张美,丁敏,周旻,高键,嵇初敏,成李,虞正红,虞奋.主动脉夹层患者术后谵妄临床预测模型的系统评价[J].上海护理,2026,26(1):
主动脉夹层患者术后谵妄临床预测模型的系统评价
Systematic review of clinical prediction models for postoperative delirium in patients with postoperative aortic dissection
投稿时间:2025-01-18  修订日期:2026-01-12
DOI:
中文关键词:  主动脉夹层  谵妄  预测模型  系统评价
英文关键词:
基金项目:复旦大学附属中山医院重要薄弱学科建设(加速康复外科护理亚专科XK-082-007)
作者单位E-mail
张美 复旦大学附属中山医院护理部 380762075@qq.com 
丁敏 复旦大学附属中山医院护理部  
周旻 复旦大学附属中山医院血管外科  
高键 复旦大学附属中山医院营养科 复旦大学临床流行病学与循证医学中心  
嵇初敏 复旦大学附属中山医院护理部 复旦大学临床流行病学与循证医学中心  
成李 复旦大学附属中山医院护理部  
虞正红 复旦大学附属中山医院护理部  
虞奋* 复旦大学附属中山医院护理部 3076881448@qq.com 
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中文摘要:
      【摘要】目的 系统评价主动脉夹层患者术后发生谵妄的临床预测模型。方法 检索the Cochrane Library、PubMed、Web of Science、Embase、中国生物医学文献数据库、中国知网、万方数据库以及维普数据库,检索时间从数据库建立之初至2025年3月。两名研究人员独立进行文献筛选、数据提取以及对纳入研究的偏倚风险评估。结果 最终纳入10个研究,10个主动脉夹层患者术后谵妄临床预测模型。评价结果显示,偏倚风险方面,10个研究均为高风险;在适用性方面,1个研究为高风险、6个研究为低风险、3个研究为不清楚。纳入模型的AUC为 0.771至0.98±0.05。最常见的预测因子包括年龄、肾损伤、深低温停循环持续时间、晕厥等。结论 主动脉夹层患者术后谵妄临床预测模型的整体预测性能一般,模型的偏倚风险较高,临床适用性需进一步验证。
英文摘要:
      【Abstract】Objective To systematically evaluate the clinical prediction model for the occurrence of delirium in postoperative aortic dissection patients. Methods the Cochrane Library, PubMed, Web of Science, Embase, China Biomedical Literature Database, China Knowledge Network, Wanfang database, and Wipro database were searched from the beginning of the database to March 2025. Two researchers independently performed literature screening, data extraction, and risk of bias assessment of the included studies. Results Ten studies with 10 clinical prediction models for postoperative delirium in patients with postoperative aortic dissection were finally included. The evaluation results showed that, in terms of risk of bias, all 10 studies were at high risk; in terms of applicability, one study was at high risk, six studies were at low risk, and three studies were unclear. The AUC for inclusion in the model ranged from 0.771 to 0.98 ± 0.05. The most common predictors include age, renal injury, duration of deep hypothermic circulatory arrest, syncope, and others. Conclusion The overall predictive performance of the clinical prediction model for postoperative delirium in patients with aortic dissection is average, the risk of bias of the model is high, and the clinical applicability needs to be further verified.
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