在接受维持血液透析的患者中预测肺炎的多变量模型的开发和外部验证:一项回顾性研究

Xiao Hua Yang¹, Ju Zhang¹, Xi Sheng Xie²

¹Department of Nephrology, Guangyuan Central Hospital, Guangyuan City, China.

PeerJ

|October 14, 2025

概括

一个新的模型准确地预测了维持血液透析 (MHD) 患者的肺炎风险,识别了高风险个体以获得更好的治疗和结果. 这有助于管理MHD患者的肺部感染.

科学领域:

腎臟病學 (nephrology) 是一種醫學專業.
肺部病理学肺部病理学
医疗信息学医疗信息学

背景情况:

维持血液透析 (MHD) 的患者面临着因肺炎而导致住院,死亡和财务负担的显著更高风险.
开发准确的肺炎风险评估对于这个脆弱的人群至关重要.

研究的目的:

建立一个预测模型来评估在接受维护血液透析的患者个体肺炎风险.
为了确定患有肺部感染高风险的患者,以指导临床管理.

主要方法:

从2018年1月到2024年11月对405名维持血液透析患者的回顾性分析.
多变量考克斯回归分析以确定预测因素并开发预测模型.
使用单独的患者队列对模型进行外部验证.

主要成果:

预测模型结合了诸如糖尿病,冠心病,血清流血,白细胞计数,白蛋白-球蛋白比率,左心室质量指数和年龄等因素.
该模型表现出强大的预测性能,C指数在建模集中为0.772,在外部验证集中为0.753.
该模型在决策曲线分析中表现出卓越的校准和实用性,表明患者预后有所改善.

结论:

一个经过验证的预测模型为维护血液透析患者提供了精确的,个性化的肺炎风险评估.
这种工具可以识别高风险个体,使得有针对性的干预措施和改善的预后后续.
该模型支持临床决策,用于管理MHD患者的肺部感染.

关键词:

外部验证的验证方法在MHD的患者.肺炎是一种肺炎.预测模型是一个预测模型.追溯研究是一项回顾性研究.

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