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Updated: May 22, 2026

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
Predicting methicillin resistance among community-onset Staphylococcus aureus bacteremia patients with prior
S-Y Chen1, W-C Chiang, M H-M Ma
1Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17 Xuzhou Road, Zhongzheng District, Taipei 100, Taiwan.
Abstract:
To develop and validate prediction rules to identify the risk of methicillin-resistant Staphylococcus aureus (MRSA) infection among community patients who have healthcare-associated (HA) exposure and S. aureus bacteremia. A total of 1,166 adults with community-onset S. aureus bacteremia were retrospectively enrolled. The background prevalence of community MRSA infection was extrapolated from 392 community-associated S. aureus bacteremia (CA-SAB) patients without HA exposure. Complete and clinical risk scores were derived and tested using data from 774 healthcare-associated S. aureus bacteremia (HA-SAB) patients. The risk scores were modeled with and without incorporating previous microbiological data as a model predictor and stratified patients to low-, intermediate-, and high-risk groups for MRSA infection. The clinical risk score included five independent predictors and the complete risk score included six independent predictors. The clinical and complete risk scores stratified 32.7 % and 42.0 % of HA-SAB patients to the low-risk group for MRSA infection respectively. The prevalence of MRSA infection in score-stratified low-risk groups ranged from 16.3 % to 23.3 %, comparable to that of CA-SAB patients (13.8 %). Simple decision rules allow physicians to stratify the risk of MRSA infection when treating community patients with prior HA exposure and possible S. aureus infection.
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