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dc.contributor.authorLoucera, Carloses_ES
dc.contributor.authorCarmona, Rosarioes_ES
dc.contributor.authorEsteban-Medina, Marinaes_ES
dc.contributor.authorBostelmann, Gerrites_ES
dc.contributor.authorMuñoyerro-Muñiz, Doloreses_ES
dc.contributor.authorVillegas, Románes_ES
dc.contributor.authorPeña-Chilet, Maríaes_ES
dc.contributor.authorDopazo, Joaquínes_ES
dc.date.accessioned2024-04-04T09:44:30Z-
dc.date.available2024-04-04T09:44:30Z-
dc.date.issued2023-10-06-
dc.identifier.citationLoucera, Carlos; Carmona, Rosario; Esteban-Medina, Marina; Bostelmann, Gerrit; Muñoyerro-Muñiz, Dolores; Villegas, Román; Peña-Chilet, María; Dopazo, Joaquín; 2023; "Supplementary Material: Real-world evidence with a retrospective cohort of 15,968 COVID-19 hospitalized patients suggests 21 new effective treatments [Dataset]"; BMC; https://doi.org/10.1186/s12985-023-02195-9es_ES
dc.identifier.urihttp://hdl.handle.net/10261/352841-
dc.descriptionSupplementary Tables: Table S1. Data imported from BPS for each patient: code and definition of the variable.-- Table S2: Log Hazard ratios obtained for the drugs tested, along with standard deviations (SDs), upper and lower coefficient intervals (CI), nominal and FDR-adjusted p-values. Also, Lymphocyte proliferation values (see Methods) along with standard deviations (SDs), upper and lower coefficient intervals (CI), nominal and FDR-adjusted p-values. The two last columns indicate the drugs used in the machine learning drug repurposing prediction study and the proteins targeted by the drug. Targets marked with an * were those analyzed in the machine learning drug repurposing.es_ES
dc.description.abstract[Purpose] Despite the extensive vaccination campaigns in many countries, COVID-19 is still a major worldwide health problem because of its associated morbidity and mortality. Therefore, finding efficient treatments as fast as possible is a pressing need. Drug repurposing constitutes a convenient alternative when the need for new drugs in an unexpected medical scenario is urgent, as is the case with COVID-19.es_ES
dc.description.abstract[Methods] Using data from a central registry of electronic health records (the Andalusian Population Health Database), the effect of prior consumption of drugs for other indications previous to the hospitalization with respect to patient outcomes, including survival and lymphocyte progression, was studied on a retrospective cohort of 15,968 individuals, comprising all COVID-19 patients hospitalized in Andalusia between January and November 2020.es_ES
dc.description.abstract[Results] Covariate-adjusted hazard ratios and analysis of lymphocyte progression curves support a significant association between consumption of 21 different drugs and better patient survival. Contrarily, one drug, furosemide, displayed a significant increase in patient mortality.es_ES
dc.description.abstract[Conclusions] In this study we have taken advantage of the availability of a regional clinical database to study the effect of drugs, which patients were taking for other indications, on their survival. The large size of the database allowed us to control covariates effectively.es_ES
dc.description.sponsorshipThis research was funded by Spanish Ministry of Science and Innovation (grant PID2020-117979RB-I00), the Instituto de Salud Carlos III (ISCIII), co-funded with European Regional Development Funds (ERDF) (grant IMP/00019), and has also been funded by Consejería de Salud y Consumo, Junta de Andalucía (grants COVID-0012-2020, PS-2020-342 and IE19_259 FPS) and the postdoctoral contract of Carlos Loucera (PAIDI2020- DOC_00350) co-funded by the European Social Fund (FSE) 2014–2020.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherBioMed Centrales_ES
dc.publisherSpringer Naturees_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117979RB-I00/ES/MEDICINA INTERCEPTIVA, DESCUBRIMIENTO DE DIANAS Y REUTILIZACION DE FARMACOS MEDIANTE MODELOS MECANISTICOS Y APRENDIZAJE SUPERVISADO/es_ES
dc.relation.isreferencedbyLoucera, Carlos; Carmona, Rosario; Esteban-Medina, Marina; Bostelmann, Gerrit; Muñoyerro-Muñiz, Dolores; Villegas, Román; Peña-Chilet, María; Dopazo, Joaquín. Real-world evidence with a retrospective cohort of 15,968 COVID-19 hospitalized patients suggests 21 new effective treatments. https://doi.org/10.1186/s12985-023-02195-9. http://hdl.handle.net/10261/352838es_ES
dc.rightsopenAccesses_ES
dc.subjectDrug repurposinges_ES
dc.subjectCOVID-19es_ES
dc.subjectReal world dataes_ES
dc.subjectReal world evidencees_ES
dc.subjectRetrospective cohortes_ES
dc.titleSupplementary Material: Real-world evidence with a retrospective cohort of 15,968 COVID-19 hospitalized patients suggests 21 new effective treatmentses_ES
dc.typedatasetes_ES
dc.identifier.doi10.1186/s12985-023-02195-9-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1186/s12985-023-02195-9es_ES
dc.identifier.e-issn1743-422X-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es_ES
dc.contributor.funderAgencia Estatal de Investigación (España)es_ES
dc.contributor.funderInstituto de Salud Carlos IIIes_ES
dc.contributor.funderJunta de Andalucíaes_ES
dc.contributor.funderEuropean Commissiones_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011011es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100004587es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_ddb1es_ES
item.cerifentitytypeProducts-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_ddb1-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairetypedataset-
Aparece en las colecciones: (IBIS) Conjuntos de datos
(PTI Salud Global) Colección Especial COVID-19
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