Liu Yang, Shi Yi, Zhang Pengzhao, Xu Mengyuan, Zhang Jiaqi, Xia Jing, Guo Shaojie, Li Gaofeng, Feng Guang
Department of Neurosurgical ICU, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
Department of Neurosurgical ICU, Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, China.
PLoS One. 2025 Aug 22;20(8):e0330825. doi: 10.1371/journal.pone.0330825. eCollection 2025.
The study aimed to evaluate the relationship between baseline platelet-to-red blood cell distribution width ratio (PRR) and mortality in critically ill patients with non-traumatic subarachnoid hemorrhage (SAH).
This cohort study of adults with non-traumatic SAH used Medical Information Mart for Intensive Care (MIMIC-IV) data from 2008-2022 admissions at the Intensive Care Unit (ICU). We collected the PRR levels at admission and determined the all-cause death rates for the ICU and hospital. Cox proportional hazards models were utilized to analyze the association between baseline PRR level and all-cause mortality. Kaplan-Meier survival curve analysis was used to examine the consistency of these correlations. Restricted Cubic Splines (RCS) analysis was used to determine the relationship curve between all-cause mortality and PRR level and examine the threshold saturation effect. To evaluate the consistency of correlations, interaction and subgroup analyses were also conducted.
A total of 1056 patients with non-traumatic SAH were included in this study. All-cause mortalities in the ICU and hospital were 14.8% (156/1056) and 18.6% (196/1056), respectively. Compared to individuals with lower PRR Q1(≤12.67), the adjusted HR values in Q2 (12.68-15.99), Q3 (16.00-19.41), and Q4 (≥19.42) were 0.61 (95%CI:0.40-0.92, p = 0.017), 0.60 (95%CI: 0.39-0.92, p = 0.020), and 0.60 (95% CI:0.39-0.93, p = 0.019), respectively. Kaplan-Meier analysis showed that patients with low PRR levels had significantly higher ICU and in-hospital mortality (p < 0.001). The association between the PRR level and ICU and in-hospital mortality exhibited a non-linear relationship (p < 0.05). The threshold breakpoint value of 22.6 was calculated using RCS analysis. When the PRR level was lower than 22.6, the risk of ICU and in-hospital mortality rates decreased with an HR of 0.91 (95%CI: 0.88-0.94, p < 0.001) and 0.94 (95%CI: 0.92-0.96, p < 0.001), respectively. When the PRR level was higher than 22.6, the risk of ICU mortality (HR = 1.03, 95% CI: 0.97-1.10, p = 0.312) and in-hospital mortality (HR = 1.01, 95%CI: 0.95-1.08, p = 0.693) almost hardly increased with the increase in the PRR level. The interaction between the PRR and all subgroup factors was analyzed, and significant interactions were not observed.
There was a non-linear connection between the baseline PRR level and in-hospital mortality. A low level of PRR could increase the risk of death in participants with non-traumatic SAH.
本研究旨在评估基线血小板与红细胞分布宽度比值(PRR)与非创伤性蛛网膜下腔出血(SAH)重症患者死亡率之间的关系。
这项针对非创伤性SAH成人患者的队列研究使用了重症监护医学信息数据库(MIMIC-IV)中2008年至2022年重症监护病房(ICU)入院患者的数据。我们收集了入院时的PRR水平,并确定了ICU和医院的全因死亡率。采用Cox比例风险模型分析基线PRR水平与全因死亡率之间的关联。采用Kaplan-Meier生存曲线分析来检验这些相关性的一致性。使用限制立方样条(RCS)分析来确定全因死亡率与PRR水平之间的关系曲线,并检验阈值饱和效应。为了评估相关性的一致性,还进行了交互作用和亚组分析。
本研究共纳入1056例非创伤性SAH患者。ICU和医院的全因死亡率分别为14.8%(156/1056)和18.6%(196/1056)。与PRR Q1(≤12.67)较低的个体相比,Q2(12.68 - 15.99)、Q3(16.00 - 19.41)和Q4(≥19.42)的校正HR值分别为0.61(95%CI:0.40 - 0.92,p = 0.017)、0.60(95%CI:0.39 - 0.92,p = 0.020)和0.60(95%CI:0.39 - 0.93,p = 0.019)。Kaplan-Meier分析显示,PRR水平低的患者ICU和院内死亡率显著更高(p < 0.001)。PRR水平与ICU和院内死亡率之间的关联呈现非线性关系(p < 0.05)。使用RCS分析计算出阈值断点值为22.6。当PRR水平低于22.6时,ICU和院内死亡率风险分别以HR为0.91(95%CI:0.88 - 0.94,p < 0.001)和0.94(95%CI:0.92 - 0.96,p < 0.001)的速度下降。当PRR水平高于22.6时,ICU死亡率(HR = 1.03,95%CI:0.97 - 1.10,p = 0.312)和院内死亡率(HR = 1.01,95%CI:0.95 - 1.08,p = 0.693)几乎几乎不随PRR水平的升高而增加。分析了PRR与所有亚组因素之间的交互作用,未观察到显著的交互作用。
基线PRR水平与院内死亡率之间存在非线性联系。低水平的PRR会增加非创伤性SAH参与者的死亡风险。