Aim: Increased QT dispersion in cases of obstructive sleep apnea, which may induce serious arrhythmias, is a well-known process. However, there is little information about the QT dispersion in patients with simple snoring without apnea. We investigated QT dispersion in snoring and the effect of surgical therapy on QT dispersion.
Methods: One hundred and sixty two patients with simple snoring without apnea were included in this study. Patients had polysomnography and surface electrocardiography (ECG) on the pre-operative 1st week and post-operative 4th week. The patients underwent one of the three surgical procedures, which include uvulopalatopharyngoplasty, laser assisted uvulopalatoplasty, and cautery assisted uvulopalatoplasty. QT dispersion was calculated in each patient from pre-operative and post-operative surface ECG. Pre-operative and post-operative values were compared using the student's t test. P<0.05 was considered statistically significant.
Results: One hundred and fourteen of the patients were male, 48 were female, and the mean age was 35.2+/-14.1 years (range: 21-51). No improvements were observed in 9 of the patients. Surgical interventions were successful in 153 patients (94%). Post-operative QTc max and QTc dispersion values were significantly shortened, and QTc min was increased compared to the pre-operative values (449.6+/-6.2 vs. 440.9+/-20.8, and 68.2+/-8.4 vs. 43.8+/-6.2, and 381.3+/-7.8 vs. 397.0+/-5.9 respectively; P=0.001).
Conclusion: This study shows that QT dispersion is increased in simple snoring patients without apnea and that QT dispersion decreases after surgical interventions.
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http://dx.doi.org/10.1016/j.ijcard.2006.01.030 | DOI Listing |
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
January 2025
The variability of the apnea-hypopnea index(AHI) measured in the first and second halves of the night is significant in patients with obstructive sleep apnea hypopnea syndrome(OSAHS). This variation may be related to fluid redistribution caused by the supine position during sleep. Eighty-nine adult subjects were enrolled.
View Article and Find Full Text PDFAdv Mater
November 2024
Guangzhou Key Laboratory of Flexible Electronic Materials and Wearable Devices, Key Laboratory for Polymeric Composite and Functional Materials of Ministry of Education, School of Materials Science and Engineering, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou, 510275, P. R. China.
Organic electrochemical synaptic transistors (OESTs), inspired by the biological nervous system, have garnered increasing attention due to their multifunctional applications in neuromorphic computing. However, the practical implementation of OESTs for signal recognition-particularly those utilizing n-type organic mixed ionic-electronic conductors (OMIECs)-still faces significant challenges at the hardware level. Here, a state-of-the-art small-molecule n-type OEST integrated within a physically simple and hardware feasible reservoir-computing (RC) framework for practical temporal signal recognition is presented.
View Article and Find Full Text PDFIndian J Otolaryngol Head Neck Surg
December 2024
Inamdar Multispecialty Hosp Pune, Ghaisas Ent Hospital, Pune, India.
Obstructive sleep apnoea syndrome (OSA) is a multi-factorial disorder, with quite complex endotypes, consisting of anatomical and non-anatomical pathophysiological factors. Continuous positive airway pressure (CPAP) is recognized as the first-line standard treatment for OSA, whereas upper airway (UA) surgery is often recommended for treating mild OSA patients who have refused or cannot tolerate CPAP, mild and primary snorers. The main results achievable by the surgery are UA expansion, and/or stabilization, and/or removal of the obstructive tissue to different UA levels.
View Article and Find Full Text PDFDigit Health
October 2024
Honeynaps Research and Development Center, Honeynaps Co. Ltd, Seoul, Republic of Korea.
Objective: Polysomnography (PSG) is unique in diagnosing sleep disorders, notably obstructive sleep apnea (OSA). Despite its advantages, manual PSG data grading is time-consuming and laborious. Thus, this research evaluated a deep learning-based automated scoring system for respiratory events in sleep-disordered breathing patients.
View Article and Find Full Text PDFJ Affect Disord
November 2024
College of Educational Sciences, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea. Electronic address:
Background: Observational studies have shown that individual sleep traits habits are potential risk factors for major depression. However, it is not known whether there is a causal relationship between individual sleep traits habits such as continuous sleep duration, short sleep duration, short sleep duration, insomnia, nap during the day, snoring, and major depression. In this study, Mendelian randomization (MR) was used to predict major depressive disorder (MDD) in individuals sleep traits habits.
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