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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; 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.
  • Neves, Vítor Boniatti; Faculdade Meridional. Passo Fundo. BR
  • Roman, Raquel Melchior; Hospital de Clínicas de Passo Fundo. Passo Fundo. BR
  • Vendruscolo, Tiago; Hospital de Clínicas de Passo Fundo. Passo Fundo. BR
  • Heineck, Gilberto; Hospital de Clínicas de Passo Fundo. Passo Fundo. BR
  • Mattos, Carlos Alberto Santos de; Hospital de Clínicas de Passo Fundo. Passo Fundo. BR
  • Mattos, Eduardo Ilha de; Hospital de Clínicas de Passo Fundo. Passo Fundo. BR
  • Bin, Luiz Carlos Pereira; Faculdade Meridional. Passo Fundo. BR
  • Boclin, Karine de Lima Sírio; Universidade Estácio de Sá. Rio de Janeiro. BR
  • Roman, Marcelo Fialho; Faculdade Meridional. Passo Fundo. BR
Int. j. cardiovasc. sci. (Impr.) ; 35(2): 174-180, Mar.-Apr. 2022. tab, graf
Article in English | LILACS | ID: biblio-1364980
ABSTRACT
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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Full text: Available Index: LILACS (Americas) Main subject: Risk Assessment / Acute Coronary Syndrome Type of study: Diagnostic study / Etiology study / Observational study / Prognostic study / Risk factors Limits: Aged / Female / Humans / Male Language: English Journal: Int. j. cardiovasc. sci. (Impr.) Journal subject: Cardiology Year: 2022 Type: Article Affiliation country: Brazil Institution/Affiliation country: Faculdade Meridional/BR / Hospital de Clínicas de Passo Fundo/BR / Universidade Estácio de Sá/BR

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Full text: Available Index: LILACS (Americas) Main subject: Risk Assessment / Acute Coronary Syndrome Type of study: Diagnostic study / Etiology study / Observational study / Prognostic study / Risk factors Limits: Aged / Female / Humans / Male Language: English Journal: Int. j. cardiovasc. sci. (Impr.) Journal subject: Cardiology Year: 2022 Type: Article Affiliation country: Brazil Institution/Affiliation country: Faculdade Meridional/BR / Hospital de Clínicas de Passo Fundo/BR / Universidade Estácio de Sá/BR