Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome

Detalhes bibliográficos
Autor(a) principal: Neves,Vítor Boniatti
Data de Publicação: 2022
Outros Autores: Roman,Raquel Melchior, Vendruscolo,Tiago, Heineck,Gilberto, Mattos,Carlos Alberto Santos de, Mattos,Eduardo Ilha de, Bin,Luiz Carlos Pereira, Boclin,Karine de Lima Sírio, Roman,Marcelo Fialho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: International Journal of Cardiovascular Sciences (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000200174
Resumo: Abstract Background The wide range of clinical presentations of acute coronary syndrome (ACS) makes it indispensible to use tools for risk stratification and for appropriate risks management; thus, the use of prognosis scores is recommended in the immediat clinical decision-making. Objective To validate the Global Registry of Acute Coronary Events (GRACE) score as a predictor of in-hospital and 6-month post-discharge mortality in a population diagnosed with ACS. Methods This is a prospective cohort study of consecutive patients diagnosed with ACS between May and December 2018. GRACE scores were calculated, as well as their predictive value for in-hospital and 6-month post-discharge mortality. The validity of the model was assessed by two techniques: discriminative power using the area under the receiver operating characteristic curve (AUC) and goodness-of-fit, using the Hosmer-Lemeshow (HL) test, at the 5% level of significance. Results A total of 160 patients were included, mean age 64 (±10.9) years; of which 60% were men. The risk model showed to have satisfactory ability to predict both in-hospital mortality, with an area under the curve (AUC) of 0.76 (95% confidence interval [CI], 0.57-0.95; p = 0.014), and 6-month post-discharge mortality, with AUC of 0.78 (95%CI, 0.62-0.94), p = 0.002. The HL test indicated good-fit for both models of the GRACE score. Conclusion In this study, the GRACE risk score for predicting mortality was appropriately validated in patients with ACS, with good discriminative power and goodness-of-fit. The results suggest that the GRACE score is appropriate for clinical use in our setting.
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spelling Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary SyndromeAcute Coronary SyndromeMortalityPrognosisAbstract Background The wide range of clinical presentations of acute coronary syndrome (ACS) makes it indispensible to use tools for risk stratification and for appropriate risks management; thus, the use of prognosis scores is recommended in the immediat clinical decision-making. Objective To validate the Global Registry of Acute Coronary Events (GRACE) score as a predictor of in-hospital and 6-month post-discharge mortality in a population diagnosed with ACS. Methods This is a prospective cohort study of consecutive patients diagnosed with ACS between May and December 2018. GRACE scores were calculated, as well as their predictive value for in-hospital and 6-month post-discharge mortality. The validity of the model was assessed by two techniques: discriminative power using the area under the receiver operating characteristic curve (AUC) and goodness-of-fit, using the Hosmer-Lemeshow (HL) test, at the 5% level of significance. Results A total of 160 patients were included, mean age 64 (±10.9) years; of which 60% were men. The risk model showed to have satisfactory ability to predict both in-hospital mortality, with an area under the curve (AUC) of 0.76 (95% confidence interval [CI], 0.57-0.95; p = 0.014), and 6-month post-discharge mortality, with AUC of 0.78 (95%CI, 0.62-0.94), p = 0.002. The HL test indicated good-fit for both models of the GRACE score. Conclusion In this study, the GRACE risk score for predicting mortality was appropriately validated in patients with ACS, with good discriminative power and goodness-of-fit. The results suggest that the GRACE score is appropriate for clinical use in our setting.Sociedade Brasileira de Cardiologia2022-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000200174International Journal of Cardiovascular Sciences v.35 n.2 2022reponame:International Journal of Cardiovascular Sciences (Online)instname:Sociedade Brasileira de Cardiologia (SBC)instacron:SBC10.36660/ijcs.20210019info:eu-repo/semantics/openAccessNeves,Vítor BoniattiRoman,Raquel MelchiorVendruscolo,TiagoHeineck,GilbertoMattos,Carlos Alberto Santos deMattos,Eduardo Ilha deBin,Luiz Carlos PereiraBoclin,Karine de Lima SírioRoman,Marcelo Fialhoeng2022-03-11T00:00:00Zoai:scielo:S2359-56472022000200174Revistahttp://publicacoes.cardiol.br/portal/ijcshttps://old.scielo.br/oai/scielo-oai.phptailanerodrigues@cardiol.br||revistaijcs@cardiol.br2359-56472359-4802opendoar:2022-03-11T00:00International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)false
dc.title.none.fl_str_mv Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
title Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
spellingShingle Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
Neves,Vítor Boniatti
Acute Coronary Syndrome
Mortality
Prognosis
title_short Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
title_full Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
title_fullStr Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
title_full_unstemmed Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
title_sort Validation of the Grace Risk Score to Predict In-Hospital and 6-Month Post-Discharge Mortality in Patients with Acute Coronary Syndrome
author Neves,Vítor Boniatti
author_facet Neves,Vítor Boniatti
Roman,Raquel Melchior
Vendruscolo,Tiago
Heineck,Gilberto
Mattos,Carlos Alberto Santos de
Mattos,Eduardo Ilha de
Bin,Luiz Carlos Pereira
Boclin,Karine de Lima Sírio
Roman,Marcelo Fialho
author_role author
author2 Roman,Raquel Melchior
Vendruscolo,Tiago
Heineck,Gilberto
Mattos,Carlos Alberto Santos de
Mattos,Eduardo Ilha de
Bin,Luiz Carlos Pereira
Boclin,Karine de Lima Sírio
Roman,Marcelo Fialho
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Neves,Vítor Boniatti
Roman,Raquel Melchior
Vendruscolo,Tiago
Heineck,Gilberto
Mattos,Carlos Alberto Santos de
Mattos,Eduardo Ilha de
Bin,Luiz Carlos Pereira
Boclin,Karine de Lima Sírio
Roman,Marcelo Fialho
dc.subject.por.fl_str_mv Acute Coronary Syndrome
Mortality
Prognosis
topic Acute Coronary Syndrome
Mortality
Prognosis
description Abstract Background The wide range of clinical presentations of acute coronary syndrome (ACS) makes it indispensible to use tools for risk stratification and for appropriate risks management; thus, the use of prognosis scores is recommended in the immediat clinical decision-making. Objective To validate the Global Registry of Acute Coronary Events (GRACE) score as a predictor of in-hospital and 6-month post-discharge mortality in a population diagnosed with ACS. Methods This is a prospective cohort study of consecutive patients diagnosed with ACS between May and December 2018. GRACE scores were calculated, as well as their predictive value for in-hospital and 6-month post-discharge mortality. The validity of the model was assessed by two techniques: discriminative power using the area under the receiver operating characteristic curve (AUC) and goodness-of-fit, using the Hosmer-Lemeshow (HL) test, at the 5% level of significance. Results A total of 160 patients were included, mean age 64 (±10.9) years; of which 60% were men. The risk model showed to have satisfactory ability to predict both in-hospital mortality, with an area under the curve (AUC) of 0.76 (95% confidence interval [CI], 0.57-0.95; p = 0.014), and 6-month post-discharge mortality, with AUC of 0.78 (95%CI, 0.62-0.94), p = 0.002. The HL test indicated good-fit for both models of the GRACE score. Conclusion In this study, the GRACE risk score for predicting mortality was appropriately validated in patients with ACS, with good discriminative power and goodness-of-fit. The results suggest that the GRACE score is appropriate for clinical use in our setting.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000200174
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-56472022000200174
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.36660/ijcs.20210019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia
publisher.none.fl_str_mv Sociedade Brasileira de Cardiologia
dc.source.none.fl_str_mv International Journal of Cardiovascular Sciences v.35 n.2 2022
reponame:International Journal of Cardiovascular Sciences (Online)
instname:Sociedade Brasileira de Cardiologia (SBC)
instacron:SBC
instname_str Sociedade Brasileira de Cardiologia (SBC)
instacron_str SBC
institution SBC
reponame_str International Journal of Cardiovascular Sciences (Online)
collection International Journal of Cardiovascular Sciences (Online)
repository.name.fl_str_mv International Journal of Cardiovascular Sciences (Online) - Sociedade Brasileira de Cardiologia (SBC)
repository.mail.fl_str_mv tailanerodrigues@cardiol.br||revistaijcs@cardiol.br
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