Background: The prevalence of Holter-based late potentials (H-LPs) in cases of fatal cardiac events has increased. Although the noise level of H-LP is higher than that of conventional real-time late potential (LP) recording, a procedure to reduce the noise severity in H-LP by increasing the averaging beats has not been investigated.
Methods: We enrolled 104 patients with post-myocardial infarction (MI) and 86 control participants. Among the patients, 30 reported sustained ventricular tachycardia (VT), and the remaining 74 had unrecorded VT. H-LPs were measured twice in all groups to evaluate the efficacy of increasing the averaging beats for H-LPs. Thereafter, the average of LP was calculated at 250 (default setting), 300, 400, 500, 600, 700, and 800 beats.
Results: Across all three groups (MI-VT group, MI non-VT group, and control group), the noise levels significantly decreased in consonance with the increase in averaging beats. In the MI-VT group, the H-LP positive rate considerably increased with the increase in the averaging beats from 250 to 800 both at night and daytime. In the MI-VT group, the LP parameters significantly deteriorated, which led to a positive judgment corresponding to the increment of the averaged night and day beats. The H-LP positive rates were unchanged in the MI non-VT and control groups, while the LP parameters remained consistent, despite the increased averaging beats in the MI non-VT and control groups.
Conclusion: Increasing the calculated averaging beats in H-LPs can improve the sensitivity of predicting fatal cardiac events in patients with MI.
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http://dx.doi.org/10.1111/anec.13089 | DOI Listing |
Noise Health
January 2025
School of Medicine, National Yang Ming Chiao Tung University, Taiwan.
Objective: This study investigated the long-term health risks associated with occupational noise exposure. By using 9 years of health examination data from a major manufacturing company in Taiwan, this study compared the health indices of employees in noise-intensive and non-noise-intensive work environments.
Methods: A retrospective analysis of 6278 health examination reports spanning 9 years was conducted to compare 20 health indices among 166 employees evenly distributed between noise-intensive and non-noise-intensive workgroups.
J Eat Disord
January 2025
Department of Pediatrics, University of California, San Francisco, San Francisco, CA, USA.
Background: Avoidant/restrictive food intake disorder (ARFID) may result in significant medical sequelae. Compared to youth with eating disorders like anorexia nervosa (AN), youth with ARFID tend to be younger and are more likely to be male. We aim to describe sex differences in clinical characteristics of youth hospitalized for medical complications of ARFID and compare their characteristics with youth hospitalized for anorexia nervosa.
View Article and Find Full Text PDFChildren (Basel)
November 2024
Department of Pediatrics, Peking University First Hospital, Beijing 100034, China.
Background: This study intended to find out whether the parameters of heart rate variability (HRV) can predict the treatment efficacy of orthostatic training among pediatric cases of vasovagal syncope (VVS).
Methods: Patients with VVS who underwent orthostatic training were retrospectively enrolled. Lasso and logistic regression were used to sift through variables and build the model, which is visualized using a nomogram.
PLoS One
December 2024
Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan.
This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with thirteen MFCCs estimated from each segment, yielding 52 MFCCs per beat. Finally, MFCCs are used for heart sound classification.
View Article and Find Full Text PDFActa Cardiol
December 2024
Department of Cardiology, Ankara City Hospital, Ankara, Turkey.
Objective: Atrial high-rate episodes (AHRE) are atrial tachyarrhythmia episodes detected by implanted cardiac devices, characterised by an atrial rate exceeding 180-190 beats per minute. Recent studies have linked AHRE to the development of atrial fibrillation (AF) and increased stroke risk, especially when episodes last longer than 5-6 min. This study aimed to evaluate the relationship between predictive factors and the occurrence of AHRE in heart failure with reduced ejection fraction (HFrEF) patients with cardiac implantable electronic devices (CIEDs).
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