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NCT05611177
Predicting ICU Mortality in ARDS Patients
Conditions: Acute Respiratory Distress Syndrome
Sex: All
Ages: 18 Years – 100 Years
Enrollment: 1303
Sponsor: Dr. Negrin University Hospital
Location: Spain
Summary
The investigators are planning to perform a secondary analysis of an academic dataset of 1,303 patients with moderate-to-severe acute respiratory distress syndrome (ARDS) included in several published cohorts (NCT00736892, NCT02288949, NCT02836444, NCT03145974), aimed to characterize the best early model to predict duration of mechanical ventilation and mortality in the intensive care unit (ICU) after ARDS diagnosis using machine learning approaches.
Eligibility Criteria
Inclusion Criteria:Berlin criteria for moderate to severe ARDSExclusion Criteria:Postoperative patients ventilated <24h; brain death patients.
Source: ClinicalTrials.gov (NCT05611177). StuddyBuddy aggregates publicly available trial information.
