Prediction of 30-Day Morbidity and Mortality After Conversion of Sleeve Gastrectomy to Roux-en-Y Gastric Bypass: Use of an Artificial Neural Network.

Journal: The American surgeon
PMID: 38197867

Abstract

BACKGROUND: Conversion of sleeve gastrectomy to Roux-en-Y gastric bypass is indicated primarily for unsatisfactory weight loss or gastroesophageal reflux disease (GERD). This study aimed to use a comprehensive database to define predictors of 30-day reoperation, readmission, reintervention, or mortality. An artificial neural network (ANN) was employed to optimize prediction of the composite endpoint (occurrence of 1+ morbid event).

Authors

  • Adam W Scott
    School of Medicine, University of Minnesota, Minneapolis, MN, USA.
  • Stuart K Amateau
    Division of Gastroenterology, Hepatology and Nutrition, Section of Interventional and Advanced Endoscopy, Department of Medicine, University of Minnesota, Minneapolis, USA.
  • Daniel B Leslie
    Department of Surgery, Division of Gastrointestinal/Bariatric Surgery, University Of Minnesota, 420 Delaware St SE, MMC 195, Minneapolis, MN, 55455, USA.
  • Sayeed Ikramuddin
    Department of Surgery, Division of Gastrointestinal/Bariatric Surgery, University Of Minnesota, 420 Delaware St SE, MMC 195, Minneapolis, MN, 55455, USA.
  • Eric S Wise
    Department of Surgery, Vanderbilt University Medical Center, Nashville, Tenn. Electronic address: eric.s.wise@vanderbilt.edu.

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