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
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

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
StatePublished - 2018.06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • bacteremia
  • community-onset
  • methicillin-resistant
  • risk-scoring system
  • Staphylococcus aureus

Quacquarelli Symonds(QS) Subject Topics

  • Medicine
  • Pharmacy & Pharmacology
  • Biological Sciences

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