在患有慢性疾病的患者中开发和验证虚弱的风险预测模型
Yuanchun Xu1, Wei Cao1, Zongsheng He1
1Army Medical University, Chongqing, China.
Gerontology & geriatric medicine
|October 24, 2024
概括
一种新的诺莫格拉姆模型有效预测慢性疾病患者的脆弱风险. 这种工具有助于临床医生识别需要早期干预脆弱的个体.
科学领域:
- 老年学是指老年学的学科.
- 临床医学 临床医学
- 公共卫生 公共卫生
背景情况:
- 在慢性疾病患者中,脆弱性很普遍,但没有定期评估.
- 早期识别脆弱性对于及时干预和改善患者结果至关重要.
研究的目的:
- 开发和验证一个预测模型来评估慢性疾病患者的脆弱风险.
- 确定用于预测该人口脆弱性的关键指标.
主要方法:
- 招募了543名慢性病患者;237人用于模型开发和验证.
- 分析了57个与脆弱相关的指标,包括人口统计,健康状况,身体,营养,活动和生物标志物数据.
- 采用多变量逻辑回归和名ogram构造用于预测建模.
主要成果:
- 在42.2%的研究队列中存在虚弱症状.
- 确定了关键预测因素:性别,年龄,慢性病的数量,迷你营养评估得分和临床脆弱度量得分.
- 开发的名图显示了高精度 (AUC 0.946) 和良好的一致性,通过校准曲线,ROC和DCA证实了强的性能.
结论:
- 开发的诺米图谱是一种可靠且易于使用的工具,用于评估慢性疾病患者的虚弱风险.
- 这个工具可以帮助临床医生主动查和管理高风险人群.
- 将这个名谱集成到临床实践中可以改善慢性疾病患者的脆弱性管理.
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