Literature DB >> 3760357

Exercise electrocardiographic variables: a critical appraisal.

R Detrano, E Salcedo, M Passalacqua, R Friis.   

Abstract

To compare four recently proposed methods of analyzing the exercise electrocardiogram with the conventional analysis of ST segment depression, 303 consecutive patients without myocardial infarction who had been referred for coronary arteriography underwent stress electrocardiography and stress thallium imaging. The specificity for the prediction of a greater than 50% coronary obstruction of 0.5, 1.0, 1.5 and 2.0 mm ST segment depression measured in the conventional way was 0.59, 0.73, 0.88 and 0.94, respectively. The specificity of a thallium perfusion defect was 0.79. Sensitivities of the conventional ST depressions, thallium defect, the change in the sum of the R amplitudes and the slope adjusted for heart rate increase were calculated and compared at the cited levels of specificity. R wave changes had a significantly lower sensitivity than did the conventionally analyzed ST depression at each level of specificity. Slope-adjusted ST depression had a slightly higher sensitivity than that of conventional ST depression only at a specificity of 0.73 (0.68 versus 0.65, p = 0.07). R wave-adjusted ST depression was significantly more sensitive than conventional ST depression only at a specificity of 0.94 (0.45 versus 0.36, p = 0.01). Heart rate-adjusted ST depression was more sensitive than conventional ST depression at all of the specificities except 0.59. This pattern of superior accuracy of heart rate-adjusted ST depressions was preserved for the prediction of multivessel coronary disease. Heart rate adjustment is a simpler and more accurate modification of the conventional electrocardiographic analysis than are the other three methods studied.

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Year:  1986        PMID: 3760357     DOI: 10.1016/s0735-1097(86)80425-9

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  9 in total

1.  Rethinking the exercise electrocardiogram.

Authors:  Paul Kligfield
Journal:  Ann Noninvasive Electrocardiol       Date:  2006-04       Impact factor: 1.468

2.  A comparison of methods of analysing exercise tests for diagnosis of coronary artery disease.

Authors:  J W Deckers; B J Rensing; J G Tijssen; R V Vinke; A J Azar; M L Simoons
Journal:  Br Heart J       Date:  1989-12

3.  Compartmental multivariate analysis of exercise ECGs for accurate detection of myocardial ischaemia.

Authors:  H Sievänen; L Karhumäki; I Vuori; J Malmivuo
Journal:  Med Biol Eng Comput       Date:  1994-07       Impact factor: 2.602

Review 4.  Computer applications in the interpretation of the exercise electrocardiogram.

Authors:  E A Ashley; V F Froelicher
Journal:  Sports Med       Date:  2000-10       Impact factor: 11.136

5.  Changes in the electrocardiographic response to exercise in healthy women.

Authors:  J W Deckers; R V Vinke; J R Vos; M L Simoons
Journal:  Br Heart J       Date:  1990-12

6.  Significance of lead strength during exercise testing.

Authors:  George Polizos; Myrvin H Ellestad
Journal:  Ann Noninvasive Electrocardiol       Date:  2007-01       Impact factor: 1.468

7.  The diagnostic value of exercise echocardiography in ischemic heart disease in relation to quantitative coronary arteriography.

Authors:  D Atar; S Ali; F Steensgaard-Hansen; K Saunamäki; P S Ramanujam; H Egeblad; S Haunsø
Journal:  Int J Card Imaging       Date:  1995-03

8.  Coronary artery disease diagnosis based on exercise electrocardiogram indexes from repolarisation, depolarisation and heart rate variability.

Authors:  R Bailón; J Mateo; S Olmos; P Serrano; J García; A del Río; I J Ferreira; P Laguna
Journal:  Med Biol Eng Comput       Date:  2003-09       Impact factor: 3.079

9.  ST/HR variables in firefighter exercise ECG - relation to ischemic heart disease.

Authors:  Anna Carlén; Eva Nylander; Meriam Åström Aneq; Mikael Gustafsson
Journal:  Physiol Rep       Date:  2019-01
  9 in total

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