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Predictors of Recurrent Atrial Fibrillation Using Mode Switch Quantification

机译:使用模式开关量化的复发性房颤预测指标

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Background: The efficacy of mode switching to predict atrial fibrillation has been established in the literature. There have been few studies investigating the incidence and clinical implication of mode switch episodes quantified from implantable cardioverter defibrillator and pacemaker interrogation. We sought to investigate the incidence of mode switch recurrence in patients with implantable cardioverter defibrillators and permanent pacemakers. Methods: Mode switch was defined as any occurrence documented during device interrogation after the date of implantation. Clinical predictors (age, gender, hypertension, diabetes, syncope, atrial fibrillation (AF)), and medications were analyzed to determine association with single and recurrent mode switch occurrences. Results: There were 21 patients experiencing a mode switch event, identified from a group of 54 patients (42 males; mean age 70 ± 12 years; mean follow-up 29.1 ± 22 months (3.4 - 81.4 months)). All but two patients were receiving medical therapy including beta blockers, statins, ace-inhibitors, and anti-arrhythmics. There were 21 subjects who experienced at least one mode switch during their follow-up and 33 subjects who never experienced a mode switch during their follow-up time. The median time to first mode switch from device implantation was 39.3 months. Risk factors individually associated with any mode switch episode included: diabetes (DM) (P < 0.04) and use of digitalis (P = 0.02). Subjects who had a history of DM were 5 times more likely to have at least one mode switch occurrence. There was a significantly higher rate of mode switch among patients who were diabetic than patients who were not (3.7 per follow-up month ± 5.3 vs. 0.98 per follow-up month ± 2.02; P = 0.02). There was a significantly higher rate of mode switch among patients who were on digitalis than those who were not (3.1 per follow-up month ± 4.3 vs. 0.73 per follow-up month ± 1.9; P = 0.02). Conclusion: The main factors associated with any mode switch are having a history of diabetes and digitalis use. Those patients who are diabetics and those on digitalis may warrant closer observation and management for the development of atrial fibrillation.doi: http://dx.doi.org/10.4021/cr292w
机译:背景:在文献中已经确定了模式转换预测房颤的功效。很少有研究调查通过植入式心脏复律除颤器和起搏器讯问量化的模式转换发作的发生率和临床意义。我们试图调查植入式心脏复律除颤器和永久性起搏器患者模式转换复发的发生率。方法:模式切换被定义为在植入日期之后在设备询问期间记录的任何事件。分析了临床预测指标(年龄,性别,高血压,糖尿病,晕厥,心房颤动(AF))和药物,以确定与单次和复发模式转换发生的关联。结果:从一组54例患者中识别出21例经历模式转换事件的患者(42例男性;平均年龄70±12岁;平均随访29.1±22个月(3.4-81.4个月))。除两名患者外,其余所有患者均接受药物治疗,包括β受体阻滞剂,他汀类药物,ACE抑制剂和抗心律不齐药物。有21名受试者在随访期间至少经历过一次模式转换,有33名受试者在随访期间从未经历过模式转换。从设备植入到第一模式切换的中位时间为39.3个月。与任何模式转换发作均相关的危险因素包括:糖尿病(DM)(P <0.04)和使用洋地黄(P = 0.02)。具有DM历史的受试者发生至少一次模式切换的可能性是其5倍。糖尿病患者的模式转换率明显高于非糖尿病患者(每个随访月3.7±5.3±0.98,±2.02; P = 0.02)。接受洋地黄治疗的患者的模式转换率显着高于未接受治疗的患者(每个随访月3.1±4.3,而每个随访月0.73±1.9; P = 0.02)。结论:与任何模式切换相关的主要因素是有糖尿病和洋地黄使用史。那些患有糖尿病的患者和那些患有洋地黄的患者可能需要对心房颤动的发展进行更密切的观察和管理。doi:http://dx.doi.org/10.4021/cr292w

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