[Neutrophil-lymphocyte ratio as predictor of mortality in patients with necrotizing fasciitis].

Octavio Ávila-Mercado, Víctor Flores-Gamboa, José Manuel Reyes-Ruiz, Paola Campos-Hernández, Gustavo Martínez-Mier
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Abstract

Background: Necrotizing fasciitis (NF) can affect any soft tissue and skin of the body. Its progression is rapid and it is associated with a high mortality rate. Therefore, the search for easily accessible and low-cost biomarkers that could predict the prognosis of patients with NF is necessary.

Objective: To evaluate the role of neutrophil-lymphocyte ratio (NLR) as a predictor of mortality in patients with NF.

Material and methods: Observational, cross-sectional, retrospective and analytical study of patients admitted between April and October 2020 in a tertiary-care hospital. The statistical tests used for the comparison of variables between the study groups were chi-square, Fisher's exact, Student's t and Mann-Whitney U. A receiver operating characteristic (ROC) curve was performed to determine the accuracy of NLR in predicting mortality in patients with NF.

Results: A total of 25 patients were included and stratified into non-survivors and survivors. The non-survivor group had an elevated NLR value compared to survivors (15.57 [13.75] vs. 7.91 [4.13]; p = 0.065). The NLR had an area under the curve (AUC) of 0.729 (95% confidence interval [95% CI] 0.516-0.886; p = 0.044), sensitivity of 77.78% (40-97.2), and specificity of 75% (47.6-92.7). The optimal cut-off point obtained for NLR was > 9.21.

Conclusions: An NLR value > 9.21 could be a predictor of mortality in patients with NF.

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[预测坏死性筋膜炎患者死亡率的中性粒细胞-淋巴细胞比率]。
背景:坏死性筋膜炎(NF坏死性筋膜炎(NF)可影响人体的任何软组织和皮肤。其进展迅速,死亡率高。因此,有必要寻找易于获得且成本低廉的生物标志物,以预测 NF 患者的预后:评估中性粒细胞-淋巴细胞比值(NLR)作为预测 NF 患者死亡率的指标的作用:对一家三级医院2020年4月至10月期间收治的患者进行观察性、横断面、回顾性和分析性研究。研究组间变量比较采用的统计检验包括卡方检验(chi-square)、费雪精确检验(Fisher's exact)、学生 t 检验(Student's t)和曼-惠特尼 U 检验(Mann-Whitney U),并绘制了接收者操作特征曲线(ROC),以确定 NLR 预测 NF 患者死亡率的准确性:共纳入 25 名患者,并将其分为非存活组和存活组。非幸存者组的 NLR 值高于幸存者组(15.57 [13.75] vs. 7.91 [4.13];P = 0.065)。NLR 的曲线下面积 (AUC) 为 0.729(95% 置信区间 [95% CI] 0.516-0.886;p = 0.044),敏感性为 77.78%(40-97.2),特异性为 75%(47.6-92.7)。NLR的最佳临界点为>9.21:NLR值>9.21可预测NF患者的死亡率。
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