Predicting prolonged length of in-hospital stay in patients with non-ST elevation myocardial infarction (NSTEMI) using artificial intelligence.

Journal: International journal of cardiology
PMID: 40222663

Abstract

BACKGROUND: Patients presenting with non-ST elevation myocardial infarction (NSTEMI) are typically evaluated using coronary angiography and managed through coronary revascularization. Numerous studies have demonstrated the benefits of expedited discharge following revascularization in this patient population. However, individuals with concomitant heart failure, hemodynamic instability, or arrhythmias often necessitate prolonged hospitalization. Using aortic pressure (AP) wave assessment, we aim to predict a prolonged length of stay (> 4 days, PLoS) in patients with NSTEMI treated with percutaneous coronary intervention (PCI).

Authors

  • Seyed Reza Razavi
    Biomedical Engineering Program, University of Manitoba, Winnipeg, MB R3T 5V6, Canada.
  • Tyler Szun
    Department of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 3P5, Canada.
  • Alexander C Zaremba
    Department of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 3P5, Canada.
  • Seth Cheung
    Department of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, R3E 3P5, Canada. Electronic address: Cheungs1@myumanitoba.ca.
  • Ashish H Shah
    Department of Neurological Surgery, University of Miami, Miami, FL, USA.
  • Zahra Moussavi
    Biomedical Engineering Program, University of Manitoba, Winnipeg, Canada.

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