Classification of Japanese type 1 diabetes based on clinical phenotypes and its association with diabetic complications: Across-sectional study.

Journal: Journal of diabetes investigation
Published Date: Jul 2, 2025

Abstract

INTRODUCTION: Despite the increasing number of studies using machine learning to develop individualized treatment strategies, only a few have been conducted in patients with type 1 diabetes. This study aimed to identify the characteristics of Japanese patients with type 1 diabetes, classified into subgroups using data-driven cluster analysis based on pancreatic beta-cell function, obesity, and glycemic control, and clarify the association between these subgroups and diabetic complications.

Authors

  • Takafumi Masuda
    Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Naoto Katakami
    Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Naohiro Taya
    Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Kazuyuki Miyashita
    Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Mitsuyoshi Takahara
    Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Ken Kato
    Acute Cardiac Care, Andreas Grüntzig Heart Catheterization Laboratories, Department of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
  • Iichiro Shimomura
    Department of Metabolic Medicine, Graduate School of Medicine, Osaka University, Osaka, 565-0871, Japan.

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