Innovation in Bioengineering Research Group, University of Castilla-La Mancha, Spain.
Physiol Meas. 2014 Jan;35(1):1-14. doi: 10.1088/0967-3334/35/1/1. Epub 2013 Dec 17.
The present work introduces the first study on the P-wave morphological variability two hours preceding the onset of paroxysmal atrial fibrillation (PAF). The development of non-invasive methods able to track P-wave alterations over time is a clinically relevant tool to anticipate as much as possible the envision of a new PAF episode. This information is essential for further improvement of preventive and patient-tailored treatment strategies, which could avert the loss of sinus rhythm. In this way, risks for the patients could be minimized and their quality of life improved. Recently, the P-wave morphological analysis is drawing increasing attention because differences in morphology can reflect different atrial activation patterns. Indeed, the P-wave morphology study has recently proved to be useful for determining the presence of an underlying pathophysiological condition in patients prone to atrial fibrillation. However, the P-wave morphology variability over time has not been studied yet. In this respect, the present work puts forward some parameters related to the P-wave shape and energy with the ability to quantify non-invasively the notable atrial conduction alterations preceding the onset of PAF. Results showed that P-wave fragmentation and area presented higher variability over time as the onset of PAF approximates. By properly combining these indices, an average global accuracy of 86.33% was achieved to discern between electrocardiogram segments from healthy subjects, far from a PAF episode and less than one hour close to a PAF episode. As a consequence, the P-wave morphology long-term analysis seems to be a useful tool for the non-invasive envision of PAF onset with a reasonable anticipation. Nonetheless, further research is required to corroborate this finding and to validate the capability of the proposed P-wave metrics in the earlier prediction of PAF onset.
本研究首次探讨了阵发性心房颤动(PAF)发作前两小时 P 波形态变化。开发能够实时跟踪 P 波变化的非侵入性方法是一种具有临床相关性的工具,可以尽可能提前预测新的 PAF 发作。这些信息对于进一步改进预防和个体化治疗策略至关重要,可以避免窦性节律丧失。这样可以最大程度地降低患者的风险并提高他们的生活质量。最近,P 波形态分析越来越受到关注,因为形态差异可以反映不同的心房激活模式。事实上,P 波形态研究最近已被证明可用于确定易发生心房颤动患者潜在的病理生理状况。然而,目前尚未研究 P 波随时间的形态变化。在这方面,本研究提出了一些与 P 波形状和能量相关的参数,能够定量无创地量化 PAF 发作前明显的心房传导改变。结果表明,P 波碎裂和面积随 PAF 发作的临近而呈现出更高的时间变异性。通过适当组合这些指标,可以实现 86.33%的平均全局准确性,以区分健康受试者、远离 PAF 发作和接近 PAF 发作不到一小时的心电图段。因此,P 波形态的长期分析似乎是一种有用的工具,可用于非侵入性地预测 PAF 的发作,并具有合理的提前期。然而,需要进一步的研究来证实这一发现,并验证所提出的 P 波指标在更早预测 PAF 发作中的能力。