by Dustin C. Krutsinger, Kuldeep N. Yadav, Michael O.
Harhay, Karsten Bartels and Katherine R. Courtright
Critical Care volume 25,
Article number: 392 (2021)
Background
Enrollment problems are common among randomized controlled
trials conducted in the ICU. However, little is known about actual trial
enrollment rates and influential factors. We set out to determine the overall
enrollment rate in recent randomized controlled trials (RCTs) of patients with
acute respiratory distress syndrome (ARDS), acute lung injury (ALI), or sepsis,
and which factors influenced enrollment rate.
Methods
We conducted a systematic review by searching Pubmed using
predefined terms for ARDS/ALI and sepsis to identify individually RCTs
published among the seven highest impact general medicine and seven highest
impact critical care journals between 2009 and 2019. Cluster randomized trials
were excluded. Data were extracted by two independent reviewers using an
electronic database management system. We conducted a random-effects
meta-analysis of the eligible trials for the primary outcome of enrollment rate
by time and site.
Results
Out of 457 articles identified, 94 trials met inclusion criteria.
Trials most commonly evaluated pharmaceutical interventions (53%), were
non-industry funded (78%), and required prospective informed consent (81%). The
overall mean enrollment rate was 0.83 (95% confidence interval: 0.57–1.21)
participants per month per site. Enrollment in ARDS/ALI and sepsis trials were
0.48 (95% CI 0.32–0.70) and 0.98 (95% CI 0.62–1.56) respectively. The
enrollment rate was significantly higher for single-center trials (4.86; 95% CI
2.49–9.51) than multicenter trials (0.52; 95% CI 0.41–0.66). Of the 36 trials
that enrolled < 95% of the target sample size, 8 (22%) reported slow
enrollment as the reason.
Conclusions
In this systematic review and meta-analysis, recent ARDS/ALI
and sepsis clinical trials had an overall enrollment rate of less than 1
participant per site per month. Novel approaches to improve critical care trial
enrollment efficiency are needed to facilitate the translation of best evidence
into practice.