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A low-pass filter of 300 Hz improved the detection of pacemaker spike on remote and bedside electrocardiogram

Authors :
Jian Sun
Qiu-Feng Lu
Yan Zhao
Peng-Pai Zhang
Jun Wang
Qun-Shan Wang
Xiao-Hong Liu
Yi-Gang Li
Li-Min Chen
Source :
Chinese Medical Journal, Vol 132, Iss 5, Pp 534-541 (2019)
Publication Year :
2019
Publisher :
Wolters Kluwer, 2019.

Abstract

Abstract. Background:. The current upper-frequency cutoff of 150 Hz sometimes causes loss of pacemaker spike and misdiagnosis. We hypothesized that low-pass filter (LPF) other than 150 Hz could improve the detection of pacemaker spike. This study aimed to examine the effect of different LPF on pacemaker spike detection in remote and bedside electrocardiogram (ECG). Methods:. Patients with permanent pacemaker implantation were included during routine follow-up. Standard 12-lead ECGs at 6 different upper-frequency cutoff (40, 100, 150, 200, 300, and 400 Hz) were collected. All ECGs were then transmitted to the remote clinic center. Ventricular and atrial pacing were analyzed by 2 independent medical practitioners. Results:. A total of 88 patients’ ECGs were analyzed (mean age 73.8 ± 10.2 years and 85 with dual-chamber pacemakers). About 75.3% (64/85) of patients were diagnosed as atrial pacing by pacemaker programming. Among 6 different upper-frequency cutoff, the 300 Hz turned out to perform best in detecting atrial-paced spike (area under the curve [AUC] = 0.73, 95% confidence interval [CI]: 0.61–0.84 vs. 0.56, 95% CI: 0.61–0.84 at 150 Hz; P = 0.002) on bedside ECGs. Using programming as the golden standard, the 300 Hz LPF has a sensitivity of 59.4%, specificity of 85.7%, positive predictive value of 92.7% and negative predictive value of 40.9% on bedside ECGs. As for the ventricular pacing, the 300 Hz LPF also had a higher accuracy (AUC = 0.93; 95% CI = 0.84–1.00) than that at 150 Hz (AUC = 0.86; 95% CI: 0.77–0.94; P

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
03666999, 25425641, and 00000000
Volume :
132
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Chinese Medical Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.82833f666d144b7bb0be3d60939e7bb1
Document Type :
article
Full Text :
https://doi.org/10.1097/CM9.0000000000000110