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Int J Cardiol ; 228: 1002-1006, 2017 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-27915215

RESUMO

BACKGROUND: CHADS2 and CHA2DS2-VASc scores have been used for assessing prognostic risk of thromboembolism in non valvular atrial fibrillation patients. They include similar risk factors for the development of CAD To increase the likelihood of determining CAD severity, the CHA2DS2-VASc-HS and CHA2DS2-VASc-HSF score comprising of hyperlipidemia, smoking and family history respectively in addition to the components of the CHA2DS2-VASc score and male instead of female gender. The aim was to investigate whether these risk scores can be used to predict CAD severity. METHODS AND RESULTS: A total of 2976 consecutive patients who underwent coronary angiography were enrolled in the study. Presence of >50% stenosis in a coronary artery was assessed as significant CAD. Of the patients,804 had normal coronary angiograms and served as group 1. The remaining 2172 patients with coronary stenosis were further classified into 2 groups according to CAD with stenosis of <50% or >50%: 834 patients with mild CAD as group 2 and 1338 patients with severe CAD as group 3. The scores were significantly different among the 3 groups. All the four scores correlated significantly with the number of diseased and the Gensini score. CONCLUSION: CHADS2, CHA2DS2-VASc, and especially CHA2DS2-VASc-HS and CHA2DS2-VASc-HSF scores could be considered predictive of the risk of severe CAD with CHA2DS2-VASc-HSF the best scoring scheme to predict CAD severity. The risk scoring systems may play an important role as predictive models because they are simple and can be easily applied by physicians without any additional costs in routine practice.


Assuntos
Fibrilação Atrial/fisiopatologia , Doença da Artéria Coronariana/diagnóstico , Índice de Gravidade de Doença , Acidente Vascular Cerebral/fisiopatologia , Tromboembolia/fisiopatologia , Fatores Etários , Idoso , Fibrilação Atrial/etiologia , Doença da Artéria Coronariana/complicações , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Variações Dependentes do Observador , Valor Preditivo dos Testes , Prognóstico , Estudos Prospectivos , Curva ROC , Medição de Risco , Fatores Sexuais , Acidente Vascular Cerebral/etiologia , Análise de Sobrevida , Tromboembolia/etiologia
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