{"title":"Red Cell Distribution Width to Red Blood Cell Ratio: A Novel Biomarker for Predicting 30-Day Mortality in Type B Acute Aortic Dissection.","authors":"Jingjing Wang, Jun Zhou","doi":"10.1155/emmi/5722036","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 <i>p</i> < 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, <i>p</i> = 0.155) or RBC alone (DeLong's test, <i>p</i> = 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, <i>p</i> = 0.004).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":11528,"journal":{"name":"Emergency Medicine International","volume":"2026 ","pages":"5722036"},"PeriodicalIF":1.6000,"publicationDate":"2026-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13598367/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emergency Medicine International","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1155/emmi/5722036","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
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.
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.