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Number of results

Journal

2010 | 5 | 3 | 298-302

Article title

SAECG in exercise test for prediction of diabetic coronary artery disease

Content

Title variants

Languages of publication

EN

Abstracts

EN
Signal averaged electrocardiogram (SAECG) is considered an important noninvasive indicator identifying patients at risk for ventricular arrhythmias. The aim of this study was to improve noninvasive prediction of CAD by integrating SAECG with the result of exercise tests in diabetic patients. Diabetic patients with stable angina pectoris underwent exercise testing and SAECG. Then a diagnostic score was derived that combined results of exercise testing and SAECG. A diagnostic score (0 to 2 points) was calculated by assigning 1 point for a positive exercise test result and 1 point for a positive SAECG. One hundred and seventy patients were included in the study. In patients with a score of 0, the likelihood of CAD is 18% whereas the likelihood of CAD is 95% in patients with a score of 2. Triple vessel CAD is present in 54%, 7% and only 1.5% of patients with score 2, 1 and 0 respectively. Therefore, patients with score 2 have a poor prognosis compared with score 1 or 0. A diagnostic score combining exercise testing and SAECG can distinguish patients with CAD from those without CAD with high accuracy in diabetic patients.

Publisher

Journal

Year

Volume

5

Issue

3

Pages

298-302

Physical description

Dates

published
1 - 6 - 2010
online
9 - 4 - 2010

Contributors

author
  • Cardiology Department, Shiraz University of Medical Sciences, 71935-1334, Shiraz, Iran
author
  • Cardiology Department, Shiraz University of Medical Sciences, 71935-1334, Shiraz, Iran
  • Cardiology Department, Shiraz University of Medical Sciences, 71935-1334, Shiraz, Iran

References

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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.-psjd-doi-10_2478_s11536-009-0124-4
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