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基于RDW-CV的实用名图,用于预测老年败血症患者的临床结果

Chengying Hong¹, Zhenmi Liu¹, Chuanchuan Nan¹

¹Department of Critical Care Medicine, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, 518020, People's Republic of China.

Infection and drug resistance

|September 15, 2025

概括

红细胞分布宽度变化系数 (RDW-CV) 可以预测老年败血症患者的死亡率. 结合RDW-CV和其他指标的新型名录图准确预测结果,提供临床适用性.

科学领域:

关键护理医学关键护理医学
老年病的医生老年病的医生
血液学血液学血液学

背景情况:

败血症是老年患者死亡的主要原因.
对败血症结果的预测标记对于及时干预至关重要.
红细胞分布宽度变化系数 (RDW-CV) 已成为潜在的预后指标.

研究的目的:

为预测老年败血症患者的死亡率建立一个预后诺莫格拉姆.
评估RDW-CV对该人群死亡率的预测值.
评估开发的诺莫格拉姆的临床适用性.

主要方法:

对986名老年败血症患者的回顾性分析.
基于机器学习的特征重要性和多变量逻辑回归.
开发和验证一个结合RDW-CV和其他临床指标的预后名录.

主要成果:

研究队列中的死亡率为27.48%.
在非幸存者中,RDW-CV显著高于幸存者 (17.22 ±3.98%),而不是幸存者 (15.30 ±2.81%).
诺米图实现了0.755的AUC,证明了良好的预测准确性和临床实用性.

结论:

RDW-CV是老年人败血症死亡率的重要独立预测因素.
开发的诺姆图集成RDW-CV,为预测临床结果提供了可靠的工具.
通过验证分析证实了名图的准确性和临床适用性.

关键词:

在RDW-CV中使用RDW.年长的年长的年长的年长的年长死亡率死亡率这个名字是名ogramogram.预测模型是一个预测模型.这是一种血症.

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