Predictive Value of Red Cell Distribution Width-to-Platelet Ratio Combined with Procalcitonin in 28-day Mortality for Patients with Sepsis.

IF 1.8 Q3 CRITICAL CARE MEDICINE
Critical Care Research and Practice Pub Date : 2024-08-12 eCollection Date: 2024-01-01 DOI:10.1155/2024/9964992
Ying Si, Bo Sun, Yongmao Huang, Ke Xiao
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引用次数: 0

Abstract

Objectives: The objective of this study was to investigate the predictive value of erythrocyte distribution width-to-platelet ratio (RPR) combined with procalcitonin (PCT) on 28-day mortality in patients with sepsis.

Methods: A total of 193 patients with sepsis admitted to the Affiliated Hospital of Southwest Medical University from January 2013 to January 2018 were selected as the study objects. Univariate and multivariate analyses were used to understand the indicators related to the 28-day prognosis of patients, and the ROC curve was further drawn. The Kaplan-Meier curve was used to evaluate the prognosis of patients.

Results: A total of 193 patients were enrolled and divided into the survivor group (=156) and nonsurvivor group (=37) according to the prognosis within 28 days. The median age was 62.5 years, and 64.7% were males. Multivariate analysis showed that PCT and RPR were independent risk factors for 28-day prognosis in sepsis patients. The area under the ROC curve of PCT and RPR were 0.894 and 0.861, respectively, and the cutoff values were 27.04 and 0.12, respectively. Survival curve analysis showed that PCT and RPR were associated with the 28-day prognosis of patients, and the combination of PCT and RPR had a better predictive effect.

Conclusions: PCT and RPR are independent predictors of sepsis prognosis. The combined application of PCT and RPR (PCT-RPR) can further improve the predictive performance and provide a reference for the clinical diagnosis, treatment, and prognosis evaluation of sepsis patients.

红细胞分布宽度与血小板比值结合降钙素原对败血症患者 28 天死亡率的预测价值。
研究目的本研究旨在探讨红细胞分布宽度与血小板比值(RPR)联合降钙素原(PCT)对败血症患者28天死亡率的预测价值:选取2013年1月至2018年1月西南医科大学附属医院收治的脓毒症患者共193例作为研究对象。采用单变量和多变量分析了解患者28天预后的相关指标,并进一步绘制ROC曲线。结果:共纳入 193 例患者,根据 28 天内的预后分为存活组(=156)和非存活组(=37)。中位年龄为 62.5 岁,64.7% 为男性。多变量分析显示,PCT 和 RPR 是影响败血症患者 28 天预后的独立风险因素。PCT和RPR的ROC曲线下面积分别为0.894和0.861,临界值分别为27.04和0.12。生存曲线分析表明,PCT和RPR与患者28天的预后相关,PCT和RPR的组合具有更好的预测效果:结论:PCT和RPR是脓毒症预后的独立预测指标。结论:PCT 和 RPR 是预测脓毒症预后的独立指标,联合应用 PCT 和 RPR(PCT-RPR)可进一步提高预测效果,为脓毒症患者的临床诊断、治疗和预后评估提供参考。
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来源期刊
Critical Care Research and Practice
Critical Care Research and Practice CRITICAL CARE MEDICINE-
CiteScore
3.60
自引率
0.00%
发文量
34
审稿时长
14 weeks
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