Predictors of hospital mortality in a population-based cohort of patients with acute lung injury*
- 1 May 2008
- journal article
- research article
- Published by Wolters Kluwer Health in Critical Care Medicine
- Vol. 36 (5), 1412-1420
- https://doi.org/10.1097/ccm.0b013e318170a375
Abstract
Studies describing predictors of mortality in patients with acute lung injury were primarily derived from selected academic centers. We sought to determine the predictors of mortality in a population-based cohort of patients with acute lung injury and to characterize the performance of current severity of illness scores in this population. Secondary analysis of a prospective, multicenter, population-based cohort. Twenty-one hospitals in Washington State. The cohort included 1,113 patients with acute lung injury identified during the year 1999–2000. None. We evaluated physiology, comorbidities, risk factors for acute lung injury, and other variables for their association with death at hospital discharge. Bivariate predictors of death were entered into a multiple logistic regression model. We compared Acute Physiology and Chronic Health Evaluation (APACHE) II, APACHE III, and Simplified Acute Physiology Score II to the multivariable model using area under the receiver operating characteristic curve. The model was validated in an independent cohort of 886 patients with acute lung injury. Modified acute physiology score, age, comorbidities, arterial pH, minute ventilation, Paco2, Pao2/Fio2 ratio, intensive care unit admission source, and intensive care unit days before onset of acute lung injury were independently predictive of in-hospital death (p < .05). The area under the receiver operating characteristic curve for the multivariable model was superior to that of APACHE III (.81 vs. .77, p < .001) but was no different after external validation (.71 vs. .70, p = .64). The predictors of mortality in patients with acute lung injury are similar to those predictive of mortality in the general intensive care unit population, indicating disease heterogeneity within this cohort. Accordingly, APACHE III predicts mortality in acute lung injury as well as a model using variables selected specifically for patients with acute lung injury.Keywords
This publication has 43 references indexed in Scilit:
- Methods to adjust for bias and confounding in critical care health services research involving observational dataJournal of Critical Care, 2006
- Incidence and Outcomes of Acute Lung InjuryNew England Journal of Medicine, 2005
- Prognostic determinants of acute respiratory distress syndrome in adults: Impact on clinical trial designCritical Care Medicine, 2005
- Prognostication and intensive care unit outcome: the evolving role of scoring systemsClinics in Chest Medicine, 2003
- Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practiceand problemsStatistics in Medicine, 2002
- Incidence and Mortality of Acute Lung Injury and the Acute Respiratory Distress Syndrome in Three Australian StatesAmerican Journal of Respiratory and Critical Care Medicine, 2002
- Efficacy of Low Tidal Volume Ventilation in Patients with Different Clinical Risk Factors for Acute Lung Injury and the Acute Respiratory Distress SyndromeAmerican Journal of Respiratory and Critical Care Medicine, 2001
- A 9-Year, Single-Institution, Retrospective Review of Death Rate and Prognostic Factors in Adult Respiratory Distress SyndromeAnnals of Surgery, 2001
- Incidence and Mortality after Acute Respiratory Failure and Acute Respiratory Distress Syndrome in Sweden, Denmark, and IcelandAmerican Journal of Respiratory and Critical Care Medicine, 1999
- Early Predictive Factors of Survival in the Acute Respiratory Distress SyndromeAmerican Journal of Respiratory and Critical Care Medicine, 1998