• Ulus Travma Acil Cerrahi Derg · Sep 2024

    Neutrophil/lymphocyte ratio as a predictor of mortality among aortic dissection patients in the emergency department.

    • İzzet Ustaalioglu and Aydoğdu UmaçGülbinGManisa Provincial Ambulance Service Chief Physician, Manisa-Türkiye..
    • Department of Emergency Medicine, Gönen State Hospital, Balıkesir-Türkiye.
    • Ulus Travma Acil Cerrahi Derg. 2024 Sep 1; 30 (9): 644649644-649.

    BackgroundAortic dissection (AD) is a serious cardiovascular condition associated with high mortality rates. The systemic inflammatory response can influence the prognosis of AD, and in this context, the neutrophil-to-lymphocyte ratio (NLR) emerges as a simple and rapid inflammatory biomarker.MethodsThis retrospective cohort study included 103 patients diagnosed with AD and treated in the emergency department between 2018 and 2023. Patient demographics, clinical features, and laboratory results were evaluated. Multivariate logistic regression analysis was performed to adjust for potential confounders such as age, mean systolic blood pressure, oxygen saturation, hemoglobin, lactate values, and the presence of coronary artery disease. The ability of NLR to predict mortality was analyzed using receiver operating characteristic (ROC) analysis.ResultsThe study population was divided into two groups: non-survivors (68% mortality rate) and survivors (32% survival rate). The non-survivor group had significantly higher NLR values compared to the survivor group (median NLR 7.66 vs. 2.5, p<0.001). Multivariate logistic regression analysis identified NLR as an independent predictor of in-hospital mortality (adjusted odds ratio [OR] 2.33, 95% confidence interval [CI] 1.42-3.82, p<0.001). ROC analysis for NLR demonstrated high discriminative power with an area under the ROC curve (AUROC) of 0.851 (95% CI 0.768-0.914). The determined cut-off point was >5.08 with a sensitivity of 77.14% and specificity of 81.82%.ConclusionThe findings indicate that high NLR is strongly associated with increased mortality risk in patients with AD and can be used in emergency clinical settings to predict mortality.

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