中性粒细胞/淋巴细胞比率作为急诊科主动脉夹层患者死亡率的预测指标。

İzzet Ustaalioglu, Gülbin Aydoğdu Umaç
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引用次数: 0

摘要

背景:主动脉夹层(AD主动脉夹层(AD)是一种严重的心血管疾病,死亡率很高。全身炎症反应可影响 AD 的预后,在此背景下,中性粒细胞与淋巴细胞比值(NLR)成为一种简单、快速的炎症生物标志物:这项回顾性队列研究纳入了2018年至2023年期间在急诊科确诊并接受治疗的103名AD患者。对患者的人口统计学特征、临床特征和实验室结果进行了评估。进行了多变量逻辑回归分析,以调整潜在的混杂因素,如年龄、平均收缩压、血氧饱和度、血红蛋白、乳酸值和是否存在冠状动脉疾病。使用接收器操作特征(ROC)分析方法分析了 NLR 预测死亡率的能力:研究对象分为两组:非存活者组(死亡率为 68%)和存活者组(存活率为 32%)。与幸存者组相比,非幸存者组的 NLR 值明显更高(NLR 中位数为 7.66 vs. 2.5,P5.08,敏感性为 77.14%,特异性为 81.82%):研究结果表明,高 NLR 与 AD 患者死亡风险增加密切相关,可用于临床急诊预测死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neutrophil/lymphocyte ratio as a predictor of mortality among aortic dissection patients in the emergency department.

Background: Aortic 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.

Methods: This 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.

Results: The 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%.

Conclusion: The 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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