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评估新组合的CBC衍生系统性炎症比率及其动态变化作为ICU死亡率预测器,回顾性队列

Helia Azmakan¹, Farshad Hashemian¹, Kaveh Kazemian²

¹Department of Clinical Pharmacy, Faculty of Pharmacy Tehran Azad University of Medical Sciences Tehran Iran.

Health science reports

|March 7, 2025

概括

在ICU入院后48小时内,中性粒细胞与淋巴细胞血小板比率 (NLPR) 和在前48小时内发生的变化是重症患者死亡率的重要预测指标. 这些可访问的标记可以帮助预测结果,特别是在没有标准评分系统的情况下.

科学领域:

关键护理医学关键护理医学
生物标志物研究生物标志物研究
炎症标志物炎症标志物

背景情况:

新的炎症生物标志物在重症监护室 (ICU) 显示出预后价值.
现有研究强调了像中性粒细胞与淋巴细胞比率 (NLPR) 这样的标记物在预测结果方面的潜力.
在不同ICU人群中评估这些标志物对于临床应用至关重要.

研究的目的:

评估各种炎症参数对ICU死亡率的预测能力.
调查NLPR的预后价值及其在ICU入院后的前48小时内的动态变化.
为了验证这些预测因子在异质的重症患者队列中.

主要方法:

对311名ICU患者进行了回顾性队列研究.
在入院时和入院后48小时评估炎症参数.
多变量后勤回归,ROC曲线和校准曲线用于验证.

主要成果:

在ICU入院后48小时的NLPR及其在48小时内的变化显著预测了ICU死亡率 (分别p < 0.001和p = 0.018).
采用48小时NLPR的模型显示出最高的预测准确度 (AUC 0.8671) 和最佳校准.
在脑血管事故 (CVA) 患者中,NLPR动态变化的预测性能降低了.

结论:

48小时NLPR水平及其动态变化是异质重症病患者ICU死亡率的重要预测因素.
这些发现为预测ICU中的死亡率提供了实用,易于使用的工具.
这项研究强调了NLPR在缺乏常规传统评分系统的环境中的实用性.

关键词:

危急的疾病危急的疾病.炎症标志物的炎症标志物重症监护病房的重症监护病房是一个重症监护病房.淋巴细胞淋巴细胞死亡率死亡率中性粒细胞中性粒细胞.血小板血小板是

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