A machine learning algorithm for stratification of risk of cardiovascular disease in metabolic dysfunction-associated steatotic liver disease.

Journal: European journal of internal medicine
PMID: 39013699

Abstract

BACKGROUND: Steatotic liver disease (SLD) is associated with adverse cardiac events. Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as a condition characterized by the abnormal accumulation of hepatic lipids that is closely linked to five metabolic disorders: overweight or obesity, impaired glucose regulation, hypertension, hypertriglyceridemia, and low high-density lipoprotein-cholesterol. This retrospective study aimed to stratify the risk of cardiac events in patients with MASLD.

Authors

  • Naoki Shibata
    Department of Cardiology, Ogaki Municipal Hospital, Ogaki, Japan.
  • Yasuhiro Morita
    Department of Cardiology, Ogaki Municipal Hospital, Ogaki, Japan.
  • Takanori Ito
    Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan; Department of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Yasunori Kanzaki
    Department of Cardiology, Ogaki Municipal Hospital, Ogaki, Japan.
  • Naoki Watanabe
    Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka-shinmachi, Osaka, 566-0002, Japan, 81 8093069457.
  • Naoki Yoshioka
    Department of Radiology, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba 286-0124, Japan.
  • Yoshihito Arao
    Department of Cardiology, Ogaki Municipal Hospital, Ogaki, Japan.
  • Satoshi Yasuda
    Department of Cardiovascular Medicine, National Cerebral Cardiovascular Center, Suita, 564-8565, Japan.
  • Yuichi Koshiyama
    Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan.
  • Hidenori Toyoda
    Department of Gastroenterology, Ogaki Municipal Hospital, Ogaki, Gifu, 503-0864, Japan.
  • Itsuro Morishima
    Department of Cardiology, Ogaki Municipal Hospital, Ogaki, Japan. Electronic address: morishima-i@muc.biglobe.ne.jp.

Keywords

External Resources

Popular Topics
Recent Journals