Stratifying the Risk of Cardiovascular Disease in Obstructive Sleep Apnea Using Machine Learning.

Journal: The Laryngoscope
Published Date: Sep 6, 2021

Abstract

OBJECTIVES/HYPOTHESIS: Obstructive sleep apnea (OSA) is associated with higher risk of morbidity and mortality related to cardiovascular disease (CVD). Due to overlapping clinical risk factors, identifying high-risk patients with OSA who are likely to develop CVD remains challenging. We aimed to identify baseline clinical factors associated with the future development of CVD in patients with OSA.

Authors

  • Saikrishna C Gourishetti
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine Baltimore, Baltimore, Maryland, U.S.A.
  • Rodney Taylor
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine Baltimore, Baltimore, Maryland, U.S.A.
  • Amal Isaiah
    Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA; University of Maryland Institute for Health Computing, Bethesda, MD, USA; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: AIsaiah@som.umaryland.edu.

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