title: A model to predict mortality following Pseudomonas aeruginosa bacteremia.
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 ≥ 23, and age ≥ 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.
authors: University of Houston College of Pharmacy, Houston, TX 77030, USA.
authors: Elizabeth B
authors: EB
authors: Hirsch
authors: Jessica M
authors: JM
authors: Cottreau
authors: Kai-Tai
authors: KT
authors: Chang
authors: Juan-Pablo
authors: JP
authors: Caeiro
authors: Michael L
authors: ML
authors: Johnson
authors: Vincent H
authors: VH
authors: Tam
mesh_terms: D000328:Adult; D000368:Aged; D016470:Bacteremia / Q000175:diagnosis* / Q000382:microbiology / Q000401:mortality*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011552:Pseudomonas Infections / Q000175:diagnosis* / Q000382:microbiology / Q000401:mortality*; D011550:Pseudomonas aeruginosa / Q000302:isolation & purification*; D012189:Retrospective Studies; D012307:Risk Factors