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QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype
PURPOSE: Manifestations of metabolic syndrome (MetS) carry risks for atrial fibrillation (AF). The study determined whether any electrocardiographic parameter can reflect increased AF risk in individuals with MetS. PATIENTS AND METHODS: From our University Hospital database, we examined the presence...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296885/ https://www.ncbi.nlm.nih.gov/pubmed/35874912 http://dx.doi.org/10.2147/IJGM.S361705 |
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author | Lee, Ming-Chuan Wang, Yu-Tsang Li, Yu-Ju Tsai, Ching-Yi Chen, Su-Te Jhuang, Wun-Jyun Chang, Meng-Chi Chien, Mei-Yu Lee, Hsiang-Chun |
author_facet | Lee, Ming-Chuan Wang, Yu-Tsang Li, Yu-Ju Tsai, Ching-Yi Chen, Su-Te Jhuang, Wun-Jyun Chang, Meng-Chi Chien, Mei-Yu Lee, Hsiang-Chun |
author_sort | Lee, Ming-Chuan |
collection | PubMed |
description | PURPOSE: Manifestations of metabolic syndrome (MetS) carry risks for atrial fibrillation (AF). The study determined whether any electrocardiographic parameter can reflect increased AF risk in individuals with MetS. PATIENTS AND METHODS: From our University Hospital database, we examined the presence of AF and its correlation with MetS manifestations, renal function, lipid profiles, and electrocardiographic parameters (P wave duration, PR interval, QRS width, and QTc intervals). Between January 2008 and December 2015, data from 4479 adults (women 41.6% vs men 58.4%) were identified. RESULTS: The overall prevalence of AF was 12.4%, without sex differences (women, 12.8% vs men, 12.1%). Patients with AF were older (age 73.9 ± 11.8 vs non-AF 67 ± 13.5 years), with lower lipid levels (TG, total cholesterol, and LDL-cholesterol, all p < 0.0001), and at lower eGFR level (64.1 ± 30.9 vs non-AF 68.8 ± 41.4 mL/min/1.73m2, p < 0.0001). Besides, sex differences were present in all electrocardiographic parameters (all p < 0.05). Hypertension had the highest odds ratio (1.33; p = 0.026) for AF. Comparing AF to non-AF, the QTc of quartiles was significantly different (p < 0.0089). The shortest and longest QTc quartiles had an increased incidence of AF. CONCLUSION: AF risk in patients with MetS phenotypes can be reflected by QTc quartiles. |
format | Online Article Text |
id | pubmed-9296885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-92968852022-07-21 QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype Lee, Ming-Chuan Wang, Yu-Tsang Li, Yu-Ju Tsai, Ching-Yi Chen, Su-Te Jhuang, Wun-Jyun Chang, Meng-Chi Chien, Mei-Yu Lee, Hsiang-Chun Int J Gen Med Original Research PURPOSE: Manifestations of metabolic syndrome (MetS) carry risks for atrial fibrillation (AF). The study determined whether any electrocardiographic parameter can reflect increased AF risk in individuals with MetS. PATIENTS AND METHODS: From our University Hospital database, we examined the presence of AF and its correlation with MetS manifestations, renal function, lipid profiles, and electrocardiographic parameters (P wave duration, PR interval, QRS width, and QTc intervals). Between January 2008 and December 2015, data from 4479 adults (women 41.6% vs men 58.4%) were identified. RESULTS: The overall prevalence of AF was 12.4%, without sex differences (women, 12.8% vs men, 12.1%). Patients with AF were older (age 73.9 ± 11.8 vs non-AF 67 ± 13.5 years), with lower lipid levels (TG, total cholesterol, and LDL-cholesterol, all p < 0.0001), and at lower eGFR level (64.1 ± 30.9 vs non-AF 68.8 ± 41.4 mL/min/1.73m2, p < 0.0001). Besides, sex differences were present in all electrocardiographic parameters (all p < 0.05). Hypertension had the highest odds ratio (1.33; p = 0.026) for AF. Comparing AF to non-AF, the QTc of quartiles was significantly different (p < 0.0089). The shortest and longest QTc quartiles had an increased incidence of AF. CONCLUSION: AF risk in patients with MetS phenotypes can be reflected by QTc quartiles. Dove 2022-07-15 /pmc/articles/PMC9296885/ /pubmed/35874912 http://dx.doi.org/10.2147/IJGM.S361705 Text en © 2022 Lee et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Lee, Ming-Chuan Wang, Yu-Tsang Li, Yu-Ju Tsai, Ching-Yi Chen, Su-Te Jhuang, Wun-Jyun Chang, Meng-Chi Chien, Mei-Yu Lee, Hsiang-Chun QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype |
title | QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype |
title_full | QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype |
title_fullStr | QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype |
title_full_unstemmed | QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype |
title_short | QTc Interval is Associated with Atrial Fibrillation in Individuals with Metabolic Syndrome Phenotype |
title_sort | qtc interval is associated with atrial fibrillation in individuals with metabolic syndrome phenotype |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296885/ https://www.ncbi.nlm.nih.gov/pubmed/35874912 http://dx.doi.org/10.2147/IJGM.S361705 |
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