Predictors of methicillin-resistant Staphylococcus aureus colonization at hospital admission.

Abstract:

BACKGROUND:The best strategy for active surveillance for methicillin-resistant Staphylococcus aureus (MRSA) remains unclear. We attempted to identify a risk factor score to predict MRSA colonization at hospital admission. METHODS:Data on 9 variables reported as risk factors for MRSA colonization were analyzed, and a risk factor score to predict MRSA colonization was generated using multivariable logistic regression and receiver operating characteristic curve analyses. This risk score was then prospectively validated. RESULTS:Four risk factors (nursing home residence, diabetes, hospitalization in the past year, and chronic skin condition/infection) were significantly associated with MRSA colonization (c-statistic = 0.846). A cut-off score of 8 or greater would result in screening 20% of admissions and would detect 71% of MRSA-colonized patients. In the prospective validation study, a cut-off score of 8 or greater required screening 21% of admissions and detected 54% of MRSA. Nursing home residence was the best predictor of MRSA colonization. CONCLUSION:A similar risk factor-based screening strategy could be used to predict MRSA colonization in other institutions. Our data support routine screening of nursing home patients at hospital admission.

journal_name

Am J Infect Control

authors

Torres K,Sampathkumar P

doi

10.1016/j.ajic.2013.02.013

subject

Has Abstract

pub_date

2013-11-01 00:00:00

pages

1043-7

issue

11

eissn

0196-6553

issn

1527-3296

pii

S0196-6553(13)00291-5

journal_volume

41

pub_type

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