2020
DOI: 10.1017/ice.2020.215
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Assessment of race and sex as risk factors for colonization with multidrug-resistant organisms in six nursing homes

Abstract: The role of demographic characteristics, such as sex and race, as risk factors for colonization with multidrug-resistant organisms, has not been established in the nursing home setting. We demonstrate significantly higher prevalence overall in male patients, and sex differences are dependent on organism of interest and body site.

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Cited by 7 publications
(5 citation statements)
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“…Although not within the study's scope, we observed a higher MDR rate in Coagulase-Negative Staphylococci (Co-N), which colonize the skin, mucous membranes, and environmental surfaces in the community and the hospital. This may contribute to the transmission of antibiotic resistance to Staphylococcus aureus species [15].…”
Section: Discussionmentioning
confidence: 99%
“…Although not within the study's scope, we observed a higher MDR rate in Coagulase-Negative Staphylococci (Co-N), which colonize the skin, mucous membranes, and environmental surfaces in the community and the hospital. This may contribute to the transmission of antibiotic resistance to Staphylococcus aureus species [15].…”
Section: Discussionmentioning
confidence: 99%
“…Adjusted analyses accounted for age, sex, race and ethnicity, Medicaid insurance, antibiotic or nursing home exposure in the last year, mean Elixhauser comorbidity count, and history of MDRO. Race and ethnicity were included given prior evidence of association with risk for pneumonia, MDRO, and predisposing chronic pulmonary conditions . All analyses were performed using SAS version 9.4 (SAS Institute) or R version 4.0.0 (R Foundation).…”
Section: Methodsmentioning
confidence: 99%
“…Pairing was done by calculating the Mahalanobis distance between facilities across baseline values of weighted variables and choosing pairings with the minimum mean within-pair distance. 18,19 Randomization was performed within these pairs.…”
Section: Randomizationmentioning
confidence: 99%
“…Adjusted analyses accounted for age, sex, race and ethnicity, Medicaid insurance, prior antibiotic or nursing home exposure within the last year, mean Elixhauser Comorbidity Index count, and history of MDRO. Race and ethnicity information was included given prior evidence of association with risk for MDRO UTIs and predisposing urologic conditions . All analyses were performed using SAS (version 9.4; SAS Institute) or R (version 4.0.0; R Project for Statistical Computing).…”
Section: Methodsmentioning
confidence: 99%