Abstract #0042

Multiparametric Characterization of Myocardial Tissue by Contrast-Enhanced Cardiac Magnetic Resonance Imaging in Subjects with Prediabetes, Diabetes and Controls from a Western General Population – Results of the KORA-MRI-Study

Corinna Christina Storz¹, Holger Hetterich², Roberto Lorbeer², Sigrid Auweter², Wolfgang Rathmann³, Christopher L Schlett⁴, Annette Peters^5,6,7, Konstantin Nikolaou⁸, Fabian Bamberg⁸, and Jeanette Schulz-Menger^9,10

¹Radiology, University Hospital Tuebingen, Tuebingen, Germany, ²Clinical Radiology, Ludwig-Maximilians-University Munich, Germany, ³Biometry and Epidemiology, German Diabetes Center Duesseldorf, Germany, ⁴Diagnostic and Interventional Radiology, University Hospital Heidelberg, Germany, ⁵Epidemiology II, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg, Germany, ⁶Cardiovascular Prevention, Ludwig-Maximilians University Munich, Munich, Germany, ⁷German Center for Cardiovascular Disease Research (DZHK e.V.) Munich, Munich, Germany, ⁸Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany, ⁹Cardiology, Charité, Experimental and Clinical Research Center and HELIOS-Clinics Berlin-Buc, Germany, ¹⁰German Center for Cardiovascular Disease Research (DZHK e. V.) Partnersite Berlin, Germany

Cardiac magnetic resonance imaging (CMR) allows for detailed characterization of the myocardium, which may be beneficial in assessing cardiomyopathy in the setting of hyperglycemic states. We performed a comprehensive CMR protocol in subjects with prediabetes, diabetes and controls and preserved left ventricular (LV) ejection fraction (EF) in a western population-based sample. Subjects with prediabetes and diabetes had an increased LV-remodeling-index as well as higher estimates of cell volume compared with controls, while extracellular volume, as a parameter of diffuse myocardial fibrosis (MF), was decreased. This may highlight the role for hypertrophy in the pathogenesis of diabetic cardiomyopathy in this western population.

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