一种使用ECG P波参数的诺莫图,用于预测帕洛克斯性心房动中导管切除后的复发风险
Li-Juan Yu1,2, Xue-Hai Chen1, Zhe Xu1
1Department of Cardiology, Fujian Medical University Union Hospital, Fujian Heart Medical Center, Fujian Institute of Coronary Heart Disease, Fujian Clinical Medical Research Center for Heart and Macrovascular Disease, Fuzhou, 350001, China.
外科手术期间的P波参数可以预测导管切除后动性心房动 (PAF) 的复发. 使用这些P波指标开发的一种诺莫格拉姆模型显示了PAF复发的强有力的预测性能.
科学领域:
- 心脏病学 心脏病学
- 电力生理学 电力生理学
- 医疗信息学 医疗信息学
背景情况:
- 动性心房动 (PAF) 是一种常见的心律失常.
- 导管切除是PAF的主要治疗方法.
- 预测切除后的复发对于患者管理至关重要.
研究的目的:
- 为了评估外科手术期间P波参数在导管切除后PAF复发的预测值.
- 使用P波参数开发PAF复发的预测模型.
主要方法:
- 对213名接受了导管切除的PAF患者进行了回顾性分析.
- 测量P波参数在剥离前和后的测量.
- 统计分析包括后勤回归,ROC曲线分析和名ogram开发.
主要成果:
- 在复发和没有复发的患者之间观察到P波参数 (Pmax,PtfV1,Pd,PWD) 的显著差异.
- 确定了Pmax,PtfV1,Pd,P-area,PWD和Delta-PWD作为复发的重要预测因素.
- 一种名图模型显示出高灵敏度 (89.3%) 和有利的临床实用性,用于预测PAF复发.
结论:
- 经手术的P波参数 (PWD,Pmax,Pd,PtfV1) 是PAF在消去后复发的有价值预测指标.
- 开发的诺莫格拉姆模型为PAF复发提供了强大的和临床上有益的预测性能.
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