红细胞分布宽度与白蛋白比率预测尿道的短期死亡率:一项双队列研究
Ying Yu1, Zhenlin He1, Wei Li2
1Department of Urology, Zhejiang Provincial People's Hospital Bijie Hospital, Bijie, China.
Frontiers in nutrition
|February 26, 2026
概括
红血细胞分布宽度与白蛋白比率 (RAR) 是尿路炎患者短期死亡率的重要预测指标. 较高的RAR水平与增加的死亡风险相关,表明其作为临床分层工具的潜力.
科学领域:
- 关键护理医学 关键护理医学
- 腎臟病學 (nephrology) 是一種醫學.
- 血液学 血液学 血液学
背景情况:
- 泌尿突发症构成重大威胁,需要改进风险分层.
- 识别可靠的生物标志物来确定尿道的短期死亡率对于及时干预至关重要.
研究的目的:
- 为了研究红细胞分布宽度与白蛋白比率 (RAR) 与尿道患者的短期不良结果之间的关联.
- 与现有的临床评分系统相比,评估RAR的预测性能.
主要方法:
- 来自MIMIC-IV和比杰医院的回顾性数据收集.
- 应用多变量考克斯回归,受限立方线 (RCS) 和卡普兰-梅尔 (KM) 分析.
- 机器学习用于特征选和通过ROC曲线分析和DeLong测试验证的风险预测模型的开发.
主要成果:
- 包括 3,374 个尿液过敏患者; 28 天ICU 和住院死亡率分别为 15.20% 和 13.75%.
- 作为连续或分类变量,RAR显著与28天ICU和住院死亡率的增加有关.
- RCS分析显示了积极的剂量反应关系;RAR增强了传统得分的预测能力,开发的模型显示出优异的性能.
结论:
- RAR是尿道炎症短期死亡率的潜在预测因素.
- RAR可能成为一种有价值的临床工具,用于早期识别和风险分层的高风险的尿路病症患者.
- 建议在前性研究中进一步验证以确认临床效用.
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