A Machine Learning-Based Risk Score for Prediction of Infective Endocarditis Among Patients With Staphylococcus aureus Bacteremia-The SABIER Score.

Journal: The Journal of infectious diseases
PMID: 38420871

Abstract

BACKGROUND: Early risk assessment is needed to stratify Staphylococcus aureus infective endocarditis (SA-IE) risk among patients with S. aureus bacteremia (SAB) to guide clinical management. The objective of the current study was to develop a novel risk score that is independent of subjective clinical judgment and can be used early, at the time of blood culture positivity.

Authors

  • Christopher Koon-Chi Lai
    Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Eman Leung
    Department of Management Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
  • Yinan He
    School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Cheung Ching-Chun
    School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Mui Oi Yat Oliver
    Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Yu Qinze
    Department of Computer Science and Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Timothy Chun-Man Li
    Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Alfred Lok-Hang Lee
    Department of Microbiology, Prince of Wales Hospital, Hospital Authority, Hong Kong, Hong Kong SAR, China.
  • Yu Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.
  • Grace Chung-Yan Lui
    Medical Data Analytics Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; SH Ho Research Centre for Infectious Diseases, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address: gracelui@cuhk.edu.hk.

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