Alexander Bryce, Milden Julia, Hazim Bachar, Haseeb Sohaib, Bayes-Genis Antoni, Elosua Roberto, Martínez-Sellés Manuel, Yeung Cynthia, Hopman Wilma, Bayes de Luna Antoni, Baranchuk Adrian
Division of Cardiology, Queen's University, Kingston, Ontario, Canada.
Generalitat de Catalunya, Barcelona, Spain.
Ann Noninvasive Electrocardiol. 2019 Nov;24(6):e12669. doi: 10.1111/anec.12669. Epub 2019 Jun 11.
Atrial fibrillation (AF) is the most common arrhythmia and has significant morbidity. A score composed of easily measured electrocardiographic variables to identify patients at risk of AF would be of great value in order to stratify patients for increased monitoring and surveillance. The purpose of this study was to develop an electrocardiographic risk score for new-onset AF.
A total of 676 patients without previous AF undergoing coronary angiography were retrospectively studied. Points were allocated based on P-wave morphology in inferior leads, voltage in lead 1, and P-wave duration (MVP). Patients were divided into three risk groups and followed until development of AF or last available clinical appointment.
Mean age was 65 years, and 68% were male. The high- and intermediate-risk groups were more likely to develop AF than the low-risk group (odds ratio [OR] 2.4, 95% confidence interval [CI] 1.3-4.4; p = 0.006 and OR 2.1, 95% CI 1.4-3.27; p = 0.009, respectively). The high-risk group had a significantly shorter mean time to development of AF (258 weeks; 95% CI 205-310 weeks) compared to the intermediate- (278 weeks; 95% CI 252-303 weeks) and low-risk groups (322 weeks 95% CI 307-338 weeks), p = 0.005.
A simple risk score composed of easy-to-measure electrocardiographic variables can help to predict new-onset AF. Further validation studies will be needed to assess the ability of this risk score to predict AF in other populations.
心房颤动(AF)是最常见的心律失常,具有较高的发病率。由易于测量的心电图变量组成的评分系统,用于识别房颤风险患者,对于分层患者以加强监测具有重要价值。本研究的目的是开发一种用于新发房颤的心电图风险评分。
对676例既往无房颤且接受冠状动脉造影的患者进行回顾性研究。根据下壁导联P波形态、I导联电压和P波时限(MVP)分配分数。患者被分为三个风险组,并随访至发生房颤或最后一次可用临床就诊。
平均年龄为65岁,男性占68%。高风险组和中风险组比低风险组更易发生房颤(优势比[OR]分别为2.4,95%置信区间[CI]1.3 - 4.4;p = 0.006和OR 2.1,95%CI 1.4 - 3.27;p = 0.009)。与中风险组(278周;95%CI 252 - 303周)和低风险组(322周,95%CI 307 - 338周)相比,高风险组发生房颤的平均时间显著更短(258周;95%CI 205 - 310周),p = 0.005。
由易于测量的心电图变量组成的简单风险评分有助于预测新发房颤。需要进一步的验证研究来评估该风险评分在其他人群中预测房颤的能力。