Literature DB >> 25201032

QRS-T angle: a review.

Andrew Oehler1, Trevor Feldman, Charles A Henrikson, Larisa G Tereshchenko.   

Abstract

For proper distribution of preventative resources, a more robust method of cardiac risk stratification should be encouraged in addition to merely reduced ejection fraction. To this end, the QRS-T angle, an electrocardiogram-derived measure of the difference in mean vectors of depolarization and repolarization, has been found associated with sudden cardiac death and other mortal and morbid outcomes in multiple observational studies over the past decade. The use of both frontal and spatial QRS-T angle in the prediction of future cardiac events including sudden cardiac death, all-cause mortality, and further cardiac morbidity is reviewed here.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  cardiac arrest; clinical; electrocardiography; electrophysiology; noninvasive techniques; sudden death

Mesh:

Year:  2014        PMID: 25201032      PMCID: PMC4237708          DOI: 10.1111/anec.12206

Source DB:  PubMed          Journal:  Ann Noninvasive Electrocardiol        ISSN: 1082-720X            Impact factor:   1.468


  28 in total

1.  Spatial QRS-T angle as a risk indicator of cardiac death in an elderly population.

Authors:  Jan A Kors; Isabella Kardys; Irene M van der Meer; Gerard van Herpen; Albert Hofman; Deirdre A M van der Kuip; Jacqueline C M Witteman
Journal:  J Electrocardiol       Date:  2003       Impact factor: 1.438

2.  THE CORRECTED ORTHOGONAL ELECTROCARDIOGRAM AND VECTORCARDIOGRAM IN 510 NORMAL MEN (FRANK LEAD SYSTEM).

Authors:  H W DRAPER; C J PEFFER; F W STALLMANN; D LITTMANN; H V PIPBERGER
Journal:  Circulation       Date:  1964-12       Impact factor: 29.690

3.  An accurate, clinically practical system for spatial vectorcardiography.

Authors:  E FRANK
Journal:  Circulation       Date:  1956-05       Impact factor: 29.690

4.  A theoretical elucidation of the notion ventricular gradient.

Authors:  H C BURGER
Journal:  Am Heart J       Date:  1957-02       Impact factor: 4.749

5.  Spatial QRS-T angle predicts cardiac death in a clinical population.

Authors:  Takuya Yamazaki; Victor F Froelicher; Jonathan Myers; Sung Chun; Paul Wang
Journal:  Heart Rhythm       Date:  2005-01       Impact factor: 6.343

6.  A study of the normal QRS-T angle in the frontal plane.

Authors:  R Ziegler; D K Bloomfield
Journal:  J Electrocardiol       Date:  1970       Impact factor: 1.438

7.  A contemporary view of the ventricular gradient of Wilson.

Authors:  R Plonsey
Journal:  J Electrocardiol       Date:  1979-10       Impact factor: 1.438

8.  The ventricular gradient revisited: relation to the area under the action potential.

Authors:  D B Geselowitz
Journal:  IEEE Trans Biomed Eng       Date:  1983-01       Impact factor: 4.538

9.  Relations between QRS|T angle, cardiac risk factors, and mortality in the third National Health and Nutrition Examination Survey (NHANES III).

Authors:  William Whang; Daichi Shimbo; Emily B Levitan; Jonathan D Newman; Pentti M Rautaharju; Karina W Davidson; Paul Muntner
Journal:  Am J Cardiol       Date:  2012-01-03       Impact factor: 2.778

10.  Electrocardiographic abnormalities that predict coronary heart disease events and mortality in postmenopausal women: the Women's Health Initiative.

Authors:  Pentti M Rautaharju; Charles Kooperberg; Joseph C Larson; Andrea LaCroix
Journal:  Circulation       Date:  2006-01-31       Impact factor: 29.690

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  41 in total

1.  The association of metabolic syndrome and QRS|T angle in US adults (NHANES III).

Authors:  Leanna Delhey; Jing Jin; Susan Thapa; Robert Delongchamp; Mohammed F Faramawi
Journal:  Ann Noninvasive Electrocardiol       Date:  2019-07-30       Impact factor: 1.468

2.  The role of baseline and post-procedural frontal plane QRS-T angles for cardiac risk assessment in patients with acute STEMI.

Authors:  Tugce Colluoglu; Zulkif Tanriverdi; Baris Unal; Emin Evren Ozcan; Huseyin Dursun; Dayimi Kaya
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-06-06       Impact factor: 1.468

3.  Global ECG Measures and Cardiac Structure and Function: The ARIC Study (Atherosclerosis Risk in Communities).

Authors:  Tor Biering-Sørensen; Muammar Kabir; Jonathan W Waks; Jason Thomas; Wendy S Post; Elsayed Z Soliman; Alfred E Buxton; Amil M Shah; Scott D Solomon; Larisa G Tereshchenko
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-03

4.  Global Electric Heterogeneity Risk Score for Prediction of Sudden Cardiac Death in the General Population: The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health (CHS) Studies.

Authors:  Jonathan W Waks; Colleen M Sitlani; Elsayed Z Soliman; Muammar Kabir; Elyar Ghafoori; Mary L Biggs; Charles A Henrikson; Nona Sotoodehnia; Tor Biering-Sørensen; Sunil K Agarwal; David S Siscovick; Wendy S Post; Scott D Solomon; Alfred E Buxton; Mark E Josephson; Larisa G Tereshchenko
Journal:  Circulation       Date:  2016-04-14       Impact factor: 29.690

5.  Beat-to-beat determinants of the beat-to-beat temporal and spatial variability of repolarization.

Authors:  Albert Feeny; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2016-01-20       Impact factor: 1.438

Review 6.  Global electrical heterogeneity: A review of the spatial ventricular gradient.

Authors:  Jonathan W Waks; Larisa G Tereshchenko
Journal:  J Electrocardiol       Date:  2016-07-28       Impact factor: 1.438

7.  Electrocardiographic predictors of mortality and sudden cardiac death in patients with end stage renal disease on hemodialysis.

Authors:  Jonathan W Waks; Larisa G Tereshchenko; Rulan S Parekh
Journal:  J Electrocardiol       Date:  2016-07-28       Impact factor: 1.438

8.  Global Electrical Heterogeneity: Mechanisms and Clinical Significance.

Authors:  Larisa G Tereshchenko
Journal:  Comput Cardiol (2010)       Date:  2019-06-24

9.  Improving sudden cardiac death risk stratification by evaluating electrocardiographic measures of global electrical heterogeneity and clinical outcomes among patients with implantable cardioverter-defibrillators: rationale and design for a retrospective, multicenter, cohort study.

Authors:  Jonathan W Waks; Christopher Hamilton; Saumya Das; Ashkan Ehdaie; Jessica Minnier; Sanjiv Narayan; Mark Niebauer; Merritt Raitt; Christine Tompkins; Niraj Varma; Sumeet Chugh; Larisa G Tereshchenko
Journal:  J Interv Card Electrophysiol       Date:  2018-03-14       Impact factor: 1.900

10.  Electrophysiologic Substrate and Risk of Mortality in Incident Hemodialysis.

Authors:  Larisa G Tereshchenko; Esther D Kim; Andrew Oehler; Lucy A Meoni; Elyar Ghafoori; Tejal Rami; Maggie Maly; Muammar Kabir; Lauren Hawkins; Gordon F Tomaselli; Joao A Lima; Bernard G Jaar; Stephen M Sozio; Michelle Estrella; W H Linda Kao; Rulan S Parekh
Journal:  J Am Soc Nephrol       Date:  2016-04-29       Impact factor: 10.121

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