缺血性脑卒中后抑郁风险预测模型的系统评价  

A systematic review of prediction models for post-ischemic stroke depression risks

作　　者：杨金盘 马秋平[1] 张佳琳 刘裕君 杨春晓 YANG Jinpan;MA Qiuping;ZHANG Jialin;LIU Yujun;YANG Chunxiao(Guangxi University of Chinese Medicine,Nanning 530200,Guangxi,China)

机构地区：[1]广西中医药大学,南宁市530200

出　　处：《内科》2023年第6期531-537,共7页Internal Medicine

基　　金：广西中医药大学高层次人才培育创新团队资助项目(2022A010)。

摘　　要：目的 评价现有缺血性脑卒中后抑郁风险预测模型。方法 检索CINAHL、Embase、Medline、The Cochrane Library、Web of Science、PubMed、中国知网、维普、中国生物医学文献数据库和万方数据库中关于缺血性脑卒中后抑郁风险预测模型的研究的文献,检索时限为建库至2022年7月13日。由2名研究者独立进行文献筛选,并使用预测模型研究系统评价的关键评估和数据提取清单提取数据,应用预测模型偏倚风险评估工具分析纳入文献的偏倚风险和适用性。结果 共纳入9项研究,包含9个缺血性脑卒中后抑郁风险预测模型,其受试者工作特征曲线的曲线下面积为0.780~0.928;9个预测模型主要包含的预测因子为:美国国立卫生研究院卒中量表评分、Barthel指数、年龄、高血压。5项研究的总体适用性较好,4项研究的总体适用性尚不清楚;9项研究的偏倚风险高。结论 缺血性脑卒中后抑郁风险预测模型的研究仍处于发展阶段,未来可开展多中心、大样本量的研究,开发准确性和简便性兼备的模型,同时对模型进行外部验证以优化模型。Objective To evaluate the existing prediction models for post-ischemic stroke depression risks.Methods A comprehensive search was performed to identify studies on prediction models for post-ischemic stroke depression risks in the following databases,CINAHL,Embase,Medline,The Cochrane Library,Web of Science,PubMed,CNKI,VIP,China Biomedical Literature Database,and Wanfang Database,and the date of publication was set from the inception to July 13th,2022.Two reviewers independently screened the studies,extracted data under the guidance of a checklist on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies,and analyzed the risk of bias and applicability of the included studies using Prediction Model Risk of Bias Assessment Tool.Results A total of 9 studies were enrolled,including 9 prediction models for post-ischemic stroke depression risks,and their areas under the receiver operating characteristic curves varied from 0.780 to 0.928.The predictors of the 9 prediction models mainly included National Institutes of Health Stroke Scale score,Barthel Index,age,and hypertension.The overall applicability of 5 studies was quite good,while the overall applicability of the other 4 studies was unclear;the risks of bias of the 9 studies were high.Conclusions The study on prediction models for post-ischemic stroke depression risks is still in the developing stage;multi-center research with large sample sizes should be carried out in the future to develop models with both accuracy and simplicity and optimize the models by external validation.

关 键 词：缺血性脑卒中 抑郁 并发症 预测模型 系统评价 

分 类 号：R743.3[医药卫生—神经病学与精神病学]