Publication date: Sep 27, 2024

Objectives: To develop a risk prediction model for the identification of features involved in the prediction of erectile dysfunction (ED) at 12 months following COVID-19 recovery. Methods: We performed an observational prospective multicentre study. Participants were classified according to their history of COVID-19: (I) patients with a past history of COVID-19 and (II) patients without a previous microbiological diagnosis of COVID-19. A total of 361 patients (past history of COVID-19, n = 166; no past history of COVID-19, n = 195) were assessed from January 2022 to March 2023. Patients with a past history of COVID-19 were assessed at 12 months following COVID-19 recovery. The primary outcome measure was ED, assessed through the 5-item International Index of Erectile Function (IIEF-5). Data concerning epidemiologic variables, comorbidities and active treatment were also collected. We performed a binary logistic regression to develop a risk predictive model. Among the models developed, we selected the one with the higher Area Under the Curve (AUC). Results: The median age was 55 years in both groups. The ED prevalence was 55. 9% in patients with past history of COVID-19 and 44. 1% in those with no past history of COVID-19. The best predictive model developed for ED comprised 40 variables and had an AUC of 0. 8. Conclusions: We developed a regression model for the prediction of ED 12 months after COVID-19 recovery. The application of our predictive tool in a community setting could eventually prevent the adverse effects of ED on cardiovascular health and the associated unfavourable economic impact.

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