Does the presence of Q waves on the EKG accurately predict prior myocardial infarction when compared to cardiac magnetic resonance using late gadolinium enhancement? A cross-population study of noninfarct vs infarct patients

Nadour, Wadih; Doyle, Mark; Williams, Ronald; Rayarao, Geetha; Grant, Saundra; Thompson, Diane V; Yamrozik, June; Biederman, Robert W

doi:10.1016/j.hrthm.2014.07.025

Cited by 29 publications

(20 citation statements)

References 30 publications

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“…A premature ventricular contraction or a ventricular rhythm can be revealed as a prolonged QRS duration which is associated with mortality in both the general population and in patients with cardiac diseases [5][6][7][8][9] . T waves can be helpful in a variety of pathologies: as an example, tall T waves in anterior chest lead III, aVR, and V1 with a negative QRS complex may suggest acute myocardial ischemia 10 . QT interval measures myocardial depolarization and repolarization time, while shortening or prolongation of QT interval is associated with an increased risk for arrhythmias and sudden cardiac death (SCD) 11,12 .…”

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confidence: 99%

A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population

Wang

Gao

Shi

et al. 2021

Sci Rep

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Electrocardiography is a common and widely-performed medical examination based on the measurement and evaluation of electrocardiogram (ECG) to assess the up-to-date cardiac rhythms and thus suggest the health conditions of cardiovascular system and on a larger level the individual’s wellness. Abnormal ECG assessment from the detection of abnormal heart rhythms may have clinical implications including blood clots in formation, ongoing heart attack, coronary artery blockage, etc. Past genetic-phenotypic research focused primarily on the physical parameters of ECG but not the medical evaluation. To unbiasedly uncover the underlying links of genetic variants with normal vs. abnormal ECG assessment, a genome-wide association study (GWAS) is carried out in a 1006-participant cohort of Chinese population effectively genotyped for 243487 single nucleotide polymorphisms (SNPs). Both age and sex are influential factors, and six novel SNPs are identified for potential association with abnormal ECG. With the selected SNPs, a polygenic risk score (PRS) differentiates the case–control subgroups, and correlates well with increased risk of abnormal ECG. The findings are reproduced in an independent validation cohort. The derived PRS may function as a potential biomarker for prospectively screening the high-risk subgroup of heart issues in the Chinese population.

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confidence: 99%

A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population

Wang

Gao

Shi

et al. 2021

Sci Rep

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“…Pathological Q-waves and Cornell or Sokolow-Lyon voltage criteria for LVH were not as strongly associated with OHCA as ST-depressions, LBBB and NSIB. Both are known to have poor sensitivity 27 28. This could explain our findings as both pathological Q-waves and LVH are known to be associated with increased risk of sudden death 1 3 15.…”

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confidence: 61%

Associations between common ECG abnormalities and out-of-hospital cardiac arrest

et al. 2019

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BackgroundOut-of-hospital cardiac arrest (OHCA) is often the first manifestation of unrecognised cardiac disease. ECG abnormalities encountered in primary care settings may be warning signs of OHCA.ObjectiveWe examined the association between common ECG abnormalities and OHCA in a primary care setting.MethodsWe cross-linked individuals who had an ECG recording between 2001 and 2011 in a primary care setting with the Danish Cardiac Arrest Registry and identified OHCAs of presumed cardiac cause.ResultsA total of 326 227 individuals were included and 2667 (0,8%) suffered an OHCA. In Cox regression analyses, adjusted for age and sex, the following ECG findings were strongly associated with OHCA: ST-depression without concomitant atrial fibrillation (HR 2.79; 95% CI 2.45 to 3.18), left bundle branch block (LBBB; HR 3.44; 95% CI 2.85 to 4.14) and non-specific intraventricular block (NSIB; HR 3.15; 95% CI 2.58 to 3.83). Also associated with OHCA were atrial fibrillation (HR 1.89; 95% CI 1.63 to 2.18), Q-wave (HR 1.75; 95% CI 1.57 to 1.95), Cornell and Sokolow-Lyon criteria for left ventricular hypertrophy (HR 1.56; 95% CI 1.33 to 1.82 and HR 1.27; 95% CI 1.12 to 1.45, respectively), ST-elevation (HR 1.40; 95% CI 1.09 to 1.54) and right bundle branch block (HR 1.29; 95% CI 1.09 to 1.54). The association between ST-depression and OHCA diminished with concomitant atrial fibrillation (HR 1.79; 95% CI 1.42 to 2.24, p < 0.01 for interaction). Among patients suffering from OHCA, without a known cardiac disease at the time of the cardiac arrest, 14.2 % had LBBB, NSIB or ST-depression.ConclusionsSeveral common ECG findings obtained from a primary care setting are associated with OHCA.

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“…When analyzing the results by location of the scar, the sensitivity was lowest for lateral scars with only 14% of those detected by ECG 14 . Nadour et al reported similar results (also using CMR as reference) with a sensitivity of 66% and specificity of 85% with a significant number of false positives of Q waves in the absence of CMR scar findings 15 .…”

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confidence: 72%

Myocardial infarction assessment by surface electrocardiography

Patel

Doppalapudi

Hage

2021

Journal of Nuclear Cardiology

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Does the presence of Q waves on the EKG accurately predict prior myocardial infarction when compared to cardiac magnetic resonance using late gadolinium enhancement? A cross-population study of noninfarct vs infarct patients

Cited by 29 publications

References 30 publications

A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population

A genome-wide association and polygenic risk score study on abnormal electrocardiogram in a Chinese population

Associations between common ECG abnormalities and out-of-hospital cardiac arrest

Myocardial infarction assessment by surface electrocardiography

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