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Risk factors for development of aminoglycoside resistance among gram-negative rods.

Authors :
Richter, Stefan E
Miller, Loren
Needleman, Jack
Uslan, Daniel Z
Bell, Douglas
Watson, Karol
Humphries, Romney
McKinnell, James A
Source :
American Journal of Health-System Pharmacy. 11/15/2019, Vol. 76 Issue 22, p1838-1847. 10p. 4 Charts, 1 Graph.
Publication Year :
2019

Abstract

Purpose Development of scoring systems to predict the risk of aminoglycoside resistance and to guide therapy is described. Methods Infections due to aminoglycoside-resistant gram-negative rods (AR-GNRs) are increasingly common and associated with adverse outcomes; selection of effective initial antibiotic therapy is necessary to reduce adverse consequences and shorten length of stay. To determine risk factors for AR-GNR recovery from culture, cases of GNR infection among patients admitted to 2 institutions in a major academic hospital system during the period 2011–2016 were retrospectively analyzed. Gentamicin and tobramycin resistance (GTR-GNR) and amikacin resistance (AmR-GNR) patterns were analyzed separately. A total of 26,154 GNR isolates from 12,516 patients were analyzed, 6,699 of which were GTR, and 2,467 of which were AmR. Results In multivariate analysis, risk factors for GTR-GNR were presence of weight loss, admission from another medical or long-term care facility, a hemoglobin level of <11 g/dL, receipt of any carbapenem in the prior 30 days, and receipt of any fluoroquinolone in the prior 30 days (C statistic, 0.63). Risk factors for AmR-GNR were diagnosis of cystic fibrosis, male gender, admission from another medical or long-term care facility, ventilation at any point prior to culture during the index hospitalization, receipt of any carbapenem in the prior 30 days, and receipt of any anti-MRSA agent in the prior 30 days (C statistic, 0.74). Multinomial and ordinal models demonstrated that the risk factors for the 2 resistance patterns differed significantly. Conclusion A scoring system derived from the developed risk prediction models can be applied by providers to guide empirical antimicrobial therapy for treatment of GNR infections. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10792082
Volume :
76
Issue :
22
Database :
Academic Search Index
Journal :
American Journal of Health-System Pharmacy
Publication Type :
Academic Journal
Accession number :
139393370
Full Text :
https://doi.org/10.1093/ajhp/zxz201