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AFRICAN RESEARCH NEXUS

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medicine

Themicrovascular effects of insulin resistance and diabetes on cardiac structure, function, and perfusion: A cardiovascular magnetic resonance study

European Heart Journal Cardiovascular Imaging, Volume 15, No. 12, Year 2014

Aims Type 2 diabetes mellitus is an independent risk factor for the development of heart failure. To better understand the mechanism by which this occurs, we investigated cardiac structure, function, and perfusion in patients with and without diabetes. Methods and results Sixty-five patients with no stenosis.30%on invasive coronary angiographywere categorized into diabetes (19) and nondiabetes (46) which was further categorized into prediabetes (30) and controls (16) according to the American Diabetes Association guidelines. Each patient underwent comprehensive cardiovascular magnetic resonance assessment. Leftventricular (LV) mass, relativewall mass (RWM), Lagrangian circumferential strain, LV torsion, and myocardial perfusion reserve (MPR) were calculated. LV mass was higher in diabetics than non-diabetics (112.8±39.7 vs. 91.5±21.3 g, P = 0.01) and in diabetics than prediabetics (112.8±39.7 vs. 90.3±18.7 g, P = 0.02). LV torsion anglewas higher in diabetics than non-diabetics (9.65±1.90 vs. 8.59±1.918, P = 0.047), and MPR was lower in diabetics than non-diabetics (2.10±0.76 vs. 2.84±1.25 mL/g/min, P = 0.01). There was significant correlation between MPR and early diastolic strain rate (r = 20.310, P = 0.01) and LV torsion (r = 20.306, P = 0.01). In multivariable linear regression analysis, non-diabetics waist-hip ratio, but not body mass index, had a significant association withRWM(Beta = 0.34, P = 0.02). Conclusion Patients with diabetes have increased LV mass, LV torsion, and decreased MPR. There is a significant association between decreased MPR and increased LV torsion suggesting a possible mechanistic link between microvascular disease and cardiac dysfunction in diabetes.
Statistics
Citations: 61
Authors: 6
Affiliations: 3
Identifiers
Research Areas
Health System And Policy
Noncommunicable Diseases
Study Approach
Quantitative