Atrial electrocardiography in obesity and hypertension: Clinical insights from the Polish‐Norwegian Study (PONS)

Vaidean, Georgeta; Mańczuk, Marta; Magnani, Jared W.

doi:10.1002/oby.21678

Cited by 21 publications

(25 citation statements)

References 40 publications

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“…At baseline, 9.9% of individuals in our sample had prolonged P-wave duration, and it emerged in 16.0% of participants during follow-up. In agreement with previous studies [7][8][9], older age, male sex and higher BMI were cross-sectionally associated with prolonged P-wave duration in our study. The same variables, plus systolic blood pressure, were also independently related to incident prolonged P-wave duration.…”

Section: Prolonged P-wave Durationsupporting

confidence: 94%

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Incidence rates, correlates, and prognosis of electrocardiographic P-wave abnormalities – a nationwide population-based study

Lehtonen

Langén

Puukka

et al. 2017

Journal of Electrocardiology

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Section: Prolonged P-wave Durationsupporting

confidence: 94%

“…Aging, male sex, obesity, and hypertension have been shown to cross-sectionally correlate with prolonged P-wave duration and PTF [7][8][9]. However, cross-sectional data are not ideal for establishing causation, and longitudinal data on the incidence and correlates of abnormal P-wave indices are scant.…”

Section: Introductionmentioning

confidence: 99%

Incidence rates, correlates, and prognosis of electrocardiographic P-wave abnormalities – a nationwide population-based study

Lehtonen

Langén

Puukka

et al. 2017

Journal of Electrocardiology

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“…Among the MetS components, hypertension has consistently been associated with prolonged P‐wave indices , QRS duration, and QT interval through chamber hypertrophy and dispersion of repolarization . A finding of a strong association of hypertension with the majority of ECG abnormalities in our study further supports the importance of adequate blood pressure control.…”

Section: Discussionsupporting

confidence: 78%

Association of Obesity Phenotypes with Electrocardiographic Markers of Poor Outcomes in the General Population

Ahmad

Mongraw‐Chaffin

Lewis

et al. 2019

Obesity

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Objective This study aimed to investigate the association of metabolically healthy obesity (MHO) and other obesity phenotypes with electrocardiographic (ECG) markers to understand the pathophysiological basis of increased cardiovascular disease (CVD) risk associated with these phenotypes. Methods A total of 3,700 participants (58.7 ± 13.6 years, 52% women) without CVD from the third National Health and Nutrition Examination Survey (NHANES III) were included. Logistic regression was used to examine the cross‐sectional association between obesity phenotypes (metabolically healthy without obesity [MHNO; reference], metabolically unhealthy without obesity, MHO, and metabolically unhealthy obesity) with ECG markers (PR interval, P‐wave duration, QRS duration, and QT interval). Results Higher odds of prolonged PR interval, P‐wave duration, and QRS duration were observed among all phenotypes compared with MHNO, with the highest in participants with obesity with or without metabolic syndrome. However, for QT interval, the trend of association with obesity phenotypes was as follows, from the strongest to the least strong: metabolically unhealthy obesity, metabolically healthy without obesity, and then MHO, compared with MHNO. Conclusions An association of obesity phenotypes with ECG abnormalities further raises doubt about the concept of MHO as a healthy state. Variations in associations with ECG markers may suggest that metabolic syndrome and obesity have a different relationship with different CVD outcomes and may explain some of the inconsistent CVD estimates for MHO.

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“…Increased epicardial adipose tissue, general obesity, and central obesity result in prolonged PR interval . Abdominal obesity may be one of the risk factors for a prolonged QT interval in premenopausal women, and prolongation of QT interval is common in obesity .…”

Section: Discussionmentioning

confidence: 99%

Comprehensive identification of pleiotropic loci for body fat distribution using the NHGRI‐EBI Catalog of published genome‐wide association studies

et al. 2018

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We conducted a hypothesis-free cross-trait analysis for waist-to-hip ratio adjusted for body mass index (WHR adjBMI ) loci derived through genome-wide association studies (GWAS). Summary statistics from published GWAS were used to capture all WHR adjBMI single-nucleotide polymorphisms (SNPs), and their proxy SNPs were identified. These SNPs were used to extract cross-trait associations between WHR adjBMI SNPs and other traits through the NHGRI-EBI GWAS Catalog. Pathway analysis was conducted for pleiotropic WHR adjBMI SNPs. We found 160 WHR adjBMI SNPs and 3675 proxy SNPs. Cross-trait analysis identified 239 associations, of which 100 were for obesity traits. The remaining 139 associations were filtered down to 101 unique linkage disequilibrium block associations, which were grouped into 13 categories: lipids, red blood cell traits, white blood cell counts, inflammatory markers and autoimmune diseases, type 2 diabetes-related traits, adiponectin, cancers, blood pressure, height, neuropsychiatric disorders, electrocardiography changes, urea measurement, and others. The highest number of cross-trait associations were found for triglycerides (n = 10), high-density lipoprotein cholesterol (n = 9), and reticulocyte counts (n = 8). Pathway analysis for WHR adjBMI pleiotropic SNPs found immune function pathways as the top canonical pathways. Results from our original methodology indicate a novel genetic association between WHR adjBMI and reticulocyte counts and highlight the pleiotropy between abdominal obesity, immune pathways, and other traits.

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Atrial electrocardiography in obesity and hypertension: Clinical insights from the Polish‐Norwegian Study (PONS)

Abstract: P-wave indices increase in general and central obesity. Hypertension exerts an incremental effect in people with overweight but not in people with obesity. The study furthered the understanding of atrial remodeling in the setting of major atrial fibrillation risk factors.

Cited by 21 publications

References 40 publications

Incidence rates, correlates, and prognosis of electrocardiographic P-wave abnormalities – a nationwide population-based study

Incidence rates, correlates, and prognosis of electrocardiographic P-wave abnormalities – a nationwide population-based study

Association of Obesity Phenotypes with Electrocardiographic Markers of Poor Outcomes in the General Population

Comprehensive identification of pleiotropic loci for body fat distribution using the NHGRI‐EBI Catalog of published genome‐wide association studies

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