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首页> 外文期刊>Circulation journal >Predicting Atrial Fibrillation and Its Complications
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Predicting Atrial Fibrillation and Its Complications

机译:预测心房颤动及其并发症

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摘要

Atrial fibrillation (AF) is a common cardiac arrhythmia associated with an increased risk of stroke and other complications. Identifying individuals at higher risk of developing AF in the community is now possible using validated predictive models that take into account clinical variables and circulating biomarkers. These models have shown adequate performance in racially and ethnically diverse populations. Similarly, risk stratification schemes predict incidence of ischemic stroke in persons with AF, assisting clinicians and patients in decisions regarding oral anticoagulation use. Complementary schemes have been developed to predict the risk of bleeding in AF patients taking vitamin K antagonists. However, major gaps exist in our ability to predict AF and its complications. Additional research should refine models for AF prediction and determine their value to improve population health and clinical outcomes, advance our ability to predict stroke and other complications in AF patients, and develop predictive models for bleeding events and other adverse effects in patients using non-vitamin K oral anticoagulants.
机译:心房颤动(AF)是常见的心律不齐,与中风和其他并发症的风险增加相关。现在,可以使用经过验证的预测模型来识别社区中发生AF的较高风险的个体,这些模型考虑了临床变量和循环生物标志物。这些模型在种族和种族多样化的人群中表现出足够的表现。同样,风险分层方案可预测房颤患者缺血性卒中的发生率,从而帮助临床医生和患者做出有关口服抗凝药物使用的决策。已经开发出补充方案来预测服用维生素K拮抗剂的AF患者的出血风险。但是,我们预测房颤及其并发症的能力存在重大差距。其他研究应完善房颤预测模型并确定其价值,以改善人群健康状况和临床结局,提高我们预测房颤患者中风和其他并发症的能力,并开发出使用非维生素的患者出血事件和其他不良反应的预测模型口服抗凝剂。

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