Machine Learning-Driven Modeling to Predict Postdischarge Venous Thromboembolism After Pancreatectomy for Pancreas Cancer.

Journal: Annals of surgical oncology
PMID: 39979688

Abstract

BACKGROUND: Postdischarge venous thromboembolism (pdVTE) is a life-threatening complication following resection for pancreatic cancer (PC). While national guidelines recommend extended chemoprophylaxis for all, adherence is low and ranges from 1.5 to 44%. Predicting a patient's pdVTE risk would enable a more tailored approach to extended chemoprophylaxis, better balancing the cost and risks of overtreatment. We aimed to demonstrate the feasibility of using machine learning models to predict pdVTE.

Authors

  • Kaleem S Ahmed
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Sheriff M Issaka
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Clayton T Marcinak
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
  • Sehar S Virani
    Department of Surgery, Aga Khan University, Karachi, Pakistan.
  • Taylor Jaraczewski
    Department of Surgery, Medical College of Wisconsin, Wisconsin, WI, USA.
  • Majid Afshar
    Loyola University Chicago, Chicago, IL.
  • Anoop Mayampurath
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
  • Matthew M Churpek
    Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States.
  • Jomol Mathew
    Department of Informatics and Information Technology, University of Wisconsin-Madison, Madison, WI, USA.
  • Syed Nabeel Zafar
    Division of Surgical Oncology, Department of Surgery, UW Carbone Cancer Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. zafars@surgery.wisc.edu.

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