Prediction model for postoperative urinary retention in patients undergoing totally extraperitoneal groin hernia repair.

Journal: Surgery
Published Date:

Abstract

BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperitoneal groin hernia repair, often prolonging hospitalization and increasing patient discomfort. This study aimed to develop a prediction model using machine learning for postoperative urinary retention risk stratification.

Authors

  • Chulhyo Jeon
    Department of Surgery, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Sanguk Hwang
    Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.
  • Jinbeom Cho
    Department of Surgery, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. Electronic address: jinbum21@catholic.ac.kr.

Keywords

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