Fournier's Gangrene: Microbiological Profile and Risk Factors for Mortality: Review of 97 Cases.

OBJECTIVE

Fournier's gangrene (FG) is a rare necrotizing fasciitis affecting genital and perianal areas. This study aimed to provide data on predicting factors, mortality rates, and factors affecting mortality in comparison of survivors and non-survivors in patients with FG.

MATERIALS AND METHODS

This study included a retrospective analysis of patients diagnosed with FG between 2008 and 2018.

RESULTS

A total of 97 patients with FG were included in this study. Of the patients, 72 (74%) were male. The mean age was 56.03±13.92 years, and the median was 57 (21-90). The mortality rate was 21.6%. The most frequently isolated microorganism from tissue and blood cultures was (43%-42%). The median Fournier's Gangrene Severity Index (FGSI) and Uludağ FGSI (UFGSI) scores were 4 (0-20) and 5 (1-22), respectively. In the univariate model, mortality risk increases 7.18 times (=0.001) in patients with two or more comorbidities, 1.31 times as the FGSI score increases (<0.001), 1.28 times as the UFGSI score increases (<0.001). When the cut-off value was set as 8 for the FGSI score, the sensitivity was 71.43%, and the specificity was 73.68%. The sensitivity was 73.43%, and the specificity was 75% when the cut-off value was set as 6 for the UFGSI score. In the univariate model, the mortality risk of those with hypotension was 6.07 times higher (=0.003); as the platelet count increased, mortality risk decreased (odds ratio [OR]=0.99; =0.02). The mortality risk of those hospitalized in the intensive care unit (ICU) was 16.5 times higher than those followed in the ward (<0.001). In the multivariate model, this ratio was 6.49.

CONCLUSION

We concluded that FGSI and UFGSI scores could be used to predict mortality. Management of FG requires a multidisciplinary approach. Empiric treatment should include carbapenems and be de-escalated once getting the culture results. Authors from different centers should report their experiences to help reveal the ideal treatment and evaluate the consequences.