Volume 11, Issue 33 (Dec 2001)                   J Mazandaran Univ Med Sci 2001, 11(33): 39-47 | Back to browse issues page

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Mohammaspour R, Babaee G, Mahmodi M, Memariani A, Mohseni A. Evaluation of exercise test variables in diagnosis and prediction of the severity of coronary artery disease by fuzzy discriminant analysis . J Mazandaran Univ Med Sci 2001; 11 (33) :39-47
URL: http://jmums.mazums.ac.ir/article-1-61-en.html
Abstract:   (22307 Views)
Background and purpose: Ëxercise test is one of the important methods for diagnosis and prediction of the severity of coronary artery disease (ÇÂD). For evaluation of exercise test variables, many approaches have been reported, which require further consideration. Çonsidering the nature of ÇÂD and also its diagnostic tests which are some times vague and fuzzy, employment of fuzzy discriminant analysis method is usefull. Purpose of this study is to evaluate the role of each exercise test variables and their combination in diagnosis of coronary artery disease and prediction of its severity by disciminant analysis which is compared both fuzzy and classic discriminant analysis.
Materials and methods: The group under study consisted of patients referred to angiography section of Ïmmam Khomeini hospital of sari during the second half of the year 2001 and first nine months of the year 2002 who under went exercise test and coronary angiography within less than a month. 125 eligible patients were selected randomly. The exercise test variables were registered and compared with the results of angiography by method of discriminant analysis.
Results: Ôut of 125 patients in whom the reported results of exercise test were positive, 24(19.2%) of them had a normal coronary angiography and 101 (80.8%) had more than 50% stenosis in one to three vessles. Beside the exercise test variable, two other variables, like age and sex were also considered. Regarding the age, there was no significant difference between the normal and ÇÂD groups. But ratio of normal patients and ÇÂD was different in two sexes. The most important exercise variables which were analysed by fuzzy discriminant method, and, mostly affected the classification of patients were: ST depression, ST/HR index, rHR and maximun time of exercise test.
Çonclusion: The results of this study have shown that the most accurate rate of exercise test in diagnosis and prediction of the severity of coronary artery is associated with variants of ST seqment depression, ST/HR index and rHR, which in case of using combined discriminant equlibrium, increases the diagnostic efficiency and stratification, and the other variants have less importance. These results are obtained with less accurancy for stratificationin classic conditions.
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