【摘要】 缺血性心脏病（ischemic heart disease,IHD）疾病负担严重，是全球重要的公共卫生问题。预后模型能够对患者进行风险分层，有助于临床医生采取个性化的治疗管理策略和措施。本文回顾当前IHD的非术后预后模型，总结现有模型的特点，从研究人群、预测结局和预测时间、方法学的角度分析了当前IHD非术后预后模型的局限性。未来，医疗大数据、生物标志物、多基因风险评分以及机器学习算法或许能够为IHD非术后预后模型的研究提供新方向。更多还原

【Abstract】 Ischemic heart disease(IHD) is an important public health problem worldwide that causes severe disease burden. Prognostic models can stratify patients according to risk, aiding clinicians in adopting personalized treatment management strategies and measures. This paper reviewed the current non-postoperative prognostic models for IHD, summarized their characteristics, and analyzed the limitations in terms of the research population, prediction outcomes and timeframes, and methodology. In the future, medical big data, biomarkers,multi-gene risk scores, and machine learning algorithms may be able to provide new directions for the subsequent studies of non-postoperative prognostic models for IHD.更多还原