title: [Outcome prediction in patients with Fournier's gangrene].
abstract: Fournier's gangrene (FG) is a rare but life-threatening disease. There have been efforts to develop reliable tools for outcome prediction in FG patients, such as the Fournier's gangrene severity index (FGSI) and Uludag FGSI (UFGSI). In this study the FGSI and UFGSI were validated in a patient cohort and a nomogram for prediction of 30-day mortality was developed.A total of 44 patients with FG were included in the study. The two index scores were applied and statistical analyses were performed. The nomogram was calculated and the predictive accuracy was estimated using ROC curve analysis. The 30-day mortality rate was 30 %. High FGSI (median 6 versus 2; P = 0.002) and UFGSI (median 7 versus 3; P = 0.002) values were associated with 30-day mortality. The nomogram for the prediction of 30-day mortality (based on heart and respiratory rate) had an estimated predictive accuracy of 82.4 %. FGSI, UFGSI and FG nomogram are useful for outcome prediction in FG patients. The FG nomogram might improve the utilization of prediction tools in a clinical setting as it is easily applicable.
authors.affiliation: Urologische Universitätsklinik, Marienhospital, Ruhr-Universität Bochum, Widumerstraße 8, 44627, Herne, Deutschland, florian.roghmann@marienhospital-herne.de.
authors.forename: F
authors.initials: F
authors.lastname: Roghmann
authors.forename: C
authors.initials: C
authors.lastname: von Bodman
authors.forename: Z
authors.initials: Z
authors.lastname: Tian
authors.forename: M
authors.initials: M
authors.lastname: Brock
authors.forename: B
authors.initials: B
authors.lastname: Löppenberg
authors.forename: K
authors.initials: K
authors.lastname: Braun
authors.forename: A
authors.initials: A
authors.lastname: Hinkel
authors.forename: J
authors.initials: J
authors.lastname: Palisaar
authors.forename: J
authors.initials: J
authors.lastname: Noldus
mesh_terms: D005260:Female; D018934:Fournier Gangrene / Q000175:diagnosis* / Q000401:mortality*; D005858:Germany / Q000453:epidemiology; D006334:Heart Function Tests / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care / Q000379:methods*; D015203:Reproducibility of Results; D012129:Respiratory Function Tests / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000379:methods; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D016019:Survival Analysis