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Imaging to Stratify Coronary Artery Disease Risk in Asymptomatic Patients with Diabetes
Maan Malahfji1, John J Mahmarian1
1HOUSTON METHODIST HOSPITAL, HOUSTON, TEXAS.
Insights
Diabetic patients with coronary artery disease (CAD) risk vary. Cardiac imaging can identify asymptomatic individuals without atherosclerosis, guiding personalized therapy for better outcomes.
Area of Science:
- Cardiology
- Diabetology
- Medical Imaging
Background:
- Coronary artery disease (CAD) is a major cause of death in diabetes mellitus.
- Diabetic patients often have higher CAD prevalence, more ischemia, and silent heart attacks.
- However, not all diabetic individuals face high cardiac event risk.
Purpose of the Study:
- To review cardiac imaging's role in risk stratification for asymptomatic diabetic patients.
- To discuss optimizing therapy based on subclinical coronary atherosclerosis detection.
Main Methods:
- Review of recent large cohort studies.
- Discussion of various cardiac imaging techniques.
- Analysis of risk stratification and therapeutic decision-making.
Main Results:
- Over 30% of asymptomatic diabetics lack coronary atherosclerosis.
- These individuals exhibit a very low annual cardiac event rate.
- A paradigm shift is occurring towards imaging for risk assessment.
Conclusions:
- Cardiac imaging can identify low-risk diabetic patients.
- Personalized risk stratification improves therapeutic decisions.
- Tailoring treatment based on imaging findings is crucial for asymptomatic diabetics.
Abstract:
Coronary artery disease (CAD) is the leading cause of morbidity and mortality in patients with diabetes mellitus. Patients with diabetes have a higher prevalence of CAD and a larger magnitude of ischemia, and they are more likely to have silent myocardial ischemia and myocardial infarction. However, recent large cohort studies demonstrate that diabetic patients are not a homogenous group with similar high risk for cardiac events. In fact, more than 30% of asymptomatic diabetic patients do not have evidence of coronary atherosclerosis and have a very low annual cardiac event rate. Accordingly, there has been a recent paradigm shift as to whether the detection of subclinical coronary atherosclerosis through imaging can best guide therapeutic decision making. This review discusses the role of various cardiac imaging techniques for stratifying cardiovascular risk and optimizing therapy in asymptomatic diabetic patients.
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Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...