dc.contributor.author | Baluja González, María Aurora | |
dc.contributor.author | Rodríguez Mañero, Moises | |
dc.contributor.author | Cordero, A. | |
dc.contributor.author | Kreidieh, B. | |
dc.contributor.author | IGLESIAS ALVAREZ, DIEGO | |
dc.contributor.author | García Acuña, José María | |
dc.contributor.author | Martínez Gómez, Álvaro | |
dc.contributor.author | Agra Bermejo, Rosa Maria | |
dc.contributor.author | Álvarez Rodríguez, Leyre | |
dc.contributor.author | ABOU JOKH CASAS, CHARIGAN | |
dc.contributor.author | López-Ratón, M. | |
dc.contributor.author | Gude Sampedro, Francisco | |
dc.contributor.author | Álvarez Escudero, Julián | |
dc.contributor.author | González Juanatey, José Ramón | |
dc.date.accessioned | 2021-09-29T12:42:58Z | |
dc.date.available | 2021-09-29T12:42:58Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1479-1641 | |
dc.identifier.other | https://www.ncbi.nlm.nih.gov/pubmed/31841030 | es |
dc.identifier.uri | http://hdl.handle.net/20.500.11940/15374 | |
dc.description.abstract | BACKGROUND 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.iso | eng | |
dc.rights | Atribución-NoComercial 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject.mesh | Risk Factors | * |
dc.subject.mesh | Heart Diseases | * |
dc.subject.mesh | Middle Aged | * |
dc.subject.mesh | Acute Coronary Syndrome | * |
dc.subject.mesh | Cerebrovascular Disorders | * |
dc.subject.mesh | Incidence | * |
dc.subject.mesh | Predictive Value of Tests | * |
dc.subject.mesh | Risk Assessment | * |
dc.subject.mesh | Humans | * |
dc.subject.mesh | Time Factors | * |
dc.subject.mesh | Decision Support Techniques | * |
dc.subject.mesh | Diabetes Mellitus | * |
dc.subject.mesh | Aged | * |
dc.subject.mesh | Retrospective Studies | * |
dc.subject.mesh | Prognosis | * |
dc.title | Prediction of major adverse cardiac, cerebrovascular events in patients with diabetes after acute coronary syndrome | es |
dc.type | Artigo | es |
dc.authorsophos | Baluja, A. | |
dc.authorsophos | Rodríguez-Mañero, M. | |
dc.authorsophos | Cordero, A. | |
dc.authorsophos | Kreidieh, B. | |
dc.authorsophos | Iglesias-Alvarez, D. | |
dc.authorsophos | García-Acuña, J. M. | |
dc.authorsophos | Martínez-Gómez, A. | |
dc.authorsophos | Agra-Bermejo, R. | |
dc.authorsophos | Alvarez-Rodríguez, L. | |
dc.authorsophos | Abou-Jokh, C. | |
dc.authorsophos | López-Ratón, M. | |
dc.authorsophos | Gude-Sampedro, F. | |
dc.authorsophos | Alvarez-Escudero, J. | |
dc.authorsophos | González-Juanatey, J. R. | |
dc.identifier.doi | 10.1177/1479164119892137 | |
dc.identifier.pmid | 31841030 | |
dc.identifier.sophos | 30574 | |
dc.issue.number | 2019 | es |
dc.journal.title | Diabetes & Vascular Disease Research | es |
dc.organization | Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Anestesioloxía e reanimación | |
dc.organization | Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Cardioloxía | |
dc.organization | Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Epidemioloxía Clínica | |
dc.organization | Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS) | |
dc.page.initial | 119892137 | es |
dc.relation.publisherversion | https://journals.sagepub.com/doi/pdf/10.1177/1479164119892137 | |
dc.rights.accessRights | openAccess | |
dc.subject.decs | pronóstico | * |
dc.subject.decs | incidencia | * |
dc.subject.decs | factores de riesgo | * |
dc.subject.decs | pruebas de valores predictivos | * |
dc.subject.decs | estudios retrospectivos | * |
dc.subject.decs | mediana edad | * |
dc.subject.decs | trastornos cerebrovasculares | * |
dc.subject.decs | síndrome coronario agudo | * |
dc.subject.decs | anciano | * |
dc.subject.decs | evaluación de riesgos | * |
dc.subject.decs | humanos | * |
dc.subject.decs | factores de tiempo | * |
dc.subject.decs | enfermedades cardíacas | * |
dc.subject.decs | técnicas de apoyo en la toma de decisiones | * |
dc.subject.decs | diabetes mellitus | * |
dc.subject.keyword | CHUS | |
dc.subject.keyword | IDIS | |
dc.typefides | Artículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis) | |
dc.typesophos | Artículo Original | |
dc.volume.number | 2019 | es |