Purpose: Electrocardiogram (ECG) is generally performed in patients with heart failure with preserved ejection fraction (HFpEF), but the prognostic value of abnormal ECG is not fully understood. We aim to explore the prognostic value of abnormal ECG at baseline in HFpEF using data from the TOPCAT trial.
Methods: A total of 1736 patients from TOPCAT-Americas were included and divided into normal versus abnormal ECG groups. Survival analyses were performed for the following outcomes: the primary endpoint [a composite of cardiovascular death, heart failure (HF) hospitalization, and aborted cardiac arrest], all-cause death, cardiovascular death, and HF hospitalization.
Results: Abnormal ECG was significantly associated with higher risks of the primary endpoint [hazard ratio (HR): 1.480, P = 0.001] and HF hospitalization (HR: 1.400, P = 0.015), and borderline significantly with cardiovascular death (HR: 1.453, P = 0.052) in patients with HFpEF after multivariate adjustment. As for specific ECG abnormalities, bundle branch block was associated with the primary endpoint (HR: 1.278, P = 0.020) and HF hospitalization (HR: 1.333, P = 0.016), whereas atrial fibrillation/flutter was associated with all-cause death (HR: 1.345, P = 0.051) and cardiovascular death (HR: 1.570, P = 0.023), but ventricular paced rhythm, pathological Q waves, and left ventricular hypertrophy were not of prognostic significance. Besides, other unspecific abnormalities together were associated with the primary endpoint (HR: 1.213, P = 0.032).
Conclusion: Abnormal ECG at baseline could be associated with poor prognosis in patients with HFpEF. Physicians are encouraged to pay more attention to HFpEF patients who present an abnormal ECG instead of ignoring those obscure abnormalities. Key messages What is already known on this topic Electrocardiogram (ECG) is a basic and easily accessible examination for patients with heart failure with preserved ejection fraction (HFpEF). Some findings from ECG such as frontal QRS-T angle, QTc interval, and the Cornell product have been shown to be associated with the prognosis of HFpEF but these results are from studies with relatively small sample sizes. What this study adds Using data from TOPCAT-Americas, this study found that an overall estimation of abnormal ECG significantly predicted poor prognosis in patients with HFpEF. As for specific abnormalities in ECG, bundle branch block mainly predicted heart failure hospitalization and atrial fibrillation mainly predicted death. How this study might affect research, practice, or policy This study reminds physicians to pay more attention to HFpEF patients who present an abnormal ECG.
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http://dx.doi.org/10.1093/postmj/qgad055 | DOI Listing |
Rev Cardiovasc Med
January 2025
Department of Cardiovasculair Sciences, KU Leuven, 3000 Leuven, Belgium.
Ventricular depolarization refers to the electrical activation and subsequent contraction of the ventricles, visible as the QRS complex on a 12-lead electrocardiogram (ECG). A well-organized and efficient depolarization is critical for cardiac function. Abnormalities in ventricular depolarization may indicate various pathologies and can be present in all leads if the condition is general, or in a subgroup of anatomically contiguous leads if the condition is limited to the corresponding anatomic location of the heart.
View Article and Find Full Text PDFThis analysis assessed the relationship between the plasma concentrations of loperamide and its N-desmethyl loperamide meta- bolite (M1) and the potential QT interval prolongation at therapeutic and supratherapeutic doses. The exposure-response analysis was performed using the data from healthy adults participating in a randomized, double-blind, single-dose, four-way (placebo; loperamide 8 mg [therapeutic]; loperamide 48 mg [supratherapeutic]; moxifloxacin 400 mg [positive control]) crossover study. The electrocardiographic measurements extracted from 12-lead digital Holter recordings were time-matched to pharmacokinetic sampling of loperamide/M1.
View Article and Find Full Text PDFEur J Prev Cardiol
January 2025
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice Medicine, De Boelelaan 1117, Amsterdam, The Netherlands.
Aims: To investigate if adding ECG abnormalities as a predictor improves the performance of incident CVD-risk prediction models for people with type 2 diabetes (T2D).
Methods: We evaluated the four major prediction models that are recommended by the guidelines of the American College of Cardiology/American Heart Association and European Society of Cardiology, in 11,224 people with T2D without CVD (coronary heart disease, heart failure, stroke, thrombosis) from the Hoorn Diabetes Care System cohort (1998-2018). Baseline measurements included CVD-risk factors and ECG recordings coded according to the Minnesota Classification as no, minor or major abnormalities.
Comput Biol Med
January 2025
Department of Electrical and Electronics Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Electronic address:
Cardiovascular disease (CVD) is caused by the abnormal functioning of the heart which results in a high mortality rate across the globe. The accurate and early prediction of various CVDs from the electrocardiogram (ECG) is vital for the prevention of deaths caused by CVD. Artificial intelligence (AI) is used to categorize and accurately predict various CVDs.
View Article and Find Full Text PDFBiochem Biophys Res Commun
January 2025
Cardiovascular Research Group, Department of Pharmacy, COMSATS University Islamabad, Abbottabad Campus, University Road, Tobe Camp, Abbottabad, 22060, KPK, Pakistan. Electronic address:
Gentisic acid (GA), a cytochrome P450 metabolite of the antiplatelet drug aspirin, exhibits smooth muscle relaxant, antiatherogenic, and antioxidant activities. It also has a protective role in hypertrophic heart failure, suggesting its role in the management of myocardial infarction (MI). This study aimed to explore the protective activity of GA in isoproterenol (ISO)-induced MI in Sprague-Dawley (SD) rats in-vivo, followed by mechanistic investigation ex-vivo.
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