Background: Electrocardiographic (ECG) abnormalities are independently associated with poor outcomes in the general population. Their prevalence and determinants were assessed in the understudied African American population with type 2 diabetes.
Methods: Standard 12-lead ECGs were digitally recorded in 635 unrelated African American-Diabetes Heart Study (AA-DHS) participants, automatically processed at a central lab, read, and coded using standard Minnesota ECG Classification. Age- and sex-specific prevalence rates of ECG abnormalities were calculated and logistic regression models were fitted to examine cross-sectional associations between participant characteristics and ECG abnormalities.
Results: Participants were 56% women with a mean age of 56 years; 60% had at least one minor or major ECG abnormality [23% ⩾ 1 major (or major plus minor), and 37% ⩾ 1 minor (with no major)]. Men had a higher prevalence of ⩾ 1 minor or major ECG abnormality (66.1% men vs. 55.6% women, p=0.0089). In univariate analysis, age, past history of cardiovascular disease, diabetes duration, systolic blood pressure, sex and statin use were associated with the presence of any (major or minor) ECG abnormalities. In a multivariate model including variables, female sex (OR [95% CI] 0.79 [0.67, 0.93]), statin use (0.79 [0.67, 0.93]) and diabetes duration (1.03 [1.0, 1.05]) remained statistically significant.
Conclusions: Nearly three out of five African Americans with diabetes had at least one ECG abnormality. Female sex and statin use were significantly associated with lower odds of any ECG abnormality and diabetes duration was significantly associated with higher odds of any ECG abnormality in the multivariable model.
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http://dx.doi.org/10.1016/j.jegh.2014.04.003 | DOI Listing |
Sci Rep
December 2024
Department of Physiology, School of Medicine, University of Louisville, Louisville, KY, USA.
Background -Smoking is associated with arrhythmia and sudden cardiac death, but the biological mechanisms remain unclear. In electrocardiogram (ECG) recordings abnormal durations of ventricular repolarization (QT interval), atrial depolarization (P wave), and atrioventricular depolarization (PR interval and segment), predict cardiac arrhythmia and mortality. Previous analyses of the National Health and Nutrition Examination Survey (NHANES) database for associations between smoking and ECG abnormalities were incomplete.
View Article and Find Full Text PDFJ Electrocardiol
December 2024
Department of Chest Diseases, Faculty of Medicine, Çanakkale Onsekiz Mart University, Canakkale, Turkey.
Background: Chronic Obstructive Pulmonary Disease (COPD) is associated with left atrial (LA) dyfunction, which may contribute to adverse cardiovascular outcomes. This study investigates the predictive value of lately identified morphology-voltage-P wave duration electrocardiography (MVP ECG) score for detecting early LA dysfunction in COPD patients.
Methods: In this cross-sectional study, 101 COPD patients were enrolled.
Neurol Genet
February 2025
Department of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira.
Background And Objectives: Becker muscular dystrophy (BMD) is an allelic disorder of Duchenne muscular dystrophy (DMD) in which pathogenic variants in cause progressive worsening of motor dysfunction, muscle weakness and atrophy, and death due to respiratory and cardiac failure. BMD often has in-frame deletions that preserve the amino acid reading frame, but there are some cases with microvariants or duplications. In recent years, the importance of therapeutic development and care for BMD has been emphasized.
View Article and Find Full Text PDFElife
December 2024
Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Sudden death after myocardial infarction (MI) is associated with electrophysiological heterogeneities and ionic current remodelling. Low ejection fraction (EF) is used in risk stratification, but its mechanistic links with pro-arrhythmic heterogeneities are unknown. We aim to provide mechanistic explanations of clinical phenotypes in acute and chronic MI, from ionic current remodelling to ECG and EF, using human electromechanical modelling and simulation to augment experimental and clinical investigations.
View Article and Find Full Text PDFBMC Cardiovasc Disord
December 2024
Department of Cardiology, The Second Affiliated Hospital of Wannan Medical College, 10# Kangfu road, Wuhu, Anhui Province, 241000, China.
Objective: The aim of this study was to investigate the dynamic changes in QTc interval duration among patients with COVID-19 infection before, during, and after infection, in order to assess the short- and potential long-term impact of COVID-19 on cardiac electrophysiology.
Methods: A retrospective analysis was conducted on 303 inpatients diagnosed with COVID-19 who visited a tertiary Grade A hospital in China between August 2022 and December 2023. Inclusion criteria required patients to have at least two electrocardiogram (ECG) recordings at three specific time points: before COVID-19 infection, during acute infection, and after recovery (more than one month post-infection).
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