基于共病的冠心病死亡预测模型研究现状

Comorbidity - based Mortality Prediction Models for Coronary Heart Disease

随着疾病谱的演变、医疗技术的进步及人口老龄化加剧,冠心病(CHD)合并共病的比例逐年增多,临床表现为症状不典型、冠脉血管病变复杂、冠脉血运重建率低、主要心脑血管不良事件发生率高、死亡风险大。建立共病评分模型以评估病情进展及死亡风险,识别高危CHD共病人群,可尽早干预治疗以降低死亡率。本文对基于共病的CHD死亡风险预测模型的进展作一综述,旨在推动我国CHD管理的优化。

The proportion of coronary heart disease(CHD)with comorbidities has been increasing with the evolution of disease spectrum,the progress of medical technologies and the acceleration of population aging.CHD with comorbidities is characterized by atypical clinical symptoms,complicated pathological vessels,low coronary revascularization rate,high incidence of major cardio-cerebrovascular adverse events,and high mortality risk.Comorbidity scoring models,particularly with the purposes of evaluating disease progression and mortality risk,may identify the high-risk population of CHD-related comorbidities,and do the early-interventions so as to reduce mortality.This paper reviews the risk prediction models for comorbidity-related CHD deaths,aiming at promoting the optimization of CHD management.