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首页> 外文期刊>Journal of cardiovascular electrophysiology >Risk stratification of individuals with the Brugada electrocardiogram: a myth or a reality?
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Risk stratification of individuals with the Brugada electrocardiogram: a myth or a reality?

机译:使用Brugada心电图对个人进行风险分层:是神话还是现实?

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One of the leading causes of death in young adults in some countries, Brugada syndrome has been the focus of many clinical and research investigations since 1992.1 Large prospective cohort studies have advanced our knowledge of this syndrome. We now know that Brugada syndrome is an autosomal dominant disease characterized by mutations in the cardiac sodium channel (e.g., SCN5 A) that result in overt or concealed ST-segment elevation in the right precordial leads and a high risk of sudden cardiac death in young and otherwise healthy adults. Many factors have shown promise for predicting sudden cardiac death in such patients; however, observations in this regard have not been entirely consistent even in the three largest prospective studies of the natural history of this syndrome.One study included 200 patients with Brugada syndrome (130 probands and 70 family members). An electrophysiol-ogy study (EPS) was performed in 86 patients and genetic analysis was done in all patients. Cardiac arrest occurred in11% of patients. The risk of cardiac arrest was highest in patients with spontaneous ST-segment elevation in leads VI through V3 and a history of syncope. Inducible ventricular arrhythmias on EPS were not predictive of cardiac arrest. The presence of an SCN5A mutation showed 32% sensitivity and 57% specificity in predicting the occurrence of cardiac arrest.
机译:自1992年以来,Brugada综合征已成为许多国家/地区年轻人死亡的主要原因之一。1,大规模的前瞻性队列研究提高了我们对该综合征的认识。我们现在知道Brugada综合征是一种常染色体显性遗传疾病,其特征是心脏钠通道(例如SCN5 A)发生突变,导致右心前导联明显或隐蔽ST段抬高,并且年轻时心脏猝死的高风险以及其他健康的成年人。许多因素已显示出预测此类患者心脏猝死的希望。然而,即使在有关该综合征自然史的三项最大的前瞻性研究中,这方面的观察也并非完全一致。一项研究包括200例Brugada综合征患者(130名先证者和70名家庭成员)。对86例患者进行了电生理学研究(EPS),并对所有患者进行了遗传分析。 11%的患者发生心脏骤停。 VI至V3导联自发ST段抬高且有晕厥史的患者发生心脏骤停的风险最高。 EPS引起的诱发性室性心律失常不能预示心脏骤停。 SCN5A突变的存在显示出32%的敏感性和57%的特异性可预测心脏骤停的发生。

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