Research progress in risk prediction models for major adverse cardiovascular events in patients with type 2 diabetes mellitus combined with hypertension
Liu Lili
Fan Guanhua
Lin Kai
Wan Chaopeng
Lin Kun
Qiu Weili
Abstract：Patients with type 2 diabetes mellitus(T2DM)and hypertension(HTN)face a substantially increased risk of ma-jor adverse cardiovascular events(MACE),and that risk is further elevated when both conditions coexist.This article sys-tematically reviews advances in risk prediction models for MACE in patients with T2DM and HTN,and analyzes the evolu-tion from traditional prediction models to more recent models as well as their advantages and limitations in clinical applica-tion.The literature indicates that most existing prediction models are derived from data collected at large medical centers or from clinical trials,which limits their applicability in primary care settings.Future research should focus on developing sim-plified prediction tools based on routine clinical indicators,constructing localized models suitable for primary medical condi-tions in China,and strengthening the assessment of the synergistic effects of coexisting T2DM and HTN on MACE risk,so as to improve the clinical applicability of MACE risk prediction models,ultimately reduce the incidence of MACE,improve patient outcomes,and lessen the social medical burden.
Keywords：Type 2 diabetes mellitusHypertensionAdverse cardiovascular eventsPrediction modelRisk assessment
Publication Date：2025-08-20
Online Publishing Date：2025-12-09(First online date of this platform, not the publication date of the document)
Pages：8( 142-149 )