期刊文献+

髋部骨折患者术后30天死亡风险预测模型的范围综述

Risk prediction models of 30-day mortality after surgery in patients with hip fractures:a scoping review
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摘要 目的对髋部骨折患者术后30 d死亡风险预测模型进行范围综述,为临床护理实践及研究提供借鉴。方法聚焦髋部骨折患者术后30 d死亡风险预测模型,系统检索PubMed、Embase、Web of Science、中国知网、万方数据库、中国生物医学文献数据库及维普中文期刊服务平台等,筛选相关中英文文献,提取数据。结果共纳入21篇文献,髋部骨折患者术后30 d死亡率高达4.73%~33.76%,模型的总体预测效能良好,但整体偏倚风险较高。结论髋部骨折患者术后30 d死亡风险预测模型研究处于发展阶段,未来以期开发和/或验证低偏倚风险和高适应性的预测模型,指导临床实践。 Objective To conduct a scoping review of models for predicting the risk of 30-day mortality after surgery in patients with hip fractures and providing reference for clinical nursing practice and research.Methods Focusing on the risk prediction models for 30-day mortality after surgery in patients with hip fractures,we systematically searched and screened relevant Chinese and English literature in PubMed,Embase,Web of Science,CNKI,Wanfang Data,SinoMed,VIP,etc.,and extracted the data.Results A total of 21 articles were collected,and 30-day mortality after surgery in patients with hip fractures ranged from 4.73%to 33.76%.The overall prediction efficiency of the model was good,but the overall bias risk was high.Conclusion The research on risk prediction models for 30-day mortality after surgery in patients with hip fractures is in the development stage.In the future,it is expected to develop and/or verify the prediction model with low bias risk and high adaptability to guide clinical practice.
作者 王月 刘国庆 牛聪影 张振伟 孙建 褚友艾 秦寒枝 WANG Yue;LIU Guo-qing;NIU Cong-ying;ZHANG Zhen-wei;SUN Jian;CHU You-ai;QIN Han-zhi(Dept.of Orthopedics,the First Affiliated Hospital of USTC,Hefei 230036,China;Dept.of Neurology,the First Affiliated Hospital of USTC,Hefei 230036,China;Dept.of Nursing Administration,the First Affiliated Hospital of USTC,Hefei 230036,China;Dept.of Emergency ICU,the First Affiliated Hospital of USTC,Hefei 230036,China;Dept.of Gastrointestinal Surgery,Tianjin First Central Hospital,Tianjin 300380,China)
出处 《护理学报》 2024年第24期51-56,共6页 Journal of Nursing(China)
关键词 髋部骨折 死亡风险 预测模型 范围综述 hip fractures death risk predictive models scoping review
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