Title :
Quantitative ECG analysis for individual risk assessment of future myocardial infarct-results from the MARISK study
Author :
Michaelis, J. ; Lippold, R. ; Nafe, B. ; Scheidt, E.
Author_Institution :
Inst. fur Medizinische Statistik und Dokumentation, Johannes Gutenberg-Univ., Mainz, Germany
Abstract :
From 1980 to 1990 the authors performed an epidemiological cohort study in order to explore the predictive power of computer electrocardiogram (ECG) measurements for individual risk assessment of future myocardial infarct in combination with commonly known risk factors. Out of 7542 participants, 83 experienced a myocardial infarct during the course of the study. Multivariate logistic regression analysis revealed that vector cardiogram (VCG) measurements provide significant additional information to risk estimation which is equivalent to that of other risk factors. Measurement changes are stronger risk indicators than single measurements. The results confirm previous findings from H.V. Pipberger et al. (1986)
Keywords :
computerised signal processing; electrocardiography; medical diagnostic computing; waveform analysis; MARISK study; computer electrocardiogram measurements; epidemiological cohort study; future myocardial infarct; individual risk assessment; measurement changes; multivariate logistic regression analysis; predictive power; quantitative ECG analysis; risk indicators; vector cardiogram measurements; Availability; Cardiac disease; Electrocardiography; Information analysis; Logistics; Myocardium; Performance analysis; Regression analysis; Risk analysis; Risk management;
Conference_Titel :
Computers in Cardiology 1991, Proceedings.
Conference_Location :
Venice
Print_ISBN :
0-8186-2485-X
DOI :
10.1109/CIC.1991.169002