceptualization understandably remains common among thegeneral public. This is very important for the management of painbecause pain is critically dependent onwhat one thinks is causing

Figure 3. Theory-driven enhancement of one treatment by another. RCT, randomised controlled trial; levels of evidence: Level 1a—several meta-analysesshowing consistent effects; Level 1b—a few meta-analyses showing consistent effects; Level 2a several RCTs and a systematic review.

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it (see Ref. 20 for one lay-friendly account). It follows then, that wemay stand to make significant inroads into the massive burdenincurred by back pain by helping the general public change whatthey think pain actually is.

There is precedent for taking a mass conceptual changeapproach to treating back pain. A multimillion dollar mass mediacampaign was undertaken in one state of Australia between 1997and 1999. The campaign aimed to shift public attitudes aboutwhat to do when you experience back pain, centred around theslogan “back pain: don’t take it lying down.” The campaigninvolved television advertisements for the first 12 months andthen again for the final 3 months of the 3-year period. The primaryoutcomes were the targeted attitudes and metrics associatedwith the costs of workers’ compensation claims for back pain.Attitudes were measurably different from those of a neighbouring“control” state, and therewere clear shifts in all the outcomes overthe course of the campaign. Similar campaigns run in othercountries were less successful, potentially because they did notinvolve television (2 of 3 campaigns), invested less money in thecampaign (2 and perhaps 3—the cost of one campaign remainsunknown), or both.18 Alternatively, perhaps the effectiveness ofsuch a campaign in one jurisdiction and context simply does notgeneralize to another.

A final possibility and perhaps a pointer to the innovative nextstep regarding mass conceptual change may well relate to thenature of the targeted conceptual change. Much has changed inthe last 2 decades about our understanding of pain biology andthe effects of teaching patients about it. It may well be time to takean establishedmethod ofmass conceptual change and apply it toa new target. Considering the rapid and sustained positive effectson pain of explaining pain biology to people already experiencingback pain,24,59,82 onemight predict that “pre-emptive” explainingpain biology might have a protective effect against poor recoveryfrom an acute episode of back pain. Other things have changed inthe last 16 years—perhaps a mass conceptual change strategyshould now integrate social media and web-based mechanismsin addition to, or even instead of, conventional mass mediachannels such as television, radio, and newspapers.

7. Perhaps the grandest innovation of all—taking on“the difficult problem”

We recently proposed that chronic pain in general, and chronicback pain in particular, can rightly be considered “the difficultproblem” in health care.8 Not only are there complex biological,psychological, and social contributors to one’s back pain, thereare also complex societal factors that may in fact be maintainingthe prevalence and burden of the condition. There are powerfulstakeholders in the problem of back pain and their influences arereadily visible in the clinical journeys that patients take, thetreatments they seek, the stigma they experience, and thedifficulty they might face in accessing evidence-based care.These are potentially powerful factors, full review of which isbeyond the scope of this article (see Ref. 8 for more thoroughcoverage of the complex politics of chronic pain). In some ways,the politics of back pain are similar to our emerging picture of backpain itself—powerful and complex protective mechanisms formaintaining the equilibrium of the body (politic) have becomemaladaptive and self-defeating.8

It is not unreasonable to suggest that the most innovativetreatment for back pain would involve taking on these complexsocietal and cultural influences. To do so would requirea magnitude of innovation, collaboration, and commitmentgreater perhaps than we can currently envisage. It may also

require courage—after all, most of us are excited about change ifit is about changing other people but rather turned off by change ifit is about changing ourselves, and most of us are sustained insome way by the fact that we have not yet solved the problem ofback pain.

8. Summary

Innovative treatments for back pain are emerging from severalsectors of our community. Regenerative medicine may end upoffering effective methods to help those for whom their back painreflects a primary nociceptive “driver” in pathological tissue. Betterunderstanding of abnormal brain functions may yet lead toinnovative and effective treatments that target normalization ofthose abnormal functions. Clever combinations of different treat-ments to exploit biological mechanisms that underpin them mayyet yield “superadditive” effects that get patients excited about theirimpact. Perhaps, we should channel our imagination and creativitytoward innovation in helping people to change how they thinkabout pain before they sustain an acute episode of back pain.Alternatively, perhaps innovative strategies to change societaldrivers of back pain will completely revolutionise how people withback pain are treated. Only the future will shed light on thesematters. In the meantime, 3 important issues are already clear.

First, we clearly need innovation—the problem of back pain ismore massive now than it was 20 years ago. Second, we shouldencourage innovation by nurturing connections, creating net-works of clinicians and scientists, both basic and clinical, fromacross disciplines, cultures, and professions, and critically, thismultifaceted network must be closely connected with patients—as Steven Johnson, author of “Where good ideas come from: The

natural history of innovation,”45 noted—“it is not the wisdom ofthe crowd, but thewisdomof someone in the crowd. The networkitself is not smart, but individuals get smarter if they are connectedto the network.” Finally, we should not throw stones at thoseshowing a new road, but, equally, those showing a new roadshould not promote it until scientific studies show it to be good.

Conflict of interest statement

The author has received support from Pfizer, Kaiser Permanente,USA; Workers’ Compensation Boards in Australia, NorthAmerica, and Europe; Agile Physiotherapy, USA; ResultsPhysiotherapy, USA; the International Olympic Committee; andthe Port Adelaide Football Club, Australia. He receives royaltiesfor books on pain and rehabilitation, including two books that arecited in this article. He receives speaker fees for lectures on painand rehabilitation.

The author is supported by a Principal Research Fellowshipfrom the National Health &Medical Research Council of Australia.

Acknowledgements

The author acknowledges very helpful suggestions and reviews inthe preparation of the plenary lecture on which this article wasbased, from Dr Neil O’Connell, Brunel University, UnitedKingdom; Prof Benedict Wand, The University of Notre DameAustralia, Fremantle, Australia; Prof Herta Flor, HeidelbergUniversity, Germany; Prof Chris Maher, University of Sydney,Australia; Emma Karran, University of South Australia, Australia;Prof Frank Keefe, Duke University, USA; Prof Marshall Devor,Hebrew University of Jerusalem, Israel; Dr Tasha Stanton,University of South Australia, Australia. The author alsoacknowledges Dr Valeria Bellan, Dr Carolyn Berryman, and

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Simon Kirkegaard, of the University of South Australia, forassistance preparing this article.

Article history:Received 28 October 2016Received in revised form 9 November 2016Accepted 14 November 2016Available online 21 November 2016

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Research Paper

Day-to-day experience in resolution of painafter surgeryTimothy T. Houlea, Scott Millerb, Jason E. Langc, Jessica L. Boothb, Regina S. Curryb, Lynnette Harrisb,Carol A. Aschenbrennerb, James C. Eisenachb,*

AbstractWe know little about the individual pain experience of patients recovering from surgery in the first weeks after hospital discharge.Here, we examine individual differences in the day-to-day experience after 2major surgeries: lower limb total major joint arthroplasty(TJA) and cesarean delivery (CD). Fifty-five TJA patients and 157 CD patients were recruited to complete questionnaires and recordtheir daily pain experiences after surgery. After hospital discharge, patients recorded their pain intensity once daily for 60 days (CD) ortwice daily for 2 weeks, once daily for 2 weeks, weekly for 8 weeks, andmonthly for 3months (TJA). Pain scores weremodeled usinggrowth curve and Bayesian change-point models. Individual differences in the model fits were examined for evidence of day-to-daydifferences in pain. A log time model was the simplest model that fit the data, but examination of the residuals revealed highautocorrelation representing misspecification. A change-point model fit the data better and revealed that the form of recoveryfundamentally changed between days 10 and 21 after surgery. These data add meaningfully to our understanding of recovery frompain after surgery by extending the period of frequent observations a few days after surgery to a 2-month period. These high timeresolution data suggest that there is a typical experience of pain resolution after surgery, but that meaningful subpopulations ofexperience may exist. They also indicate that a transition occurs within 1 month after surgery from 1 pattern of change in pain overtime to another.

Keywords: Growth curve modeling, Postoperative pain, Recovery, Trajectory, Orthopedics, Obstetrics

1. Introduction

Chronic pain after surgery is a major health problem,9,17 yetresearch on its causes and predictors is hindered by our lack ofknowledge of how pain usually resolves. Many rules of thumb arecommonly communicated to patients (eg, “the pain will start tosubside after 3 days”), but little is known about a typical painexperience after surgery and the variability around this typicalexperience. To examine the pain experience after surgery, weused a statistical technique called growth curve modeling.

Growth curve modeling has been previously applied todescribe patterns of recovery over weeks in patients with acutelow back pain5 and over days in hospitalizedmedical and surgicalpatients.10 Patterns of pain resolution in the first 5 to 6postoperative days have been described and correlated withpersistent pain months later,1,4,14 yet the few studies which havemodeled these patterns have been restricted to short periods (2weeks)3 or included paucity (#6) measures.11,13,15,16 The loneexception is a study of 32 subjects who contributed 16observations over 6 weeks after surgery, but modeling was not

applied.7 In this study, we examined a large group of patientsrecovering after surgery for an extended period of time.

To more precisely measure pain resolution after surgery, painmust be measured frequently immediately after surgery andcontinue for at least the time when most individuals reportcomplete resolution. These assessments can be quite burden-some given that many patients report high levels of painimmediately after surgery, a distracting state that might reduceadherence to data collection procedures. If a common painresolution model could be found, individuals whose pain resolvesat the upper or lower bounds of this model could be identified aseither being at high risk of chronic pain or alternatively amongthose whose pain resolves far quicker than normal; in either case,such identification could better target interventions. It is unclear,however, whether pain after surgery resolves according toa single typical trajectory (with some variability around thistrajectory), or is better characterized as consisting of severaldifferent patterns of trajectories (ie, subpopulations), each withtheir own unique variability. Thus, understanding the bestapproach to model change in pain after surgery is an importantstep from both research and translational standpoints.

Our primary aimwas to examine these 3methodological issues.As such, we tested the feasibility of measuring pain intensity inpatients after major surgery on a daily basis for prolonged periodsafter discharge, examined several different statistical models in thesearch for a common pain resolution model and examined subtledeviations in the calibrations of thebest fitting pain resolutionmodelas initial evidence for different subpopulations of individuals’resolution of pain after surgery. We hypothesized that collectingthis data is feasible with only modest levels of missing data, andthat a commonmodel form could be found to characterize the timecourse in reduction of pain after surgery.

Sponsorships or competing interests that may be relevant to content are disclosed

at the end of this article.

a Department of Anesthesiology, Critical Care, and Pain Medicine, Massachusetts

General Hospital, Boston, MA, USA, Departments of b Anesthesiology and,c Orthopaedics, Wake Forest School of Medicine, Winston-Salem, NC, USA

*Corresponding author. Address:Department of Anesthesiology,Wake Forest School

ofMedicine,Medical Center Blvd,Winston-Salem,NC27157-1009, USA. Tel.: (336)-

716-4182; fax: (336) 716-0288. E-mail address: [email protected] (J.C.

Eisenach).

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2. Methods

To address the study’s aims, we examine individual differences inthe day-to-day experience during the resolution of pain after 2major surgeries: lower limb total major joint arthroplasty (TJA) andcesarean delivery (CD). These 2 groups of participants werecollected sequentially as part of our ongoing research programexamining pain resolution after surgery, but none of the datareported in this manuscript have been published elsewhere. Eachsurgical population is described below.

2.1. Lower limb total major joint arthroplasty

After institutional review board approval, adult patients (AmericanSociety of Anesthesiologists physical status 1, 2, or 3) undergoingelective TJA (unicompartmental or total knee replacement or hipreplacement) were recruited from a single center (Wake ForestUniversity Health Sciences) into this observational study. Weexcluded patients who did not understand English and pregnantwomen or thosewithin 1 year of childbirth. The trial was registeredbefore enrollment of the first subject (NCT01390298). Thepurpose of the study was explained, questions were answered,and all patients gave written informed consent. Demographics,medical history, indication for surgery, and current joint functionwere recorded. Many questionnaires were completed 1 to 6weeks before surgery but are not considered here (please see thetrial registration for a complete list).

All surgical procedures occurred at Wake Forest UniversityHealth Sciences, and all patients were followed postoperativelyby the members of the Department of Orthopaedics and theRegional Anesthesia and Acute Pain Service of the Department ofAnesthesiology. Surgical, anesthetic, and postoperative analge-sic care was routine and not used in any of the statistical modelsfor this observational study.

Beginning on the day of discharge, patients completed theShort Form McGill Pain Questionnaire,12 a visual analog scale(VAS) for pain intensity (10-cm line anchored on the left with notpainful at all and on the right with most pain imaginable; separatescores for current, withmovement, andmost intense in the last 24hours), and Stress Inventory2 twice a day for 14 days after hospitaldischarge and daily at the end of the day for the following 2weeks.The SF-MPQ and VAS were then collected weekly until 12 weeksafter discharge and then monthly until 6 months after discharge.The SF-MPQ, VAS, and Stress Inventory were completed inapproximately 10 to 15 minutes.

Patients were allowed to choose between paper and pencildiaries or an electronic diary, using a small hand-held device thathad been programmed to query these outcomes using Pen-dragon Forms VI (Pendragon Software, Corp, Chicago, IL).Patients were introduced before surgery to the diary and thetouch screen, and then allowed time to make several practiceentries. They were also asked to make a diary entry witha predetermined set of responses to ensure that they understoodthe diary system.

2.2. Cesarean section

After institutional review board approval, adult patients (AmericanSociety of Anesthesiologists physical status 1, 2, or 3) undergoingnonemergent CD were recruited from a single center (MayaAngelou Women’s Center) into this observational study. Weexcluded patients who did not understand English. The trial wasregistered before enrollment of the first subject (NCT01996592).The purpose of the study was explained, questions wereanswered, and all patients gave written informed consent.

Demographics, medical history, and indication for surgery wererecorded. Many questionnaires were completed 1 to 5 daysbefore surgery but are not considered here (please see the trialregistration for a complete list).

All surgical procedures occurred at the Maya AngelouWomen’s Health Center, and all patients were followed post-operatively by the members of the Department of Obstetrics andGynecology and the Section on Obstetric Anesthesia of theDepartment of Anesthesiology, Wake Forest Health Sciences.Surgical, anesthetic, and postoperative analgesic care wasroutine and not used in any of the statistical models for thisobservational study. Unless contraindicated or refused by theparturient, patients typically receive subarachnoid anesthesiawith intrathecal hyperbaric bupivacaine 10 to 12 mg, 15 to 20 mgfentanyl, and preservative free morphine 150 to 200 mg.

Beginning on the day of discharge, patients completed a seriesof 7 questions through an online survey, paper and pencil forms,or SMS texting daily until 60 days after surgery. These questionswere as follows: What is today’s date? What is your pain intensityright now? What is your pain unpleasantness right now? Whatwas your worst pain in the past 24 hours? What was your worstpain unpleasantness in the past 24 hours? What was youraverage pain in the past 24 hours? What was your average painunpleasantness in the past 24 hours? Scores were numericalbetween 0 (not painful or unpleasant at all) and 10 (worst pain orunpleasantness imaginable).

2.3. Primary outcome

The TJA and CD studies were not coincident in time and usedminimalist (CD) or extensive (TJA) daily reporting. For the purposeof this analysis, we used a common metric in both studies, theworst pain in the previous 24 hours, as the measure to examinetrajectory of recovery from pain after surgery.

2.4. Sample size

Given the lack of previous knowledge regarding the daily timecourse of recovery from pain after discharge after theseprocedures, we requested a time period of up to 12 months torecruit the convenience sample for each of these 2 surgicalpopulations. Because the goals were to explore the nature of thetime course of recovery and the effect size of predictors of thistime course, formal hypothesis testing was not used to guidesample size estimation.

2.5. Statistical methods

Statistical analyses were conducted using R version 3.2 (RFoundation for Statistical Computing, Vienna, Austria) andRStudio version 0.98.501 (RStudio, Inc). Descriptive statisticswere calculated for all variables such that mean (SD) were usedfor normally distributed variables; median (range) for nonpara-metric data; and frequency (percentage) for count data. For allanalyses, 2-tailed hypothesis testing was used with P , 0.05interpreted for statistical significance.

A data-driven approach was used to explore the resolution ofpain that could be attributed to recovery in both CD and TJAcohorts. The daily worst VAS score was chosen as the primaryoutcome given that it was used in both groups for 60 days aftersurgery. Examination of the raw data suggested a curvilineardecline in pain for most individuals. Linear, quadratic, cubic, andlogarithmic curve fitting was explored based on the intuitive fit ofthese forms to the data. In addition, a Gompertz polynomial

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model was also fit based on the models used to describe thewound recovery rates of pressure ulcers.19 Linear mixed modelswere constructed with lme4 (Bates D, Maechler M, Bolker B,Walker S. lme4: linear mixed-effects models using Eigen and S4.R package version. 2014; 1). To fit the models, pain after surgeryfor each cohort was modeled separately with correlated randomeffects used for intercept and change parameters (ie, slopes)based on individual subjects.

To examine patterns in the residuals that could be indicative ofneglected change processes, the autocorrelation function of themodel residuals was examined for each subject during theprocess of determining the best model fit. The first-orderautocorrelation was plotted to characterize the pattern of errors.Because a high degree of autocorrelation remained in theresiduals even for models that fit the data well, an additionalmodel form was applied to characterize a multi-phased changeprocess. For these models, we applied Bayesian change-pointanalysis using MCMCpack (Martin AD, Quinn KM, Park JH.MCMCpack, Version 1.0-1. 2011). Full data and code areavailable on request.

3. Results

3.1. Participant characteristics and daily diaries

During December 2011 through July 2012, N 5 31 participantswho underwent TJA completed a diary during at least 1measurement occasion of the postoperative assessment period.During May 2013 through June 2014, N 5 155 CD participantscompleted a diary during at least 1 measurement occasion of thepostoperative assessment period. Figure 1 displays the dispo-sition of participants who began each study, dropped out for anyreason, and completed the assessment period. Table 1 displaysthe demographic and surgical characteristics of both samples.Orthopedic surgery participants were women (51.6%), white(83.9%), and African American (16.1%), had an average age of61.1 (10.6) andmean Center for Epidemiological Studies Scale ofDepression total score of 14.5 (10.9). Cesarean deliveryparticipants were all women, white (63%), and African American(31%), had an average age of 30.2 (7.0) and mean PROMISdepression total score of 11.2 (4.1).

There were missing data from the daily diaries. Total majorjoint arthroplasty participants each provided a median (range) of49 (18-51) diary entries (N5 1477), of which there were 2 entriesdaily from date of discharge through day 14 after surgery, thenonce daily for the next 14 days, whereas the remaining were

weekly and monthly assessments. Cesarean delivery partic-ipants each provided a median (range) of 57 (1-60) daily diaryentries (N 5 7612) once daily from date of discharge throughday 60 after surgery. Most participants in each surgicalpopulation (97% of TJA and 75% of CD patients) had 7 or fewerdays with missing entries over the 2-month period after surgery(Fig. 2).

The burden on support personnel and method of diary entrydiffered significantly by surgical population. For the CD group,over 90% of participants entered daily diary information throughSMS texting to study personnel. Up to 50 subjects were providingdaily diary information per day at the time of peak enrollment,requiring a minimum of 2 hours per day of study personnel time inreceiving and responding to text messages. A few subjectselected to use paper and pencil, but none returned the forms. Theremainder used a daily online survey with email remindersgenerated by REDCap electronic data capture tool hosted atWake Forest School of Medicine through theWake Forest Clinicaland Translational Science Institute (UL1 TR001420; PI: McClain)8

with more missing data than those using SMS texting.

Table 1

Demographic characteristics.

Lower extremity totalmajor joint arthroplasty(TJA) cohort (n 5 31)

Cesarean delivery (CD)cohort (n 5 155)

Age, y, mean (SD) 61.1 (10.6) 30.2 (7.0)

Sex, n (%)

Male 15 (48.4)

Female 16 (51.6) 155 (100)

Surgery type, n (%)

Knee 21 (67.7)

Hip 10 (32.3)

Race, n (%)

African American 5 (16.1) 47 (31)

White 26 (83.9) 98 (63)

Hispanic 0 (0) 8 (5)

Other 0 (0) 2 (1)

CESD total, mean (SD) 14.5 (10.9)

PROMIS depression total,

mean (SD)

11.22 (4.1)

PROMIS, Promise Health Organization Emotional Distress-Depression Short Form 8b (range [8-40]); CESD,

Center for Epidemiological Studies Scale of Depression Scale (range [0-60]).

Figure 1. Flow chart of participant disposition for both orthopedic and cesarean section cohorts.

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For the TJA group, all participants recorded daily diaryinformation through paper and pencil. Up to 19 subjects wereproviding daily diary information per day at the time of peakenrollment.

3.2. Model forms

Examination of the candidate model forms yielded 2 modelsthat best described the systematic changes in pain over timethat occurs after surgery. The first model predicted that painreports decreased as a function of the log of time (log(time))model. When estimated in these samples, the predictions fromthis model were monotonic in that the individual modelpredictions steadily decreased over time in the vast majorityof individuals (94% TJA and 100% CD) but in a few casesincreased over time (6% TJA and 0% CD). The second modelused a cubic polynomial function that predicted that painreports decreased as a function of the time, time2, and time3

(ie, cubic model). When estimated in these samples, thepredictions from this model reflected 2 inflection points inthe rate of recovery in direction of pain reporting (ie, changes inthe rate of change). Despite the fact that the cubic model usesmore parameters (ie, more information) to describe painreports, it was superior to the log(time) model in fitting thedata from the CD (22,278 (log(time)) vs 21,415 [cubic])patients, but not those undergoing TJA (BIC: 3417 (log(time))vs 4022 [cubic]). The residuals (ie, the lack of fit) from bothmodels were scrutinized and compared. We chose the log(time) form to model change in pain based on its simplicity (1change parameter vs 3), nearly identical fit with the morecomplicated cubic model, better expected performance at theextremes of the observation period, and ease of interpretationfor evaluating external influences on change in pain over time.

The individual model fits are presented in Figure 3A with theresiduals from these fits in Figure 3B. The model parameters forthe 2 samples were

TJA : Pain ¼ 7:73442 1:6013 ðlogðtimeÞÞ

CD : Pain ¼ 7:30232 1:8432 ðlogðtimeÞÞ

The random effects components (variance components)revealed that there is a substantial variation (SE) in intercepts(ie, discharge pain scores) across participants in both samples:TJA (s2 5 13.5 [3.7]), P , 0.001 and CD (s2 5 8.3 [1.0]), P ,0.001. These estimates reflect that participants report a range ofpain experiences after surgery. Furthermore, there is a substantialvariation in slopes (ie, change in pain) across participantsindicating that apparent change in pain rates vary widely acrossparticipants. Finally, there is a substantial association betweenintercepts and slopes in both samples: TJA (23.2 [1.0]), P 50.002 and CD (21.9 [0.3]), P, 0.001, indicating that higher painscores at discharge are associated with more rapid reductionsin pain.

3.3. Day-to-day pain experience during recovery

The log(time) model was themost parsimonious representation ofthe recovery process. However, further examination of how thismodel fit the observed data provides a wealth of informationabout the nature of the recovery process. We examined each ofthe residual series, the variance in pain scores after applying thelog(time) recovery model, for patterns that would reflect eithera lack of fit of the model or suggest some other underlyingprocess not encapsulated by the model. In so doing, we wereable to identify several issues with the model and to identifyseveral change patterns that are not well accounted for by themodel.

The residuals from the log(time) model contained substantialamounts of autocorrelation (Fig. 3C). When the current error (ie,residual) of a prediction is correlated with past values or pastpredictions, a pattern exists in the residuals that can bias theestimates of change. For example, Figure 4 displays individualexamples of several different patterns of change that all introducepatterns (autocorrelation) into the residuals. For ease ofcommunication we named the patterns, and close examinationcan identify where the errors become correlated. In the “fast”reduction in pain, the recovery model underestimates thereduction while attempting to accommodate the many “0” painreports later in the diary. In this case, the intercepts of the model(ie, pain at day 0) are biased low making the model predictions atfirst systematically low and then systematically high for the rest ofthe recovery period. In the pain “flare” pattern, for a short duration,pain intensity is strikingly enhanced, but then returns to itsprevious trajectory. In such cases, the model describes thereduction in pain very well for most of the recovery period, butsubstantially underestimates pain during the pain flare-up. In pain“state” change pattern, the recovery model describes the overallreduction in pain quite well, but close examination indicates thatthe pain reports are consistent from day-to-day but exhibita change in state from higher to lower only after several dayswithin the state (eg, a pain of “4” is experienced for 5 days, butthen resolves to a “3” for 4 days). In the final example, a “delayed”reduction in pain is observed when the pain remains stubbornlyhigh but quickly resolves at a later time. The log(time) model againprimarily underestimates the reduction in pain (especially mid-way through recovery) such that pain reports are predicted to belower than actual for much of the recovery process, but then

Figure 2. Distribution of days with missing data over the 60 days period afterhospital discharge in the 2 surgical populations (TJA in red 5 lower extremitytotal major joint arthroplasty; CD in blue5 cesarean delivery). Of note that thefrequency of diary entry differed between the groups, with 60 days with dataentry for the CD population and 32 days for the TJA population.

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substantially overestimates the pain after it has resolved. In eachof these examples, the pattern of change deviates from therelationship specified by a log(time) model. Thus, to properlyaccommodate the nature of change, we explored an additionalstrategy to improve fit.

3.4. Change-point models

A change-point model assumes that the nature of change (eg,either the level or slope of change) itself changes during theobservation period. Change-point models are often applied intime-series analyses when a model form abruptly changesbecause of any external reason. We applied these methods, asthey appear to be an intuitive fit for the nature of change aftersurgery or injury. In the recovery process, it is assumed that painresolves fully for most individuals, and that at some point anindividual experiences no pain due to the original injury. In suchcases, the point of complete recovery can be thought of asa change point in that the pain reports afterward are far differentthan that before recovery.

We allowed each participant to have from zero to 3 changepoints in their pain series, and fit a unique model optimizing thenumber and location of the change points. Figure 5 displays thebest fitting locations with the posterior probability of the changepoint occurring at a particular point in time (ie, the probability thatthe change process has changed at that point). Nearly allindividuals in both surgery types exhibited a change pattern,where a change-point fit the data better than assuming a singlemodel form. The location of the change point varied substantiallyacross individuals, but generally followed a normal distribution

with most individuals exhibiting a change point between day 10and 21 after surgery. Figure 3A (bottom panel) shows thepredicted values from a log(time) model with a change point.Figure 3B displays the superior fit of the change-point models tothe data (ie, the residuals are more condensed) and Figure 3Cdemonstrates that by incorporating a change point into themodel, the degree of autocorrelation in the residuals is sub-stantially reduced.

4. Discussion

In this study, we pursued several distinct aims. We observed thatdaily diary data collection procedures are feasible in patientsrecovering from surgery. In addition, we identified a simple modeldescribing the resolution of pain after surgery (ie, a log(time)model). When this model is used as a pain resolution model (orrecovery after surgery model), we can gain insight into a “typical”pain experience for a typical person. Finally, we explored whenthis model did not fit the data well and described several patternsof change that might lead to biased estimates of the resolutionprocess. To accommodate the unique process of pain resolution,we devised a strategy using change points that allow the modelform to change over time in response to complete resolution orsome new pain state.

4.1. Feasibility

Those previous reports of pain after surgery have not used dailymeasures for several weeks suggest that investigators recognizethe barriers to this approach. We examined feasibility in 2

Figure 3. Themodeled pain trajectories over time (A), the residuals (ie, error) around these predictions (B) and the first-order autocorrelation of the residuals (ie, howrelated errors are over subsequent time points) (C). The gray represents the total major joint arthroplasty participants and the black the cesarean deliveryparticipants. The top row represents the log(time) models that appear to represent the change in pain over time, but the use of a change-point model (bottom row)fit the data even better while reducing the correlation in the errors.

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populations: (1) elderly patients undergoing major surgery whoexhibit a high incidence of postoperative cognitive dysfunctionand who are often uncomfortable or unfamiliar interacting withnovel electronic devices and (2) young women undergoingsurgery for childbirth who go home to a stressful althoughtypically viewed as positive experience with a new baby, who areat low risk for postoperative cognitive dysfunction, and who are

comfortable and familiar with digital technology. The TJA patientsoverwhelmingly preferred pencil and paper reporting, a methodwhich suffers from the lack of a time stamp to confirm real-timereporting rather than reliance on memory of previous pain. Ina subsequent study in the TJA population (NCT02685735), weare using tablet-based digital entry to a secure REDCap site withgood success (data not shown).

In contrast to the TJA population, CD patients overwhelminglypreferred digital entry, usually through SMS or REDCap surveymethods. These methods allowed study personnel daily toassess compliance on a daily basis and to provide reminders. Itshould be noted that these methods require dedicated researchpersonnel to assess compliance and respond to hardware andsoftware problems 7 days per week.

Regardless of the method used to acquire data, missing dataare inevitable in this setting and missing observations complicatedata analysis using traditional repeated measures analysis ofvariance designs. If the data are missing at random, and factorsthat predict missingness can be included in the model, then thechange estimates are unbiased.6 If data are not missing atrandom (eg, patients with higher pain aremore likely to drop out ofthe study early), then the estimates of change will be biased andfurther efforts must be made to reduce this bias.

4.2. Frequent assessments provide unique perspectives

These data and analyses add meaningfully to our understandingof recovery from pain after surgery in 2 important ways. First, theyextend the period of frequent observations from 5 to 6 days whilepatients are in hospital1,4,14 to a 2months period. Interpretation ofpatterns of pain intensity scores in hospitalized patients isobscured by the analgesic interventions of varying efficacyapplied, the titration of these interventions to pain intensityscores, and the ongoing trend to reduce the period ofhospitalization after surgery. Extending these observations to 2

Figure 4. Examples of change processes that induce a pattern of errors into the residuals. In each example, the distance from the prediction line to the observedpoint contains a temporal pattern such that points nearby can be used to predict the error of subsequent points. This can be the case because of many “0” painscores in a sequence (“fast”) because a small group of points are very aberrant (“flare”), because the change process is not typical of a log(timemodel) (delayed), orbecause the pain scores follow a state-like pattern where the only change levels occasionally.

Figure 5. The location of the change point (x-axis) for each individualparticipant (each row on the y-axis). The size of the circle reflects the probabilitythat there is a change point at that time for that participant.

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months is important, as the presence and intensity of persistentpain at this time period is a high risk factor (odds ratio 18.4) forpain lasting years.18 Second, the current data include a consid-erably larger number of observations than that has beenpreviously acquired (Fig. 6). As noted in Figure 6, the smallnumber of time points has largely restricted analysis to simplemodels (linear and quadratic), and the only study using morecomplex modeling in a large number of subjects was restricted toonly a few days in hospitalized patients.10

4.3. Application of growth curve modeling

In retrospect, it is intuitively obvious that pain experience may notfollow a simple form during recovery from injury. In most cases,pain completely resolves, in which case any model must betruncated, but in many cases pain may fluctuate around zero forseveral days, complicating the decision of when to truncate themodel. In other cases, pain may initially change (either decreaseor increase4) after a pattern that can be well fit, but then changesto a different pattern. Analysis of autocorrelations in the log(time)model in the current study suggested that this shift from 1 patternto another occurs frequently in the postoperative population,leading to our application of a Bayesian change-point model. Wenote that the first (and often only) change point occursapproximately 10 to 21 days after surgery, a time of the mostrapid return toward normal sensory processing leading. This mayalso be the time when processes which foster slow resolution ofpain (eg, the so-called transition to chronic pain) become

manifest. Regardless of this interpretation, the enhancedgranularity of understanding shifting time courses of recoveryfrom pain provided by this time-change model approach may beuseful in assessing efficacy of interventions aimed at speedingrecovery in entire surgical populations or reducing the incidenceof chronic postsurgical pain.

The current data suggest that there is a typical experience ofpain resolution after surgery, but that meaningful subpopulationsof experience may exist. Individuals reported a wide variety ofday-to-day experiences after surgery ranging from very fastresolution of pain (ie, 6 days) to much slower courses (.40 days).Interestingly, the differences in pain resolution varied as muchwithin surgery type as across surgeries, suggesting that individualdifferences play as large a role as surgical insult. Although thedefining trend was pain resolution, there were patterns ofexperience that could be identified (eg, “flare-ups”) that aredifficult to model using only 1 model form.

In addition, identifying latent classes of subjects with initialrecovery patterns or patterns after the first change point couldsubstantially impact our appreciation for the experience of painafter surgery. Some individuals with fast resolution are oftenignored by the chronic pain research community, whereas otherindividuals may initially seem to follow a trajectory toward chronicpain, only to have a rapid resolution later during the 6months aftersurgery. An important question might be how these 2 types ofindividuals differ and how best to predict which individuals are inwhich category.

4.4. Limitations

This is an exploratory analysis that uses 2 disparate surgicalpopulations, but it is difficult to generalize these results beyondthese surgical procedures. The best fitting pain resolutionmodels were remarkably similar between these 2 groups ofpatients, but the extent to which other surgeries might followthe same trajectories is unclear. Different procedures indifferent patient populations will result in different initial painseverity and time of resolution and that it is conceivable that insome cases the form could differ by procedure. However,variability in initial severity or time to resolution could also beconsidered a strength in this attempt to define the general formof recovery.

We considered a wide range of models in selecting the “best”pain resolution model, but other candidates may fit better oraccount for the variety of experiences in a more flexible way. Weattempted to posit a simple model (eg, log(time)) in the context ofa change point and perhaps this model could serve as a startingplace for which to compare other more complex forms of change.For example, there may well be 2 forms of change in the recoveryprocess: an initial recovery model and maintenance phases. Weobserved that many participants experienced pain even after“resolution” (ie, experienced occasional pain after pain reached“0” for the first time), but the extent to which a model thatassumed an inflection of change (eg, a knot or state-changemodel) fits better than our simple approach should be evaluatedin a novel data set.

Our approach to characterizing the day-to-day experienceof pain was ultimately qualitative, despite the fact that webased our characterizations on patterns in the autocorrelationfunction. Data-driven procedures have been developed tooptimize latent classes of models, but our modest sample sizeprecluded the use of these procedures (eg, latent class growthcurve models). Future work should use such procedures asprudent.

Figure 6. Summary of previous studies of recovery after surgery1,3,4,7,11,13–16

or with serial time sampling in medical patients,5,10 showing number ofsamples obtained per patient and the modeling period. Each symbolrepresents a single study, unless otherwise noted, in when no formal model(red) or linear (black), quadratic (green), or complex (orange) models were fit tothe data.

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4.5. Conclusions

These data demonstrate the feasibility of acquiring daily painassessments for 2 months after surgery in young as well as olderpatients undergoing major surgery, although the burden on studypersonnel is large and missing data are frequent. Despite theseproblems, this approach yields an adequate number of obser-vations for growth curvemodeling, something that heretofore hasnot been possible at this level of detail in this 2-month time period.The Bayesian change-point model that best fit these data isbiologically plausible, suggests a time period in which transitionsto persistent pain or healing occurs, and applies in this modestsample size to disparate surgical procedures. Its application toa broader surgical population and replication will lay thefoundation for its use as a novel outcome measure.

Conflict of interest statement

J. C. Eisenach consults to Adynxx (San Francisco, CA, USA) andTEVA Pharmaceutical Industries (North Wales, PA, USA) re-garding preclinical and clinical analgesic development of analge-sics. Adynxx is developing agents to speed recovery fromsurgery, but does not use the methods described in thismanuscript and did not participate in this work or the manuscript.The remaining authors have no conflict of interest to declare.

Supported in part by grant P01 GM113852 to J. C. Eisenach(PI) and to S. Miller, J. E. Lang, T. T. Houle, R. S. Curry andC. A. Aschenbrenner from the National Institutes of Health,Bethesda, MD, USA.

Article history:Received 19 May 2017Received in revised form 30 June 2017Accepted 5 July 2017Available online 11 July 2017

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[7] Gaudilliere B, Fragiadakis GK, Bruggner RV, NicolauM, Finck R, TingleM,Silva J, Ganio EA, Yeh CG, Maloney WJ, Huddleston JI, Goodman SB,Davis MM, Bendall SC, Fantl WJ, Angst MS, Nolan GP. Clinical recoveryfrom surgery correlates with single-cell immune signatures. Sci TranslMed 2014;6:255ra131.

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© Copyright 2018 International Association for the Study of Pain. All rights reserved.

IASP brings together scientists, clinicians, health-care providers, and policymakers to stimulate and support the study of pain and translate that knowledge into improved pain relief worldwide.

FACT SHEET No. 1

The Gap Between Knowledge and Practice Persistent pain affects millions of people worldwide across the lifespan and is a global cause of disability in the developed and developing world alike (1). Unfortunately, neither policymakers, nor caregivers, nor system administrators, nor the public understand pain and its impact. Poorly managed pain is costly not only for the affected individuals and their families but also for governments and taxpayers.

The U.S. National Institutes of Health estimates the annual costs of persistent pain from $560 billion to $635 billion. This exceeds the economic costs of the six most costly major health problems: cardiovascular diseases ($309 billion); neoplasms ($243 billion); injury and poisoning ($205 billion); endocrine, nutritional, and metabolic diseases ($127 billion); digestive system diseases ($112 billion); and respiratory system diseases ($112 billion) (2).

In 2010, the IASP Declaration of Montreal stated, “All people have the right to have access to appropriate assessment and treatment of pain by adequately trained health-care professionals.” However, there continues to be a gap between what is known about effective pain management and the actual delivery of appropriate patient care. Professional education about acute, persistent (chronic), and/or cancer pain management has been repeatedly documented as inadequate worldwide. As a result, people continue to deal on their own with the consequences and social stigma associated with their pain and to be limited by their lack of awareness of available treatment options.

Ineffective pain management in the very young to the very old is linked to inadequate pain education. These failures are exacerbated by their potential to be self-perpetuating. Pain education targeting professionals, governments, people with pain and their families, and the public is an important strategy to remedy ineffective pain management practices. The international community can do so much more to improve pain education so that people may have access to appropriate pain treatments.

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_________________________________________________________________________________________________________________________

© Copyright 2018 International Association for the Study of Pain. All rights reserved.

IASP brings together scientists, clinicians, health-care providers, and policymakers to stimulate and support the study of pain and translate that knowledge into improved pain relief worldwide.

Now is the time to put pain education into the spotlight and help bridge the gap between knowledge and practice.

Overall areas of concern worldwide include the lack of understanding about the sheer magnitude of the public health issues surrounding pain. Professional health and medical education often does not recognize pain content as essential or a high priority. Moreover, the burgeoning opioid crisis, primarily in North America, has led to greater emphasis on recognizing and managing addiction while deprioritizing pain assessment and treatment generally (3). As a result, alarming deficits continue to be documented in the provision of undergraduate pain education, and progress and improvement of postgraduate education remain unacceptably slow. In addition, education for specialized pain management is only sporadically available. The resulting lack of transfer of current research and clinical evidence impedes the dissemination of optimal pain management practices.

Gaps and shortfalls in specific pain-related areas include the following:

Pain content in prelicensure curricula for health-care professionals remains inadequate. Licensure qualifications rarely require competency in appropriate pain assessment and management, particularly the safe and effective use of opioids. Pain-related competencies to ensure graduates are sufficiently educated so they can provide appropriate pain management are underutilized. Post-licensure continuing professional development opportunities for specialized expertise in pain management are lacking. Contemporary evidence is not being transferred to pain management practices in optimal fashion. Voices of individuals and their families are not sufficiently considered in pain management planning and monitoring. Outcome evaluations of pain education are not routinely captured and tend to focus on knowledge rather than competence and improved patient outcomes. The public health impact and related population-health consequences of pain are not well understood. People with persistent pain often lack access to or are unaware of available resources and treatment options.

The Global Year for Excellence in Pain Education strives to address the above gaps by focusing on the following four key areas.

1. Public and Government Education 2. Patient Education 3. Professional Education 4. Pain Education Research

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_________________________________________________________________________________________________________________________

© Copyright 2018 International Association for the Study of Pain. All rights reserved.

IASP brings together scientists, clinicians, health-care providers, and policymakers to stimulate and support the study of pain and translate that knowledge into improved pain relief worldwide.

To help members with a call to action by organizations, including universities and governments, we have developed prospectuses to promote Public and Government Education, Professional Education, and Self-Management Education (http://s3.amazonaws.com/rdcms-iasp/files/production/public/globalyear/2018%20Global%20Year%20for%20Excellence%20in%20Pain%20Education%20Brand%20Prospectus%201.17.18.pdf). REFERENCES

1. Rice A., Smith B, Blyth F. Pain and the global burden of disease. Pain 2016;157(4): 791-796. 2. Darrell J., Richard P. The Economic Costs of Pain in the United States. J Pain 2012; 13(8): 715-724 3. National Academies of Sciences, Engineering, and Medicine. Pain Management and the Opioid Epidemic: Balancing Societal and Individual Benefits and Risks of Prescription Opioid Use. Washington, D.C.: National Ac ademies Press; 2017. https://www.nationalacademies.org/opioidstudy

AUTHORS

Paul Wilkinson, MB, BS, B.Med.Sci, M.Clin.Ed., MRCGP, FRCA, FFPMRCA Chair, Global Year Task Force Chair, IASP SIG Education Consultant in Pain Medicine Newcastle Pain Management Unit Royal Victoria Infirmary Newcastle upon Tyne, UK Judy Watt-Watson, RN, MSc, PhD Professor Emeritus Lawrence S. Bloomberg Faculty of Nursing Senior Fellow, Massey College University of Toronto Toronto, Ontario, Canada REVIEWERS Daniel B. Carr, MD, DABPM, FFPMANZCA (Hon) Professor of Public Health and Community Medicine (primary appointment) Professor of Anesthesiology and Medicine (secondary appointments) Founding Director, Tufts Program on Pain Research, Education and Policy Public Health Program Tufts University School of Medicine Boston, Mass., USA Andreas Kopf, dr. Med. Dept. of Anaesthesiology and Intensive Care Campus Benjamin Franklin Charité - Medical University Berlin Berlin, Germany

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