Literature DB >> 22459157

Antibiotic resistance patterns in medical and surgical patients in a combined medical-surgical intensive care unit.

Jason A Akulian1, Mark L Metersky.   

Abstract

PURPOSE: Studies have found different rates of antimicrobial resistance among patients in medical and surgical intensive care units (ICUs). We studied whether these differences were a function of geography or differences in the patient populations, by comparing resistance rates among bacteria isolated from a combined medical/surgical ICU.
MATERIALS AND METHODS: We retrospectively evaluated the results of bacterial cultures of each patient admitted to the ICU between February 2005 and September 2006. Data collection included patient demographics and culture and sensitivity results. Intensive care unit populations were compared using the Fisher exact test and the Student t test.
RESULTS: One hundred seventy-one medical and 94 surgical patients with positive cultures were studied. Organisms were grouped into 4 classes: Staphylococcus aureus, nonlactose fermenting gram-negative bacilli, Enterococcus species, and gram-negative enteric bacteria. In the 4 classes, no significant difference in antibiotic resistance was found between medical and surgical patients.
CONCLUSION: Reported differences in resistance patterns among bacteria cultured from medical and surgical patients may be due to geographic separation of the ICUs as opposed to differences in the patient characteristics. This study suggests that ICU-specific antibiograms remain a useful tool to guide the choice of antimicrobial therapy, even in medical/surgical ICUs.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Antibiotic; Infection; Intensive care; Medical; Surgical

Mesh:

Year:  2012        PMID: 22459157     DOI: 10.1016/j.jcrc.2012.02.006

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  3 in total

1.  Antimicrobial susceptibilities of respiratory pathogens in the surgical/trauma intensive care unit compared with the hospital-wide respiratory antibiogram in a level I trauma center.

Authors:  Sara Al-Dahir; Christopher Gillard; Fatima Brakta; Julio E Figueroa
Journal:  Surg Infect (Larchmt)       Date:  2015-02       Impact factor: 2.150

2.  Stopping Hospital Infections With Environmental Services (SHINE): A Cluster-randomized Trial of Intensive Monitoring Methods for Terminal Room Cleaning on Rates of Multidrug-resistant Organisms in the Intensive Care Unit.

Authors:  Matthew J Ziegler; Hilary H Babcock; Sharon F Welbel; David K Warren; William E Trick; Pam Tolomeo; Jacqueline Omorogbe; Diana Garcia; Tracy Habrock-Bach; Onofre Donceras; Steven Gaynes; Leigh Cressman; Jason P Burnham; Warren Bilker; Sujan C Reddy; David Pegues; Ebbing Lautenbach; Brendan J Kelly; Barry Fuchs; Niels D Martin; Jennifer H Han
Journal:  Clin Infect Dis       Date:  2022-09-30       Impact factor: 20.999

Review 3.  Explaining microbial phenotypes on a genomic scale: GWAS for microbes.

Authors:  Bas E Dutilh; Lennart Backus; Robert A Edwards; Michiel Wels; Jumamurat R Bayjanov; Sacha A F T van Hijum
Journal:  Brief Funct Genomics       Date:  2013-04-26       Impact factor: 4.241

  3 in total

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