维护血液透析患者的萨尔科佩尼亚风险预测模型:系统性审查和元分析
Luchen Chen1, Huajuan Shen2, Yongze Dong3
1College of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China.
BMC nephrology
|December 23, 2025
概括
在血液透析患者中,萨科佩尼亚风险预测模型的质量不确定. 大多数当前的模型显示偏差的高风险,需要严格开发新的或改进的预测工具.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 老年病的医生 老年病的医生
- 生物统计学 生物统计学
背景情况:
- 皮症对接受维护血液透析的患者产生重大影响.
- 高质量的预测模型对于早期识别和预防这种人群中的肉症至关重要.
- 现有的血液透析患者的萨尔科佩尼亚风险预测模型的质量和临床实用性不确定.
研究的目的:
- 系统地审查和评估在接受维护血液透析的患者中对肉类的现有风险预测模型的质量.
主要方法:
- 在多个数据库中进行了全面的文献搜索,截至2024年5月12日.
- 研究使用预测模型偏差风险评估工具 (PROBAST) 和CHARMS检查清单进行了选.
- 评估了偏差风险和包含的预测模型的适用性.
主要成果:
- 包含了18项研究,其中包括21个对萨尔科佩尼亚的预测模型.
- 模型报告了年龄,性别,BMI和握力等风险因素,AUC从0.73到0.955.5不等.
- 大多数研究显示,由于人口选择,数据源,结果事件和缺失的数据管理问题,存在偏差的高风险.
结论:
- 目前用于维护血液透析患者的肉类症预测模型表明存在高偏差风险.
- 未来的研究必须采用严格的方法来增强现有模型或开发新的模型.
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