目的 了解各国使用医院衰弱风险评分（hospital frailty risk scores，HFRS）预测老年患者不良临床结局的总体情况，为我国老年住院患者的病情评估提供依据。方法 计算机检索中国知网、维普、Pubmed、Web of Science等数据库中使用HFRS预测老年患者不良临床结局的相关文献，并追溯相关参考文献获取完整资料，检索时间为建库至2023年8月。使用Medcalc20.0、Stata17进行数据合并。 结果 共纳入16篇文献。HFRS预测老年患者30 d内死亡率的受试者操作特征曲线下面积最高，为0.706；HFRS中、高风险组的死亡率、再入院率、住院延长率均高于低风险组，且HFRS高风险组老年患者不良临床结局率均处于较高水平。结论 HFRS的预测能力相对较好，根据不同国情对诊断代码进行调整后会达到更好的预测效果。使用HFRS有助于优化老年患者的管理及促进医疗资源的合理分配，有助于早期筛查、早期干预，延缓衰弱发展，从而降低老年住院患者不良临床结局发生率。

Objective To investigate the overall situation of using hospital frailty risk scores (HFRS) to predict adverse clinical outcomes in elderly patients in various countries,so as to provide a basis for the evaluation of the condition of elderly hospitalized patients in China.Methods China National Knowledge Network,cqVIP,Pubmed,Web of Science and other databases were searched to collect the literature on HFRS prediction of adverse clinical outcomes in elderly patients from database inception to August 2023,and the relevant references were traced back to obtain the complete data.Medcalc20.0 and Stata17 were used for data merging.Results A total of 16 literatures were included.HFRS predicted mortality within 30 days in elderly patients with the highest area under ROC curve was 0.706；the mortality rate,readmission rate and hospitalization extension rate of the middle and high risk HFRS groups were higher than those of the low risk group,and the adverse clinical outcome rate of elderly patients in the high risk HFRS group was at a higher level.Conclusions HFRS has a relatively good predictive power,and better predictive effect can be achieved after proper adjustment of diagnostic codes according to different national conditions.The use of HFRS is helpful to optimize the management of elderly patients and promote the reasonable allocation of medical resources,and is conducive to early screening and early intervention of elderly patients,delaying the development of frailty,and reducing the incidence of adverse clinical outcomes in elderly hospitalized patients.

R472.9；R823

海军军医大学深蓝护理科研项目（2022KYZ07）