Background: Electromechanical (EM) coupling heterogeneity is significant in long QT syndrome (LQTS), particularly in symptomatic patients; EM window (EMW) has been proposed as an indicator of interaction and a better predictor of arrhythmia than QTc.
Hypothesis: To investigate the dynamic response of EMW to exercise in LQTS and its predictive value of arrhythmia.
Methods: Forty-seven LQTS carriers (45 ± 15 years, 20 with arrhythmic events), and 35 controls underwent exercise echocardiogram. EMW was measured as the time difference between aortic valve closure on Doppler and the end of QT interval on the superimposed electrocardiogram (ECG). Measurements were obtained at rest, peak exercise (PE) and 4 minutes into recovery.
Results: Patients did not differ in age, gender, heart rate, or left ventricular ejection fraction but had a negative resting EMW compared with controls (-42 ± 22 vs 17 ± 5 ms, P < 0.0001). EMW became more negative at PE (-89 ± 43 vs 16 ± 7 ms, P = 0.0001) and recovery (-65 ± 39 vs 16 ± 6 ms, P = 0.001) in patients, particularly the symptomatic, but remained unchanged in controls. PE EMW was a stronger predictor of arrhythmic events than QTc (AUC:0.765 vs 0.569, P < 0.001). B-blockers did not affect EMW at rest but was less negative at PE (BB: -66 ± 21 vs no-BB: -113 ± 25 ms, P < 0.001). LQT1 patients had worse PE EMW negativity than LQT2.
Conclusion: LQTS patients have significantly negative EMW, which worsens with exercise. These changes are more pronounced in patients with documented arrhythmic events and decrease with B-blocker therapy. Thus, EMW assessment during exercise may help improve risk stratification and management of LQTS patients.
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http://dx.doi.org/10.1002/clc.23132 | DOI Listing |
Front Cardiovasc Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.
Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).
Background: The association between corrected QT (QTc) interval and life-threatening cardiac events in patients with hypertrophic cardiomyopathy (HCM) remains unclear. This study sought to investigate whether the prolonged QTc was associated with HCM-related death in patients with HCM.
Methods: We included 445 patients with HCM (mean age 51 ± 16 years, 67% men).
J Pathol
January 2025
Cardiorenal Translational Laboratory, Imas12 Research Institute, Hospital Universitario 12 de Octubre, Madrid, Spain.
Ischaemic heart disease (IHD) remains a major cause of death and morbidity. Klotho is a well-known anti-ageing factor with relevant cardioprotective actions, at least when renal dysfunction is present, but its actions are much less known when renal function is preserved. This study investigated Klotho as a biomarker and potential novel treatment of IHD-associated complications after myocardial infarction (MI) under preserved renal function.
View Article and Find Full Text PDFJACC Adv
January 2025
Hypertrophic Cardiomyopathy Center, Division of Cardiovascular Medicine, University of Texas Medical Branch, Galveston, Texas, USA.
Background: The effect of pregnancy on individuals with hypertrophic cardiomyopathy (HCM) is not well investigated.
Objectives: The purpose of this study was to assess the impact of pregnancy on all-cause mortality and clinical outcomes among individuals with HCM.
Methods: Using the TriNetX research network, we identified individuals within reproductive age (≥18-45 years) with a diagnosis of HCM between 2012 and 2022 (n = 10,936).
Am J Cardiol
January 2025
Department of Cardiology, Heart Lung Center, Leiden University Medical Center, Albinusdreef 2, 2333, ZA, The Netherlands. Electronic address:
Despite arrhythmogenic right ventricular cardiomyopathy (ARVC) being predominantly a right ventricular (RV) disease, concomitant left ventricular (LV) involvement has been recognized. ARVC is diagnosed by the RV-centric 2010 Task Force Criteria(TFC) using routine echocardiography, but previous studies have suggested that strain imaging may be more sensitive to detect RV and LV dysfunction. No data however are available regarding the additional value of combining biventricular strain for risk stratification.
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