Really? You’re concerned if 13 people out of 135,000 get a side effect? I can’t imagine I’d leave the house much if I was afraid of hazard ratios like that.
Among 138,158 SGLT-2 inhibitor users, there were 13 cases of hospitalization for Fournier gangrene (unadjusted incidence rate, 15.0 per 100 000 person-years) compared with 24 cases (unadjusted incidence rate, 9.7 per 100 000 person-years) among 360 685 DPP-4 inhibitor users, corresponding to an adjusted rate difference of 6.7 excess hospitalizations per 100 000 person-years (95% CI, –2.8 to 16.1 per 100 000 person-years) and an adjusted hazard ratio of 1.73 (95% CI, 0.87-3.42) (Table 2).
Seriously - this is in a sample of largely obese, diabetics who already have a significantly higher risk of the issue (though still low). I’m not a medical professional, but this doesn’t seem to be a concern that I would rationally want to spend a lot of time worrying about.
Diabetes mellitus (DM) is a common comorbidity in Fournier’s gangrene with a higher risk of mortality and longer hospital stays in these patients due to the microvasculature of many soft tissues and organs being affected
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846449/
The main risk factors for Fournier’s gangrene are diabetes, obesity, immunosuppression (such as HIV), alcoholism, smoking, male sex, and the use of cytotoxic drugs [2]. Although many of the associated comorbid risk factors are common diseases, FG is rare. The published literature on its incidence in men and women is quite limited. Therefore, analysis from the US Inpatient Database of 593 civilian hospitals in 13 states in 2001 and 21 states in 2004 report that Fournier’s gangrene occurs in 1.6 of every 100,000 males per year, primarily between 50 and 79 years (3.3 of every 100,000).
The risk of Fournier’s gangrene in healthy people (i.e. you’re not an overweight, smoking diabetic) seems to be much less than 1 in 100,000. If it increases risk slightly while making 99,999 people live 15% longer, I think that is a trade-off most societies would take. Your own risk calculations may vary.
Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141785/