Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine
Journal
Diabetes care
Journal Volume
45
Journal Issue
1
Pages
204
Date Issued
2022
Author(s)
Sharma, Abhinav
Zheng, Yinggan
Ezekowitz, Justin A
Westerhout, Cynthia M
Udell, Jacob A
Goodman, Shaun G
Armstrong, Paul W
Buse, John B
Green, Jennifer B
Josse, Robert G
Kaufman, Keith D
McGuire, Darren K
Ambrosio, Giuseppe
Lopes, Renato D
Peterson, Eric D
Holman, Rury R
Abstract
Phenotypic heterogeneity among patients with type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD) is ill defined. We used cluster analysis machine-learning algorithms to identify phenotypes among trial participants with T2DM and ASCVD.
Subjects
HEART-FAILURE; NETWORK ANALYSIS; RISK SCORE; OUTCOMES; MELLITUS; SITAGLIPTIN; HOSPITALIZATION; IMPACT
SDGs
Publisher
AMER DIABETES ASSOC
Type
journal article