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Título
Development of a Risk Predictive Model for Erectile Dysfunction at 12 Months after COVID-19 Recovery: A Prospective Observational Study
Autor
Año del Documento
2024
Editorial
Multidisciplinary Digital Publishing Institute
Descripción
Producción Científica
Documento Fuente
Journal of Clinical Medicine, 2024, vol. 13, n. 19. p. 5757
Zusammenfassung
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.
Palabras Clave
COVID-19
erectile dysfunction
cardiovascular disease
post-acute COVID-19 syndrome
logistic models
ISSN
2077-0383
Revisión por pares
SI
Patrocinador
Instituto de Salud Carlos III (proyecto PI21/00917, PI18/01238, CIBERINFEC CB21/13/00051)
Junta de Castilla y León (proyecto GRS 2546/A/22, GRS 2425/A/21, GRS 1922/A/19, GRS 2057/A/19)
Consejería de Educación de Castilla y León (proyecto VA256P20)
Fundación Ramón Areces (proyecto CIVP19A5953)
Junta de Castilla y León (proyecto GRS 2546/A/22, GRS 2425/A/21, GRS 1922/A/19, GRS 2057/A/19)
Consejería de Educación de Castilla y León (proyecto VA256P20)
Fundación Ramón Areces (proyecto CIVP19A5953)
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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Dateien zu dieser Ressource
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767.1Kb
Formato:
Adobe PDF
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