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dc.contributor.authorBaluja González, María Aurora 
dc.contributor.authorRodríguez Mañero, Moises 
dc.contributor.authorCordero, A.
dc.contributor.authorKreidieh, B.
dc.contributor.authorIGLESIAS ALVAREZ, DIEGO 
dc.contributor.authorGarcía Acuña, José María 
dc.contributor.authorMartínez Gómez, Álvaro 
dc.contributor.authorAgra Bermejo, Rosa Maria 
dc.contributor.authorÁlvarez Rodríguez, Leyre
dc.contributor.authorABOU JOKH CASAS, CHARIGAN 
dc.contributor.authorLópez-Ratón, M.
dc.contributor.authorGude Sampedro, Francisco 
dc.contributor.authorÁlvarez Escudero, Julián
dc.contributor.authorGonzález Juanatey, José Ramón 
dc.date.accessioned2021-09-29T12:42:58Z
dc.date.available2021-09-29T12:42:58Z
dc.date.issued2019
dc.identifier.issn1479-1641
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pubmed/31841030es
dc.identifier.urihttp://hdl.handle.net/20.500.11940/15374
dc.description.abstractBACKGROUND AND OBJECTIVES: The risk of major adverse cardiac and cerebrovascular events following acute coronary syndrome is increased in people with diabetes. Predicting out-of-hospital outcomes upon follow-up remains difficult, and no simple, well-validated tools exist for this population at present. We aim to evaluate several factors in a competing risks model for actionable evaluation of the incidence of major adverse cardiac and cerebrovascular events in diabetic outpatients following acute coronary syndrome. METHODS: Retrospective analysis of consecutive patients admitted for acute coronary syndrome in two centres. A Fine-Gray competing risks model was adjusted to predict major adverse cardiac and cerebrovascular events and all-cause mortality. A point-based score is presented that is based on this model. RESULTS: Out of the 1400 patients, there were 783 (55.9%) with at least one major adverse cardiac and cerebrovascular event (417 deaths). Of them, 143 deaths were due to non-major adverse cardiac and cerebrovascular events. Predictive Fine-Gray models show that the 'PG-HACKER' risk factors (gender, age, peripheral arterial disease, left ventricle function, previous congestive heart failure, Killip class and optimal medical therapy) were associated to major adverse cardiac and cerebrovascular events. CONCLUSION: The PG-HACKER score is a simple and effective tool that is freely available and easily accessible to physicians and patients. The PG-HACKER score can predict major adverse cardiac and cerebrovascular events following acute coronary syndrome in patients with diabetes.en
dc.language.isoeng
dc.rightsAtribución-NoComercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.meshRisk Factors*
dc.subject.meshHeart Diseases*
dc.subject.meshMiddle Aged*
dc.subject.meshAcute Coronary Syndrome*
dc.subject.meshCerebrovascular Disorders*
dc.subject.meshIncidence*
dc.subject.meshPredictive Value of Tests*
dc.subject.meshRisk Assessment*
dc.subject.meshHumans*
dc.subject.meshTime Factors*
dc.subject.meshDecision Support Techniques*
dc.subject.meshDiabetes Mellitus*
dc.subject.meshAged*
dc.subject.meshRetrospective Studies*
dc.subject.meshPrognosis*
dc.titlePrediction of major adverse cardiac, cerebrovascular events in patients with diabetes after acute coronary syndromees
dc.typeArtigoes
dc.authorsophosBaluja, A.
dc.authorsophosRodríguez-Mañero, M.
dc.authorsophosCordero, A.
dc.authorsophosKreidieh, B.
dc.authorsophosIglesias-Alvarez, D.
dc.authorsophosGarcía-Acuña, J. M.
dc.authorsophosMartínez-Gómez, A.
dc.authorsophosAgra-Bermejo, R.
dc.authorsophosAlvarez-Rodríguez, L.
dc.authorsophosAbou-Jokh, C.
dc.authorsophosLópez-Ratón, M.
dc.authorsophosGude-Sampedro, F.
dc.authorsophosAlvarez-Escudero, J.
dc.authorsophosGonzález-Juanatey, J. R.
dc.identifier.doi10.1177/1479164119892137
dc.identifier.pmid31841030
dc.identifier.sophos30574
dc.issue.number2019es
dc.journal.titleDiabetes & Vascular Disease Researches
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Anestesioloxía e reanimación
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Cardioloxía
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Epidemioloxía Clínica
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)
dc.page.initial119892137es
dc.relation.publisherversionhttps://journals.sagepub.com/doi/pdf/10.1177/1479164119892137
dc.rights.accessRightsopenAccess
dc.subject.decspronóstico*
dc.subject.decsincidencia*
dc.subject.decsfactores de riesgo*
dc.subject.decspruebas de valores predictivos*
dc.subject.decsestudios retrospectivos*
dc.subject.decsmediana edad*
dc.subject.decstrastornos cerebrovasculares*
dc.subject.decssíndrome coronario agudo*
dc.subject.decsanciano*
dc.subject.decsevaluación de riesgos*
dc.subject.decshumanos*
dc.subject.decsfactores de tiempo*
dc.subject.decsenfermedades cardíacas*
dc.subject.decstécnicas de apoyo en la toma de decisiones*
dc.subject.decsdiabetes mellitus*
dc.subject.keywordCHUS
dc.subject.keywordIDIS
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)
dc.typesophosArtículo Original
dc.volume.number2019es


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Atribución-NoComercial 4.0 Internacional
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