Document Type : Original Article
Authors
- Shirin Sarejloo 1
- Fatemeh Dehghani 1
- Mohammad Reza Hatamnejad 2
- Soodeh Jahangiri 2
- Tahereh Ghaedian 1
- Maryam Salimi 3
- Hamed Bazrafshan 1
1 Al-Zahra Charity Hospital, Department of Cardiology Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
2 Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
3 Shiraz university of medical sciences
Abstract
Background: Autonomic nervous system dysfunction in diabetic patients may lead to the atypical presentation of cardiovascular disease which can be missed. We aimed to assess cardiovascular disease (CAD) in diabetic patients with atypical pain using single-photon emission computed tomography (SPECT) to find out whether the aforementioned pain really reflects the CAD.
Methods: Diabetic patients with atypical cardiac symptoms were referred to the scan department for SPECT. Demographic information regarding age, sex, diabetes status, and other underlying diseases were collected. Then, to evaluate the risk of myocardial ischemia and the degree of coronary artery involvement in a non-invasive manner, a myocardial perfusion scan was performed and the results were recorded.
Results: A total of 222 subjects were included in our study. Atypical chest pain in 51.8% and shortness of breath in 50.5% were the most common symptoms and nausea and syncope each with 0.9% were the rarest. Cardiac parameters, summed stress score (SSS), summed rest score (SRS), total perfusion deficit in stress (TPD-s), total perfusion deficit in rest (TPD-r) were significantly higher in the group with coronary artery involvement (<0.001), but Ejection fraction (EF), end-diastolic volume (EDV), and end-systolic volumes (ESV) parameters were not significantly different between the two groups (P.value: .0.328, 0.351, and 0.443 respectively).
Conclusion: The mere occurrence of diabetes does not require further diagnostic tests than the general population, and it is possible to go through a diagnostic course similar to the general population.
Keywords