Abstract
A study was conducted to evaluate the validity and usefulness of a commercially available microprocessor for automated exercise ECG analysis and to develop a nomogram for estimating the severity of coronary artery disease. Results of visual analysis, automated analysis, and coronary arteriography were correlated for the 107 patients studied. Automated analysis was shown to be valid and useful. The ST integrals (area of ST depression) recorded after exercise were superior to those recorded during exercise because they manifested higher specificity and predictive value, even though their sensitivity was slightly lower. Using postexercise integrals, it was possible to differentiate mild and severe disease. From multipleregression analysis of ST integrals, duration of exercise, and the severity of coronary artery disease, a nomogram was derived to estimate severity of coronary artery disease.
| Original language | English |
|---|---|
| Pages (from-to) | 1052-1055 |
| Number of pages | 4 |
| Journal | JAMA - Journal of the American Medical Association |
| Volume | 243 |
| Issue number | 10 |
| DOIs | |
| State | Published - Mar 14 1980 |
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All Science Journal Classification (ASJC) codes
- Medicine(all)
Cite this
Automated and Nomographic Analysis of Exercise Tests. / Sketch, Michael H.; Mohiuddin, Syed M.; Nair, Chandra K.; Mooss, Aryan N.; Runco, Vincent.
In: JAMA - Journal of the American Medical Association, Vol. 243, No. 10, 14.03.1980, p. 1052-1055.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automated and Nomographic Analysis of Exercise Tests
AU - Sketch, Michael H.
AU - Mohiuddin, Syed M.
AU - Nair, Chandra K.
AU - Mooss, Aryan N.
AU - Runco, Vincent
PY - 1980/3/14
Y1 - 1980/3/14
N2 - A study was conducted to evaluate the validity and usefulness of a commercially available microprocessor for automated exercise ECG analysis and to develop a nomogram for estimating the severity of coronary artery disease. Results of visual analysis, automated analysis, and coronary arteriography were correlated for the 107 patients studied. Automated analysis was shown to be valid and useful. The ST integrals (area of ST depression) recorded after exercise were superior to those recorded during exercise because they manifested higher specificity and predictive value, even though their sensitivity was slightly lower. Using postexercise integrals, it was possible to differentiate mild and severe disease. From multipleregression analysis of ST integrals, duration of exercise, and the severity of coronary artery disease, a nomogram was derived to estimate severity of coronary artery disease.
AB - A study was conducted to evaluate the validity and usefulness of a commercially available microprocessor for automated exercise ECG analysis and to develop a nomogram for estimating the severity of coronary artery disease. Results of visual analysis, automated analysis, and coronary arteriography were correlated for the 107 patients studied. Automated analysis was shown to be valid and useful. The ST integrals (area of ST depression) recorded after exercise were superior to those recorded during exercise because they manifested higher specificity and predictive value, even though their sensitivity was slightly lower. Using postexercise integrals, it was possible to differentiate mild and severe disease. From multipleregression analysis of ST integrals, duration of exercise, and the severity of coronary artery disease, a nomogram was derived to estimate severity of coronary artery disease.
UR - http://www.scopus.com/inward/record.url?scp=84948012343&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948012343&partnerID=8YFLogxK
U2 - 10.1001/jama.1980.03300360024018
DO - 10.1001/jama.1980.03300360024018
M3 - Article
C2 - 7354563
AN - SCOPUS:84948012343
VL - 243
SP - 1052
EP - 1055
JO - JAMA - Journal of the American Medical Association
JF - JAMA - Journal of the American Medical Association
SN - 0002-9955
IS - 10
ER -