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SPECT in asymptomatic diabetics with and without microalbuminuria
Shashwat Verma1, I Sathyamurthy2, S Shelley1
1Department of Nuclear Medicine, Apollo Hospital, Chennai 600006.
Microalbuminuria serves as a key indicator for cardiovascular events in diabetic patients. Myocardial perfusion single photon emission computed tomography (MPS) effectively identifies coronary artery disease (CAD) in asymptomatic individuals.
Area of Science:
- Cardiology
- Diabetology
- Nuclear Medicine
Background:
- Coronary artery disease (CAD) is a significant concern in patients with type 2 diabetes mellitus.
- Asymptomatic diabetics often have underlying CAD, necessitating effective screening methods.
- Microalbuminuria is recognized as a marker for cardiovascular risk in diabetic populations.
Purpose of the Study:
- To evaluate myocardial perfusion single photon emission computed tomography (MPS) for detecting CAD in asymptomatic diabetics.
- To assess the correlation between microalbuminuria and the presence of CAD in this patient group.
- To compare MPS findings with coronary angiography.
Main Methods:
- Ninety-nine asymptomatic diabetic patients (age 30-80) with CAD risk factors were enrolled.
- Patients were categorized into microalbuminuria-positive (Micral+, n=38) and microalbuminuria-negative (Micral-, n=61) groups.
- Ischemia was assessed using MPS and findings were correlated with coronary angiographic (CAG) results.
Main Results:
- MPS identified CAD in 39 out of 99 patients.
- Of those with positive MPS, 79.5% were Micral positive.
- Micral-positive patients with positive MPS showed a high prevalence of multivessel CAD on angiography, with MPS demonstrating 91.4% sensitivity and 74.1% specificity for significant CAD detection.
Conclusions:
- Microalbuminuria is a valuable and cost-effective screening tool predicting major cardiovascular events in type 2 diabetes.
- MPS is a sensitive and non-invasive diagnostic test for identifying CAD in asymptomatic diabetic patients.
- The combination of microalbuminuria and MPS can aid in risk stratification and early diagnosis of CAD.
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