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dc.contributor.authorNatal Alvarez, Fernando
dc.contributor.authorConde Redondo, María Consuelo 
dc.contributor.authorSierrasesumaga Martin, Nicolás
dc.contributor.authorGarcía Viña, Alejandro
dc.contributor.authorMarfil Peña, Carmen
dc.contributor.authorBahillo Martínez, Alfonso 
dc.contributor.authorJojoa Acosta, Mario Fernando 
dc.contributor.authorTamayo Gómez, Eduardo 
dc.date.accessioned2025-12-01T08:17:32Z
dc.date.available2025-12-01T08:17:32Z
dc.date.issued2024
dc.identifier.citationJournal of Clinical Medicine, 2024, vol. 13, n. 19. p. 5757es
dc.identifier.issn2077-0383es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/80181
dc.descriptionProducción Científicaes
dc.description.abstractObjectives: 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.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMultidisciplinary Digital Publishing Institutees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationCOVID-19es
dc.subject.classificationerectile dysfunctiones
dc.subject.classificationcardiovascular diseasees
dc.subject.classificationpost-acute COVID-19 syndromees
dc.subject.classificationlogistic modelses
dc.titleDevelopment of a Risk Predictive Model for Erectile Dysfunction at 12 Months after COVID-19 Recovery: A Prospective Observational Studyes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3390/jcm13195757es
dc.relation.publisherversionhttps://www.mdpi.com/2077-0383/13/19/5757es
dc.identifier.publicationfirstpage5757es
dc.identifier.publicationissue19es
dc.identifier.publicationtitleJournal of Clinical Medicinees
dc.identifier.publicationvolume13es
dc.peerreviewedSIes
dc.description.projectInstituto de Salud Carlos III (proyecto PI21/00917, PI18/01238, CIBERINFEC CB21/13/00051)es
dc.description.projectJunta de Castilla y León (proyecto GRS 2546/A/22, GRS 2425/A/21, GRS 1922/A/19, GRS 2057/A/19)es
dc.description.projectConsejería de Educación de Castilla y León (proyecto VA256P20)es
dc.description.projectFundación Ramón Areces (proyecto CIVP19A5953)es
dc.identifier.essn2077-0383es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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