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护理学报 ›› 2023, Vol. 30 ›› Issue (3): 57-62.doi: 10.16460/j.issn1008-9969.2023.03.057

• 循证护理 • 上一篇    下一篇

老年性骨质疏松患者骨折风险预测工具的范围综述

张红霞1, 杨巧巧2, 党晨珀2, 张文芳1, 张晓敏1, 邵转兰1   

  1. 1.甘肃中医药大学护理学院,甘肃 兰州 730000;
    2.中国人民解放军联勤保障部队第九四〇医院 运动医学科,甘肃 兰州 730050
  • 收稿日期:2022-09-30 出版日期:2023-02-10 发布日期:2023-03-14
  • 通讯作者: 杨巧巧（1979-）,女,甘肃兰州人,本科学历,主任护师,运动医学科护士长,硕士研究生导师。E-mail:258995846@qq.com
  • 作者简介:张红霞（1998-）,女,四川内江人,本科学历,硕士研究生在读,护士。
  • 基金资助:
    甘肃省青年科技基金计划（20JR10RA008）; 甘肃省卫生行业科研计划项目（GSWSKY-2019-12）

Fracture risk prediction tools in elderly patients with osteoporosis: a scoping review

ZHANG Hong-xia1, YANG Qiao-qiao2, DANG Chen-po2, ZHANG Wen-fang1, ZHANG Xiao-min1, SHAO Zhuan-lan1   

  1. 1. School of Nursing, Gansu University of Chinese Medicine, Lanzhou 730000, China;
    2. Dept. of Sports Medicine,No.940 Hospital of the Chinese People's Liberation Army Joint Security Force, Lanzhou 730050, China
  • Received:2022-09-30 Online:2023-02-10 Published:2023-03-14

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摘要： 目的 综合分析老年性骨质疏松患者骨折风险预测工具,为研究人员开发或引入符合本国国情的预测工具提供参考。方法 采用范围综述方法,检索PubMed、Embase、Web of Science、中国知网、万方数据知识服务平台、维普中文科技期刊数据及中国生物医学文献数据库7个中英文数据库,由2名研究者独立筛选文献和提取数据,并进行偏倚风险及适用性评价。结果 最后纳入18篇英文文献,包括12项预测工具开发研究及6项预测工具效能验证研究,共涉及12个老年性骨质疏松患者骨折风险预测工具,工具类型主要为风险预测模型及风险评估表。结论 老年性骨质疏松患者骨折风险预测工具种类繁多,预测性能良好但总体偏倚风险较高。相关研究人员一方面应对现有的预测工具进行验证及校准,另一方面应基于本土数据开发低偏倚风险、高临床适用性的风险预测工具,为老年性骨质疏松患者的精准健康管理提供参考。

关键词: 老年性骨质疏松, 骨质疏松性骨折, 风险预测, 模型构建, 人口健康管理

Abstract: Objective To comprehensively analyze fracture risk prediction tools in senile osteoporosis patients, and provide reference for researchers to develop or introduce prediction tools in line with national conditions. Methods Scoping review was conducted and we searched 7 Chinese and English databases including PubMed, Embase, Web of Science, CNKI, Wanfang Data Knowledge Service Platform, VIP Chinese scientific journal data and China Biomedical Literature Database for eligible literature. Two researchers screened the literature and conducted data extraction, and assessment of risk of bias and applicability independently. Results Eighteen pieces of English literature were included, including 12 prediction tool development studies and 6 prediction tool efficacy validation studies, involving 12 fracture risk prediction tools in elderly patients with osteoporosis. The types of tools were mainly risk prediction models and risk assessment tables. Conclusion There are various kinds of fracture risk prediction tools for elderly patients with osteoporosis, with good prediction performance, but overall high risk of bias. The existing prediction tools should be verified and calibrated. Local data-based risk prediction tools with low risk of bias and high clinical applicability should be developed, so as to provide reference for the precise health management of elderly patients with osteoporosis.

Key words: senile osteoporosis, osteoporotic fractures, risk assessment, model construction, population health management

中图分类号: 

  • R473.59
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