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Role of Unit-Specific Combination Antibiograms for Improving the Selection of Appropriate Empiric Therapy for Gram-Negative Pneumonia

Published online by Cambridge University Press:  02 January 2015

Jason M. Pogue*
Affiliation:
Department of Clinical, Social and Administrative Sciences, University of Michigan College of Pharmacy, and Department of Pharmacy Services, University of Michigan Health System, Ann Arbor, Michigan
Cesar Alaniz
Affiliation:
Department of Clinical, Social and Administrative Sciences, University of Michigan College of Pharmacy, and Department of Pharmacy Services, University of Michigan Health System, Ann Arbor, Michigan
Peggy L. Carver
Affiliation:
Department of Clinical, Social and Administrative Sciences, University of Michigan College of Pharmacy, and Department of Pharmacy Services, University of Michigan Health System, Ann Arbor, Michigan
Melissa Pleva
Affiliation:
Department of Clinical, Social and Administrative Sciences, University of Michigan College of Pharmacy, and Department of Pharmacy Services, University of Michigan Health System, Ann Arbor, Michigan
Duane Newton
Affiliation:
Clinical Microbiology Laboratories and Department of Pathology, University of Michigan Medical School, Ann Arbor, Michigan
Daryl D. DePestel
Affiliation:
Department of Clinical, Social and Administrative Sciences, University of Michigan College of Pharmacy, and Department of Pharmacy Services, University of Michigan Health System, Ann Arbor, Michigan
*
6071 West Outer Drive, Detroit, MI 48235 (jpogue@dmc.org)

Abstract

In an effort to improve the selection of appropriate empiric gram-negative therapy for pneumonia, we examined intensive care unit-specific combination antibiograms. These antibiograms were able to predict appropriate empiric gram-negative therapy. Empiric combination therapy based on unit-specific combination antibiograms may aid in the selection of therapy for gram-negative pneumonia.

Type
Concise Communication
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2011

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