ArticleHeart and vessels2020
Detection of arrhythmogenic substrate within QRS complex in patients with cardiac sarcoidosis using wavelet-transformed ECG.
Article in Heart and vessels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Arrhythmias in Cardiac Sarcoidosis: Pathophysiology, Diagnostic Strategies, Risk Stratification for Sudden Cardiac Death, and Contemporary Management-A Narrative Review.Journal of clinical medicine · 2026Review
- High-frequency content within the QRS complex can predict ventricular tachyarrhythmias in hypertrophic cardiomyopathy.Journal of arrhythmia · 2025Article
- Management of the arrhythmic manifestations of cardiac sarcoidosis.Frontiers in cardiovascular medicine · 2023Review
- Detection of cardiac involvement in pulmonary sarcoidosis using high-resolution Holter electrocardiogram.Journal of arrhythmia · 2021Article
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6 authors at 2 institutions in 1 country.
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Abstract
Signal-averaged electrocardiography (SAECG) has been known to be useful for prediction of lethal ventricular arrhythmias (VA). However, this technique has limitations in patients with intraventricular conduction disturbance (IVCD), which is common in cardiac sarcoidosis (CS). Meanwhile, wavelet-transformed ECG (WTECG) has been reported to be useful for detecting arrhythmogenic substrate hidden within QRS complex. The objective of this study was to assess the utility of WTECG for detecting arrhythmogenic substrate in patients with CS. Forty-four CS patients including 18 patients with VA were retrospectively investigated. The parameters on the signal-averaged electrocardiography (SAECG) and the power of frequency components on WTECG were compared between VA group and non-VA group. Eighteen patients have VA (VT: n = 17, VF: n = 1). LP were detected in 17 in VA group and 24 in non-VA group. WTECG showed that high-frequency components (HFC; 80-150 Hz) were developed in VA group. Peak power value at 150 Hz (P150) was significantly higher in VA group than that in non-VA group (442.9 ± 160.2 vs 316.7 ± 100.8, p = 0.006). The receiver operating characteristic (ROC) curve analysis showed an optimal cutoff point of 336 of P150 for detecting patients with VA, with 82.4% sensitivity, 61.5% specificity, and area under the curve of 0.74 (95% confidence interval [CI] 0.59-0.89). WTECG may be useful for detecting CS patients who are prone to VA.
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