Background: The predictive value of ECG QT interval for mortality in the general population has been weak. Only a few population studies on the predictive value of ECG T-wave morphology parameters for mortality have been reported.
Objective: The purpose of this study was to examine the predictive value of ECG QT interval and T-wave morphology parameters for all-cause and cardiovascular mortality in the general population.
Methods: The prognostic values of ECG QT interval and four T-wave morphology parameters (principal component analysis ratio, T-wave morphology dispersion, total cosine R-to-T, T-wave residuum) were assessed in 5,917 adults (45% men; age 52 +/- 14 years) participating in the Finnish population-based Health 2000 Study.
Results: After a mean follow-up of 5.9 +/- 0.8 years, 335 deaths had occurred, including 131 cardiovascular deaths. QT interval and, with a few exceptions, all T-wave morphology parameters were significant univariate mortality predictors. In men, in Cox multivariate analyses, principal component analysis ratio and T-wave morphology dispersion remained as independent predictors of all-cause and cardiovascular mortality, with the above-median T-wave morphology dispersion group showing the highest risk of cardiovascular death (hazard ratio [HR] 4.4, 95% confidence interval [CI] 2.1-9.4). In women, independent mortality predictors were total cosine R-to-T (cardiovascular mortality) and T-wave residuum (all-cause and cardiovascular mortality), with the above-median T-wave residuum group showing the highest risk of cardiovascular death (HR 2.2, 95% CI 1.1-4.2).
Conclusion: In the general population, T-wave morphology parameters, but not heart rate-corrected QT interval, provide independent prognostic information on mortality. The prognostic value of T-wave morphology parameters is specifically related to cardiovascular mortality and seems to be gender specific.
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http://dx.doi.org/10.1016/j.hrthm.2009.05.006 | DOI Listing |
Sovrem Tekhnologii Med
December 2024
MD, PhD, Leading Researcher, Laboratory of Medical Information Technologies; Republican Scientific and Practical Centre "Cardiology", Ministry of Health of the Republic of Belarus, 110 R. Luxembourg St., Minsk, 220036, Belarus.
Unlabelled: was to develop and clinically test a hardware and software system capable of identifying the predictors of the hidden forms of atrial fibrillation (AF) using 12-lead ECG data in sinus rhythm.
Materials And Methods: There was developed the hardware and software system "Intecard 8.1" to assess a set of markers for atrial electrical instability by 3-5-minute ECG recordings in sinus rhythm.
BMC Cardiovasc Disord
October 2024
Department of Cardiology, Shanghai Ruijin Hospital Luwan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objective: This study aimed to explore the association between electrophysiological markers of early recurrence after defibrillation in post-myocardial infarction ventricular fibrillation and the therapeutic effects of sympathetic renal denervation, as well as to investigate the potential underlying mechanisms.
Methods: Experimental research was conducted using an animal model. Myocardial infarction was induced, followed by defibrillation treatment for ventricular fibrillation cases, and the electrophysiological markers of early recurrence were recorded.
BMC Med Genomics
October 2024
Department of Cardiology, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200062, China.
IEEE Trans Biomed Eng
October 2024
Seizure
November 2024
Division of Pediatric Critical Care Medicine, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA. Electronic address:
Objective: We sought to examine the effects of acute seizures and respiratory derangement on the cardiac electrical properties reflected on the electrocardiogram (ECG); and to analyze their potential interactions with a diagnosis of epilepsy in children.
Methods: Emergency center (EC) visits with seizure or epilepsy diagnostic codes from 1/2011-12/2013 were included if they had ECG within 24 h of EC visit. Patients were excluded if they had pre-existing cardiac conditions, ion channelopathy, or were taking specific cardiac medications.
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