spiral.imperial.ac.uk · web view2018. 9. 20. · a large amount of variation exists in...
TRANSCRIPT
Impact of switching to polypill based therapy by baseline potency of medication: post-hoc analysis of the SPACE Collaboration dataset
Ruth Webster1, PhD, MIPH(hons), MBBS(hons), BMedSc(hons)
Chris Bullen2, PhD, MBChB
Anushka Patel1, MBBS, SM, PHD
Vanessa Selak2, PhD, MBChB
Sandrine Stepien1,
Simon Thom3, MBBS, MD
Anthony Rodgers1, PhD, MBChB
1The George Institute for Global Health, University of New South Wales, Sydney2National Institute for Health Innovation, University of Auckland, Auckland3Imperial College, London
Corresponding Author:Dr Ruth WebsterThe George Institute for Global HealthPO Box M201,Missenden RdCamperdown NSW 2050AustraliaPh: +61 2 8052 4557Fax: +61 2 8052 4502E: [email protected]
Abstract word count: 328
Manuscript word count: 2469
FundingThe authors have received grants from several research charities and national funding agencies for research on cardiovascular polypills, and from Dr Reddys Ltd for co-ordination of the SPACE program (www.spacecollaboration.org). The polypills used in the SPACE trials were manufactured and supplied by Dr Reddy’s Ltd free of charge. Some authors received funding from Dr Reddy’s Laboratories Ltd to attend investigator meetings related to the polypill (VS, AC, AP, NR, AR, ST, AW, RW).
1
Abstract
Background: Fixed dose combinations of cardiovascular therapy (‘polypills’) have now been launched in several dozen countries. There is considerable clinical interest in the effects of switching to polypill-based care from typical current treatment regimens, especially if polypills contain components at sub-maximal dosage.
Methods:
The SPACE Collaboration includes three trials of polypill based care vs usual care in patients with established CVD or at high calculated risk. Individual patient data for 3140 trial participants were combined. Patients were categorized according to the potency of the statin and the number of BP lowering medications they were taking at baseline. Effects on adherence to anti-platelet medication, systolic blood pressure (SBP) and LDL cholesterol stratified by baseline potency of medication were determined using fixed effects models.
Results:
Randomisation to the polypill group was associated with improved SBP at 12 months, but this improvement varied according to baseline BP regimen: -3.3, -5.9, -2.5 and +1 mmHg for patients taking 0, 1, 2 and 3+ BP lowering medications at baseline. For changes in LDL cholesterol at 12 months, significant improvements in LDL cholesterol were seen for those taking no statin (-0.21 mmol/l; 95% CI: -0.34 to -0.07), less potent statin (-0.16 mmol/L; 95% CI: -0.29 to -0.04) and equipotent statins (-0.14 mmol/L; 95% CI -0.26 to -0.02) at baseline.
Conclusion: The adherence benefits of polypills tend to offset the loss of potency from use of individual components with lower dose potency, and to facilitate improvements in multiple risk factors.
Keywords: polypill, combination therapy, cardiovascular prevention, meta-analysis
2
Introduction
A large amount of variation exists in preventive medication regimens prescribed to those at
high risk of CVD. Availability of individualized therapy has failed to achieve adequate
coverage of recommended, proven CVD preventive medications globally. In high income
countries only approximately 50% of patients take the recommended combination of statin,
blood pressure lowering and anti-platelet therapy(1), with coverage much lower in lower
income countries(2).
Fixed dose combination (FDC) cardiovascular ‘polypills’ (combination medications
containing blood pressure lowering and statin medication with or without aspirin) improve
adherence(3-5), but this benefit could be negated if polypill components were less potent than
alternative component medicines in the same class. Specifically, clinical concern has been
expressed about the lesser potency of simvastatin that has been included in some polypills,
compared to atorvastatin and rosuvastatin and whether this may be more important than any
adherence advantages from taking the polypill.(6) Perceived lack of dose titration options of
the polypill components has also led to concerns over potential for risk factor control to be
diminished compared to conventional approaches to individualized therapy.(6)
The SPACE Collaboration is an international group of academic investigators who have
conducted three similar, large, randomized trials of polypill based care compared to usual
care in patients with established cardiovascular disease or at high calculated risk.(3)
Individual patient data meta-analysis (IPD) demonstrated improvements in the use of
recommended combination therapies for patients randomized to polypill based care, with
consequent improvements in systolic blood pressure (SBP) and low density lipoprotein
cholesterol (LDL-C).(3) Patient enrolment in all SPACE Collaboration trials necessitated that
3
all components of the polypill (i.e. anti-platelet, cholesterol lowering, and combination BP
lowering therapy) were clinically indicated. However not all patients were currently
prescribed all of these components, since there were no limitations on which medications or
dosage the patient should be taking prior to enrolment. Additionally, physicians were allowed
to add medications on top of the polypill in order to achieve risk factor targets. The extent to
which this occurred has not previously been reported. Therefore, it is possible that patients
who were receiving more than two BP lowering medications at baseline may have had their
therapy down-titrated by randomization to the polypill with possible adverse impacts on their
BP control, despite improvements in adherence.
In this paper we report post-hoc subgroup analyses of the SPACE Collaboration dataset to:
1. Describe patterns of treatment intensity at 12 months follow-up in both randomized
groups compared to baseline, and
2. Investigate any differential effect of randomisation to the polypill arm in those who
were on a more potent statin at baseline or on ≥ 3 BP lowering medications at
baseline.
Methods
Details of the SPACE Collaboration IPD analysis methods have been previously reported in
detail.(7) In brief, three trials were collaboratively planned, conducted and analysed, based on
the same protocol, with minor regional adaptations: UMPIRE,(8) with 1004 participants from
Europe (United Kingdom, Ireland, and The Netherlands), and 1000 participants from India;
Kanyini-GAP (N=623) conducted in Australia(9) and IMPACT (N=513) conducted in New
Zealand.(10) The three trials utilized a prospective, randomised open-label, blinded endpoint
4
(PROBE) design. A prospectively planned IPD meta-analysis was also registered with the
Australian New Zealand Clinical Trial Registry: ACTRN12612000980831.
Patient population
All patients were required to have indications for each category of antiplatelet, cholesterol
lowering and, BP lowering therapy, based on either established cardiovascular disease or
absolute risk greater than 15% over 5 years using a Framingham based risk calculator.(11)
Study medication
Usual care comprised cardiovascular preventive medications (including antiplatelet,
cholesterol lowering and BP lowering medicines as separate medicines) as prescribed at the
treating doctor’s discretion. No efforts were made to influence treatment provided as usual
care and no changes were required following enrolment into the study.
If patients were randomised to the polypill, 2 polypill versions were available for prescription
containing 75mg aspirin, 40mg simvastatin, 10mg lisinopril and either 12.5mg
hydrochlorothiazide or 50mg atenolol. Additional anti-platelet, cholesterol lowering and BP
lowering medication were allowed to be prescribed as required to meet BP and cholesterol
targets which were left to the prescribers’ clinical opinion. If the patient withdrew from
taking the polypill for any reason the treating doctor was advised to commence individual
agents, however no restriction was placed on what medications could be prescribed to replace
the polypill (e.g. any statin in any dose could be prescribed).
Medication use was documented at baseline and any changes that occurred were noted at
each trial visit.
Categorization of intensity of treatment
5
Doses of individually prescribed statins were categorized as being less potent, equipotent or
more potent than 40mg simvastatin as contained in the polypill according to published
definitions of equivalence (Table 1).(12)
Blood pressure lowering medications were identified as being prescribed as monotherapy,
dual therapy, triple therapy or as part of ≥ four concurrent therapies.
Numbers and intensity of statins and BP lowering medications were determined based on all
medications that were taken regardless of whether as part of a polypill or as individual
medications.
All medication data was collected via patient self-report. Adherence to medication was
defined as taking the medication at least 4 out of the previous 7 days.
Statistical methods
Analyses were performed on the combined dataset using one-stage meta-analyses.(13) For
BP and cholesterol, analyses consisted of a linear mixed model with the month-12 value as
the outcome, the baseline value and the treatment arm as fixed effects, and a random trial
intercept and fixed trial-by-treatment interaction. For adherence and other dichotomous
outcomes, a log-binomial regression with a fixed treatment effect, a random trial intercept
and fixed trial-by-treatment interaction was used. No adjustments were made for post-hoc
subgroup analysis.
Results
A total of 3140 patients were randomized across the three SPACE Collaboration trials.
Patients were predominantly male with a mean age of 62 years of age (Table 2). At baseline
mean SBP was 139 mmHg and mean LDL-C 2.4 mmol/L. About three quarters of
6
participants had established cardiovascular disease. Ninety-one percent of participants were
prescribed at least 1 BP lowering medication, 84% prescribed a statin and 87% prescribed an
anti-platelet medication at baseline. Seventy-four percent were prescribed all three
medication types.
Change in antiplatelet therapy from baseline to 12 months
Of the participants prescribed anti-platelet therapy at baseline, just over half (58.4%) were
prescribed aspirin alone and 30% prescribed another form of anti-platelet therapy. At 12
months, a greater proportion of participants in both arms were prescribed some form of anti-
platelet agent (92% in the usual care arm vs 96% in the polypill arm) with aspirin remaining
the most common agent.
Change in number of BP lowering agents from baseline to 12 months
Table 3 shows changes in number of BP lowering medications from baseline to 12 months.
Cells are colour-coded to demonstrate those who were on a lesser number of BP lowering
medications by 12 months compared to baseline, those who stayed at the same number of
medications and those who increased the number of BP lowering medications taken. In the
usual care arm, 171 patients had no data at 12 months and 145 patients had no data in the
intervention arm. At baseline overall, 67% of participants were prescribed at least 2 drugs. At
12 months, 83% of patients in the usual care arm continued prescribed the same number of
BP lowering drugs that they were prescribed at baseline with 5% decreasing the number
taken and 12% increasing the number taken. In the polypill group overall, 52% took the same
number of BP lowering medications at 12 months with 9% prescribed less and 39%
prescribed more. The largest increase in number of BP lowering medications taken occurred
in those prescribed 0 or 1 BP lowering drug at baseline (consistent with being randomized to
the polypill containing 2 BP lowering medications).
7
Changes in potency of statins prescribed from baseline to 12 months
Table 3 shows changes in intensity of statin prescription from baseline to 12 months.
Participants in the usual care arm predominantly remained at the same potency of statin with
a small number decreasing (4% of participants) and increasing (8% of participants) their
intensity of statin dosing. In the polypill arm, 22% of participants had a reduction in the
potency of their statin dose, 32% remained the same and 37% either started or had an
increase in the potency of their statin dose.
Primary outcomes of adherence, SBP and LDL-C stratified by potency of medication taken at
baseline
Figure 1 shows polypill treatment effects on adherence to aspirin therapy, SBP and LDL-C at
12 months follow-up, stratified by potency of anti-platelet, BP lowering and statin therapy at
baseline.
Randomisation to the polypill group was associated with improved adherence to anti-platelet
therapy for all categories of baseline anti-platelet use. At 12 months, randomisation to the
polypill group was associated with overall improved SBP at 12 months, but this effect
progressively declined with an increasing number of BP lowering medications used at
baseline: : -3.3, -5.9, -2.5 and +1 mmHg for patients prescribed 0, 1, 2 and ≥3 BP lowering
medications at baseline. For those prescribed 3 or more medications at baseline, the 95%
confidence intervals ranged from -2.1 to 6.5 mmHg.
For changes in LDL cholesterol at 12 months, randomisation to polypill was associated with
significant improvements in LDL cholesterol among those prescribed no statin (-0.21 mmol/l;
95% CI: -0.34 to -0.07), less potent statin (-0.16 mmol/L; 95% CI: -0.29 to -0.04) and
equipotent statins (-0.14 mmol/L; 95% CI -0.26 to -0.02) at baseline, while there was no clear
8
difference among those prescribed more potent statins at baseline (0.07 mmol/L; 95% CI -
0.05 to 0.18).
When the effect of the polypill on BP and LDL-C was examined by subgroups defined by
different levels of baseline medications that would not be expected to directly impact the
outcome, no heterogeneity was seen. Thus, even if a neutral or negative impact on a
particular risk factor was seen due to difference in potency, beneficial effects of the polypill
on the alternate risk factor was preserved.
Figure 1 shows the treatment effect on adherence to aspirin, SBP and LDL cholesterol based
on overall potency of combined treatment regimen at baseline. There were relatively few
patients prescribed more intensive treatment across all component medications so confidence
intervals were wide, but there were no findings consistent with potential benefit or harmful
effect of switching to a polypill (RR 1.0, 95%CI 0.9 to 1.1 for aspirin adherence; 0.94 mmHg,
95%CI: -3.6 to 5.48 for SBP; 0.049 mmol/L, 95%CI: -0.136 to 0.233 for LDL). Patients who
were prescribed all three treatment modalities (but not all at highest intensity) showed a 30%
(95% CI 1.3 to 1.4) improvement in adherence to aspirin, 3.33 (95%CI: -4.84 to -1.83)
mmHg improvement in SBP and 0.12 (-0.183 to -0.063) mmol/L improvement in LDL
cholesterol. The improvements in those prescribed less than optimal treatment were more
marked with up to 500% improvement in adherence to aspirin, 4.6mmHg improvement in
SBP and 0.15 mmol/l improvement in LDL cholesterol (although LDL cholesterol difference
non-significant due to wide confidence intervals).
Discussion
Our analysis demonstrates that overall randomization to polypill based therapy was
associated with greater self-reported adherence to optimal combinations of therapy, lower BP
9
levels and lower LDL-C levels. When stratified by baseline antiplatelet use, no heterogeneity
was observed in the effects on BP and LDL-C. When stratified by baseline potency of statins,
there was heterogeneity observed in the effect on LDL-C with higher potency at baseline
associated with less LDL-C lowering effect. A similar result was seen for BP lowering
medications.
However, rather than concentrating solely on the effect of individual drugs on risk factor
levels, our analyses indicate that treatment with a polypill impacts multiple risk factors
together because it enforces use of multiple risk reducing medications simultaneously.
Therefore, use of a polypill may improve BP levels and concurrently address lipids levels and
risk of thrombosis.
The clinical implications of these findings are two-fold: first, switching to polypill-based
care will tend to give most benefits when patients are undertreated or not treated for all three
treatment modalities with up to 500% improvement in adherence to aspirin, 4.6mmHg
improvement in SBP and 0.15 mmol/L improvement in LDL cholesterol (although difference
in LDL cholesterol non significant). Second, when a patient is receiving intensive treatment
for one modality (e.g. potent statin therapy), switching to a polypill with less potency (such as
a moderate potency statin) may not worsen control of the factor targeted by the medication
(e.g. LDL-cholesterol) but may have benefits on other modalities (i.e. BP control and aspirin
adherence). In other words, improvements in overall polypill adherence appeared to balance
out potential reductions in efficacy from the use of a less potent component medication.
Unless a patient is already prescribed antiplatelet medication, high potency statin and at least
3 BP lowering medications, the benefits of polypill based therapy on global patient
10
cardiovascular risk appear to be clear. The literature has clearly shown that the proportion of
patients at high risk who fall into this ‘optimal treatment’ group is very low.(1,2)
There is debate about the need for polypill studies with cardiovascular event endpoint data
given the already proven efficacy of these medicines. However, some suggest a large trial of
polypill-based care vs usual care with long-term follow-up is needed.(14) Additional
evidence on longer-term adherence, and in diverse patient populations and health care
settings would be helpful. Finally, further research is needed on the effects of using polypills
with the most potent components (such as rosuvastatin and atorvastatin) and/or multiple dose
versions , now that these statins are off-patent.
Strengths of this study include the large number of patients and use of individual patient data
for meta-analysis. All three included studies were conducted so as to mimic routine practice
as much as possible to provide insights into how polypills would be utilized in clinical
practice.
Limitations include lack of power in certain patient subgroups (including those receiving all
three treatments at optimal doses at baseline) due to low numbers. The patients in the SPACE
Collaboration trials were an unusually well treated group, possibly due to selection bias for
trial participants. Three quarters of patients were on all three component medications
(regardless of dose) at baseline compared to more conservative estimates of around 50% in
high income settings and as low as 3% in low income settings.(1,2)
We conclude that the conventional paradigm of treating risk factors separately and titrating
medications individually may present barriers to optimal medication use and adherence.
11
Conclusions
Use of a polypill based regimen improves risk factor control in the majority of patients
regardless of potency of baseline individualized medication regimen; the benefits are largest
in those who are undertreated or poorly adherent which comprises the vast majority of
patients globally. Use of a polypill may assist in facilitating risk reduction across multiple
risk factors with less cost and inconvenience to patients.
References:
1. Webster RJ, Heeley EL, Peiris DP et al. Gaps in cardiovascular disease risk management in Australian general practice. Medical Journal of Australia 2009;191:324-9.
2. Yusuf S, Islam S, Chow CK et al. Use of secondary prevention drugs for cardiovascular disease in the community in high-income, middle-income, and low-income countries (the PURE Study): a prospective epidemiological survey. Lancet 2011;378:1231-43.
3. Webster R, Patel A, Selak V et al. Effectiveness of fixed dose combination medication ('polypills') compared with usual care in patients with cardiovascular disease or at high risk: A prospective, individual patient data meta-analysis of 3140 patients in six countries. International journal of cardiology 2016;205:147-56.
4. Castellano JM, Sanz G, Penalvo JL et al. A polypill strategy to improve adherence: results from FOCUS (Fixed-dose Combination Drug for Secondary Cardiovascular Prevention) Project. Journal of the American College of Cardiology 2014.
5. Bramlage P, Sims H, Minguet J, Ferrero C. The polypill: An effective approach to increasing adherence and reducing cardiovascular event risk. European journal of preventive cardiology 2017;24:297-310.
6. Webster R, Castellano JM, Onuma OK. Putting polypills into practice: challenges and lessons learned. Lancet 2017;389:1066-1074.
7. Webster R, Patel A, Billot L et al. Prospective meta-analysis of trials comparing fixed dose combination based care with usual care in individuals at high cardiovascular risk: the SPACE Collaboration. International journal of cardiology 2013;170:30-5.
8. Thom S, Poulter N, Field J et al. Effects of a fixed-dose combination strategy on adherence and risk factors in patients with or at high risk of CVD: the UMPIRE randomized clinical trial. JAMA : the journal of the American Medical Association 2013;310:918-29.
9. Patel A, Cass A, Peiris D et al. A pragmatic randomized trial of a polypill-based strategy to improve use of indicated preventive treatments in people at high cardiovascular disease risk. European journal of preventive cardiology 2014.
12
10. Selak V, Elley CR, Bullen C et al. Effect of fixed dose combination treatment on adherence and risk factor control among patients at high risk of cardiovascular disease: randomised controlled trial in primary care. BMJ 2014;348.
11. Anderson KM, Odell PM, Wilson PW, Kannel WB. Cardiovascular disease risk profiles. American heart journal 1991;121:293-8.
12. Helfand M, Carson S, Kelley C. Drug Class Review on HMG-CoA Reductase Inhibitors (Statins): Final Report. Portland (OR), 2006.
13. Debray TPA, Moons KGM, Abo-Zaid GMA, Koffijberg H, Riley RD. Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage? PLoS ONE 2013;8:e60650.
14. Piepoli MF, Hoes AW, Agewall S et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). European heart journal 2016;37:2315-81.
13
Table 1: Defined statin equivalence.(12)
Statin Less potent dosages Equipotent dosages More potent
dosages
Simvastatin <40mg 40mg (=dose in the
polypill)
>40mg
Pravastatin <80mg 80mg Nil
Fluvastatin ≤80mg Nil Nil
Atorvastatin <20mg 20mg >20mg
Rosuvastatin <5mg 5mg >5mg
Lovastatin <80mg 80mg Nil
Pitavastatin <4mg 4mg >4mg
14
Table 2: Baseline Characteristics.
Baseline CharacteristicPolypill
N = 1569
Usual Care
N = 1571
Age, years (SD) 62.3 (10.6) 62.0 (10.9)
Female, n (%) 398 (25.4%) 381 (24.3%)
Office BP, mmHg (SD)
Systolic BP 139.2 (20.8) 139.8 (21.0)
Diastolic BP 79.0 (12.1) 79.5 (11.9)
Lipid fractions, mmol/L (SD)
Total cholesterol 4.2 (1.0) 4.3 (1.3)
HDL cholesterol 1.1 (0.3) 1.1 (0.3)
LDL cholesterol derived 2.4 (0.9) 2.4 (0.9)
Triglycerides 1.6 (1.1) 1.6 (1.0)
Current smoker, n (%) 312 (19.9%) 322 (20.5%)
Creatinine, µmol/L (SD) 88.1 (30.3) 88.6 (25.0)
No history of symptomatic
cardiovascular disease, n (%)377 (24%) 367 (23%)
History of coronary heart disease, n
(%)1021 (65.1%) 1025 (65.3%)
History of cerebrovascular disease, n
(%)216 (13.8%) 231 (14.7%)
History of peripheral vascular disease,
n (%)92 (5.9%) 70 (4.5%)
Diabetes mellitus, n (%) 581 (37.0%) 542 (34.5%)
15
Table 3: Change in treatment intensity of BP lowering therapy and statins taken at 12 months. Participants remain in the same row, i.e. data at 12 months shows outcomes for patients in each category at baseline
Baseline 12 Months
Usual care (N=1400) Polypill (N=1424)
Usual care Polypill
No BP
lowering 1 2 >=3
No BP
lowering 1 2 >=3
Number of observations 1571 1569 67 329 560 444 49 86 793 496
BP lowering agents at baseline
No BP lowering agents 105
(49%)
110
(51%)
51
(55%)
19
(21%)
16
(31%)
6
(7%)
21
(21%)
10
(10%)
58
(59%)
10
(10%)
1 BP lowering agent 392
(47%)
441
(53%)
9
(3%)
278
(80%)
42
(12%)
18
(5%)
10
(3%)
53
(13%)
275
(69%)
59
(15%)
2 BP lowering agents 634
(51%)
607
(49%)
7
(1%)
25
(4%)
474
(83%)
64
(11%)
12
(2%)
15
(3%)
383
(69%)
144
(26%)
≥3 BP lowering agents 440
(52%)
411
(48%)0
7
(2%)
28
(7%)
356
(91%)
6
(2%)
8
(2%)
77
(21%)
283
(76%)
No statin Less Equi More No statin Less Equi More
N 1508 1519 171 409 394 385 86 49 1127 123
No statin 240 (49%) 252 (51%)133
(62%)
30
(14%)
26
(12%)
24
(11%)
30
(13%)
3
(1%)
182
(81%)
11
(5%)
Less potent 420 (50%) 422 (50%)13
(3%)
365
(92%)
8
(2%)
9
(2%)
23
(6%)
38
(10%)
329
(83%)
5
(1%)
Equipotent 437 (52%) 411 (48%)21
(5%)
8
(2%)
355
(88%)
21
(5%)
19
(5%)
4
(1%)
339
(88%)
24
(6%)
16
Baseline 12 Months
Usual care (N=1400) Polypill (N=1424)
Usual care Polypill
No BP
lowering 1 2 >=3
No BP
lowering 1 2 >=3
More potent 411 (49%) 434 (51%)4
(1%)
6
(2%)
5
(1%)
331
(96%)
14
(4%)
4
(1%)
277
(73%)
83
(22%)
Changed to lower number of BP lowering
agents/lower potency of statin
Stayed at the same number of BP lowering
agents/same potency of statin
Changed to higher number of BP lowering
agents/higher potency of statin
17
18
Figure 1: Adherence to anti-platelet medication, systolic blood pressure and LDL cholesterol at 12 months follow-up stratified by baseline potency
of individual classes of medication and overall treatment intensity.
Intensive treatment defined as prescribed anti-platelet medication, >2 blood pressure lowering medications and a more potent statin.
All 3 modalities defined as all other patients prescribed anti-platelet, blood pressure lowering and statin medication, at any dose.
2 out of 3 modalities defined as all other patients prescribed at least 2 out of 3 of anti-platelet, blood pressure lowering and statin medication, at any
dose.
Less than 2 modalities includes all other patients prescribed none, or only 1 of antiplatelet, blood pressure lowering and statin medication, at any dose.
19