Development of a Risk Predictive Model for Erectile Dysfunction at 12 Months after COVID-19 Recovery: A Prospective Observational Study
Year: 2024
Type: article
Study design: Observational Study
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.
Source: Journal of Clinical Medicine
DOI: 10.3390/jcm13195757
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,955
Awards: G1446516550, G179125482, G2182051634, G2321427030, G2535791388, G2696892683, G2900613222, G3024476043, Dianas terapéuticas en sepsis: En busca del arca perdida (InDiana), G3337300373, G3372342820, G3447387512, G4653269144, G496409687, G4973496475, G5038900252, G5219288569, G5344250735, G5629513767, G5661294671, G5727520012, miRNAs: biomarcadores potenciales en para el diagnóstico del shock séptico post-quirúrgico (biomiR) ., G5971784529, G6104980783, G6440904142, G7434567621, G7948468997, G7976104340, G7987316332, G8003464106, G956451672
OpenAlex ID: W4402926794