Automated and Nomographic Analysis of Exercise Tests

Michael H. Sketch, Syed M. Mohiuddin, Chandra K. Nair, Aryan N. Mooss, Vincent Runco

Research output: Contribution to journalArticle

3 Citations (Scopus)

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 languageEnglish
Pages (from-to)1052-1055
Number of pages4
JournalJAMA - Journal of the American Medical Association
Volume243
Issue number10
DOIs
StatePublished - Mar 14 1980

Fingerprint

Exercise Test
Exercise
Coronary Artery Disease
Nomograms
Microcomputers
Angiography
Electrocardiography

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 journalArticle

Sketch, Michael H. ; Mohiuddin, Syed M. ; Nair, Chandra K. ; Mooss, Aryan N. ; Runco, Vincent. / Automated and Nomographic Analysis of Exercise Tests. In: JAMA - Journal of the American Medical Association. 1980 ; Vol. 243, No. 10. pp. 1052-1055.
@article{c14ba9d4f5fc482ab1175f0deac1012d,
title = "Automated and Nomographic Analysis of Exercise Tests",
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.",
author = "Sketch, {Michael H.} and Mohiuddin, {Syed M.} and Nair, {Chandra K.} and Mooss, {Aryan N.} and Vincent Runco",
year = "1980",
month = "3",
day = "14",
doi = "10.1001/jama.1980.03300360024018",
language = "English",
volume = "243",
pages = "1052--1055",
journal = "JAMA - Journal of the American Medical Association",
issn = "0002-9955",
publisher = "American Medical Association",
number = "10",

}

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 -