On a Possible Approach to Risk Prediction of Recurrence of Atrial Fibrillation аfter Catheter Ablation According to Data from the Pre-procedure Period

Q4 Agricultural and Biological Sciences International Journal Bioautomation Pub Date : 2022-03-01 DOI:10.7546/ijba.2022.26.1.000869
I. Garvanski, M. Matveev, V. Krasteva, T. Stoyanov, I. Simova
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Abstract

The aim of the study is to identify and evaluate predictors of recurrent paroxysms of atrial fibrillation (AF) paroxysms based on data from the preprocedural period among personal indices, history, comorbidities, ultrasound examination, and morphological components of f-waves, such as spectral amplitude and frequency. 39 patients with antral pulmonary vein isolation using radiofrequency or cryoenergy were included. Spectral analysis of f-waves was performed by fast Fourier transform of the ECG signal after suppression of the T-wave and QRS-complex. The performed U-test for the difference between the amplitude and frequency indicators in the groups without and with recurrence of AF shows a significant difference between the amplitude values in the two studied groups of patients. Through a stepwise discriminant analysis of a total of 14 indicators, 5 reliably separated groups without and with recurrence were determined: Echo LV-EF, spectral amplitude of f-waves, heart failure, Stroke/TIA, diabetes. The discriminator synthesized on these indicеs classified among the 39 patient – 25 without relapse (group 1) and 14 with relapse (group 2), 3 patients wrong from group 1 to group 2 (false positive), or 12%, and 1 patient was wrong from group 2 to group 1 (false negative), or 7.1%. These results give grounds to accept the hypothesis that it is possible to develop a decision rule for determining the degree of risk of post-procedural recurrence of AF from pre-procedural period data.
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根据术前数据预测导管消融后心房颤动复发风险的可能方法
本研究的目的是根据手术前的个人指标、病史、合并症、超声检查和f波的形态学成分(如频谱振幅和频率)的数据,识别和评估房颤(AF)发作复发的预测因素。采用射频或低温能量隔离肺静脉的患者39例。通过抑制t波和qrs复合体,对心电信号进行快速傅里叶变换,对f波进行频谱分析。对无AF复发组和AF复发组的振幅和频率指标的差异进行u检验,两组患者的振幅值存在显著差异。通过对共14项指标的逐步判别分析,确定无复发和复发5组:Echo LV-EF、f波波幅、心力衰竭、卒中/TIA、糖尿病。根据这些指标合成的鉴别器对39例患者进行分类,其中25例无复发(1组),14例复发(2组),3例从1组错到2组(假阳性),占12%,1例从2组错到1组(假阴性),占7.1%。这些结果使我们有理由接受这样一种假设,即有可能从术前数据中制定一种决策规则来确定AF术后复发的风险程度。
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来源期刊
International Journal Bioautomation
International Journal Bioautomation Agricultural and Biological Sciences-Food Science
CiteScore
1.10
自引率
0.00%
发文量
22
审稿时长
12 weeks
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