Metabolite-assisted models improve risk prediction of coronary heart disease in patients with diabetes
Background: Patients with diabetes have a two-to four-fold increased incidence of cardiovascular diseases compared with non-diabetics. Currently, there is no recognized model to predict the occurrence and progression of CVDs in diabetics.Objective: This work aimed to develop a metabolic biomarker-as...
Main Authors: | Min Shen, Qingya Xie, Ruizhe Zhang, Chunjing Yu, Pingxi Xiao |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-03-01
|
Series: | Frontiers in Pharmacology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2023.1175021/full |
Similar Items
-
Predictive nomogram for coronary heart disease in patients with type 2 diabetes mellitus
by: Shucai Xiao, et al.
Published: (2022-11-01) -
Establishment and validation of a nomogram for progression to diabetic foot ulcers in elderly diabetic patients
by: Zhuce Shao, et al.
Published: (2023-04-01) -
Association of the polymorphisms of the cholesteryl ester transfer protein gene with coronary artery disease: a meta-analysis
by: Ruizhe Zhang, et al.
Published: (2023-12-01) -
Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies
by: Qiong Nie, et al.
Published: (2023-04-01) -
Development of Prediction Model to Estimate the Risk of Heart Failure in Diabetes Mellitus
by: Hongling Qu, et al.
Published: (2022-07-01)