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

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

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

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

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