Risk Factors for Development of Carbapenem Resistance Among Gram-Negative Rods

Author:

Richter Stefan E12ORCID,Miller Loren3,Needleman Jack4,Uslan Daniel Z5,Bell Douglas6,Watson Karol12,Humphries Romney7,McKinnell James A3

Affiliation:

1. Division of Cardiology, University of California, Los Angeles, Los Angeles, California

2. NIH BD2K Center of Excellence, University of California, Los Angeles, Los Angeles, California

3. Infectious Disease Clinical Outcome Research Unit, Los Angeles Biomedical Research Institute at Harbor-UCLA, University of California, Los Angeles, Los Angeles, California

4. Department of Health Policy and Management, University of California, Los Angeles, Los Angeles, California

5. Division of Infectious Disease, University of California, Los Angeles, Los Angeles, California

6. Division of Internal Medicine, University of California, Los Angeles, Los Angeles, California

7. Division of Pathology & Laboratory Medicine, University of California, Los Angeles, Los Angeles, California

Abstract

Abstract Background Infections due to carbapenem-resistant Gram-negative rods (CR-GNR) are increasing in frequency and result in high morbidity and mortality. Appropriate initial antibiotic therapy is necessary to reduce adverse consequences and shorten length of stay. Methods To determine risk factors for recovery on culture of CR-GNR, cases were retrospectively analyzed at a major academic hospital system from 2011 to 2016. Ertapenem resistance (ER-GNR) and antipseudomonal (nonertapenem) carbapenem resistance (ACR-GNR) patterns were analyzed separately. A total of 30951 GNR isolates from 12370 patients were analyzed, 563 of which were ER and 1307 of which were ACR. Results In multivariate analysis, risk factors for ER-GNR were renal disease, admission from another health care facility, ventilation at any point before culture during the index hospitalization, receipt of any carbapenem in the prior 30 days, and receipt of any anti-methicillin-resistant Staphylococcus aureus (anti-MRSA) agent in the prior 30 days (c-statistic, 0.74). Risk factors for ACR-GNR were male sex, admission from another health care facility, ventilation at any point before 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, 0.76). Conclusions A straightforward scoring system derived from these models can be applied by providers to guide empiric antimicrobial therapy; it outperformed use of a standard hospital antibiogram in predicting infections with ER-GNR and ACR-GNR.

Funder

National Institutes of Health

National Center for Advanced Translational Science

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

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