Myocardial perfusion single photon emission computed tomography in asymptomatic diabetics

K Harshad1, I Sathyamurthy, G Ashish

  • 1Department of Nuclear Medicine/Department of Cardiology, Apollo Hospitals, Chennai, Tamil Nadu, India. ismurthy@hotmail.com

Indian Heart Journal
|December 25, 2010
PubMed

Insights

Coronary artery disease (CAD) screening is vital for asymptomatic diabetic patients. Myocardial Perfusion SPECT (MPS) effectively identifies ischemia, aiding risk stratification and long-term follow-up in diabetes mellitus (DM).

Area of Science:

  • Cardiology
  • Nuclear Medicine
  • Diabetology

Background:

  • Coronary artery disease (CAD) is a leading cause of mortality in diabetic patients.
  • Diabetes mellitus (DM)-induced autonomic neuropathy can lead to asymptomatic CAD.
  • Screening for CAD in diabetic individuals is crucial due to the high mortality risk.

Purpose of the Study:

  • To determine the prevalence of asymptomatic CAD in diabetic patients using Myocardial Perfusion SPECT (MPS).
  • To evaluate the efficacy of MPS as a screening tool for identifying ischemia in asymptomatic diabetics.

Main Methods:

  • Prospective study of 88 asymptomatic Type 2 DM patients (age 40-65, duration >5 years).
  • Assessment of risk factors including hypertension, dyslipidemia, smoking, family history, and BMI.
  • All patients underwent a two-day MPS protocol; 38 also had Coronary Angiography (CAG) for significant stenosis (>50%).

Main Results:

  • Abnormal myocardial perfusion detected in 43% of diabetics versus 11% of controls.
  • MPS identified 81 perfusion defects (19 fixed, 62 reversible).
  • CAG revealed significant coronary stenosis in 68.4% of evaluated patients; MPS demonstrated 86.6% sensitivity and 51% specificity compared to CAG.

Conclusions:

  • Myocardial Perfusion SPECT (MPS) is a sensitive diagnostic tool for detecting ischemia in asymptomatic diabetic patients.
  • MPS serves as an effective screening test for risk stratification in diabetes mellitus.
  • MPS holds prognostic value for predicting CAD outcomes and is useful for long-term patient follow-up.
Abstract

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