评估 Fournier 坏疽患者院内死亡率的预后指标:在一家三级医院进行的为期 7 年的研究。

IF 1.4 Q3 UROLOGY & NEPHROLOGY
Soetojo Wirjopranoto, Mohammad Reza Affandi, Faisal Yusuf Ashari, Yufi Aulia Azmi, Kevin Muliawan Soetanto
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引用次数: 0

摘要

背景:福尼尔坏疽评分指数(Fournier's Gangrene Scoring Index,FGSI)、简化福尼尔坏疽评分指数(Simplified FGSI,SFGSI)、乌鲁达格福尼尔坏疽评分指数(Uludag FGSI,UFGSI)、坏死性实验室风险指标(Laboratory Risk Indicator for Necrotizing,LRINEC)、中性粒细胞-淋巴细胞比值(Nutrophil-Lymphocyte ratio,NLR)和血小板-淋巴细胞比值(Plate-lymphocyte ratio,PLR)已被设计用于评估福尼尔坏疽(FG)患者的死亡风险。然而,这些指标在预测入院时死亡率方面的有效性仍不确定。本研究旨在评估 FG 各项指标对院内死亡率的预后效果:本研究分析了 2014 年至 2020 年印度尼西亚苏托莫博士综合医院急诊科的 123 名患者。数据包括人口统计学、伤口培养以及 FGSI、UFGSI、SFGSI、NLR、PLR 和 LRINEC 等参数。此外,还记录了院内死亡率情况。对数据进行了比较、敏感性、特异性和回归分析:在我们的研究中,123 名患者的中位年龄为 52 岁,死亡率为 17.9%。大多数患者为男性(91.1%),最常见的位置是阴囊(54.5%)。非幸存者的中位住院时间(6.5 天)短于幸存者(14 天)。糖尿病是最常见的合并症(61.8%)。FGSI和UFGSI指标的敏感性和特异性最高。多变量逻辑回归确定 LoS 和 FGSI 是死亡率的独立预测因素:结论:入院时的 FGSI 和 UFGSI 显示出最高的灵敏度和特异性,住院时间和 FGSI 是决定死亡率的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating prognostic indicators for in-hospital mortality in Fournier's gangrene: a 7-year study in a tertiary hospital.

Background: Fournier's Gangrene Scoring Index (FGSI), Simplified FGSI (SFGSI), Uludag FGSI (UFGSI), Laboratory Risk Indicator for Necrotizing (LRINEC), Neutrophil-Lymphocyte ratio (NLR), and Platelet-lymphocyte ratio (PLR) have been devised to assess the risk of mortality in Fournier's Gangrene (FG) patients. However, the effectiveness of these indicators in predicting mortality at the time of admission remains uncertain. The aim of this study is to assess the prognostic efficacy of FG's various indicators on in-hospital mortality.

Methods: This study analyzed 123 patients from Dr. Soetomo General Hospital's emergency department in Indonesia from 2014 to 2020. Data included demographics, wound cultures, and parameters like FGSI, UFGSI, SFGSI, NLR, PLR, and LRINEC. In-hospital mortality status was also recorded. The data was subjected to comparative, sensitivity, specificity and regression analyses.

Results: In our study of 123 patients, the median age was 52, with a mortality rate of 17.9%. The majority of patients were male (91.1%) and the most common location was scrotal (54.5%). Non-survivors had a shorter median stay (6.5 days) compared to survivors (14 days). Diabetes was the most prevalent comorbidity (61.8%). The highest sensitivity and specificity were found in FGSI and UFGSI indicators. Multivariate logistic regression identified LoS and FGSI as independent predictors of mortality.

Conclusions: FGSI and UFGSI, upon admission, demonstrated the highest sensitivity and specificity, with hospital stay duration and FGSI as key mortality determinants.

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来源期刊
CiteScore
2.10
自引率
35.70%
发文量
72
审稿时长
10 weeks
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