Prediction Model for Critically Ill Patients with Acute Respiratory Distress Syndrome

Zhongheng Zhang and Hongying Ni

PLOS ONE, 2015, vol. 10, issue 3, 1-14

Abstract: Background and objectives: Acute respiratory distress syndrome (ARDS) is a major cause respiratory failure in intensive care unit (ICU). Early recognition of patients at high risk of death is of vital importance in managing them. The aim of the study was to establish a prediction model by using variables that were readily available in routine clinical practice. Methods: The study was a secondary analysis of data obtained from the NHLBI Biologic Specimen and Data Repository Information Coordinating Center. Patients were enrolled between August 2007 and July 2008 from 33 hospitals. Demographics and laboratory findings were extracted from dataset. Univariate analyses were performed to screen variables with p

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0120641

DOI: 10.1371/journal.pone.0120641

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