Examining the Relationship Between Multidrug-Resistant Organism Acquisition and Exposure to Antimicrobials in Long-term Care Populations: A Review

• Published in: Annals of epidemiology 2016-11, Vol.26 (11), p.810-815
• Main Authors: Shaffer, Michele L, D’Agata, Erika M.C, Habtemariam, Daniel, Mitchell, Susan L
• Format: Article
• Language: English
• Subjects: Aged; Anti-Bacterial Agents - pharmacology; Antimicrobial drug resistance; Antimicrobial exposure; Bacterial Infections - drug therapy; Bacterial Infections - microbiology; Boston; Drug Resistance, Multiple, Bacterial; Female; Gram-Negative Bacteria - drug effects; Gram-Negative Bacteria - isolation & purification; Gram-Positive Bacteria - drug effects; Gram-Positive Bacteria - isolation & purification; Hazard models; Humans; Internal Medicine; Long-Term Care; Male; Microbial Sensitivity Tests; Proportional Hazards Models; Skilled Nursing Facilities
• ISSN: 1047-2797; 1873-2585
• DOI: 10.1016/j.annepidem.2016.09.007

Abstract Purpose Methodological approaches to examining the association between antimicrobial exposure and multidrug resistant organism (MDRO) acquisition are complex. This report’s objectives are to review approaches used in and findings of prior studies in the long-term care setting, illustrate how these challenges were addressed in a recently completed large prospective study, and discuss strategies for future studies. Methods Key design and analytic approaches used in studies conducted since 2000 examining the association between antimicrobial exposure and MDRO acquisition in the long-term care setting were reviewed. The Study of Pathogen Resistance and Exposure to Antimicrobials in Dementia (SPREAD) in nursing home residents in Boston from 2009 to 2014 is used to illustrate how to approach these challenges. Results Prior investigations reporting the association between antimicrobial exposure and MDRO acquisition vary considerably in their approaches. In SPREAD, grouped-time hazard models with complementary log-log link function were used to model acquisition accounting for clustering within facilities using generalized estimating equations and including all days of exposure prior to acquisition. Conclusions Future studies in these populations should make use of all available acquisition status data, incorporate the timing of antimicrobial exposure relative to acquisition, and collect detailed covariate information that facilitates examining confounding by indication.