Systematic reviews have considerable potential to provide evidence-based data to aid clinical decision-making. However, there is growing recognition that trials involving mechanical ventilation lack consistency in the definition and measurement of ventilation outcomes, creating difficulties in combining data for meta-analyses. To address the inconsistency in outcome definitions, international standards for trial registration and clinical trial protocols published recommendations, effectively setting the “gold standard” for reporting trial outcomes. In this Critical Care Perspective, we review the problems resulting from inconsistent outcome definitions and inconsistent reporting of outcomes (outcome sets). We present data highlighting the variability of the most commonly reported ventilation outcome definitions. Ventilation outcomes reported in trials over the last 6 years typically fall into four domains: measures of ventilator dependence; adverse outcomes; mortality; and resource use. We highlight the need, first, for agreement on outcome definitions and, second, for a minimum core outcome set for trials involving mechanical ventilation. A minimum core outcome set would not restrict trialists from measuring additional outcomes, but would overcome problems of variability in outcome selection, measurement, and reporting, thereby enhancing comparisons across trials.
Many interventions applied in the critically ill influence the duration of mechanical ventilation. Measures of ventilator dependence, such as duration of ventilation, are frequently used as primary and secondary outcomes. However, variations in outcome definitions lead to differences in estimates of treatment effects and in a systematic review this “artifactual difference” may dilute the real effect (1). As such, it is highly desirable that standardized outcome definitions be used in trials examining interventions likely to affect duration of mechanical ventilation. This will enable treatment effects to be compared in an unbiased, reliable, and robust manner.
Consistency in the measurement and reporting of trial outcomes is lacking. Williamson and colleagues noted that the most accessed and cited Cochrane reviews in 2009 all described inconsistencies in trial outcomes (2). Two systematic reviews of the effectiveness of protocolized weaning highlighted inconsistencies in measurement time points for ventilation outcomes (3, 4). Current international standards for trial registration (Consolidated Standards of Reporting Trials [CONSORT], World Health Organization [WHO] Registry) and the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 recommendations for writing clinical trial protocols stress that investigators should report the specific measurement variable and time frame for each outcome measure when registering trials (5–7). However, analysis of a cohort of records from the ClinicalTrials.gov database indicated that 36% of trials registered a domain only and lacked definition of the specific measure, metric used, or method of aggregation of results (8). Furthermore, outcomes included in trial protocols are not always reported in trial publications (9, 10).
In addition to the need for consistency in outcome definitions, Williamson and colleagues called for the development and use of core outcome sets (2), defined as an “agreed, standardized collection of outcomes measured and reported in all trials for a specific clinical area” (11). Agreement on a core outcome set should avoid problems associated with selective reporting of outcomes. The Core Outcome Measures in Effectiveness Trials (COMET) database has registered more than 260 references of planned work in developing core outcome sets and among them there are three studies exploring ventilation outcomes, long-term outcomes in acute respiratory failure, and rehabilitation after critical illness (12).
Little is known about how ventilation outcomes are defined and measured. To investigate this we sought to, first, identify trials involving mechanically ventilated adults and children that reported ventilation outcomes and describe how these outcomes were reported; and second, explore how trials specifically evaluating ventilation interventions reported ventilation outcomes and whether these might reveal a core outcome set.
We included trials published in the top-ranked journals between January 2007 and December 2012 in general medicine (New England Journal of Medicine, Lancet, Journal of the American Medical Association, and Pediatrics) and critical care (American Journal of Respiratory and Critical Care Medicine, Critical Care Medicine, Intensive Care Medicine, and Pediatric Critical Care Medicine). We specifically chose top-ranked journals because of the likelihood of locating high-quality trial reports. Rankings were based on the impact factors in the Web of Knowledge and Journal Citation Reports 2011 (Thomson Reuters). Our review included only randomized controlled trials involving adults or children receiving invasive mechanical ventilation and measuring outcomes pertaining to the duration of ventilation and its discontinuation. Three authors (B.B., L.R., P.J.McG.) divided the journals and independently searched, screened, and extracted data. Titles and abstracts of papers in the journals were reviewed: full texts including supplementary material, published protocols, or protocol registrations of all potentially relevant trials were retrieved. Details of the trials’ aims, primary and secondary outcome measures, and their definitions were extracted onto prepiloted data extraction forms (see the online supplement, Appendix 1). These forms were reviewed by the three authors to confirm inclusion: a fourth author (D.F.McA.) acted as arbitrator.
We included 66 reports of randomized trials (13–78) and associated documentation (59 trial registrations; 34 electronic supplementary materials; 13 published protocols) (Figure 1). Interventions addressed management of ventilation, sedation, physiotherapy, nutrition, renal/fluid management, medications, and infection prevention. The 66 trials reported 30 different primary outcomes. Primary outcomes reported by more than 1 trial and secondary outcomes reported by more than 10 trials are shown in Figure 2.

Figure 1. Flowchart of search and inclusion of trials. AJRCCM = American Journal of Respiratory and Critical Care Medicine; CCM = Critical Care Medicine; ICM = Intensive Care Medicine; JAMA = Journal of the American Medical Association; NEJM = New England Journal of Medicine; PCCM = Pediatric Critical Care Medicine; PP = published protocols; SM = supplementary material; TR = trial registrations.
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Figure 2. Most reported primary and secondary outcomes in 66 trials involving mechanically ventilated patients. ICU = intensive care unit; LOS = length of stay; MV = mechanical ventilation; VAP = ventilatory-associated pneumonia; VFD = ventilator-free days.
[More] [Minimize]Nine ventilation outcomes were reported across included trials, reflecting measures of ventilator dependence or occurrence of events (typically adverse outcomes) (Table 1). Duration of ventilation was the most commonly reported outcome, yet only 12 trials (25%) provided a definition (20, 24, 30, 32, 35, 42–44, 61, 64, 71, 73) with substantial variation in time point measures. Twenty-five trials reported ventilator-free days as an outcome; 9 (36%) (18, 19, 23, 51, 53, 62, 63, 72, 73) provided no definition, and variable start and end points were reported in the 16 (64%) providing a definition (24, 26, 31, 45, 50, 52, 54, 57, 58, 65, 66, 68–70, 72, 76) (Table 2). Three trials reporting weaning duration as a secondary outcome (24, 62, 76) and only one provided a definition (24). When reintubation was reported as a trial outcome (four trials), follow-up was measured at 24 hours (73), 48 hours (49, 61), or 7 days (32). When reintubation was recorded as an adverse event (four trials) (31, 40, 55, 71), the follow-up period within which this was measured was not provided.
| Outcome | No. of Trials | Reported as Primary Outcome | Reported as Adverse Event | Definition Provided [n (%)] |
|---|---|---|---|---|
| Measure of ventilation dependence | ||||
| Duration of ventilation | 48 | 9 | — | 12 (25%) |
| Ventilator-free days | 25 | 4 | — | 16 (64%) |
| Weaning time | 3 | — | — | 1 (33%) |
| Time to separation potential | 1 | 1 | — | 1 (100%) |
| Occurrence of events | ||||
| Reintubation | 8 | 2 | 4 | 4 (50%) |
| Extubation failure | 4 | 1 | 1 | 2 (50%) |
| Use of postextubation NIV | 4 | — | 3 | 1 (25%) |
| Weaning failure | 1 | 1 | — | 1 (100%) |
| Successful extubation | 1 | — | — | 0 |
| Start Point | End Point |
|---|---|
| Duration of mechanical ventilation | |
| Commencement of IMV (20, 30, 71) | First extubation (24, 30, 44, 61, 64) |
| Intubation (43) | Successful extubation (35, 61, 64) |
| Randomization (24, 35, 42, 44, 61, 64, 73) | Successful extubation: UAB for 24 h (73), 48 h (43, 44), or 72 h (24) |
| First SBT (64) | |
| Successful SBT (61, 64) | |
| Successful extubation (24 h) or successful SBT (UAB for 48 h) (42) | |
| Ventilator free (71) | |
| Free from IMV or NIV (for 48 h) (35) | |
| Extubation from IMV and NIV stop or reintubation for NIV group (32) | |
| Ventilation time within 28 d (64) | |
| Successful weaning (20, 61) | |
| VFD | |
| Day 1 (50, 54) | Day 28 (24, 31, 45, 50, 52, 58, 65, 66, 68–70, 76) |
| Intubation (50) | Day 60 (24) |
| Randomization (24, 30, 40, 46, 49, 51, 52, 81) | Day 90 (57) |
| Not specifically stated (26, 65, 69, 70, 76) | Days 28 and 90 (54) |
| Not specifically stated (72) | |
Twelve trials tested a ventilation intervention including sedation and ventilation weaning methods (20, 30, 31, 43, 44, 49, 68), ventilator modes (27, 78), automated systems to facilitate ventilator weaning (61, 64), and early noninvasive ventilation after invasive ventilation (32). Primary and secondary outcomes reported in these trials are presented in Figure 3. Outcome measures reflected four domains: measures of ventilator dependence (e.g., duration of ventilation, duration of weaning, separation potential), adverse outcomes (e.g., ventilatory-associated pneumonia, reintubation, self-extubation), mortality and survival outcomes (e.g., survival, intensive care unit [ICU] mortality, hospital mortality), and resource use (e.g., ICU length of stay, hospital length of stay, clinical workload).

Figure 3. Type and number of primary and secondary outcomes reported in 12 trials specifically evaluating a ventilation intervention. Reference numbers before and after the double forward slash indicate primary and secondary outcome references, respectively. ICU = intensive care unit; LOS = length of stay; MV = mechanical ventilation; NIV = noninvasive ventilation; VAP = ventilator-associated pneumonia; VFD = ventilator-free days.
[More] [Minimize]There was considerable variation in measuring primary outcomes. Ventilation trials reported either duration of mechanical ventilation or ventilator-free days, but not both. Start and end points are shown in Table 3. In secondary outcomes, mortality was reported for different follow-up periods that included ICU (20, 49, 68, 78), hospital (20, 68, 78), 28 days (31, 64), 30 days (30), 90 days (31), and before ventilator separation potential and extubation (61). One trial did not define the follow-up period (27) and one trial did not measure mortality (43). Two trials measured survival, at 1 year (31) and at an undefined time point (32).
| Start Point | End Point |
|---|---|
| Duration of mechanical ventilation | |
| Commencement of IMV (20, 30) | First extubation (30, 61, 64) |
| Intubation (43, 61) | Successful extubation (61) |
| Randomization (39, 76, 77) | Extubation or a tracheostomy mask for 48 h (43, 44) |
| Extubation from IMV and NIV stop or reintubation for NIV group (32) | |
| First SBT (32) | |
| Successful SBT (32) | |
| Successful weaning (20) | |
| VFD | |
| Intubation (68) | Day 28 (31, 68) |
| Randomization (31, 68) | |
We found substantial variation in the outcome sets used. Outcome definitions differed among trials, often measuring different time points and different follow-up periods. Furthermore, a large number of trials lacked detail in their outcome definitions.
It is important to highlight the effect related to the competing risk of death in using duration of ventilation as an outcome measure. Various statistical methods have tried to address this issue. Egleston and colleagues (79) point out that by using a basic approach of examining outcomes in survivors only it is possible that a harmful intervention will increase mortality in a vulnerable population. These remaining healthier survivors may have a reduced duration of ventilation, giving the impression that the intervention has a beneficial effect (79). Therefore it is important to consider the duration of ventilation as an outcome in the context of mortality. Measuring ventilator-free days (i.e., a composite outcome of mortality and duration of ventilation) is one method to address competing risks (80). Our work has demonstrated that ventilator-free days are often poorly defined or not reported.
Cause-specific hazard models that fail to take into account the competing event (death) result in the patient being censored from the analysis and may falsely make the intervention appear beneficial (81). When a subdistribution hazard model is employed patients are not censored despite the occurrence of the competing event. When events are mutually exclusive, such as death or unassisted breathing and discharge home, a parametric mixture survival model may be the most appropriate method to determine the true effect of an intervention (82).
The issue of competing risk is complex and does not apply just to mortality. An intervention intended to reduce the duration of mechanical ventilation may potentially lead to complications, making it unclear whether the treatment causes the complication or results in more patients being alive to develop the complication. Statistical approaches such as cause-specific hazard, cumulative incidence function, and event-free survival are used to detect the true effect of an intervention. However, their ability to do so varies depending on whether the competing risk is affected in the same or opposite manner as the primary event being studied (83). Regardless of these issues our finding of variability in mechanical ventilation outcome measures is important.
The outcome “duration of mechanical ventilation” was reported by 73% of all trials and was measured from either intubation or initiation of ventilation (which may or may not occur simultaneously). It is generally interpreted as intubation and initiation of mechanical ventilation occurring on ICU admission. However, initiation may occur in the operating room or emergency department and the start time point may be difficult to obtain or inconsistently recorded. Furthermore, some trials reported randomization as the start point for “duration of mechanical ventilation.” First, the criteria for randomization vary between trials. Second, enrollment in some trials, for example, investigating weaning methods, are dependent on physician assessment and are prone to bias. Finally, randomization may be delayed by the process of gaining consent, with consent windows up to 24 hours.
We found the end time point for measuring duration of mechanical ventilation was reported as either “free from mechanical ventilation” or extubation. Free from mechanical ventilation was defined as either freedom from invasive ventilation or both invasive and noninvasive ventilation. Timing of extubation may be influenced by organizational issues such as workload and staff availability (84, 85). These organizational issues may vary widely between institutions and across trials. This wide variability in outcome definitions regarding start and end points of mechanical ventilation will not be problematic within a trial provided both arms are equally affected. However, it may lead to systemic variations when comparing trials, highlighting the need for agreed outcome definitions.
In the 12 trials specifically evaluating a ventilation intervention, there was also time point variation in secondary outcomes. When reporting mortality, it is reasonable to choose a longer duration of follow-up when delayed effects are expected, such as in acute respiratory distress syndrome or severe sepsis (86). However, consensus on duration of follow-up is required if trials are to be compared. Length of stay (ICU and hospital) was frequently measured as a secondary outcome. Length of stay is an important health care resource use outcome. However, it has limitations, particular in comparing trials across countries with different health care funding models and resource availability. Furthermore, contextual differences in end-of-life care practices may also affect duration of ventilation and length of stay.
Although this article is the first to provide data showing substantial variation in outcome definitions in ventilation trials, it is not the first to call for improvements in standardizing outcomes in critical care trials. A workshop convened by the National Heart, Lung, and Blood Institute (87) recommended standardization in describing and collecting end points to facilitate meta-analyses of acute lung injury trials; and a Society of Critical Care Medicine stakeholder conference (88) highlighted the necessity of gaining consensus on a standard set of outcome measures for long-term outcomes after ICU discharge.
Our analysis indicates that outcomes reported in trials of ventilation interventions typically measure outcomes in a number of domains: measures of ventilator dependence, adverse outcomes, mortality and survival outcomes, and resource use. For ICU patients, being free from ventilation and survival are clearly important outcomes, but length of stay may not be. Longer term outcomes such as cognitive and physical function and quality of life are often underreported (87, 88). However, the effects of critical illness impacts on patients long after hospital discharge and these longer term outcomes are increasingly being recognized by investigators as being important (89–91). The optimal duration of long-term follow-up remains to be determined.
The common domains that are addressed give rise to the possibility of obtaining agreement on outcome definitions and a core outcome set. A core outcome set would not restrict trialists from measuring additional outcomes, but would overcome problems of variability in outcome selection, measurement, and reporting, thereby enhancing valid comparisons across trials. To address this, we are undertaking a study that will use the Delphi technique to achieve international consensus on core outcome definitions and a core outcome set for use in trials involving mechanical ventilation (http://www.comet-initiative.org/studies/details/292?result=true). We will liaise closely with the International Forum for Acute Care Trialists (InFACT) and the Delphi panel will draw on relevant stakeholders including patient groups, professional societies, clinical trial groups, and industry.
Our search for trials was restricted to a short, but recent, time period and a small number of journals. It does not provide a full, comprehensive overview of ventilation outcomes in trials across a longer time period and a wider range of journals; however, we are confident that we have presented sufficient data to demonstrate significant variability in outcome reporting in recent trials accepted for publication in high-impact journals.
We show substantial variation in the choice of outcome measures and their definition in randomized trials evaluating interventions likely to influence the duration of ventilation. We anticipate that the recent SPIRIT 2013 statement (7) outlining guidance for reporting clinical trial protocols will help investigators provide clear definitions enabling more appropriate comparisons. Expert consensus on, and implementation of, standardized outcome definitions and core outcome sets is fundamental to reducing bias when comparing effects across trials.
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Author Contributions: B.B., L.R., D.F.M., and M.C. have been involved in the conception and design of the study; B.B., P.J.M., and L.R. have been involved in data acquisition and data extraction; B.B., L.R., D.F.M., J.C.M., and M.C. have been involved in analysis and interpretation of the data; all authors have contributed to writing the article before submission.
This article has an online supplement, which is accessible from this issue’s table of contents online at www.atsjournals.org
Originally Published in Press as DOI: 10.1164/rccm.201309-1645PP on February 10, 2014
Author disclosures are available with the text of this article at www.atsjournals.org.