Department of Urology, Faculty of Medicine, Airlangga University, Surabaya, East Java, Indonesia; Dr. Soetomo General-Academic Hospital, Surabaya, East Java, Indonesia.
Fr J Urol. 2024 Sep;34(9):102673. doi: 10.1016/j.fjurol.2024.102673. Epub 2024 Jun 28.
Compare scoring systems using Fournier gangrene severity index (FGSI), Uludag Fournier gangrene severity index (UFGSI), Laboratory Risk Indicator for Necrotizing Fasciitis (LRINEC), and neutrophil-lymphocyte ratio (NLR) to predict the outcome of patients with Fournier gangrene.
This is a retrospective cohort study that includes FG patients from 2012 to 2021. NLR, FGSI, UFGSI, and LRINEC values were calculated and analyzed. Each scoring system was analyzed using a receiver-operating curve (ROC) analysis to determine its sensitivity, specificity, and area under the curve (AUC). Statistical analysis was performed using SPSS version 25.
A total of 158 patients were included in this study. Regarding the mortality outcome, FGSI comprised the highest value of AUC with 80.9, with a sensitivity of 91.7% and specificity of 68.5%. LRINEC comprised the AUC value of 61.1, with 79.2% sensitivity and 64.2% specificity. NLR comprised an AUC value of 63.7, 91.7% of sensitivity, and 98.1% of specificity. In terms of length of stay, LRINEC and NLR were associated as significant predictor.
FGSI, UFGSI, and NLR are significant predictors associated with mortality in patients with Fournier gangrene. FGSI and UFGSI comprised the highest sensitivity and specificity value in predicting mortality prognosis. Moreover, this study highlighted the role of NLR and LRINEC as significant predictors for the length of hospitalization. This study shows that FGSI is still a reliable scoring system for predicting mortality in patients with Fournier Gangrene.
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使用 Fournier 坏疽严重指数(FGSI)、乌尔达格 Fournier 坏疽严重指数(UFGSI)、实验室坏死性筋膜炎风险指标(LRINEC)和中性粒细胞-淋巴细胞比值(NLR)比较评分系统,以预测 Fournier 坏疽患者的预后。
这是一项回顾性队列研究,纳入了 2012 年至 2021 年的 Fournier 坏疽患者。计算并分析了 NLR、FGSI、UFGSI 和 LRINEC 值。使用受试者工作特征曲线(ROC)分析对每个评分系统进行分析,以确定其敏感性、特异性和曲线下面积(AUC)。使用 SPSS 版本 25 进行统计分析。
本研究共纳入 158 例患者。关于死亡率,FGSI 的 AUC 值最高为 80.9,敏感性为 91.7%,特异性为 68.5%。LRINEC 的 AUC 值为 61.1,敏感性为 79.2%,特异性为 64.2%。NLR 的 AUC 值为 63.7,敏感性为 91.7%,特异性为 98.1%。在住院时间方面,LRINEC 和 NLR 与死亡率相关,是重要的预测因子。
FGSI、UFGSI 和 NLR 是与 Fournier 坏疽患者死亡率相关的重要预测因子。FGSI 和 UFGSI 在预测死亡率预后方面具有最高的敏感性和特异性。此外,本研究强调了 NLR 和 LRINEC 作为住院时间重要预测因子的作用。本研究表明,FGSI 仍然是预测 Fournier 坏疽患者死亡率的可靠评分系统。
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