- Oral presentation
- Open Access
Stress myocardial perfusion imaging by cardiac magnetic resonance provides strong prognostic value to cardiac events in patients with diabetes
© Coelho-Filho et al; licensee BioMed Central Ltd. 2011
- Published: 2 February 2011
- Myocardial Ischemia
- Cardiac Magnetic Resonance
- Myocardial Perfusion Imaging
- Late Gadolinium Enhancement
- Major Adverse Cardiac Event
In patients with diabetes mellitus, coronary artery disease (CAD) is a major cause of mortality and results in substantial morbidity. Non-invasive detection of CAD in diabetic patients is challenged by silent ischemia and microvascular disease. Pharmacological stress CMR perfusion imaging (CMRPI) may identify evidence of flow limiting CAD at high resolution and tissue contrast. We therefore sought to test the hypothesis that stress CMRPI can provide robust prognostication to identify diabetic patients at high risk for major adverse cardiac events (MACE).
Stress CMRPI was performed on 138 consecutive patients with diabetes (54 females, mean age 61±12.3 years) referred for assessment of ischemia. Rest and vasodilator stress CMRPI were performed each using a bolus of 0.1mmol/Kg of gadolinium, followed by late gadolinium enhancement (LGE) and cine imaging. Myocardial ischemia was defined by the presence of a stress induced perfusion defect, reversible at rest, in the absence of LGE in the same territory. At a median follow up of 21 months (IQR 30 months), 21 MACE (15%) had occurred (14 cardiac deaths and 7 AMIs).
Stress CMRPI provides robust prognostication for major cardiac events in patients with diabetes. While a CMR study negative in both myocardial ischemia and LGE indentifies diabetic patients with lower event rates for MACE, the presence of myocardial ischemia by CMRPI indentifies a subgroup of diabetic patients at high risk for cardiac events.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.