Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6116494 | Diagnostic Microbiology and Infectious Disease | 2012 | 6 Pages |
Abstract
Infections caused by Pseudomonas aeruginosa are associated with significant mortality. Existing mathematical models identifying mortality risk factors lack validation. We developed and validated a model to predict mortality in patients with P. aeruginosa bacteremia. Risk factors for 30-day mortality were examined through multivariate logistic regression in 114 patients. Independent predictors of mortality included isolation of a multidrug-resistant strain, APACHE II â¥23, and age â¥65 years. Clonality was assessed for multidrug-resistant isolates. Predicted probability of 30-day mortality was validated in 49 patients, after conditioning the model by the identified risk factors. The patients were split into 'high-risk' and 'low-risk' groups based on model-predicted mortality; the observed/expected ratios were 1.21 and 1.92, respectively. Our model was reasonable in predicting 30-day mortality in patients with P. aeruginosa bacteremia. Our results may be useful for developing strategies to reduce mortality attributed to P. aeruginosa.
Keywords
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Authors
Elizabeth B. Hirsch, Jessica M. Cottreau, Kai-Tai Chang, Juan-Pablo Caeiro, Michael L. Johnson, Vincent H. Tam,