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Predictors of mortality in acute lung injury during the era of lung-protective ventilation
  1. Eric J Seeley (eric.seeley{at}ucsf.edu)
  1. University of California, San Francisco, United States
    1. Danny F McAuley (dannymcauley{at}btinternet.com)
    1. Queen's University, Northern Ireland
      1. Mark Eisner (mark.eisner{at}ucsf.edu)
      1. University of California, San Francisco, United States
        1. Michael Miletin (mike.miletin{at}sympatico.ca)
        1. William Osler Health Center, Canada
          1. Michael A Matthay (matthaym{at}anesthesia.ucsf.edu)
          1. University of California, San Francisco, United States
            1. Richard H Kallet (rkallet{at}sfghsom.ucsf.edu)
            1. University of California, San Francisco, United States

              Abstract

              Background: Lung-protective ventilation has been widely adopted for the management of acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). Consequently, ventilator associated lung injury and mortality have decreased. It is unknown if this ventilation strategy changes the prognostic value of previously identified demographic and pulmonary predictors of mortality, such as respiratory compliance and the arterial oxygen tension-to-inspired oxygen fraction ratio (PaO2/FiO2).

              Methods: Demographic, clinical, laboratory and pulmonary variables were recorded in 149 patients with ALI/ARDS at the time of diagnosis through the first week of lung injury. Significant predictors of mortality were identified in bivariate analysis and these were entered into multivariate analysis to identify independent predictors of mortality.

              Results: Hospital mortality was 41%. In the bivariate analysis, 17 variables were significantly correlated with mortality, including age, APACHE II score and the presence of cirrhosis. Pulmonary parameters associated with death included PaO2/FiO2 and oxygenation index ([mean airway pressure x FiO2 x 100] / PaO2). In unadjusted analysis, the odds ratio of death for the PaO2/FiO2 was 1.57 (CI 1.12, 3.04) per standard deviation decrease. However, in adjusted analysis, PaO2/FiO2 was not a statistically significant predictor of death, with an OR of 1.29 (CI 0.82, 2.02). In contrast, oxygenation index (OI) was a statistically significant predictor of death in both unadjusted analysis, with an OR of 1.89 (CI 1.28, 2.78) and in adjusted analysis, OR 1.84 (CI 1.13, 2.99).

              Conclusions: In this cohort of patients with ALI/ARDS, OI was an independent predictor of mortality, whereas PaO2/FiO2 was not. Oxygenation index may be a superior predictor because it integrates both airway pressure and oxygenation into a single variable.

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