在老年人中构建和验证术后虚弱风险预测模型:一个多中心研究
Shilong Lu1, Hao Liang2, Jiamin Fang3
1Guangzhou University of Chinese Medicine/State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
BMC geriatrics
|February 10, 2025
概括
一个新的预测模型使用人口统计学,生活方式和外科手术因素识别高风险的老年患者进行术后虚弱. 这种工具有助于早期检测和干预,以获得更好的恢复结果.
科学领域:
- 老年医学 老年医学
- 手术结果研究研究.
- 预测分析在医疗保健中的应用
背景情况:
- 手术后的虚弱显著影响老年患者的康复和生存.
- 早期预测脆弱性对于老年人手术后的有效康复策略至关重要.
- 这项研究的重点是开发一个对老年患者30天术后虚弱的预测模型.
研究的目的:
- 在老年患者中开发和验证30天术后虚弱的预测模型.
- 确定导致术后虚弱发展的关键因素.
- 为提供一个工具,用于针对性干预的高风险个体的早期识别.
主要方法:
- 利用来自广州七家医院的2290名患者的数据.
- 采用LASSO和逐步回归来构建和选择最佳预测模型.
- 使用校准曲线,ROC曲线下的面积 (AUC) 和决策曲线分析 (DCA) 评估模型性能.
主要成果:
- 最终的模型包括美国麻醉师协会 (ASA) 级别,手术内流血,经济收入,护理人员身份,久坐行为,认知功能,日常生活活动 (ADL),术后血红蛋白 (Hb) 水平和ICU入院.
- 该模型显示出良好的预测歧视,在训练组中AUC为0.7431在验证组中为0.7285.
- 关键预测因素包括人口,生活方式和手术相关因素.
结论:
- 成功开发了老年人术后虚弱的预测模型,证明了良好的预测能力.
- 该模型有效地根据一般人口统计,生活方式和手术因素识别高风险人群.
- 该工具为临床实践中早期发现和干预老年患者的虚弱提供了有价值的参考.
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