Departments of Medicine and Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, TN, USA.
Departments of Medicine and Anesthesia and the Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA.
Intensive Care Med. 2020 Dec;46(12):2153-2156. doi: 10.1007/s00134-020-06232-x. Epub 2020 Nov 2.
With the exception of a few successes in trials of supportive care, the majority of interventional clinical trials for acute respiratory distress syndrome (ARDS) have not led to new therapies. To improve the likelihood of benefit from clinical trial interventions in ARDS, clinical trial design must be improved. To optimize trial design, many factors need to be considered including the type of therapy to be tested, the type of trial (phase 2 or 3), how patients will be selected, primary and secondary end-points, and strategy for conduct of the trial, including potential newer trial designs such as platform or adaptive trials. Of these, optimization of patient selection is central to the likelihood of success and is particularly relevant in ARDS, which is a heterogeneous clinical syndrome, not a homogeneous disease. Recent advances including improved understanding of pathophysiologic mechanisms and better tools for outcome prediction in ARDS should facilitate both predictive and prognostic enrichment. This commentary focuses on new information and novel methods for prognostic and predictive enrichment that may be useful to optimize patient selection and increase the likelihood of positive clinical trials in ARDS.
除了在支持性治疗试验中取得的少数成功外,大多数急性呼吸窘迫综合征(ARDS)的干预性临床试验并未带来新的治疗方法。为了提高 ARDS 临床试验干预措施的获益可能性,必须改进临床试验设计。为了优化试验设计,需要考虑许多因素,包括要测试的治疗类型、试验类型(2 期或 3 期)、如何选择患者、主要和次要终点,以及试验的实施策略,包括潜在的更新的试验设计,如平台或适应性试验。其中,优化患者选择是成功的关键,在 ARDS 中尤为重要,因为 ARDS 是一种异质性的临床综合征,而不是一种同质的疾病。最近的进展,包括对病理生理机制的更好理解和对 ARDS 结局预测的更好工具,应该有助于预测和预后的富集。本评论重点介绍了预后和预测富集的新信息和新方法,这些方法可能有助于优化患者选择,并增加 ARDS 临床试验的阳性结果的可能性。