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Microb Drug Resist. 2018;24(5):556-562.

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

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제1저자 서현정,박완범 · 교신저자 김의석

소속 (9)
  1. 1 Department of Internal Medicine, Seoul National University Bundang Hospital , Seongnam, Republic of Korea.
  2. 2 Department of Internal Medicine, Seoul National University Hospital , Seoul, Republic of Korea.
  3. 3 Department of Internal Medicine, Chonnam National University Hospital , Gwangju, Republic of Korea.
  4. 4 Department of Internal Medicine, Inje University Ilsan Paik Hospital , Goyang, Republic of Korea.
  5. 5 Department of Internal Medicine, Pusan National University School of Medicine and Medical Research Institute, Pusan National University Hospital , Busan, Korea.
  6. 6 Department of Internal Medicine, Chonbuk National University Hospital , Jeonju, Republic of Korea.
  7. 7 Department of Internal Medicine, Chosun University Hospital , Gwangju, Republic of Korea.
  8. 8 Department of Internal Medicine, Chonnam National University Hwasun Hospital , Hwasun, Republic of Korea.
  9. 9 Department of Internal Medicine, Yonsei University Wonju College of Medicine Wonju Severance Christian Hospital , Wonju, Korea.

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.

Keywords

Staphylococcus aureusbacteremiacommunity-onsetmethicillin-resistantrisk-scoring system

그 밖의 정보
출판 형태
Journal Article
저널
Microbial drug resistance (Larchmont, N.Y.) · eISSN 1931-8448
전자 출판
2018-01-03
MeSH
Aged · Anti-Bacterial Agents / therapeutic use · Community-Acquired Infections / drug therapy / epidemiology / microbiology · Cross Infection / drug therapy / epidemiology / microbiology · Female · Hospitalization · Humans · Male · Methicillin-Resistant Staphylococcus aureus / drug effects / isolation & purification · Microbial Sensitivity Tests / methods · Prospective Studies · Republic of Korea · Retrospective Studies · Risk Factors · Staphylococcal Infections / drug therapy / epidemiology / microbiology
Substances
Anti-Bacterial Agents