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A large frontal QRS-T angle is a strong predictor of the long-term risk of myocardial infarction and all-cause mortality in the diabetic population.
- Source :
-
Journal of Diabetes & its Complications . Mar2017, Vol. 31 Issue 3, p551-555. 5p. - Publication Year :
- 2017
-
Abstract
- <bold>Background: </bold>A large angle between the QRS vector and the T-wave vector (QRS-T angle) in electrocardiograms (ECGs) has recently been introduced as a marker of poor prognosis. The prognostic value in diabetes is unknown. We assessed the long-term predictive power of the frontal plane QRS-T angle in the diabetic population.<bold>Methods: </bold>In 1992-93, the diabetic population of the municipality of Horsens, Denmark, was delineated by the prescription method, and an age- and gender-stratified sample of 240 diabetic persons was randomly selected. In 2015, 12-lead ECGs taken in 1993-94 were analyzed. Vital statistics were obtained from the Danish Civil Registration System and data regarding hospitalizations taken from The National Patient Registry in July 2015.<bold>Results: </bold>In total, 178 people agreed to participate (74%) in the study, with the mean (sd) age being 58.9 (10.2) years and 56% being male. The total observation time was 21.5 (0.18) years, during which time 122 (69%) persons died, 32 (18%) suffered a myocardial infarction (MI) and 126 (71%) reached the composite endpoint of non-fatal MI or all-cause death. In Cox regression multivariate analysis a QRS-T angle above 90° was found to be an independent predictor of all-cause death (HR=2.2 (95% CI: 1.3-3.8)), MI (HR=2.95 (95% CI: 1.1-7.7)) and MI or all-cause death (HR=2.0 (95% CI: 1.2-3.5)) (all p<0.05), when adjusting for the effects of co-variates (gender, age, length of diabetes, BMI, total cholesterol, diabetes type, hemoglobin A1c, smoking, hypertension and previous MI).<bold>Conclusion: </bold>A large QRS-T angle is a strong, independent long-term predictor of all-cause mortality, MI and MI or all-cause death in the diabetic population. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MYOCARDIAL infarction complications
*TYPE 2 diabetes complications
*DIABETIC angiopathies
*ELECTROCARDIOGRAPHY
*TYPE 1 diabetes
*LONGITUDINAL method
*MORTALITY
*MYOCARDIAL infarction
*TYPE 2 diabetes
*PROGNOSIS
*SURVIVAL analysis (Biometry)
*PREDICTIVE tests
*ACQUISITION of data
*PROPORTIONAL hazards models
*DIABETIC cardiomyopathy
*DISEASE complications
*DIAGNOSIS
MYOCARDIAL infarction diagnosis
MYOCARDIAL infarction-related mortality
Subjects
Details
- Language :
- English
- ISSN :
- 10568727
- Volume :
- 31
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Journal of Diabetes & its Complications
- Publication Type :
- Academic Journal
- Accession number :
- 129403368
- Full Text :
- https://doi.org/10.1016/j.jdiacomp.2016.12.001