Literature DB >> 15683491

Coronary artery disease alters ventricular repolarization dynamics in type 2 diabetes.

Bojan Vrtovec1, Matjaz Sinkovec, Vito Starc, Branislav Radovancevic, Todd T Schlegel.   

Abstract

Ventricular repolarization dynamics (VRD) is an important predictor of outcome in diabetes. We examined the potential impact of coronary artery disease (CAD) on VRD in type 2 diabetic patients. We recorded 5-minute high-resolution resting electrocardiograms in 38 diabetic patients undergoing elective coronary angiography, and in 38 age- and gender-matched apparently healthy subjects (controls). Using leads-I and -II, time-domain indices of VRD were calculated. Coronary angiography was regarded as positive if >/= 50% stenosis was found. Angiography was positive in 21 diabetic patients (55%). Patients with CAD had a significantly higher degree of VRD than controls (SDNN(QT): 15.81 +/- 7.22 ms versus 8.94 +/- 6.04 ms; P < 0.001, rMSSD(QT): 21.02 +/- 7.07 ms versus 11.18 +/- 7.45 ms; P < 0.001). Ventricular repolarization dynamics in diabetic patients with negative angiograms did not differ from VRD in controls (SDNN(QT): 8.94 +/- 6.04 ms versus 7.44 +/- 5.72 ms; P = 0.67, rMSSD(QT): 11.18 +/- 7.45 ms versus 10.22 +/- 5.35 ms; P = 0.82). CAD increases VRD in patients with type 2 diabetes. Therefore, changes in ventricular repolarization in diabetic patients may be due to silent CAD rather than due to diabetes per se.

Entities:  

Mesh:

Year:  2005        PMID: 15683491     DOI: 10.1111/j.1540-8159.2005.00076.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  5 in total

1.  Heart age estimated using explainable advanced electrocardiography.

Authors:  Thomas Lindow; Israel Palencia-Lamela; Todd T Schlegel; Martin Ugander
Journal:  Sci Rep       Date:  2022-06-14       Impact factor: 4.996

2.  Accuracy of advanced versus strictly conventional 12-lead ECG for detection and screening of coronary artery disease, left ventricular hypertrophy and left ventricular systolic dysfunction.

Authors:  Todd T Schlegel; Walter B Kulecz; Alan H Feiveson; E Carl Greco; Jude L DePalma; Vito Starc; Bojan Vrtovec; M Atiar Rahman; Michael W Bungo; Matthew J Hayat; Terry Bauch; Reynolds Delgado; Stafford G Warren; Tulio Núñez-Medina; Rubén Medina; Diego Jugo; Håkan Arheden; Olle Pahlm
Journal:  BMC Cardiovasc Disord       Date:  2010-06-16       Impact factor: 2.298

3.  Prospective cohort study of lead exposure and electrocardiographic conduction disturbances in the Department of Veterans Affairs Normative Aging Study.

Authors:  Ki-Do Eum; Linda H Nie; Joel Schwartz; Pantel S Vokonas; David Sparrow; Howard Hu; Marc G Weisskopf
Journal:  Environ Health Perspect       Date:  2011-03-17       Impact factor: 9.031

4.  Changes of Virtual Planar QRS and T Vectors Derived from Holter in the Populations with and without Diabetes Mellitus.

Authors:  Jia Chen; Yubi Lin; Jian Yu; Wanqun Chen; Zhe Xu; Zhenzhen Yang; Chuqian Zeng; Wenfeng Li; Xiaoshu Lai; Qiji Lu; Jingwen Zhou; Bixia Tian; Jing Xu; Yanping Lin; Zuoyi Du; Aidong Zhang
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-05-04       Impact factor: 1.468

5.  Advanced Electrocardiography Identifies Left Ventricular Systolic Dysfunction in Non-Ischemic Cardiomyopathy and Tracks Serial Change over Time.

Authors:  Kerryanne Johnson; Stacey Neilson; Andrew To; Nezar Amir; Andrew Cave; Tony Scott; Martin Orr; Mia Parata; Victoria Day; Patrick Gladding
Journal:  J Cardiovasc Dev Dis       Date:  2015-05-13
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.