<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T18:07:52Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/80181" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/80181</identifier><datestamp>2025-12-01T20:08:51Z</datestamp><setSpec>com_10324_1191</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1379</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Natal Alvarez, Fernando</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Conde Redondo, María Consuelo</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Sierrasesumaga Martin, Nicolás</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García Viña, Alejandro</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Marfil Peña, Carmen</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Bahillo Martínez, Alfonso</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Jojoa Acosta, Mario Fernando</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Tamayo Gómez, Eduardo</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2025-12-01T08:17:32Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2025-12-01T08:17:32Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2024</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Journal of Clinical Medicine, 2024, vol. 13, n. 19. p. 5757</mods:identifier>
<mods:identifier type="issn">2077-0383</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/80181</mods:identifier>
<mods:identifier type="doi">10.3390/jcm13195757</mods:identifier>
<mods:identifier type="publicationfirstpage">5757</mods:identifier>
<mods:identifier type="publicationissue">19</mods:identifier>
<mods:identifier type="publicationtitle">Journal of Clinical Medicine</mods:identifier>
<mods:identifier type="publicationvolume">13</mods:identifier>
<mods:identifier type="essn">2077-0383</mods:identifier>
<mods: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.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:titleInfo>
<mods:title>Development of a Risk Predictive Model for Erectile Dysfunction at 12 Months after COVID-19 Recovery: A Prospective Observational Study</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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