Development and validation of severe hypoxemia associated risk prediction model in 1,000 mechanically ventilated patients

Sonal R. Pannu, Pablo Moreno Franco, Guangxi Li, Michael Malinchoc, Gregory Wilson, Ognjen Gajic

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

Objectives: Patients with severe, persistent hypoxemic respiratory failure have a higher mortality. Early identification is critical for informing clinical decisions, using rescue strategies, and enrollment in clinical trials. The objective of this investigation was to develop and validate a prediction model to accurately and timely identify patients with severe hypoxemic respiratory failure at high risk of death, in whom novel rescue strategies can be efficiently evaluated.

Original languageEnglish (US)
Pages (from-to)308-317
Number of pages10
JournalCritical care medicine
Volume43
Issue number2
DOIs
StatePublished - Feb 1 2015

Keywords

  • Hypoxemic respiratory failure
  • Mortality risk prediction
  • Prediction model
  • Refractory hypoxemia
  • Severe hypoxemia

ASJC Scopus subject areas

  • Critical Care and Intensive Care Medicine

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