Identifying Cardiovascular Disease Risk Endotypes of Adolescent Major Depressive Disorder Using Exploratory Unsupervised Machine Learning.

Journal: JAACAP open
Published Date: May 20, 2024

Abstract

OBJECTIVE: Adolescents with major depressive disorder (MDD) are at increased risk of premature atherosclerosis and cardiovascular disease (CVD). The ability to identify adolescents with MDD who are at increased CVD risk would facilitate personalized interventions and advance knowledge regarding the MDD-CVD association. This study aimed to identify adolescent MDD endotypes of increased CVD risk.

Authors

  • Anisa F Khalfan
    SickKids Research Institute, Toronto, Canada.
  • Susan C Campisi
    SickKids Research Institute, Toronto, Canada.
  • Ronda F Lo
    SickKids Research Institute, Toronto, Canada.
  • Brian W McCrindle
    Department of Pediatrics, University of Toronto, Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, M5G 1X8, Canada.
  • Daphne J Korczak
    SickKids Research Institute, Toronto, Canada.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals