Preprint Article Version 1 This version is not peer-reviewed

Development of a Risk Predictive Model for Erectile Dysfunction at 12 months after COVID-19 Recovery: A Prospective Observational Study

Version 1 : Received: 10 September 2024 / Approved: 11 September 2024 / Online: 11 September 2024 (15:21:37 CEST)

How to cite: Natal Alvarez, F.; Conde Redondo, M. C.; Sierrasesumaga Martin, N.; Garcia Viña, A.; Marfil Peña, C.; Bahillo Martinez, A.; Jojoa, M.; Tamayo Gomez, E. Development of a Risk Predictive Model for Erectile Dysfunction at 12 months after COVID-19 Recovery: A Prospective Observational Study. Preprints 2024, 2024090904. https://doi.org/10.20944/preprints202409.0904.v1 Natal Alvarez, F.; Conde Redondo, M. C.; Sierrasesumaga Martin, N.; Garcia Viña, A.; Marfil Peña, C.; Bahillo Martinez, A.; Jojoa, M.; Tamayo Gomez, E. Development of a Risk Predictive Model for Erectile Dysfunction at 12 months after COVID-19 Recovery: A Prospective Observational Study. Preprints 2024, 2024090904. https://doi.org/10.20944/preprints202409.0904.v1

Abstract

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.

Keywords

COVID-19; Erectile dysfunction; Cardiovascular disease; Post-Acute COVID-19 syndrome; Logistic Models

Subject

Medicine and Pharmacology, Urology and Nephrology

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