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在住院的老年人中,使用综合老年病学评估数据开发和内部和外部验证一款针对虚弱风险的诺莫格拉姆模型

Hong Lyu^1,2, Wenhui Jiang³

¹Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi Province, China.

|November 3, 2023

概括

一个新的诺莫格拉姆模型准确地预测住院老年人的脆弱性,使用综合老年病评估数据. 该工具有助于识别高风险患者,并指导精确的干预措施,以预防和逆转脆弱性.

科学领域:

老年学是一门学科.
临床医学临床医学
医疗保健研究医疗保健研究

背景情况:

对于住院老年人的虚弱预测模型存在有限的研究,特别是在中国.
综合老年评估 (CGA) 对脆弱的老年人提供了显著的健康益处.
准确的脆弱性预测对于医院环境中的有针对性的干预措施至关重要.

研究的目的:

开发和验证一个名谱模型,用于预测住院老年人的脆弱风险.
利用CGA数据来识别脆弱的关键预测因素.
为医疗保健专业人员提供一个实用的工具,以评估脆弱性风险和指导护理干预.

主要方法:

利用来自64岁及以上个体的CGA数据.
包括人口特征,老年综合征和FRAIL规模评估作为预测因素.
使用后勤回归构建了一个名ogram模型,并通过内部 (Bootstrap) 和外部验证.

主要成果:

该研究包括2226名老年住院患者;25.25%被确定为脆弱.
最终的预测模型包含了诸如受损皮肤,MNA-SF,GDS-15等变量,莫尔斯风险得分,住院,ICI-Q-SF,布拉登得分,MMSE,BI得分和卡普里尼得分.
命名图显示了公平的歧视和令人满意的预测校准.

结论:

开发的诺莫格拉姆模型有效地识别了患有脆弱性高风险的住院老年人.
该模型表现出公平的歧视和良好的预测校准,使其适合临床实践.
这种可访问的工具有助于识别脆弱性风险因素,使精确的干预措施能够逆转和预防脆弱性.

关键词:

综合老年医学评估脆弱性脆弱性脆弱性脆弱性诺莫图谱预测模型脆弱性预测的预测预防脆弱性预防脆弱性

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