调查患者中复发的预测参数在接受心脏转移电动为心房动的患者中复发
Levent Pay1, Ozan Tezen2, Tuğba Çetin3
1Department of Cardiology Istanbul Haseki Training and Research Hospital Istanbul Turkey.
Journal of arrhythmia
|April 3, 2025
概括
预测电动心脏转变 (ECV) 后心房 (AF) 复发是可能的,使用包括胆固醇,甲状腺激素,血液计数和心脏测量在内的模型. 这有助于识别患有长期AF复发风险较高的患者.
科学领域:
- 心脏病学 心脏病学
- 生物化学 生化学
- 医疗信息学 医疗信息学
背景情况:
- 心房动 (AF) 是一种常见的心律失常,通常用电心转变 (ECV) 治疗.
- 在ECV之后预测AF复发对于管理患者的结果和症状至关重要.
- 之前的研究已经确定了AF复发的几种临床预测因素.
研究的目的:
- 在接受ECV.患者中确定预测长期AF复发的参数.
- 开发一个预测模型,用于AF复发后电动心脏转变.
主要方法:
- 研究了一组由172名患者组成的队列,他们接受了AF的ECV治疗.
- 患者被分为AF复发 (+) 和AF复发 (-) 组.
- 采用多变量考克斯回归和ROC曲线分析来确定预测因素.
主要成果:
- 在91名患者中观察到AF复发;81人没有复发.
- 一个预测模型包括非高密度脂蛋白 (HDL) 胆固醇,自由T3,平均体积 (MCV),左心室前后直径,心脏转变数和口服抗凝剂的使用.
- 预测模型实现了0.719的AUC (p < .05),表明有效的歧视.
结论:
- 在使用结合患者特征,疾病因素和生化参数的模型后,可以预测AF复发后的ECV.
- 心脏转变和非HDL胆固醇水平的数量与复发性AF显著相关.
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