Red Cell Distribution Width to Red Blood Cell Ratio: A Novel Biomarker for Predicting 30-Day Mortality in Type B Acute Aortic Dissection.

IF 1.6 4区 医学 Q3 EMERGENCY MEDICINE
Emergency Medicine International Pub Date : 2026-09-22 eCollection Date: 2026-01-01 DOI:10.1155/emmi/5722036
Jingjing Wang, Jun Zhou
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引用次数: 0

Abstract

Background: Type B acute aortic dissection (BAAD) is associated with significant morbidity and mortality. Early identification of high-risk patients remains challenging. This study aimed to investigate whether the ratio of red cell distribution width to red blood cell count (RRR) could serve as a novel prognostic biomarker for 30-day mortality in patients with BAAD.

Methods: This retrospective cohort study enrolled 126 BAAD patients between 2017 and 2019. The primary outcome was 30-day mortality. To mitigate overfitting and identify robust predictors from a comprehensive panel of laboratory parameters, we employed the Boruta algorithm for feature selection, followed by variance inflation factor (VIF) analysis to assess multicollinearity. Variables with VIF > 5 were excluded. An optimal RRR cutoff was determined using receiver operating characteristic (ROC) analysis. The Boruta algorithm and multivariate logistic regression were used to identify independent predictors.

Results: During the 30-day follow-up period, 16 deaths (12.7%) were recorded. Comparative analysis showed that nonsurvivors had significantly lower RBC counts and hemoglobin, higher RDW, and markedly elevated RRR compared to survivors (all p < 0.05). The AUC for RRR was 0.774 (95% CI: 0.672-0.876) (RBC AUC = 0.741; RDW AUC = 0.684). However, the prognostic performance of RRR was not statistically superior to that of RDW alone (DeLong's test, p = 0.155) or RBC alone (DeLong's test, p = 0.335). After Boruta selection and VIF-based exclusion of collinear variables (AST and RBC, both VIF > 5), the final multivariable logistic regression model included RRR, ALT, PLT, and CREA. In multivariate analysis, only RRR remained independently associated with mortality within this model (OR = 3.059, 95% CI: 1.431-6.540, p = 0.004).

Conclusion: The RRR, a simple index derived from routine blood tests, was independently associated with 30-day mortality within our laboratory-based model in patients with BAAD. Given this association, the RRR warrants prospective validation as a prognostic tool.

红细胞分布宽度与红细胞比率:预测B型急性主动脉夹层患者30天死亡率的新生物标志物
背景:B型急性主动脉夹层(BAAD)与显著的发病率和死亡率相关。早期识别高危患者仍然具有挑战性。本研究旨在探讨红细胞分布宽度与红细胞计数(RRR)的比值是否可以作为BAAD患者30天死亡率的一种新的预后生物标志物。方法:本回顾性队列研究纳入了2017年至2019年期间126例BAAD患者。主要终点为30天死亡率。为了减轻过拟合并从实验室参数的综合面板中识别稳健的预测因子,我们采用Boruta算法进行特征选择,然后使用方差膨胀因子(VIF)分析来评估多重共线性。排除了VIF为bbb50的变量。采用受试者工作特征(ROC)分析确定最佳RRR截止值。采用Boruta算法和多元逻辑回归识别独立预测因子。结果:随访30 d,共发生死亡16例(12.7%)。对比分析显示,与幸存者相比,非幸存者的红细胞计数和血红蛋白明显降低,RDW较高,RRR明显升高(均p < 0.05)。RRR的AUC为0.774 (95% CI: 0.672-0.876) (RBC AUC = 0.741; RDW AUC = 0.684)。然而,RRR的预后表现并不优于单独使用RDW (DeLong’s检验,p = 0.155)或单独使用RBC (DeLong’s检验,p = 0.335)。在Boruta选择和基于VIF的共线性变量(AST和RBC,均为VIF bbbb5)排除后,最终的多变量logistic回归模型包括RRR、ALT、PLT和CREA。在多变量分析中,该模型中只有RRR仍然与死亡率独立相关(OR = 3.059, 95% CI: 1.431-6.540, p = 0.004)。结论:在我们基于实验室的BAAD患者模型中,RRR是一个来自常规血液检查的简单指标,与30天死亡率独立相关。鉴于这种关联,RRR作为一种预后工具值得前瞻性验证。
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来源期刊
Emergency Medicine International
Emergency Medicine International EMERGENCY MEDICINE-
CiteScore
0.10
自引率
0.00%
发文量
187
审稿时长
17 weeks
期刊介绍: Emergency Medicine International is a peer-reviewed, Open Access journal that provides a forum for doctors, nurses, paramedics and ambulance staff. The journal publishes original research articles, review articles, and clinical studies related to prehospital care, disaster preparedness and response, acute medical and paediatric emergencies, critical care, sports medicine, wound care, and toxicology.
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