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J Am Heart Assoc ; 8(3): e010115, 2019 02 05.
Artigo em Inglês | MEDLINE | ID: mdl-30675825

RESUMO

Background Several metabolic conditions can cause the Brugada ECG pattern, also called Brugada phenotype (BrPh). We aimed to define the clinical characteristics and outcome of BrPh patients and elucidate the mechanisms underlying BrPh attributed to hyperkalemia. Methods and Results We prospectively identified patients hospitalized with severe hyperkalemia and ECG diagnosis of BrPh and compared their clinical characteristics and outcome with patients with hyperkalemia but no BrPh ECG. Computer simulations investigated the roles of extracellular potassium increase, fibrosis at the right ventricular outflow tract, and epicardial/endocardial gradients in transient outward current. Over a 6-year period, 15 patients presented severe hyperkalemia with BrPh ECG that was transient and disappeared after normalization of their serum potassium. Most patients were admitted because of various severe medical conditions causing hyperkalemia. Six (40%) patients presented malignant arrhythmias and 6 died during admission. Multiple logistic regression analysis revealed that higher serum potassium levels (odds ratio, 15.8; 95% CI, 3.1-79; P=0.001) and male sex (odds ratio, 17; 95% CI, 1.05-286; P=0.045) were risk factors for developing BrPh ECG in patients with severe hyperkalemia. In simulations, hyperkalemia yielded BrPh by promoting delayed and heterogeneous right ventricular outflow tract activation attributed to elevation of resting potential, reduced availability of inward sodium channel conductance, and increased right ventricular outflow tract fibrosis. An elevated transient outward current gradient contributed to, but was not essential for, the BrPh phenotype. Conclusions In patients with severe hyperkalemia, a BrPh ECG is associated with malignant arrhythmias and all-cause mortality secondary to resting potential depolarization, reduced sodium current availability, and fibrosis at the right ventricular outflow tract.


Assuntos
Síndrome de Brugada/fisiopatologia , Simulação por Computador , Eletrocardiografia/métodos , Sistema de Condução Cardíaco/fisiopatologia , Hiperpotassemia/sangue , Potássio/sangue , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores/sangue , Síndrome de Brugada/sangue , Síndrome de Brugada/etiologia , Feminino , Seguimentos , Ventrículos do Coração/fisiopatologia , Humanos , Hiperpotassemia/complicações , Imageamento Tridimensional , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Fatores de Tempo
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