Prognostic Utility of the New Definition of Difficult-to-Treat Resistance Among Patients With Gram-Negative Bloodstream Infections

Author:

Giannella Maddalena1,Bussini Linda1,Pascale Renato1,Bartoletti Michele1,Malagrinò Matteo1,Pancaldi Livia1,Toschi Alice1,Ferraro Giuseppe1,Marconi Lorenzo1,Ambretti Simone2,Lewis Russell1,Viale Pierluigi1

Affiliation:

1. Infectious Diseases Unit, Department of Medical and Surgical Sciences, Policlinico Sant’Orsola Malpighi, University of Bologna, Bologna, Italy

2. Operative Unit of Clinical Microbiology, Policlinico Sant’Orsola Malpighi, University of Bologna, Bologna, Italy

Abstract

Abstract Background To compare the prognostic utility of the new definition of difficult-to-treat resistance (DTR) vs established definitions in a cohort of patients with Gram-negative bloodstream infections (GNBSIs). Methods This was a retrospective single-center study of adult patients with monomicrobial GNBSI, hospitalized from 2013 to 2016. DTR was defined as isolate demonstrating intermediate or resistant phenotype to all reported agents in the carbapenem, beta-lactam, and fluoroquinolone classes. Carbapenem resistance (CR) was defined according to 2015 Centers for Disease Control and Prevention criteria. Each isolate was further classified according to the Magiorakos et al. criteria as non-multidrug-resistant (non-MDR), MDR, extensively drug-resistant (XDR), or pan-drug-resistant (PDR). The primary outcome was all-cause 30-day mortality. Results Overall, 1576 patients were analyzed. Enterobacteriaceae accounted for 88.7% of BSIs, with Escherichia coli (n = 941) and Klebsiella pneumoniae (n = 326) being the most common pathogens. Pseudomonas aeruginosa was the most common nonfermentative bacteria (n = 130, 8.2%). Overall, 11% of strains were defined as DTR and 13% as CR. Episodes were further classified as non-MDR (68.8%), MDR (21.9%), XDR (8.8%), and PDR (0.4%). The prevalence rates of DTR, CR, and XDR were similar among Enterobacteriaceae and Acinetobacter baumannii, whereas they differed in P. aeruginosa. All the analyzed resistance definitions significantly improved prediction of 30-day mortality when introduced into a baseline multivariate model, to a similar degree: 9%, 10%, and 11% for DTR, Magiorakos, and CR definitions, respectively. Conclusions DTR seems a promising tool to identify challenging GNBSIs, mainly those due to P. aeruginosa. With the availability of new agents for CR infections, further multicenter assessments of DTR are needed.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

Reference19 articles.

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3. Multidrug resistance, inappropriate empiric therapy, and hospital mortality in Acinetobacter baumannii pneumonia and sepsis;Zilberberg;Crit Care,2016

4. The association between empirical antibiotic treatment and mortality in severe infections caused by carbapenem-resistant gram-negative bacteria: a prospective study;Zak-Doron;Clin Infect Dis,2018

5. Optimizing the design and analysis of clinical trials for antibacterials against multidrug-resistant organisms: a white paper from COMBACTE’s STAT-Net;de Kraker;Clin Infect Dis,2018

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