Acute respiratory distress syndrome without identifiable risk factors: A secondary analysis of the ARDS network trials.

Pubmed ID: 29898428

Pubmed Central ID: PMC6143398

Journal: Journal of critical care

Publication Date: Oct. 1, 2018

Affiliation: Department of Medicine, Division of Pulmonary and Critical Care Medicine, New York-Presbyterian Hospital-Weill Cornell Medical Center, Weill Cornell Medicine, New York, NY, United States; First Department of Critical Care Medicine and Pulmonary Services, Evangelismos Hospital, University of Athens Medical School, Athens, Greece. Electronic address: isiempos@yahoo.com.

Link: https://ac.els-cdn.com/S0883944118302521/1-s2.0-S0883944118302521-main.pdf?_tid=b3e9cd4e-1532-4bf5-85d2-215b3bf66107&acdnat=1541075300_48532c7663ed9b152402f9f366ee86bd&link_time=2024-04-26_08:16:56.292044

MeSH Terms: Humans, Male, Adult, Female, Aged, Risk Factors, United States, Age Factors, Middle Aged, Randomized Controlled Trials as Topic, Patient Selection, Intensive Care Units, Respiration, Artificial, Length of Stay, Respiratory Distress Syndrome

Grants: KL2 TR000458, P01 HL108801, R01 HL055330, UL1 TR000457, UL1 TR002384

Authors: Schenck EJ, Oromendia C, Choi AMK, Siempos II, Harrington JS

Cite As: Harrington JS, Schenck EJ, Oromendia C, Choi AMK, Siempos II. Acute respiratory distress syndrome without identifiable risk factors: A secondary analysis of the ARDS network trials. J Crit Care 2018 Oct;47:49-54. Epub 2018 Jun 2.

Studies:

Abstract

PURPOSE: We examined whether patients with acute respiratory distress syndrome (ARDS) lacking risk factors are enrolled in therapeutic trials and assessed their clinical characteristics and outcomes. METHODS: We performed a secondary analysis of patient-level data pooled from the ARMA, ALVEOLI, FACTT, ALTA and EDEN ARDSNet randomized controlled trials obtained from the Biologic Specimen and Data Repository Information Coordinating Center of the National Heart, Lung and Blood Institute. We compared baseline characteristics and clinical outcomes (before and after adjustment using Poisson regression model) of ARDS patients with versus without risk factors. RESULTS: Of 3733 patients with ARDS, 81 (2.2%) did not have an identifiable risk factor. Patients without risk factors were younger, had lower baseline severity of illness, were more likely to have the ARDS resolve rapidly (i.e., within 24 h) (p < 0.001) and they had more ventilator-free days (median 21; p = 0.003), more intensive care unit-free days (18; p = 0.010), and more non-pulmonary organ failure-free days (24; p < 0.001) than comparators (17, 14 and 18, respectively). Differences persisted after adjustment for potential confounders. CONCLUSIONS: Patients with ARDS without identifiable risk factors are enrolled in therapeutic trials and may have better outcomes, including a higher proportion of rapidly resolving ARDS, than those with risk factors.