Condition: Acute Respiratory Distress Syndrome · Sponsor: Southeast University, China
Acute respiratory distress syndrome (ARDS) is a common and life-threatening condition in intensive care units, characterized by substantial biological and clinical heterogeneity. Differences in patients' inflammatory responses, baseline immune function, and organ failure patterns contribute to variability in ARDS severity, treatment response, and clinical outcomes. Precision classification of ARDS based on biological and inflammatory characteristics may therefore be essential for improving patient outcomes. Previous analyses of randomized clinical trials have identified two reproducible inflammatory subphenotypes-"hyperinflammatory" and "hypoinflammatory"-which differ in organ dysfunction profiles, clinical trajectories, and responses to treatments such as fluid management strategies, corticosteroids, and ventilatory interventions. However, key uncertainties remain, including whether these inflammatory subphenotypes can be validated in Chinese ARDS populations, how various bedside prediction models perform in identifying these subphenotypes, and whether model-based subphenotype identification can guide individualized treatment decisions. This multicenter cohort study aims to: (1) validate inflammatory subphenotypes of ARDS using latent class analysis; (2) compare the predictive performance of existing bedside models for subphenotype identification; and (3) assess whether subphenotype assignment based on prediction models can guide individualized treatment strategies, includin…
This description comes directly from the study's public registry record.
Hui Chen, MD · +8618006138640 · huichen.icu@gmail.com
Always discuss trial participation with your own doctor first.
| Zhongda Hospital, School of Medicine, Southeast University | Nanjing, Jiangsu, China | Recruiting |
Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.
We email about this public record only. Unsubscribe anytime with one click. Never medical advice.
This page is independently generated by Eichor from the public ClinicalTrials.gov record and re-synced daily. It is not the sponsor's official website unless claimed. Nothing here is medical advice; eligibility is always determined by the study team — talk to your own doctor first.
Source record: clinicaltrials.gov/study/NCT07289711