T wave abnormalities, high body mass index, current smoking and high lipoprotein (a) levels predict the development of major abnormal Q/QS patterns 20 years later. A population-based study

Möller, Christina Ström; Byberg, Liisa; Sundström, Johan; Lind, Lars

doi:10.1186/1471-2261-6-10

Cited by 10 publications

(7 citation statements)

References 25 publications

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“…The characteristics of these studies are summarized in Tables 1 and 2. 1,2,[4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] …”

Section: Resultsmentioning

confidence: 99%

“…Vitelli et al 10 also found that high BMI, lipoprotein(a), and glucose levels were more prevalent in those with T-wave abnormalities. Moller et al 9 examined the predictors associated with the development of major abnormal Q/QS patterns in a prospective study over 20 years, which included 2322 men aged 50 years who participated in this study. Anthropometrical and metabolic factors, ECG abnormalities, and vital signs were recorded at baseline and 20 years later.…”

Section: Associations Of Bmi With Ecg Abnormalitiesmentioning

confidence: 99%

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Association of Traditional Cardiovascular Risk Factors With Development of Major and Minor Electrocardiographic Abnormalities

Healy

Lloyd‐Jones

2016

Cardiology in Review

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Electrocardiographic (ECG) abnormalities are prevalent in middle aged and are associated with risk of adverse cardiovascular events. It is unclear whether and to what extent traditional risk factors are associated with the development of ECG abnormalities. To determine whether traditional cardiovascular risk factors are associated with the presence or development of ECG abnormalities, we performed a systematic review of the English-language literature for cross-sectional and prospective studies examining associations between traditional cardiovascular risk factors and ECG abnormalities, including major and minor ECG abnormalities, isolated nonspecific ST-segment and T-wave abnormalities, other ST-segment and T-wave abnormalities, QT interval, Q waves, and QRS duration. Of the 202 papers initially identified, 19 were eligible for inclusion. We examined data analyzing risk factor associations with ECG abnormalities in individuals free of cardiovascular disease. For composite major or minor ECG abnormalities, black race, older age, higher blood pressure, use of antihypertensive medications, higher body mass index, diabetes, smoking, and evidence of left ventricular hypertrophy or higher left ventricular mass are the factors most commonly associated with prevalence and incidence. Risk factor associations differ somewhat according to types of specific ECG abnormalities. Because major and minor ECG abnormalities have important and independent prognostic significance, understanding the groups at risk for their development may inform prevention strategies focused on modifiable risk factors to reduce the burden of ECG abnormalities, which may in turn promote CVD prevention.

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“…The characteristics of these studies are summarized in Tables 1 and 2. 1,2,[4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] …”

Section: Resultsmentioning

confidence: 99%

Section: Associations Of Bmi With Ecg Abnormalitiesmentioning

confidence: 99%

Association of Traditional Cardiovascular Risk Factors With Development of Major and Minor Electrocardiographic Abnormalities

Healy

Lloyd‐Jones

2016

Cardiology in Review

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“…2 Therefore, little epidemiologic data exist describing the association between T-wave inversion (TWI) on ECG and the prediction of ACS. 3 Most previous studies investigating risk factors for ACS are based on patients' ECGs recorded in the emergency room 4 and in hospital. 5,6 To the best of our knowledge, there are no large cohort studies showing the relationship between TWI and the risk for ACS in a general population.…”

Section: Introductionmentioning

confidence: 99%

T-wave inversion on electrocardiogram is related to the risk of acute coronary syndrome in the general population

Bakhoya

Kurl

Laukkanen

2012

Eur J Prev Cardiolog

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“…The results of the association study for each SNP with T2DM in the present Chinese population are shown in Table 3. KCNK16 rs1535500, GLIS3 rs7041847, WWOX rs17797882 and MAEA rs6815464 showed the same direction of effect (odds ratio [OR] > 1.0) as in the original reports (Sanada et al, 2012). KCNK16 rs1535500 and GLIS3 rs7041847 were associated with T2DM (rs1535500: p=0.005, OR=1.224, 95% CI 1.062-1.409; We analyzed the association of these SNPs with T2DM in the studied participants stratified by BMI.…”

Section: Resultsmentioning

confidence: 81%

East Asian Genome-wide association study derived loci in relation to type 2 diabetes in the Han Chinese population

et al. 2019

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Meta-analysis of GWAS in East Asian populations had established 10 loci that were associated with type 2 diabetes. Eight of them were with genome-wide significance and two with a border line association. Since these data have not been studied in an independent Han Chinese population, we aimed to investigate the association of these susceptibility loci with type 2 diabetes in an independent Han Chinese population. We executed a case-control study in 2 000 Chinese by the SNPscan method. Firstly, the repetitive sequences of 10 loci were assessed. Next, we investigated the association of 8 SNPs out of 10 with type 2 diabetes and constructed the GRS of those 8 SNPs. Finally, the relationship of the 8 loci and diabetes-related traits was analyzed. Based on the fact, that highly repetitive sequences were detected in 2 SNPs, we investigated the remaining 8 SNPs. With the exception of four SNPs (CMIP rs16955379, PEPD rs3786897, PSMD6 rs831571, ZFAND3 rs9470794), the other SNPs had the same direction of effect (odds ratio [OR]>1.0) as in the original reports, especially GLIS3 rs7041847 and KCNK16 rs1535500 were significantly associated with type 2 diabetes (rs1535500: p=0.005, OR=1.224, 95% CI 1.062–1.409; rs7041847: p=0.035, OR=1.118, 95% CI 1.070–1.388). The GRS constructed from the 8 SNPs was significantly associated with type 2 diabetes in the Chinese population (p=0.004, OR=1.065, 95% CI: 1.021–1.111). Among the participants with 24≤BMI<28 kg/m2 the 8 SNPs were significantly associated with type 2 diabetes (p=0.040, OR=1.079, 95% CI: 1.003–1.160). In quantitative trait analyses, WWOX rs17797882 was associated with decreased HOMA-β and increased level of TG and HDL-Ch, while PEPD rs3786897 and MAEA rs6815464 were associated with decreased fasting plasma glucose, and KCNK16 rs1535500 has shown a significant association with increased T-Ch and PSMD6 rs831571 had a significant association with decreased HDL-Ch. In Conclusion, with high probability the 8 loci identified in the East Asian GWAS meta-analysis are associated with type 2 diabetes in the Han Chinese population.

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T wave abnormalities, high body mass index, current smoking and high lipoprotein (a) levels predict the development of major abnormal Q/QS patterns 20 years later. A population-based study

Cited by 10 publications

References 25 publications

Association of Traditional Cardiovascular Risk Factors With Development of Major and Minor Electrocardiographic Abnormalities

Association of Traditional Cardiovascular Risk Factors With Development of Major and Minor Electrocardiographic Abnormalities

T-wave inversion on electrocardiogram is related to the risk of acute coronary syndrome in the general population

East Asian Genome-wide association study derived loci in relation to type 2 diabetes in the Han Chinese population

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