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ADD SITE SPECIFIC HEADER HERE 1 Protocol details 1.1 PROTOCOL TITLE: The Effect of Higher Protein Dosing in Critically Ill Patients: A Multicenter Registry-based Randomized Trial. The EFFORT Trial 1.2 Names (titles), roles and contact details of: Sponsor Name of Sponsoring Organisation/s: Queen’s University, Kingston General Hospital Name of Sponsor Representative: Helen Lee Address: Queen’s University, Kingston General Hospital, Clinical Evaluation Research Unit, Watkins 5C, Room 4-5-308-0, 76 Stuart Street, Kingston, ON, K7L 2V7 Telephone: +14039155573 Fax: n/a Email: [email protected] Chief Investigator Name: Dr Daren Heyland Address: Queen’s University, Kingston General Hospital, Clinical Evaluation Research Unit, Watkins 5C, Room 4-5-308-0, 76 Stuart Street, Kingston, ON, K7L 2V7 Telephone: +14039155573 Fax: n/a Email: [email protected] Name and address of Investigator(s) Name: Prof Nicholas Hart EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338 Page 1 of 68

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1 Protocol details

1.1 PROTOCOL TITLE:

The Effect of Higher Protein Dosing in Critically Ill Patients: A Multicenter Registry-based Randomized Trial. The EFFORT Trial

1.2 Names (titles), roles and contact details of:Sponsor

Name of Sponsoring Organisation/s: Queen’s University, Kingston General Hospital Name of Sponsor Representative: Helen Lee Address: Queen’s University, Kingston General Hospital, Clinical Evaluation Research Unit, Watkins 5C, Room 4-5-308-0, 76 Stuart Street, Kingston, ON, K7L 2V7Telephone: +14039155573Fax: n/aEmail: [email protected]

Chief Investigator

Name: Dr Daren HeylandAddress: Queen’s University, Kingston General Hospital, Clinical Evaluation Research Unit, Watkins 5C, Room 4-5-308-0, 76 Stuart Street, Kingston, ON, K7L 2V7Telephone: +14039155573Fax: n/aEmail: [email protected]

Name and address of Investigator(s)

Name: Prof Nicholas HartAddress: Lane Fox Respiratory Unit, Ground Floor, St Thomas’ Hospital, Westminster Bridge Rd, London SE1 7EHTelephone: 020 7188 87727Fax: n/aEmail: [email protected]

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Name: Miss Danielle BearAddress: Lane Fox Respiratory Unit, Ground Floor, St Thomas’ Hospital, Westminster Bridge Rd, London SE1 7EHTelephone: 020 7188 5642Fax: n/aEmail: [email protected]

Name: Prof Richard BealeAddress: Department of Critical Care, St Thomas’ Hospital, Westminster Bridge Rd, London SE1 7EHTelephone: 020 7188 3038Fax: n/aEmail: [email protected]

Name: Dr Liesl WandragAddress: Department of Nutrition and Dietetics, St Thomas’ Hospital, 3rd floor, B Block South Wing, Westminster Bridge Rd, London SE1 7EHTelephone: 020 7188 3038Fax: n/aEmail: [email protected]

StatisticianName: Andrew Day Address: Queen’s University Kingston, Kingston General Hospital, 76 Stuart St, Kingston, ON, CA, K7L 2N7Telephone: 6135496666 x4849Fax: n/aEmail: [email protected]

1.3 Protocol detailsVersion number 1.0 (adapted for the UK)FinalDate 22nd February 2018

This Protocol is intended for use with UK sites only.EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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Contents Page1 Protocol details..............................................................................................................................1

1.1 PROTOCOL TITLE:.................................................................................................................1

1.2 Names (titles), roles and contact details of:.........................................................................1

1.3 Protocol details....................................................................................................................2

Contents Page.......................................................................................................................................3

2 List of Abbreviations and Definitions.............................................................................................6

3 Summary/Synopsis........................................................................................................................8

4 Introduction.................................................................................................................................10

4.1 Background Rationale and Systematic Review of the Literature........................................10

4.1.1 Current Practice..............................................................................................................10

4.1.2 Is more Better?...............................................................................................................11

4.1.3 Is it More Calories that Matter or More Protein?...........................................................12

4.1.4 What do the RCTs demonstrate?....................................................................................13

4.1.5 Summary of Background Trials to Date..........................................................................13

4.1.6 Nutrition Risk Assessment in the Critically Ill..................................................................14

4.2 How will the results of this trial be used?...........................................................................15

5 Trial objectives and purpose........................................................................................................16

5.1 Trial hypothesis..................................................................................................................16

5.2 Primary objective...............................................................................................................16

5.3 Secondary objectives..........................................................................................................16

6 Study design & Flowchart............................................................................................................16

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6.1............................................................................................Study Design..........................................................................................................................16

6.2 Flowchart............................................................................................................................18

7 Subject selection..........................................................................................................................19

7.1 Subject inclusion criteria....................................................................................................20

7.2 Subject exclusion criteria....................................................................................................20

Inclusion Criteria..................................................................................................................................21

Rationale for Exclusion........................................................................................................................21

8 Study procedures.........................................................................................................................21

8.1 Subject recruitment............................................................................................................21

8.2 Screening Procedures.........................................................................................................22

8.3 Randomization Procedures................................................................................................22

8.4 Masking & other measures taken to avoid bias.................................................................23

8.4.1 Masking..........................................................................................................................23

8.4.2 Other measures taken to minimise / avoid bias.............................................................23

8.5 Schedule of Treatment for each visit..................................................................................23

8.5.1 Nutrition assessment.....................................................................................................24

8.6 Follow up Procedures.........................................................................................................26

8.7 End of Study Definition.......................................................................................................26

9 Assessment of Safety...................................................................................................................26

9.1 Trial Steering Committee....................................................................................................27

9.2 Ethics & Regulatory Approvals...........................................................................................28

10 Compliance and withdrawal...................................................................................................28

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10.1................................................................................Subject compliance..........................................................................................................................28

10.2 Withdrawal / dropout of subjects......................................................................................28

10.3 Protocol Compliance..........................................................................................................29

11 Data........................................................................................................................................29

11.1 Data to be collected...........................................................................................................29

11.2 Data handling and record keeping.....................................................................................30

11.2.1 Data collection and recording....................................................................................30

11.2.2 Data quality and validity............................................................................................30

11.2.3 Data security..............................................................................................................30

11.2.4 Record retention and archiving.................................................................................31

12 Statistical considerations........................................................................................................31

12.1 Sample size calculation.......................................................................................................31

12.2 Recruitment rate................................................................................................................32

12.3 Statistical analysis...............................................................................................................33

12.4 Interim analysis..................................................................................................................33

12.5 Sub-group analysis.............................................................................................................34

12.6 Data monitoring.................................................................................................................34

12.6.1 Monitoring, quality control and assurance................................................................34

13 Ethical considerations.............................................................................................................35

13.1 Peer review........................................................................................................................36

13.2 Informed consent...............................................................................................................36

14 Financing and Insurance.........................................................................................................36

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15.........................................................................Reporting and dissemination.............................................................................................................................36

16 References..............................................................................................................................45

2 List of Abbreviations and Definitions

AE Adverse Event

APACHE Acute Physiology and Chronic Health Evaluation Score

ASR Annual Safety Report

ASPEN American Society for Parenteral and Enteral Nutrition

CA Competent Authority

CERU Clinical Education Research Unit

CI Chief Investigator

COPD Chronic Obstructive Pulmonary Disease

CRF Case Report Form

CRO Contract Research Organisation

DMC Data Monitoring Committee

EC European Commission

EDCS Electronic Data Capture System

EN Enteral Nutrition

GAfREC Governance Arrangements for NHS Research Ethics Committees

ICF Informed Consent Form

ICU Intensive Care Unit

INS International Nutrition Survey

IV Intravenous

MA Marketing Authorisation

MS Member State

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Main REC Main Research Ethics Committee

NHS R&D National Health Service Research & Development

NUTRIC NUTrition Risk in the Critically Ill

PI Principle Investigator

QA Quality Assurance

QC Quality Control

Participant An individual who takes part in a clinical trial

RCT Randomised Controlled Trial

REC Research Ethics Committee

SAE Serious Adverse Event

SCCM Society for Critical Care Medicine

SDV Source Document Verification

SOFA Sequential Organ Failure Assessment Form

SOP Standard Operating Procedure

SSA Site Specific Assessment

TMG Trial Management Group

TSC Trial Steering Committee

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3 Summary/Synopsis

Title The Effect of Higher Protein Dosing in Critically Ill Patients: A Multicenter Registry-based Randomized Trial. The EFFORT Trial

Protocol Short Title/Acronym EFFORT trialProtocol Version number and Date V1_16Oct18Study Phase if not mentioned in title Phase IIIIs the study a Pilot? NoIRAS Number 230338REC ReferenceSponsor ReferenceStudy Duration 3 yearsMethodology International, multicenter, registry-based, randomized

controlled trialSponsor name Guy’s and St Thomas’ NHS Foundation TrustChief Investigator Prof. Nicholas Hart

Funder Name n/a

Medical condition or disease under investigation

Critical illness

Purpose of clinical trial To investigate the effect of prescribing a higher dose (≥2.2g/kg/day) of protein / amino acids compared to a low dose (≤1.2g/kg/day) on clinical outcomes in critically ill patients considered at high nutritional risk.

Primary objective To determine the effect of higher protein dosing (≥2.2 g/kg/d) vs lower protein dosing (≤1.2 g/kg/d) on 60-day mortality (death) in critically ill patients considered at high nutritional risk.

Secondary objective (s) In critically ill patients who are considered at high nutrition risk, what is the effect of higher protein dosing (≥2.2 g/kg/d) vs lower protein dosing (≤1.2 g/kg/d) on:

Time to discharge alive from hospital Hospital mortality Duration of mechanical ventilation ICU stay Hospital stay

Number of Subjects/Patients 4000 participants will be recruited internationally with the aim of 400 in the United Kingdom

Trial Design Randomised controlled trial

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Endpoints 60-day mortality Time to discharge alive from hospital Hospital mortality Duration of mechanical ventilation ICU stay Hospital stay

Main Inclusion Criteria Adult (greater than or equal to 18 years old) Requiring mechanical ventilation with actual or

expected total duration of mechanical ventilation greater than 48 hours

Nutritionally 'high risk' meeting one of the following criteria:

1. Low (<25) or High BMI (>35)2. Moderate to severe malnutrition (as defined by local assessments). 3. Frailty (Clinical Frailty Scale 5 or more from proxy)4. Sarcopenia- (SARC-F score of 4 or more from proxy)5. From point of screening, projected duration of mechanical ventilation >4 days

Statistical Methodology and Analysis The statistical plan has been devised by Andrew Day, trial statistician. Briefly, the primary analysis of 6 month mortality will be compared between the arms using the chi-square for two independent proportions. A secondary analysis will employ the generalized mixed effects model with a random site effect.

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4 Introduction

4.1 Background Rationale and Systematic Review of the LiteratureCritically ill patients receiving mechanical ventilation are at high risk of dying or developing

complications that delay their recovery. Patients who develop sepsis, multi-organ failure, or require

prolonged mechanical ventilation or immobility are at particular risk for developing weakness and

other neuromuscular abnormalities.1, 2 These impairments are associated with delayed liberation

from mechanical ventilation, extended Intensive Care Unit (ICU) and hospital stays, more healthcare-

related hospital costs, a higher risk of death, and impaired physical functioning and quality of life in

the months following an ICU admission.1-3 These observations speak to the importance of

developing new strategies to aid in the physical recovery of critically ill patients. Emerging evidence

suggests that exogenous protein/amino acid supplementation has the potential to favorably impact

protein balance and improve the recovery of critically ill patients. After a careful review of the

published evidence, experts concluded that critically ill patients should receive up to 2.0-2.5

grams/kg/day of protein and receiving at least 80% of the protein that is prescribed is associated

with optimal outcomes.4, 5

4.1.1 Current Practice In 2014, Heyland and colleagues conducted an International Nutrition Survey (INS) of actual clinical

practice in 187 ICUs around the world involving almost 4000 patients.6 These survey data clearly

demonstrated that ICU patients worldwide are receiving nowhere near current protein

recommendations. On average, patients were prescribed 94 grams of protein per day or

approximately 1.3 grams/kg/day (interquartile range, 1.0-1.5 grams/kg/day, overall range, 0.5-3.8

grams/kg/day). Even within a site, we observed tremendous variability in the protein prescription.

Median prescription within a site was 1.2 gram/kg/day but the range went from 0.86 to 2.6. Overall,

patients from these participating ICUs received approximately 55% of prescribed protein

requirements with site averages ranging from 15-101%. When reviewing individual sites, 11 sites

(5.9%) averaged providing more than 80% of prescribed protein amounts in all included patients and

13 sites (7.3%) of the 179 sites with high nutritional risk patients as determined by the NUTrition Risk

in the Critically Ill score (NUTRIC, explained below) managed to provide more than 80% of prescribed

amounts of protein to these high-risk patients. At a patient level, 634 (16.1%) of patients received

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more than 80% of prescribed protein amounts and only 296 (16.3%) of high NUTRIC Score patients

received more than 80% of prescribed amount. Note that the percentage of patients receiving 80%

of prescribed protein is the same in all patients and in nutritionally high-risk patients suggesting that

practitioners are not discriminating between low and high-risk patients.

Overall, protein delivery was low with the majority of protein delivered coming from EN formulas

(82.5%), an additional 11.5% coming from parenteral amino acid sources and very little coming from

enteral protein supplements (5.9%) or intravenous (IV) amino acids alone without IV glucose and/or

lipids (13 patients, 0.1%). Of note, parenteral nutrition (PN) was used in only 14.2% of included

patients, enteral protein supplements were used in only 21.0% of patients, and only 7 sites used a

feeding protocol that optimized the delivery of enteral nutrition (EN) (i.e., PEP uP Protocol).

4.1.2 Is more Better?Statistical analysis of the same INS database, as well as other existing nutritional databases, revealed

a relationship between increased nutrition intake (either 30 grams/day more of protein and/or 1000

more calories per day) and improved clinical outcomes. For example, we have shown that for an

additional 30 grams of protein per day or 1000 calories per day, critically ill patients have reduced

infectious complications, shorter duration of mechanical ventilation, and reduced mortality. 5, 7, 8

Admittedly, the clinical inference we can make from these observational data is weak. But in the

absence of stronger evidence from randomized trials, it is sufficient to inform clinical practice.

Some of the most exciting recent developments in the world of critical care nutrition are the

emerging evidences that our nutritional practices may impact the physical recovery of critically ill

patients. A recent study found that IV amino acids in ICU patients improved protein balance and

stimulated an anabolic response.9 This suggests that our nutritional strategies may be used to

preserve muscle mass and muscle function although data supporting this assertion is just

accumulating. Such data include a small RCT demonstrating that greater protein intake is associated

with improved pulmonary function in ICU patients with chronic obstructive pulmonary disease

(COPD).10 In addition, a long-term follow up study of patients enrolled in a randomized trial was

conducted investigating physical function using the Short-form 36 health status measure at 3 and 6

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months.11 It was demonstrated that for every 25% increase in nutritional intake,

surviving patients had a higher physical function or better physical

recovery that was statistically significant at 3 months. At 6 months, the improvements with better

nutritional intake were still present and clinically important but lost statistical significance.

4.1.3 Is it More Calories that Matter or More Protein?In another recent analysis using the same INS data mentioned above, meeting protein requirements

was found to be more important than meeting caloric requirements.6 When caloric intake was

controlled for, a significant reduction in associated mortality was still seen when more than 80% of

protein requirements are delivered compared to less than 80% (Odds Ratio [OR] for 60 day

mortality, 0.68 and 95% Confidence Intervals [CI]: 0.50, 0.91). In contrast, when protein

administration was controlled for, there was no incremental effect of increased caloric

administration (OR 0.89; 95% CI 0.71, 1.12). Whilst the inference is weak from this statistical

modelling, it is consistent with other observational studies that show an association between protein

optimization and survival, but a negative or absent effect of caloric intake.12, 13

In contrast to the prevailing data, some observational studies have reported that adverse patient

outcomes were associated with higher protein intake. In an elegant cohort study that carefully

examined muscle outcomes using imaging techniques, Puthucheary and colleagues concluded that

increased protein delivery was associated with increased muscle wasting.14 In a post-hoc analysis of

The Early vs. Late PN trial,15 investigators showed an association with increased protein intake and

lower likelihood of early ICU discharge.16 These investigators go on to postulate the mechanism of

harm, that exogenous protein inhibits autophagy, a key cell survival strategy and recommend

systematic underfeeding for the first 7 days of critical illness,17 including publishing such statements

in high profile journals, such as the New England Journal of Medicine.18 Finally, others have

published an additional post-hoc analysis of a small randomized trial of aggressive nutritional

interventions compared to usual care and demonstrated that the amount of protein received in the

first week was associated with a significant increased risk of death.19 Whilst these observations are

hypothesis-generating analyses, they are significant in that they suggest a significant harm

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associated with increased protein and further contribute to the uncertainty

about the role of protein in critical illness.

4.1.4 What do the RCTs demonstrate?As part of the development of the Canadian Clinical Practice Guidelines, the literature is

systematically reviewed from 1980 looking for all RCTs related to critical care nutrition topics. To

date, the data set is sparse. There are only 5 RCTs of ICU patients randomized to high versus a lower

protein intake. These trials are summarized in Table 1 in Appendix 1. The trials vary in sample size

(20-470), methodological quality (7-10), year of publication (1985-2016) and the outcomes assessed.

Because of the heterogeneity of outcome assessment and incomplete data sets, only the effect of

higher protein dosing on mortality (Risk Ratio 0.89, 95%CI 0.66-1.19, P=0.42, see Figure 1 in

Appendix 1) was able to be aggregated. Thus the RCTs in the field, which are few and of varying

quality and significance, do not settle the controversy about the optimal role of protein delivery.

4.1.5 Summary of Background Trials to DateDespite provocative results from observational analyses, and the intuitive nature of the hypothesis

related to supporting metabolism with adequate nutritional substrates, large-scale randomized trials

examining the effect of increased EN intake have not provided supportive evidence. Why might that

be? First, these trials have focused on increased amounts of calories, not protein. Protein dose was

either kept the same20 or not reported21 but regardless, prescribed amounts were well below

recommended amounts noted above. Second, not all clinically important outcomes were reported.

Short-term mortality may not be the best outcome used to evaluate the effect of increased protein

administration. In fact, we posit that measures of muscle mass or function or patient-based

performance measures (such as the 6 minute walk test) may be more sensitive to differential

amounts of protein intake. Of note, the EDEN study21 compared goal feeding with trophic feeding,

and demonstrated no difference in short term outcomes; however, better fed patients had a trend

towards improvements in long-term physical functional performance (6 minute walk test) at one

year.22 A large scale trial of supplemental parenteral nutrition in the context of a relative EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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contraindication to enteral nutrition also showed a significant improvement in

60-day quality of life.23 Yet, a large scale trial of IV amino acids infusing up to 2.0

gram/kg/day in over 400 ICU patients did not result in any impact in patient-reported outcomes

(mortality or quality of life).24

4.1.6 Nutrition Risk Assessment in the Critically IllWe propose that the conflict between observational and interventional studies can, in part, be

resolved using our nascent understanding of nutrition risk assessment in the critically ill. Large-scale

RCTs may have failed to demonstrate an impact of different amounts of nutrition intake because

they enroll heterogeneous patient populations of varying nutritional risk, not all of whom will

respond to optimal nutrition intake. We posit that not all critically ill patients are the same in terms

of their nutritional risk. The evidence for this assertion comes from studies that demonstrate a

differential treatment effect of artificial nutrition in different subgroups of ICU patients.7, 25, 26

So how do we begin to approach determining ‘nutritional risk’ in the critical care setting?

Conceptually, nutrition status in ICU patients will be a function of both undernourishment and

inflammation, both of which occur in the acute and chronic setting. Using this conceptual model,

Heyland and colleagues developed and validated the NUTRIC score which was designed to identify

critically ill patients that would have the greatest benefit from optimizing nutrition intake. 27 The

NUTRIC score considers the patient’s age, Acute Physiology And Chronic Health Evaluation (APACHE)

II Score, Sequential Organ Failure Assessment (SOFA) Score, number of comorbidities, time in

hospital prior to ICU admission, and interleukin-6 levels in developing an understanding of which

patients will benefit the most from artificial nutrition therapy. The NUTRIC score is also now

validated without the IL-6 level.28 In three distinct analyses from three separate databases, we have

shown that patients with high NUTRIC scores are less likely to die if they received closer-to-goal

calories or protein, when compared to low NUTRIC score patients where there is no relationship

between nutrition intake and outcome.29-31 In addition, the NUTRIC score has been validated by

independent investigators in Asian, Brazilian and Portuguese populations.30, 31 In contrast, Arabi and

colleagues recently published a post-hoc analysis of the PERMIT trial, where patients were

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randomized to different levels of caloric intake and they analyzed the effect with

high vs. low NUTRIC groups of patients.32 Consistent with the overall results of

the PERMIT trial,20 they did not demonstrate any differential effect of caloric intake in high vs. low

NUTRIC patients. While the analysis was underpowered (as evidenced by very wide confidence

intervals around point estimates), we point out that protein intake was the same in all patient

groups and as noted above, protein intake is probably more important than caloric intake.

Clearly definitive proof from prospective RCTs evaluating different levels of protein intake in

nutritionally high-risk patients is lacking. Moreover, based on the arguments for and against higher

dose of protein administration, there is clinical equipoise or uncertainty about the optimal dose of

protein in ICU patients. Hence, we believe a trial, such as the EFFORT trial, that evaluates the effect

of high protein intake in high nutritional risk critically ill patients is warranted.

4.2 How will the results of this trial be used?Positive, neutral, or negative, the results of the EFFORT study will inform the clinical practice in ICU

settings around the world. If positive, because of the pragmatic, multicentre nature of this trial,

results will be broadly applicable to all critically ill patients worldwide. If the results are negative, we

need to ensure that patients no longer receive high-dose protein/amino acid admixtures. If the trial

is neutral or shows no overall effect on mortality or time-to-discharge alive, this will prompt our

clinical research community to explore the effect of high protein on specific subpopulations or on

other outcomes (such as functional outcomes).

As it relates to critical care nutrition practice in general, we have a long history of practice-changing

initiatives. We have a process of synthesizing (in the form of evidence-based clinical practice

guidelinesi) and disseminating best practice ideas (in the form of web-based repository of tools and

information [see www.criticalcarenutrition.com]). In addition, several large cluster RCTs33-35 to

introduce system-changing practices in ICUs in North America and several large scale quality

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improvement audits of practice to define current practice have been undertaken

by the lead research group.36, 37

Over the past several years, we have discussed this program of research with leaders of the

American Society of Parenteral and Enteral Nutrition and this specific protocol at the annual Clinical

Nutrition Week with society leaders, researchers, and the clinical nutrition community at large. We

have formally partnered with ASPEN to further facilitate both our recruitment initiatives and,

importantly, our knowledge translation initiatives. These efforts will increase the likelihood of the

uptake of EFFORT results across the world.

5 Trial objectives and purpose

5.1 Trial hypothesisCompared to the control group, the administration of a higher dose of protein/amino acids (a

consequence of having a higher prescription) to nutritionally high-risk critically ill patients will be

associated with improved survival and a quicker rate of recovery.

5.2 Primary objectiveTo determine the effect of prescribing a higher dose (>2.2 grams/kg/day) of protein/amino acids

compared to a lower dose (<1.2 gram/kg/day) on 60 day mortality in critically ill patients with

nutrition ‘risk factors’.

5.3 Secondary objectivesIn critically ill patients with nutrition ‘risk factors’, to determine the effect of prescribing a higher

dose (>2.2 grams/kg/day) of protein/amino acids compared to a lower dose (<1.2 gram/kg/day) on

Time to discharge alive from hospital

Hospital mortality

Duration of mechanical ventilation

ICU stay

Hospital stayEFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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6 Study design & Flowchart

6.1 Study DesignThis is an international, multicenter, pragmatic, volunteer-driven, registry-based, randomized,

clinical trial of 4000 nutritionally high-risk critically ill patients. Given the large sample size across

numerous participating units, we have adopted a pragmatic philosophy in developing this trial

protocol.

The registry-based randomized controlled trial design was chosen to capitalize on data collected

routinely for the INS. With this approach, patients who are entered into an existing registry and

meet pre-specified enrollment criteria will be randomized to a treatment; the screening, data

capture, and outcomes measures are already collected by the existing registry. This strategy allows

investigators to control costs, focus on patient recruitment, and benefit from the power of

randomization to draw the strongest possible conclusions about causation. One notable example of

the RRCT method is the TASTE trial examining the use of thrombus aspiration in ST-segment

elevation myocardial infarction.38 This study benefited from massive cost savings (relative to

traditional RCT) and rapid recruitment, with investigators enrolling more than 7000 patients from 29

sites – about 60% of those who were eligible – in less than three years. By contrast, the

conventionally ran TOTAL RCT asking the same question needed three times as many study sites and

an extra year to enroll some 10,700 patients.39 Reassuringly, both TASTE and TOTAL arrived at the

same conclusion, namely that thrombus aspiration did not confer a significant benefit.

Within 96 hours of admission to the ICU, eligible patients will be randomized to receive either

≥2.2g/kg/day protein / amino acids or ≤1.2g/kg/day protein / amino acids. The patient will remain in

the randomized group for the duration of their ICU admission, unless clinically required otherwise.

Nutrition can be provided either enterally, parenterally or via both routes.

Currently, protein prescriptions for critically ill patients range from 0.5-3.8 g/kg/d and at a site level,

from 0.8-2.6 gm/kg/day. There is an insufficient evidentiary basis to establish which level of protein

administration is right for which patient population. We will take usual practices and create 2 groups

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randomizing eligible patients to a lower prescription (<1.2 g/kg/d) or to a higher

prescribed protein intake (>2.2 g/kg/d).

Data will be collected daily and entered into the secure electronic database (REDCAP). These data

points include: admission category (surgical vs. medical), diagnosis, comorbidities, sex, age, height,

weight, baseline APACHE II score, SOFA score. In addition, we will extract data on the nutrition care

provided such as: nutrition prescription (protein and calories), recent weight loss or food intake

changes, type of nutrition, received, amount of nutrition received (protein and calories), blood sugar

levels, lowest phosphate level, use of pro-kinetics, and use of supplements. This daily data will be for

12 days except protein intake, which will continue for duration of ICU stay (maximum of 28 days).

Finally, duration of mechanical ventilation, length of ICU and hospital stay, ICU readmissions, and

hospital mortality will also be recorded.

As per usual clinical routines, patient clinical status will be monitored daily during the ICU stay. Once

discharged from intensive care unit, patients will no longer be followed daily but hospital outcomes

will be abstracted from the chart. The maximal duration of follow up for patients in this trial is 60

days or hospital discharge, whichever comes first. For patients remaining in hospital at 60 days,

outcomes will be censored at that point.

6.2 FlowchartScreen Visit1

Day 11 Day 2 Day 3 Day 4 Day 5 up to ICU discharge

Patient information and informed consent

X

Nutrition Screening xRandomisation xNutrition assessment2 xIndividualised nutrition prescription2

x

Delivery of the intervention x x x x xData collection x x x x x

1Within 96 hours of admission to ICU

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2May be undertaken on multiple days over the intervention period pending individual patient requirements.

7 Subject selectionIt is expected that 100 International sites and approximately 15 sites within the United Kingdom will

participate in the study. Using data from previous INS’s, participating sites have required 5-8 months

to recruit a minimum of 20 eligible participants. However, the INS identifies eligible participants

retrospectively. Given that EFFORT is prospective and the inclusion criteria has been modified, a

lower rate of recruitment is expected. Recruitment rate for EFFORT has therefore been estimated at

0.5-1.0 patients per month per sire or 6-12 patients per site per year. Sites are expected to

contribute a minimum of 30 participants and therefore we will allow 3 years for recruitment.

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7.1 Subject inclusion criteriaCritically ill patients will be eligible if they meet the following criteria (Table 1):

Adult (>18 years old)

Mechanically ventilated and expected to remain so for an additional 48 hours from screening

Strong command of written and spoken English

Have one or more of the following risk factors that make them at high nutritional risk:

1. Low (<25) or High BMI (>35)

2. Moderate to severe malnutrition (as defined by local assessments). The means by

which sites are making this determination and elements of the assessment (history

of weight loss, history of reduced oral intake, etc.) will be collected.

3. Frailty (Clinical Frailty Scale 5 or more from proxy)

4. Sarcopenia- (SARC-F score of 4 or more from proxy)

5. From point of screening, projected duration of mechanical ventilation >4 days

7.2 Subject exclusion criteria

Exclusion criteria are (Table 1):

>96 continuous hours of mechanical ventilation before screening

Expected death of withdrawal of life-sustaining treatment within 7 days from screening

Pregnant

The responsible clinician feels that the patient needs either low or high protein

Patient requires parenteral nutrition only and site does not have products to reach the high protein dose group.

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Table 1. Inclusion and Exclusion Criteria for Study Entry

Inclusion Criteria Exclusion Criteria Rationale for Exclusion

1. >18 years old

2. Nutritionally ‘high-risk” (meeting one of above criteria)

3. Requiring mechanical ventilation with actual or expected total duration of mechanical ventilation >48 hours

1. >96 continuous hours of mechanical ventilation before screening

Intervention is likely most effective when delivered early

2. Expected death or withdrawal of life-sustaining treatments within 7 days from screening

Patients unlikely to receive benefit

3. Pregnant Unknown effects on fetus

4. The responsible clinician feels that the patient either needs low or high protein

Uncertainty doesn’t exist; patient safety issues

5. Patient requires parenteral nutrition only and site does not have products to reach the high protein dose group.

Unable to provide the intervention adequately

8 Study procedures

8.1 Subject recruitmentPatients will be screened, evaluated, and randomized within 96 hours of admission to the ICU.

As potential participants will not be able to consent for themselves due to the nature of critical

illness, their personal consultee (usually next of kin) will be approached by a member of the research

team. If there is no personal consultee, a professional consultee (usually a consultant not directly

involved in the study) will be approached to make a decision regarding study participation on the

patients behalf. Personal or professional consultees will be given adequate time to review the

information sheets provided and ask questions before signing the agreement form. Only members of

the research team who have undergone the appropriate GCP training will be able to seek agreement

from potential participants’ personal or professional consultee.

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Once participants have regained capacity, they will be asked to consent to their continuation in the

study. The study rationale and conduct will be explained to them outlining any interventions which

have already been undertaken as well as those that are still required.

8.2 Screening Procedures On admission to the ICU, patients will be screened for eligibility (criteria outlined above) by a

member of the research team. Screening procedures will involve use of one (or more) of the

nutrition screening tools as follows:

1. Low (<25) or High BMI (>35)

2. Moderate to severe malnutrition (as defined by local assessments). We will document

the means by which sites are making this determination and capture the elements of the

assessment (history of weight loss, history of reduced oral intake, etc.).

3. Frailty (Clinical Frailty Scale 5 or more from proxy)

4. Sarcopenia- (SARC-F score of 4 or more from proxy)

5. From point of screening, projected duration of mechanical ventilation >4 days

The assessment of nutrition risk can be undertaken by a member of the research team or the ICU

dietitian.

8.3 Randomization Procedures Once patients have been deemed eligible for entry into the study, a member of the research team

will log on to the web-based randomization system at the Clinical Evaluation Research Unit

(http://www.ceru.ca/) at Kingston General Hospital to randomize patients. The system will confirm

eligibility prior to allowing randomization. The system will then provide the site representative with

the treatment assignment (either low dose group or high dose protein) along with a reminder of the

caloric targets to be used in this trial. The randomization system, which has proven reliable in several

prior RCTs, has a robust audit trail, and will maintain concealment of future allocations.

The randomization system will use a computer generated randomization schedule allocating patients

1:1 to either control group or high dose protein by the method of permuted blocks of random

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undisclosed size within strata. Randomization will be stratified by site. Given the large pragmatic

nature of the trial, we will not stratify by additional factors.

Patients will remain on the assigned study intervention for the entire duration of their ICU stay. If

enrolled patients leave the ICU and return later during that hospitalization, the same treatment

group will be applied.

8.4 Masking & other measures taken to avoid bias

8.4.1 MaskingGiven the nature of this pragmatic trial, it will not be possible to blind clinicians with the exception

that future allocations will be concealed, as explained above. However, we expect patients to be

unaware of their treatment assignment.

8.4.2 Other measures taken to minimise / avoid biasConsistent with the pragmatic stance of this protocol and, in an effort to maximize generalizability of

the trials’ findings, we will not make efforts to standardize other key co-interventions aside from

providing guidance on caloric dosing. However, we will capture key nutrition process of care issues

in our minimalistic data collection strategies.

8.5 Schedule of Treatment for each visit Screening (within 96 hours of admission to the ICU)

1. Confirm eligibility via review of medical records against inclusion and exclusion criteria +/- discussion with consultant intensivist

2. Perform nutrition screening using one or more of the tools listed in section 8.1

3. Discuss study with personal or professional consultee and provide appropriate information sheets

4. Obtain agreement from personal or professional consultee with signatures on declaration forms

5. Randomize via electronic system

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Day 1 (within 96 hours of admission to the ICU)

1. Nutrition assessment (see 9.5.1 below) undertaken by the ICU Dietitian, including calculation of protein and energy targets

2. Prescribe enteral and / or parenteral feed to meet energy and protein targets (see 9.5.1 below)

3. Administer enteral and / or parenteral feed

4. Collect data and enter into electronic database

Day 2 until ICU discharge

1. Administer enteral and / or parenteral feed to meet energy and protein targets

2. Nutrition assessment (see 9.5.1 below) to re-calculate nutrition requirements +/- adjust enteral and or / parenteral feed as required to meet >80% of set targets

3. Collect data and enter into electronic database

4. Assess patient suitability for retrospective consent and obtain if appropriate

Day 2 until hospital discharge

1. Assess patient suitability for retrospective consent and obtain if appropriate

Day 60

1. Collect mortality data and enter into electronic database

8.5.1 Nutrition assessment A full nutrition assessment should be undertaken at the first available opportunity once eligible

patients have been identified (but within 96 hours of admission to the ICU). This should include

calculation of both energy and protein targets and a prescription to meet these targets.

Further nutrition assessment should occur as per usual practice or when the participant’s clinical

condition changes, but this should not be less than once per week.

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8.5.1.1 Protein targetsEligible participants will be randomized into one of two groups: either ≥ 2.2g/kg/day protein / amino

acids or ≤ 1.2g/kg/day protein / amino acids. In both groups, protein targets will be set using pre-

ICU dry actual weight. For patients with BMI >30, ideal body weight based on a BMI of 25 will be

used.

Where a pre-ICU dry actual weight is not available, family members should be asked to recall the

participant’s weight or an estimation should be used. The method will be recorded in the case report

form (CRF).

8.5.1.2 Energy targetsAlthough this trial is not about caloric dose, we encourage participating clinicians to be conservative

in meeting energy targets and avoid overfeeding. For the purposes of this trial, we endorse the

guidelines for energy targets set forth by ASPEN/SCCM, especially as it pertains to the obese

patient.40

For non-obese patients, we suggest that their caloric prescription be around 25 kcal/kg/day (+ 5

kcal/kg/day) using a simple weight based formula. However, sites can choose to use a more

sophisticated equation or indirect calorimetry if it is available.

For obese patients, if indirect calorimetry is used, the goal of the nutritional prescription should be

to provide energy not to exceed 65%–70% of measured requirements. If indirect calorimetry is

unavailable or not used, consistent with the American guidelines,40 we suggest using the weight-

based equation 11–14 kcal/kg actual body weight per day for patients with BMI in the range of 30–

50 and 22–25 kcal/kg ideal body weight per day for patients with BMI >50.

8.5.1.3 Delivery of the interventionIn both groups, targets can be achieved through any combination of enteral nutrition (high protein

content if available), protein supplements, and parenteral nutrition or amino acids only (as clinically

available). Similar efforts should be used in both groups to achieve at least 80% of these targets. The

use of supplemental parenteral nutrition (SPN), intravenous amino acids and post-pyloric feeding in

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order to optimise nutrition delivery will be determined on an individual basis by

the clinical team as per usual practice.

The remainder of care provided to eligible patients will be at the discretion of ICU providers.

8.5.1.4 Duration of the interventionParticipants will continue with the assigned intervention for the duration of their ICU admission. If

enrolled patients leave the ICU and return later during that hospitalization, the same treatment

group will be applied.

In addition, if the participant transitions to oral intake during their ICU admission, the intervention

and daily nutrition data collection will cease.

8.6 Follow up ProceduresAs per usual clinical routines, participant clinical status will be monitored daily during the ICU stay.

Once discharged from intensive care unit, participants will no longer be followed daily but hospital

outcomes will be abstracted from the medical records. The maximal duration of follow up for

participants in this trial is 60 days or hospital discharge, whichever comes first. For participants

remaining in hospital at 60 days, outcomes will be censored at that point.

8.7 End of Study Definition The end of the study is defined as the time that the 60-day mortality data for the last patient is

entered into the electronic database.

9 Assessment of SafetyGiven the nature of this trial of two different protein dosing strategies with the usual care practice in

critically ill patients and that no pharmaceutical or investigational device are being studied, we will

only report complications considered by the site PI to be related to study procedures. As many

deaths are expected in this study population and since we are capturing deaths as our primary

endpoint, we will not report these events. Loss of confidentiality represents a risk of this study and

we will report any loss of confidentiality event to R&D. Typical complications of feeding critically ill EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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patients and events considered to be a usual part of the course of critical illness

will not be reported. Such events can be found in Appendix 2. The Data

Monitoring Committee will provide a third-party assessment of all interim analyses and an

assessment of the scientific literature as it evolves over the duration of the trial.

9.1 Trial Steering Committee The day to day management of the international trial will be undertaken by the Clinical Education

Research Unit (CERU) under the supervision of Dr Daren Heyland. Staff at CERU form the Executive

Committee.

The Trial Steering Committee consists of the following multidisciplinary and ASPEN board members:

Name Title Country Institution

Daren Heyland CERU Director, MD Canada Clinical Evaluation Research Unit

Margot Lemieux Project Leader, RD Canada Clinical Evaluation Research Unit

Charlene Compher PhD, RD USA University of Pennsylvania

Nilesh Mehta MD USA Boston Children’s Hospital

Todd Rice MD, MSc USA Vanderbilt University

Gordon Sacks PharmD USA Auburn University

Roseann Nasser MSc, RD Canada Regina Qu’Appelle Health Region

Heidi Nixdorf RD Canada Credit Valley Hospital

Danielle Bear RD, MRes UK Guy’s and St Thomas’ NHS Foundation Trust

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The Trial Steering Committee are a multidisciplinary group of critical care

nutrition experts who will provide guidance, advice, and oversight of the study.

Collectively with the Executive committee, they will provide specific scientific and operational input

on a regular basis. As needed, we also plan to constitute a Stakeholder Committee to obtain input

from a broader group of stakeholders (such as regional or national nutrition societies, basic

scientists, key opinion leaders, industry liaisons, etc.).

9.2 Ethics & Regulatory ApprovalsState the name and address of the REC to which the study protocol and other documentation will be submitted.

10 Compliance and withdrawal

10.1 Subject complianceIt is expected that participants will receive >80% of their target energy and protein prescription. This

will be monitored by ICU dietitians as part of their usual nutrition review and assessment. The

amount of energy and protein received will be recorded in the electronic database. Data collected to

confirm compliance will include nutrition prescription (protein and calories), type of nutrition, and

amount of nutrition received (protein and calories).

On nutrition assessment, if a participant is found to not be meeting >80% of energy or protein

intake, strategies commonly used in clinical practice may be used to rectify this. Such strategies

include, but are not limited to:

Use of high protein enteral feeds

Protein supplements

‘Catch up’ or ‘volume based’ feeding

Intravenous amino acids

Supplemental / total parenteral nutrition

Post-pyloric feeding

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10.2 Withdrawal / dropout of subjects

Participants have the right to withdraw from the study at any time for any reason. The investigator

also has the right to withdraw participants from the study for any other reason. It is understood by

all concerned that an excessive rate of withdrawals can render the study un-interpretable; therefore,

unnecessary withdrawal of participants should be avoided.

Should a participant decide to withdraw from the study, all efforts will be made to report the reason

for withdrawal as thoroughly as possible. Should a participant withdraw from study intervention

only, their permission will be sought to use the study data already collected and to obtain follow-up

data.

10.3 Protocol Compliance Compliance with the protocol will be measured centrally by CERU and reported back to the sites

periodically. As we will be analysing on an intention to treat basis, we will not be specifically

reporting under dosing of nutrition to R&D as a serious breach of the protocol.

11 Data

11.1Data to be collected

A secure web-based data collection tool will be used to capture all relevant de-identified data. Each

site will be asked to enter the characteristics of their hospital and ICU plus general aspects of

nutrition practice (e.g. use of feeding protocol or algorithms).

For randomized patients, members of the research team will be asked to extract data on the

personal characteristics and clinical condition of participants from the medical records. These data

points include: admission category (surgical vs. medical), diagnosis, comorbidities, sex, age, height,

weight, baseline APACHE II score, SOFA score. In addition, data will be collected regarding the

nutrition care provided such as: nutrition prescription (protein and calories), recent weight loss or

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food intake changes, type of nutrition, received, amount of nutrition received

(protein and calories), blood sugar levels, lowest phosphate level, use of pro-

kinetics, and use of supplements. This daily nutrition data will be for 12 days except protein intake,

which will continue for duration of ICU stay (maximum of 28 days). Finally, duration of mechanical

ventilation, length of ICU and hospital stay, ICU readmissions, and hospital mortality will also be

recorded.

11.2 Data handling and record keeping

11.2.1 Data collection and recording

Each site will be responsible for data collection and data entry into the electronic database

(REDCap). Members of the research team will have the option of first collecting data onto paper

CRFs before entering online, or entering directly online.

Each member of the research team who is responsible for randomization and data entry will receive

a unique username and password to access REDcap.

11.2.2 Data quality and validityThe database (REDCap) has a built-in query system that checks for missing fields, values outside of a

given range and inconsistencies across fields. In addition, CERU staff will perform a limited amount

of remote source data verification.

11.2.3 Data securityAll data will be collected and stored in accordance with the Data protection act 1998.

Upon randomization, a study code will be assigned to the participant. No identifying data will be

entered into REDCap. Only the research staff at the site, the sponsor and the study staff at the

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Clinical Evaluation Research Unit will know the participants unique study code.

The information linking the participant to their study code will be kept at each

site and is never entered in the electronic data capture system or sent by mail to the sponsor or

CERU. The master patient list at each site will be kept on password protected NHS computers in a

password protected file.

Only authorized users will have access to enter data and they will be assigned a unique user name

and password. The address of all attempts to access the server, successful or otherwise, will be

logged. An SSL secure connection will be used for the website. This prevents network traffic between

a user and the server from being read by malicious third parties. The study site, and the study staff at

the Clinical

Evaluation Research Unit will have access to the study data through the Electronic Data Capture

System (EDCS).

In addition, all information in the EDCS will be password protected, encrypted and stored in a secure

area at Queen’s University Computing Facility. The server is on a private network at Queen’s

University, only accessible through specifically created portals.

Communication between each user's web browser and REDCap is secured using 256 bit encryption

via HTTPS connection. Data access groups are used within REDCap to segregate data by site so that

users may only view and/or edit data that has been entered under their data access group. The

ability to export REDCap data is restricted to only CERU IT and statistical staff. Access to the MySQL

database that houses the REDCap data is restricted only to CERU IT staff via SSH on a secure VPN

connection.

11.2.4 Record retention and archivingDuring the course of the study, all paper or electronic records kept with participant details (eg. paper

CRFs, consent forms and master participant lists) are the responsibility of the Principal Investigator

at each site and will be kept in secure conditions (eg. on password protected NHS computers and in EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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password protected files. Hard copies will be kept in locked offices). When the

study is complete, the records will be kept at each site for a further 5 years, as

per Research Governance Framework and Health Board Policy.

Study data entered in REDCap will be linked with the International Nutrition Survey data and used

for both primary and secondary manuscripts. These data may be accessed for future research and /

or manuscripts.

12 Statistical considerationsThe statistician for the trial is Andrew Day, located at the CERU in Kingston, Ontario, Canada.

12.1 Sample size calculation We aim to enrol 4000 patients in this trial examining the impact of different protein dosing

strategies on 60-day mortality. From 2007-2014, the average 60-day mortality for all patients

included in the INS

(>20,000 subjects) was 25%. We expect a higher rate given we are selecting out patients with

nutrition risk factors, which may also increase their mortality.

For the sample size calculation, we assume a 30% 60-day mortality in the lower dose group. Given

the pragmatic nature of this RCT, we feel we have to acknowledge that the signal, relative to the

noise, will be reduced. Hence, we need to have a sample size large enough to detect these smaller

treatment effects. Assuming an alpha error of 0.05, to have 89% power to detect a 15% relative

risk reduction (Absolute risk reduction of 4.5%), we would require 2000 patients per group. Table

in Appendix 3 shows the ‘n’ per arm under various assumptions and demonstrates that the sample

size will be adequate to maintain >80% power to detect a 15% RRR over a plausible range of baseline

rates.

With an overall sample of 4000 patients, we would have 90% power to detect an improvement in

time to discharge alive if the odds of a random person in the treatment arm having an earlier

discharge time was 1.13 times the odds of a person in the control arm. To put this sample size in

perspective, every year we host the INS, we get >200 ICUs worldwide contribute around 4000

patients per cycle. We feel this sample size is both realistic, given the large-scale, multinational, EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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pragmatic nature of trial and yet is grounded in adequate scientific and statistical

principles. Based on our prior experience with the International Nutrition Survey

we expect loss to follow-up for the primary and secondary outcome to be trivial.

12.2 Recruitment rateIn prior INS’s, participating sites have needed 5-8 months to recruit a minimum of 20 eligible

patients. However, those patients were identified retrospectively (those adult mechanically

ventilated patients that remained in ICU for more than 72 hours). In EFFORT, research teams will

have to identify potentially eligible patients prospectively. Moreover, we have modified the

inclusion/exclusion criteria such that only a select number of previously eligible patients may be

eligible. We expect it to take much longer for sites to identify qualifying nutritionally high-risk

mechanically ventilated critically ill patients. Hence, we estimate a site recruiting 0.5-1.0 patients per

month or 6-12 patients per year. With a minimum of 30 patients required per site, we will allow for 3

years of recruitment.

12.3 Statistical analysis

The primary analysis of 6-month mortality will be compared between arms using the Chi-square for

two independent proportions. A secondary analysis will employ the generalized mixed effects model

with a random site effect. This will provide a within site interpretation of effect, will allow us to

explore between site heterogeneity and will meet regulatory guidance suggesting that site be

incorporated in a sensitivity analysis if it is not used for the primary analysis. ii,iii,iv 57, 58,59

The secondary outcome of this study is time to live discharge from hospital. Patients who die prior

to hospital discharge will be treated as never being discharged from hospital by censoring them at

day 61 (after last follow-up). The primary analysis will use the log-rank test. Since the log-rank test is

rank based, the actual time value we assign to decedents is unimportant; they are simply considered

worse (higher rank) than any patients discharged by 60 days. We expect minimal loss to follow up

prior to hospital discharge, but if loss to follow up does occur due to hospital transfer or other

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reasons, patients will be censored at the last time known to be in the hospital. A

secondary analysis will use a

shared frailty model to incorporate site as a random effect. The methods used for the primary

(excluding the interim analyses) and secondary outcome will be applied to the binary and time-to-

event tertiary outcomes respectively. In accordance with the intent-to-treat principle, the analysis

will include all patients in the arm to which they were randomized regardless of study compliance.

Based on our substantial prior experience with this population we expect minimal missing data.

However, details of missing data will be provided and if we have more than 1% missing we will

perform a sensitivity analysis using a graphical pattern mixture tipping point approach

demonstrating the treatment effect over the possible range of missing outcomes.41, 42

12.4 Interim analysis We plan to conduct one formal interim analysis with early stopping guideline after the 60-day

mortality status is known for 2000 patients. We propose to use the alpha spending approach of Lan

and DeMets with O’Brien-Fleming type boundaries. 43, 44 This interim analysis would suggest

stopping the study early if a two-side p-value of 0.003. To maintain the overall type I error rate of

the study at 0.05, we will perform the final analysis at a nominal alpha of 0.049. This interim analysis

has a trivial

(less than 1%) effect on the overall power of the study. Using this rule and assuming a 30% mortality

rate in the control arm, the study would be stopped at the interim if a 6% absolute difference in

mortality was observed between arms.

12.5 Sub-group analysisWe will perform a pre-specified subgroup analysis based on baseline NUTRIC score, as previously

explained. In addition, we plan to evaluate the treatment effect within sub-populations of our

enrolled patients (burns, trauma and BMI>30), depending on the numbers of patients in each of

these subgroups. Finally, we will consider the effect of multiple nutrition risk factors vs. just one on

magnitude of the treatment effect. The statistical significance of apparent effect modification will be

assessed by testing a treatment by covariate interaction term using logistic regression for mortality

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and Cox PH model for time to discharge alive. Due to the increased risk of type I

and type II error, subgroup specific inferences will be considered exploratory and

hypothesis generating. Subgroup specific effects will be presented by forest plots.

12.6 Data monitoringA Data Monitoring Committee (DMC) will be established for the study. The overall purpose of the

DMC will be to ensure the protection of human subjects and to maintain trial integrity. They will be

responsible for reviewing any SAEs that are reported and to make recommendations regarding the

ongoing safety of the trial.

12.6.1 Monitoring, quality control and assuranceAudit and Inspection may be carried out by the Canadian research team to determine whether the

trial related activities are being conducted, and the data recorded, analysed and accurately reported

according to the protocol, sponsor's standard operating procedures (SOPs), Good Clinical Practice

(GCP), and the applicable regulatory requirement(s).

Interim monitoring activities will be done remotely or on site and will include:

Monitoring on an ongoing basis through the REDCap query system and regular reports.

Monitoring the first 2 patients enrolled at every site on high priority data element

If sites are identified as being “high risk” during the trial, remote monitoring will be

conducted on an ad hock basis.

Interim monitoring will involve source data review (SDR), which includes reconciliation of data

entered into the CRF with source documentation resulting in document review to confirm correct

implementation and conduct of study procedures. The monitor delegate will source verify data

elements considered to be high priority for at least two patients at each site (either the first 2

patients or two picked randomly). If source documents for either of the selected subjects are not

available at the time of the visit, an alternative patient will be chosen.

The site’s study leaders will provide the following to the monitor delegate:EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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Medical chart pages showing requested data

o Requested data may vary by patient/site depending on the

reason for monitoring. Any data sent electronically for source monitoring will be

anonymysed.

Reports of SAEs for the selected subjects.

Calorie and protein breakdown of the enteral formulas received by selected subjects.

Any updated ethics approvals (ie. annual approval, amendment approval, etc)

Data entered into the EDCS will be verified against source documents. In addition, any data

identified in the source documents that are found to be missing in the EDCS will be discussed with

the staff and entered into the EDCS.

13 Ethical considerationsThe trial will be conducted in compliance with the principles of the Declaration of Helsinki (1996),

the principles of GCP and in accordance with all applicable regulatory requirements including but not

limited to the Research Governance Framework.

This protocol and related documents will be submitted for review to XXXXXX Research Ethics

Committee (REC). The Chief Investigator will submit a final report at conclusion of the trial to the REC

within the timelines they mandate.

13.1 Peer reviewThe study protocol has been reviewed and agreed by the ASPEN board of directors along with

selected experts in critical care nutrition.

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13.2 Informed consentAs this study involves adult patients who are unable to consent for themselves,

agreement to participate in the study will be sought from personal or professional consultees. Only

members of the research team who have undergone GCP training will be able to seek agreement. If

agreement from a professional consultee is sought, it is required that they are an independent

physician (e.g. not directly involved in the study). Their agreement will be sought by a GCP trained

member of the research team. See section 9.1 for specific details of the process.

14 Financing and InsuranceFunding has been provided from CERU to the lead site in the UK for set-up activities. There is no

additional funding available to participating sites.

Insurance / Indemnity for the trial is provided by the sponsor, Queen’s University, Kingston General

Hospital, Ontario, Canada.

15 Reporting and disseminationIt is intended that the results of the study will be reported and disseminated at international

conferences and in peer-reviewed scientific journals.

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Appendix 1 RCTs of High vs Low Protein and Amino Acids

Study Population Methods

(score)

Intervention Mortality # (%)

High protein Low Protein

Infections # (%)

High protein Low Protein

Mechanical Ventilation

High protein Low Protein

1) Clifton 1985**

Head injured patients

comatose for 24 hrs

N=20

C.Random: not sure

ITT: yes

Blinding: no

(8)

22% pro, 38 % CHO, 41 % fat, 1.5 Kcal/ml

(Traumacal) vs. 14 % pro, 50 % CHO, 36 % fat, 2.0

Kcal/ml (Magnacal) Isocaloric, 29 gm Nitrogen

vs.17.6 gms Nitrogen

3-month

1/10 (10)

3-month

1/10 (10)

3/10 (30) 2/10 (20) NR NR

2) Scheinkestel 2003**

Critically ill ventilated pts

on 6 days CRRT for

renal failure

N=50

C.Random: yes

ITT: yes

Blinding: no

(9)

1.5 g/kg/d protein x2 days, 2.0 g/kg/d protein x2 days and 2.5 g/kg/d protein x2 days while receiving CRRT vs 2.0 g/kg/d protein x6

days while receiving CRRT

ICU

9/40 (23)

ICU

4/10 (40)

NR NR NR NR

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3) Rugeles 2013

Medical adult ICU patients

N=80

C.Random: yes

ITT: no

Blinding: double

(7)

Hypocaloric hyperproteic (15 kcal/kg, 1.7 g/kg/d) x 7

days vs standard (25 kcal/kg, 20% calories from

protein).

28 day1*

11/40 (28)

28 day1*

12/40 (29)

NR1** NR1** 8.5 + 4.6 9.7 + 4.9

4) Doig 2015 Medical ICU adult patients

N=474

C.Random: yesITT: yes

Blinding: no(10)

IV aa infusion (Synthamin, Baxter, 100g/L) providing a

max 100 g aa/day. IV aa infusion was titrated to provide 2 g/kg/d of aa

from all nutrition sources.

ICU28/239 (11.7)

Hospital37/239 (15.5)

90-day42/236 (17.8)

ICU30/235 (12.8)

Hospital43/235 (18.3)

90-day47/235 (20)

NR2** NR2** 7.33 (7.0-7.68)

Mean + SD**

7.26 (6.94-7.61)

Mean + SD**

5) Ferrie 2016 Medical/Surgical ICU

adult patients

N=120

C.Random: yesITT: yes

(modified)Blinding: double

(10)

Patients on PN randomized to receive a

higher aa vs lower aa solution with a goal of 1.2 vs 0.8 g/kg/d aa from EN

and PN.

ICU8/59 (14)Hospital

12/59 (20)6 month

15/59 (25)

ICU6/60 (10)Hospital9/60 (15)6 month9/60 (15)

31/59 (53) 34/60 (57) 2.0 (1.0–3.0)3.68 + 6.173*

2.0 (1.0–5.0)5.87 +

14.273*

1 Response from author: 28 day mortality, Hyperproteic: 28%, Control: 29%. Other mortality by group: NR. Number of patients who developed infections, by group: NR2 Response from author: NR3 Response from author: Days mechanically ventilated, low aa: mean 5.87 (SD 14.27), higher aa: mean 3.68 (SD 6.17)EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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Study LOSHigh protein Low Protein

Physical and QOL OutcomesHigh protein Low Protein

Nutrition parametersHigh protein Low Protein

1) Clifton 1985**

NR NR Calories (kcal/kg/d)51 48

Grams nitrogen/day0.42 0.24

2) Scheinkestel 2003**

NR NR Calories per day2063 2095

Nitrogen balance-0.56 -4,5

3) Rugeles 2013

ICU9.5 + 5.5 days 10.4 + 5.0 days

Hospital4*19.5 + 6.5 days 20.5 + 5.0 days

NR Calories (kcal/kg/d)12 14Protein (g/kg/d)

1.4 0.76

4) Doig 2015 ICU11.6 (10.8 to 12.5) 10.7 (10.0 to 11.5)

Mean + SD5**Hospital

26.0 (24.2 to 28.0) 24.8 (23.0 to 26.6)Mean + SD5**

RAND-36 General Health, mean (SD)50.5 (27.2) (n=192) 52.8 (25.9) (n=180)

P=0.41ECOG, mean (SD)

1.31 (1.0) (n=192) 1.18 (1.0) (n=181)P=0.21

Diff (95% CI): -0.13 (-0.34 to 0.07)RAND-36 Physical, mean (SD)

47.7 (33.7) (n=192) 53.2 (33.0) (n=180)

P=0.11Diff (95% CI): 5.5 (-1.31 to 12.3)

Protein**

Significantly more protein during first 7 ICU days in intervention group

5) Ferrie 2016 ICU5.0 (3.0–8.0) 6.0 (3.8–10.0)

7.36 + 7.856* 5.87 + 14.276*

Hand grip strength at ICU d/c, kg18.5 + 10.4 15.8 + 10.3, P=0.054

% Expected Value

Kcal/kg/d in first 3 study days23.5 + 3.9 26.0 + 3.8

Kcal/kg/d in first 7 study days

4Response from author: Hospital length of stay, Hyperproteic: 19.5 +-6.5; Control: 20.5 +- 5.05 Response from author: mean and SD not available.EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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Hospital25.0 (16.8–41.3) 27.5 (18.8–55.8)38.31 + 35.906* 41.75 + 37.366*

51 45Hand grip strength at day 7, kg

22.1 + 10.1 18.5 + 11.8, P=0.025% Expected Value

62 52Fatigue Score at day 7

5.4 + 2.2 6.2 + 2.2, P=0.045Sum of 3 muscle sites on u/s at day 7, cm

8.4 + 1.0 7.9 + 1.1, P=0.02Forearm muscle thickness on u/s at day 7, cm

3.2 + 0.4 2.8 + 0.4, P=<0.0001Biceps muscle thickness on u/s at day 7, cm

2.5 + 0.6 2.4 + 0.4, P=0.21Thigh muscle area on u/s at day 7, cm2

6.8 + 2.1 5.8 + 1.9, P=0.02Leg circumference at day 7, cm35.9 + 4.3 35.9 + 4.4, P=0.98

23.1 + 3.9 24.9 + 4.2 grams/kg/d in first 3 study days

1.17 + 0.21 0.87 + 1.17grams/kg/d in first 7 study days

1.09 + 0.22 0.90 + 0.21

*Data/information was obtained directly from the author**Unable to obtain further data directly from the authorNR, not reported; LOS, length of stay; ICU, intensive care unit; ITT, intention to treat; C. random, concealed randomization; QOL, quality of life; u/s, ultrasound; d/c, discharge; SD, standard deviation; kg, kilograms; cm, centimeter; aa, amino acid; EN, enteral nutrition; PN, parenteral nutrition;

6 Response from author: ICU LOS, low aa: mean 5.87 (SD 14.75), higher aa: mean 7.36 (SD 7.85). Hospital LOS, low aa: mean 41.75 (SD 14.75), higher aa: mean 7.36 (SD 7.85).EFFORT Trial UK Protocol_V1_16Oct18 IRAS 230338

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Appendix 2: Non-exhaustive list of expected adverse events which do not require reporting

Abdominal distension

Abdominal pain

Electrolyte disturbance

Haemo-pneumothorax

Hepatomegaly

Hyperosmolar syndrome

Hypersensitivity reaction;(anaphylactic reaction)

Hypoglycaemia

Ischaemic bowel

Jaundice

Nausea requiring treatment

Pneumothorax

Raised liver enzyme(s)

Regurgitation/aspiration

Vascular catheter related infection

Vomiting.

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Appendix 3: Sample Size Justification

Relative Risk Reduction (1-RR) @

Control Group Event Rate (60-day Mortality)

25% 30% 35%

ARR

80%

Power

90%

Power ARR

80%

Power

90%

Power ARR

80%

Power

90%

Power

10% 2.50% 4, 548 6,087 3.00% 3,554 4,757 3.5% 2,844 3,806

15% 3.75% 1,984 2,655 4.50% 1,554 2,079 5.25% 1,247 1,668

20% 5.00% 1,094 1,465 6.00% 859 1,149 7.00% 691 924

25% 6.25% 686 918 7.50% 540 722 8.75% 435 582

30% 7.50% 466 624 9.00% 367 491 10.50% 297 397

ARR, absolute risk reduction; RR, relative risk;

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Appendix 4 – Information with regards to Safety Reporting in Non-CTIMP Research

TO CONFIRM WITH R&D AFER COLLABORATION AGREEMENT FINALISED

Who When How To WhomSAE Chief

Investigator-Report to Sponsor within 24 hours of learning of the event

-Report to the MREC within 15 days of learning of the event

SAE Report form for Non-CTIMPs, available from NRES website.

Sponsor and MREC

Urgent Safety Measures

Chief Investigator

Contact the Sponsor and MREC Immediately

Within 3 days

By phone

Substantial amendment form giving notice in writing setting out the reasons for the urgent safety measures and the plan for future action.

Main REC and Sponsor

Main REC with a copy also sent to the sponsor. The MREC will acknowledge this within 30 days of receipt.

Progress Reports

Chief Investigator

Annually (starting 12 months after the date of favourable opinion)

Annual Progress Report Form (non-CTIMPs) available from the NRES website

Main REC

Declaration of the conclusion or early termination of the study

Chief Investigator

Within 90 days (conclusion)

Within 15 days (early termination)

The end of study should be defined in the protocol

End of Study Declaration form available from the NRES website

Main REC with a copy to be sent to the sponsor

Summary of final Report

Chief Investigator

Within one year of conclusion of the Research

No Standard FormatHowever, the following Information should be included:-Where the study has met its objectives, the main findings and arrangements for publication or dissemination including feedback to participants

Main REC with a copy to be sent to the sponsor

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16 References

1. Fan E, et al. Physical complications in acute lung injury survivors: a two-year longitudinal prospective study. Crit Care Med. 2014;42(4):849-59.2. De Jonghe B, et al. Paresis acquired in the intensive care unit: a prospective multicenter study. JAMA. 2002;288(22):2859-67.3. Hermans G, et al. Acute outcomes and 1-year mortality of intensive care unit-acquired weakness. A cohort study and propensity-matched analysis. Am J Respir Crit Care Med. 2014;190(4):410-20.4. Hoffer LJ, Bistrian BR. Appropriate protein provision in critical illness: a systematic and narrative review. Am J Clin Nutr. 2012;96(3):591-600.5. Heyland DK, et al. Optimal amount of calories for critically ill patients: depends on how you slice the cake! Crit Care Med. 2011;39(12):2619-26.6. Nicolo M, et al. Clinical Outcomes Related to Protein Delivery in a Critically Ill Population: A Multicenter, Multinational Observation Study. JPEN J Parenter Enteral Nutr. 2016;40(1):45-51.7. Alberda C, et al. The relationship between nutritional intake and clinical outcomes in critically ill patients: results of an international multicenter observational study. Intensive Care Med. 2009;35(10):1728-37.8. Heyland DK, et al. The success of enteral nutrition and ICU-acquired infections: a multicenter observational study. Clin Nutr. 2011;30(2):148-55.9. Liebau F, et al. Short-term amino acid infusion improves protein balance in critically ill patients. Crit Care. 2015;19:106.10. Hsieh LC, et al. Anti-inflammatory and anticatabolic effects of short-term beta-hydroxy-beta-methylbutyrate supplementation on chronic obstructive pulmonary disease patients in intensive care unit. Asia Pac J Clin Nutr. 2006;15(4):544-50.11. Wei X, et al. The Association Between Nutritional Adequacy and Long-Term Outcomes in Critically Ill Patients Requiring Prolonged Mechanical Ventilation: A Multicenter Cohort Study. Crit Care Med. 2015;43(8):1569-79.12. Allingstrup MJ, et al. Provision of protein and energy in relation to measured requirements in intensive care patients. Clin Nutr. 2012;31(4):462-8.13. Weijs PJ, et al. Early high protein intake is associated with low mortality and energy overfeeding with high mortality in non-septic mechanically ventilated critically ill patients. Crit Care. 2014;18(6):701.14. Puthucheary ZA, et al. Acute skeletal muscle wasting in critical illness. JAMA. 2013;310(15):1591-600.15. Casaer MP, et al. Early versus late parenteral nutrition in critically ill adults. N Engl J Med. 2011;365(6):506-17.16. Casaer MP, et al. Role of disease and macronutrient dose in the randomized controlled EPaNIC trial: a post hoc analysis. Am J Respir Crit Care Med. 2013;187(3):247-55.17. Schetz M, et al. Does artificial nutrition improve outcome of critical illness? Crit Care. 2013;17(1):302.18. Casaer MP, Van den Berghe G. Nutrition in the acute phase of critical illness. N Engl J Med. 2014;370(25):2450-1.

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19. Braunschweig CL, et al. Role of timing and dose of energy received in patients with acute lung injury on mortality in the Intensive Nutrition in Acute Lung Injury Trial (INTACT): a post hoc analysis. Am J Clin Nutr. 2017;105(2):411-6.20. Arabi YM, et al. Permissive Underfeeding or Standard Enteral Feeding in Critically Ill Adults. N Engl J Med. 2015;372(25):2398-408.21. National Heart L, et al. Initial trophic vs full enteral feeding in patients with acute lung injury: the EDEN randomized trial. JAMA. 2012;307(8):795-803.22. Needham DM, et al. Physical and cognitive performance of patients with acute lung injury 1 year after initial trophic versus full enteral feeding. EDEN trial follow-up. Am J Respir Crit Care Med. 2013;188(5):567-76.23. Doig GS, et al. Early parenteral nutrition in critically ill patients with short-term relative contraindications to early enteral nutrition: a randomized controlled trial. JAMA. 2013;309(20):2130-8.24. Doig GS, et al. Intravenous amino acid therapy for kidney function in critically ill patients: a randomized controlled trial. Intensive Care Med. 2015;41(7):1197-208.25. Kondrup J, et al. Nutritional risk screening (NRS 2002): a new method based on an analysis of controlled clinical trials. Clin Nutr. 2003;22(3):321-36.26. Jie B, et al. Impact of preoperative nutritional support on clinical outcome in abdominal surgical patients at nutritional risk. Nutrition. 2012;28(10):1022-7.27. Heyland DK, et al. Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool. Crit Care. 2011;15(6):R268.28. Rahman A, et al. Identifying critically-ill patients who will benefit most from nutritional therapy: Further validation of the "modified NUTRIC" nutritional risk assessment tool. Clin Nutr. 2016;35(1):158-62.29. Compher C, et al. Greater Protein and Energy Intake May Be Associated With Improved Mortality in Higher Risk Critically Ill Patients: A Multicenter, Multinational Observational Study. Crit Care Med. 2017;45(2):156-63.30. Mukhopadhyay A, et al. Association of modified NUTRIC score with 28-day mortality in critically ill patients. Clin Nutr. 2017;36(4):1143-8.31. Mendes R, et al. Nutritional risk assessment and cultural validation of the modified NUTRIC score in critically ill patients-A multicenter prospective cohort study. J Crit Care. 2017;37:45-9.32. Arabi YM, et al. Permissive Underfeeding or Standard Enteral Feeding in High- and Low-Nutritional-Risk Critically Ill Adults. Post Hoc Analysis of the PermiT Trial. Am J Respir Crit Care Med. 2017;195(5):652-62.33. Heyland DK, et al. Enhanced protein-energy provision via the enteral route feeding protocol in critically ill patients: results of a cluster randomized trial. Crit Care Med. 2013;41(12):2743-53.34. Martin CM, et al. Multicentre, cluster-randomized clinical trial of algorithms for critical-care enteral and parenteral therapy (ACCEPT). CMAJ. 2004;170(2):197-204.35. Jain MK, et al. Dissemination of the Canadian clinical practice guidelines for nutrition support: results of a cluster randomized controlled trial. Crit Care Med. 2006;34(9):2362-9.36. Cahill NE, et al. Nutrition therapy in the critical care setting: what is "best achievable" practice? An international multicenter observational study. Crit Care Med. 2010;38(2):395-401.37. Heyland DK, et al. The prevalence of iatrogenic underfeeding in the nutritionally 'at-risk' critically ill patient: Results of an international, multicenter, prospective study. Clin Nutr. 2015;34(4):659-66.

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38. Frobert O, et al. Thrombus aspiration during ST-segment elevation myocardial infarction. N Engl J Med. 2013;369(17):1587-97.

39. Jolly SS, et al. Randomized trial of primary PCI with or without routine manual thrombectomy. N Engl J Med. 2015;372(15):1389-98.40. McClave SA, et al. Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN J Parenter Enteral Nutr. 2016;40(2):159-211.41. Liublinska V, Rubin DB. Sensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial. Stat Med. 2014;33(24):4170-85.42. Hollis S. A graphical sensitivity analysis for clinical trials with non-ignorable missing binary outcome. Stat Med. 2002;21(24):3823-34.43. Lan KKG, DeMets DL. Discrete sequential boundaries for clinical trials: Biometrika; 1983. 70 p.44. O'Brien PC, Fleming TR. A multiple testing procedure for clinical trials: Biometrics; 1979. 35 p.

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i See www.criticalcarenutrition.com for most recent version of the Canadian Critical Care Nutrition Guidelinesii Committee for Proprietary Medicinal P. Points to consider on adjustment for baseline covariates. Statistics in Medicine. 2004;23:701-709.iii Hubbard WK. ICH: Guidance on Statistical Principles for Clinical Trials (FDA Docket No. 97D-0174). Federal Register. 1998;63:49583-49598.iv Kahan BC. Accounting for centre-effects in multicentre trials with a binary outcome - when, why, and how? BMC Medical Research Methodology. Feb 2014;14.