Document Detail


Performance characteristics of various exercise ECG classifiers in different clinical populations.
MedLine Citation:
PMID:  8120473     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To improve the diagnostic power of the exercise electrocardiographic test in detecting myocardial ischemia, the authors have recently developed a diagnostic method called multivariate ST-segment/heart rate (ST/HR) analysis (MUSTA). The goal of this study was to evaluate the validity of MUSTA in different clinical populations and to compare its performance characteristics with ST-segment depression, the ST/HR slope, and the delta ST/HR index in these populations. The computerized exercise electrocardiographic measurements were performed on 1,507 cases, and 382 patients were selected as the study population: 161 with significant coronary artery disease according to coronary angiography and 221 with a low likelihood of coronary artery disease. The diagnostic accuracy of MUSTA in the pooled population was 77.7% (297 out of 382 patients), which was clearly better than the accuracy of 69.6% (266 out of 382 patients) using the conventional ST-segment depression criterion of 0.10 mV in detecting coronary artery disease and exercise-induced myocardial ischemia. According to receiver operating characteristics analysis, MUSTA had significantly better diagnostic power than the other classifiers. These findings suggest that multivariate and compartmental analysis methods like MUSTA can further improve the clinical importance of the exercise electrocardiogram.
Authors:
R Lehtinen; H Sievänen; A Uusitalo; K Niemelä; V Turjanmaa; J Malmivuo
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of electrocardiology     Volume:  27     ISSN:  0022-0736     ISO Abbreviation:  J Electrocardiol     Publication Date:  1994 Jan 
Date Detail:
Created Date:  1994-04-07     Completed Date:  1994-04-07     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0153605     Medline TA:  J Electrocardiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  11-22     Citation Subset:  IM    
Affiliation:
Ragnar Granit Institute, Tampere University of Technology, Finland.
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MeSH Terms
Descriptor/Qualifier:
Coronary Angiography
Coronary Disease / diagnosis*,  epidemiology
Electrocardiography / methods*
Exercise Test
Female
Heart / radionuclide imaging
Humans
Male
Middle Aged
Multivariate Analysis
Predictive Value of Tests
ROC Curve
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Technetium Tc 99m Sestamibi / diagnostic use
Tomography, Emission-Computed, Single-Photon
Chemical
Reg. No./Substance:
109581-73-9/Technetium Tc 99m Sestamibi

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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