A Risk-Scoring System for Predicting Methicillin Resistance in Community-Onset Staphylococcus aureus Bacteremia in Korea

Hyeon Jeong Suh, Wan Beom Park, Sook In Jung, Kyoung Ho Song, Yee Gyung Kwak, Kye Hyung Kim, Jeong Hwan Hwang, Na Ra Yun, Hee Chang Jang, Young Keun Kim, Nak Hyun Kim, Kyung Hwa Park, Seung Ji Kang, Shinwon Lee, Eu Suk Kim, Hong Bin Kim

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Aims: We aimed to develop a simple scoring system to predict risk for methicillin resistance in community-onset Staphylococcus aureus bacteremia (CO-SAB) by identifying the clinical and epidemiological risk factors for community-onset methicillin-resistant S. aureus (MRSA). Methods: We retrospectively analyzed data from three multicenter cohort studies in Korea in which patient information was prospectively collected and risk factors for methicillin resistance in CO-SAB were identified. We then developed and validated a risk-scoring system. Results: To analyze the 1,802 cases of CO-SAB, we included the four most powerful predictors of methicillin resistance that we identified in the scoring system: underlying hematologic disease (-1 point), endovascular infection as the primary site of infection (-1 point), history of hospitalization or surgery in ≤1 year (+0.5 points), and previous isolation of MRSA in ≤6 months (+1.5 points). With this scoring system, cases were classified into low (less than-0.5), intermediate (-0.5-1.5), and high (≥1.5) risk groups. The proportions of MRSA cases in each group were 24.7% (22/89), 39.0% (607/1,557), and 78.8% (123/156), respectively, and 16.7% (1/6), 33.8% (112/331), and 76.9% (10/13) in a validation set. Conclusions: This risk-scoring system for methicillin resistance in CO-SAB may help physicians select appropriate empirical antibiotics more quickly.

Original languageEnglish
Pages (from-to)556-562
Number of pages7
JournalMicrobial Drug Resistance
Volume24
Issue number5
DOIs
Publication statusPublished - 2018 Jun

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Immunology
  • Pharmacology
  • Microbiology (medical)

Fingerprint Dive into the research topics of 'A Risk-Scoring System for Predicting Methicillin Resistance in Community-Onset Staphylococcus aureus Bacteremia in Korea'. Together they form a unique fingerprint.

  • Cite this

    Suh, H. J., Park, W. B., Jung, S. I., Song, K. H., Kwak, Y. G., Kim, K. H., Hwang, J. H., Yun, N. R., Jang, H. C., Kim, Y. K., Kim, N. H., Park, K. H., Kang, S. J., Lee, S., Kim, E. S., & Kim, H. B. (2018). A Risk-Scoring System for Predicting Methicillin Resistance in Community-Onset Staphylococcus aureus Bacteremia in Korea. Microbial Drug Resistance, 24(5), 556-562. https://doi.org/10.1089/mdr.2017.0236