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

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

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.</p

PROSTATIC CAPSULAR ARTERY RESISTIVE INDEX AND MALE BLADDER OUTLET OBSTRUCTION

Objective: This study aims to explore the relationship between resistive index (RI) with clinical parameters and degree of bladder outlet obstruction (BOO). Materials &amp; Methods: We performed clinical examination which included IPSS, uroflowmetry, transrectal prostate ultrasonography for measurement of prostatic volume and RI of prostatic capsular artery, and pressure flow study. We enrolled patients with lower urinary tract symptoms (LUTS) and prostatic volume of more than 20 ml. Statistical analysis utilised correlation and calculation of sensitivity, specificity, and area under curve of receiver operating characteristics. Results: Twenty-six patients provided consent to enroll in this study. Mean age was 66,5 ± 6,56 years, mean IPSS was 15,9 ± 7,27, and mean prostatic volume 36,0 ± 23,78. Kolmogorov-Smirnov test showed normal distribution of all study variables. There was significant correlation between RI and IPSS, Qmax, and BOO (p &lt; 0,05). Correlation coefficients (r) for prostatic volume and BOO was 0,392 (p = 0,048), for Qmax and BOO was -0.515 (p = 0,007), and RI with BOO was 0,414 (p = 0,035). Using cutoff values for RI ≥ 0,70 and BOO ≥ 4, we found sensitivity of 70,0%, specificity of 50,0%, positive predictive value of 46,7% and negative predictive value of 72,7%. Conclusion: Resistive index of prostatic capsular artery is correlated with BOO and has a role in diagnosis of BOO in men with LUTS related toBenign Prostatic Hyperplasia (BPH).Keywords: Resistive index, transrectal power doppler ultrasonography, lower urinary tract symptoms, bladder outlet obstruction