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Relation of p ‐ wave dispersion with presystolic a ‐ wave and aortic valve sclerosis in asymptomatic subjects
Author(s) -
Akyüz Ali Rıza,
Özderya Ahmet,
Şahin Sinan,
Kul Selim,
Turan Turhan,
Erkan Hakan,
Çırakoğlu Ömer Faruk,
Karal Hüseyin,
Korkmaz Levent
Publication year - 2021
Publication title -
echocardiography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 62
eISSN - 1540-8175
pISSN - 0742-2822
DOI - 10.1111/echo.15011
Subject(s) - medicine , cardiology , atrial fibrillation , asymptomatic , confidence interval , sinus rhythm , univariate analysis , electrocardiography , multivariate analysis
Background P‐wave duration and P‐wave dispersion (PWD) are thought to be the surrogate marker of devoloping atrial fibrillation (AF). The main purpose of present study was to investigate the association between presystolic wave (PSW), aortic valve sclerosis, and PWD. Patients and Methods Patients with sinus rhythm admitted to the cardiology outpatient clinic were consecutively enrolled. Maximum (Pmax) and minimum (Pmin) P‐wave duration and PWD were measured. Echocardiography was used to assess the aortic valve morphology and presence of PSW. The patients were divided into two groups according to presence or absence of AVSc and PSW. Results A total of 100 patients were enrolled consecutively. Patients with both PSW and AVSc had higher PWD values compared with those without PSW (42 ± 15 vs 65 ± 20) and AVSc (52 ± 21 vs 69 ± 19). The patients were categorized on the basis of median PWD values. According to univariate analysis, there was significant association between PWD and presence of PSW ( P : .004), presence of AVS ( P : .011), hypertension ( P : .01) interventricular septal thickness (IVST) ( P : .026), and posterior wall thickness (PWT) ( P : .022). Multivariate logistic regression analyses demonstrated presence of PSW (95% confidence interval (1.058‐6.505, P : .037) as an independent determinant of PWD. Conclusion Assessment of presystolic A‐wave on echocardiography examination may provide important information regarding the atrial conduction velocities that is a electrophysiological cause of AF. While there was a significant association between AVSc and PWD in univariate analysis, this significance disappeared in multivariate analysis.