Literature DB >> 27320901

Clinical and economic impact of meropenem resistance in Pseudomonas aeruginosa-infected patients.

William R Judd1, Patrick D Ratliff2, Ryan P Hickson3, Dana M Stephens4, Charles A Kennedy5.   

Abstract

BACKGROUND: The emergence of carbapenem resistance has had a significant impact on both clinical and economic outcomes.
METHODS: A retrospective, observational cohort study was performed in a 433-bed tertiary care medical center. The cohort was established from all inpatients with Pseudomonas aeruginosa-positive cultures over a 3-year period. Two multivariate models were developed: a logistic regression model to evaluate the primary outcome of in-hospital mortality and a linear regression model to evaluate the secondary outcome of total hospital cost.
RESULTS: The adjusted odds ratio for in-hospital mortality among patients with meropenem-resistant isolates was 2.89 (95% confidence interval [CI], 1.15-7.28). There were significantly more deaths in the meropenem-resistant group (28.1% vs 8.9%, P = .003). Patients with meropenem-resistant P aeruginosa experienced a 4-day increase in median length of stay versus those in the meropenem-susceptible group (14 vs 9 days, P = .004). Likewise, the percentage of patients who required intensive care unit (ICU) admission increased from 42% to 81.3% (P <.001). Meropenem resistance was also associated with a significant increase in total hospital cost by a factor of 1.42 among patients who were not admitted to the ICU (95% CI, 1.03-1.95).
CONCLUSIONS: Our results demonstrate that meropenem resistance was a significant predictor of in-hospital mortality. Carbapenem resistance also resulted in a significant increase in hospital cost, but only among patients who were not admitted to the ICU.
Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Pseudomonas aeruginosa; carbapenem resistance; hospital cost; multidrug resistance; multivariate logistic regression

Mesh:

Substances:

Year:  2016        PMID: 27320901     DOI: 10.1016/j.ajic.2016.04.218

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  9 in total

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  9 in total

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