Predicting 10-Year Risk of End-Organ Complications of Type 2 Diabetes With and Without Metabolic Surgery: A Machine Learning Approach.

Journal: Diabetes care
Published Date: Feb 6, 2020

Abstract

OBJECTIVE: To construct and internally validate prediction models to estimate the risk of long-term end-organ complications and mortality in patients with type 2 diabetes and obesity that can be used to inform treatment decisions for patients and practitioners who are considering metabolic surgery.

Authors

  • Ali Aminian
    Department of General Surgery, Bariatric & Metabolic Institute, Cleveland Clinic, Cleveland, OH aminiaa@ccf.org.
  • Alexander Zajichek
    Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH.
  • David E Arterburn
    Kaiser Permanente Washington Health Research Institute, Seattle, WA.
  • Kathy E Wolski
    Department of Cardiovascular Medicine, Cleveland Clinic Coordinating Center for Clinical Research, Cleveland Clinic, Cleveland, OH.
  • Stacy A Brethauer
    Department of General Surgery, Bariatric & Metabolic Institute, Cleveland Clinic, Cleveland, OH.
  • Philip R Schauer
    Department of General Surgery, Bariatric & Metabolic Institute, Cleveland Clinic, Cleveland, OH.
  • Steven E Nissen
    Department of Cardiovascular Medicine, Cleveland Clinic Coordinating Center for Clinical Research, Cleveland Clinic, Cleveland, OH.
  • Michael W Kattan

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