Comparison of different scoring systems for predicting in-hospital mortality for patients with Fournier gangrene
Issued Date
2023-01-01
Resource Type
ISSN
07244983
eISSN
14338726
Scopus ID
2-s2.0-85167930107
Journal Title
World Journal of Urology
Rights Holder(s)
SCOPUS
Bibliographic Citation
World Journal of Urology (2023)
Suggested Citation
Azmi Y.A., Alkaff F.F., Renaldo J., Wirjopranoto S., Prasetiyanti R., Soetanto K.M., Salamah S., Purba A.K.R., Postma M.J. Comparison of different scoring systems for predicting in-hospital mortality for patients with Fournier gangrene. World Journal of Urology (2023). doi:10.1007/s00345-023-04552-3 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/88952
Title
Comparison of different scoring systems for predicting in-hospital mortality for patients with Fournier gangrene
Other Contributor(s)
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.