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比较不同评分系统对 Fournier 坏疽患者住院死亡率的预测。

Comparison of different scoring systems for predicting in-hospital mortality for patients with Fournier gangrene.

机构信息

Department of Urology, Faculty of Medicine, Universitas Airlangga-Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.

Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

出版信息

World J Urol. 2023 Oct;41(10):2751-2757. doi: 10.1007/s00345-023-04552-3. Epub 2023 Aug 14.

Abstract

PURPOSE

To compare different scoring systems for predicting in-hospital mortality in patients with Fournier gangrene (FG).

METHODS

A comprehensive literature search was performed to find all scoring systems that have been proposed previously as a predictor for in-hospital mortality in patients with FG. Data of all patients with FG who were hospitalized in one of Indonesia's largest tertiary referral hospitals between 2012 and 2022 were used. The receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of the scoring systems.

RESULTS

Ten scoring systems were found, i.e., Fournier's Gangrene Severity Index (FGSI), Uludag FGSI, simplified FGSI, NUMUNE Fournier score (NFS), Laboratory Risk Indicator for Necrotizing Fasciitis, age-adjusted Charlson comorbidity index, sequential organ failure assessment (SOFA), quick SOFA, acute physiology and chronic health evaluation II, and surgery APGAR score (SAS). Of 164 FG patients included in the analyses, 26.4% died during hospitalization. All scoring systems except SAS could predict in-hospital mortality of patients with FG. Three scoring systems had areas under the ROC curve (AUROC) higher than 0.8, i.e., FGSI (AUROC 0.905, 95% confidence interval (CI) 0.860-0.950), SOFA (AUROC 0.830, 95% CI 0.815-0.921), and NFS (AUROC 0.823, 95% CI 0.739-0.906). Both FGSI and SOFA had sensitivity and NPV of 1.0, whereas NFS had a sensitivity of 0.74 and an NPV of 0.91.

CONCLUSION

This study shows that FGSI and SOFA are the most reliable scoring systems to predict in-hospital mortality in FG, as indicated by the high AUROC and perfect sensitivity and NPV.

摘要

目的

比较不同评分系统在预测 Fournier 坏疽(FG)患者住院病死率中的作用。

方法

系统检索了所有先前提出的用于预测 FG 患者住院病死率的评分系统。使用了 2012 年至 2022 年期间在印度尼西亚最大的三级转诊医院之一住院的所有 FG 患者的数据。进行了受试者工作特征(ROC)曲线分析,以评估评分系统的诊断性能。

结果

共发现 10 种评分系统,即 Fournier 坏疽严重程度指数(FGSI)、乌尔达格 FGSI、简化 FGSI、NUMUNE Fournier 评分(NFS)、实验室风险指标坏死性筋膜炎、年龄调整 Charlson 合并症指数、序贯器官衰竭评估(SOFA)、快速 SOFA、急性生理学和慢性健康评估 II 以及手术 APGAR 评分(SAS)。在纳入分析的 164 例 FG 患者中,有 26.4%在住院期间死亡。除 SAS 外,所有评分系统均能预测 FG 患者的住院病死率。有 3 种评分系统的 ROC 曲线下面积(AUROC)大于 0.8,即 FGSI(AUROC 0.905,95%置信区间[CI] 0.860-0.950)、SOFA(AUROC 0.830,95%CI 0.815-0.921)和 NFS(AUROC 0.823,95%CI 0.739-0.906)。FGSI 和 SOFA 的灵敏度和 NPV 均为 1.0,而 NFS 的灵敏度为 0.74,NPV 为 0.91。

结论

本研究表明,FGSI 和 SOFA 是预测 FG 住院病死率最可靠的评分系统,其 AUROC 较高,灵敏度和 NPV 均为 1.0。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6e/10581919/0d55980aaac2/345_2023_4552_Fig1_HTML.jpg

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