Journal
JOURNAL OF DIABETES INVESTIGATION
Volume 9, Issue 2, Pages 396-402Publisher
WILEY
DOI: 10.1111/jdi.12713
Keywords
Cardiovascular disease; Type 2 diabetes; Visceral-to-subcutaneous fat ratio
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Funding
- Ministry of Education, Culture, Sports, Science and Technology of Japan
- Ministry of Health, Labor and Welfare of Japan
- Astellas Foundation for Research on Metabolic Disorders
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Aims/IntroductionTo investigate whether the ratio of visceral fat area (VFA) to subcutaneous fat area (SFA; V/S ratio) could be predictive of cardiovascular disease (CVD) as compared with VFA or SFA in patients with diabetes. Materials and MethodsA total of 682 patients with type 2 diabetes (mean age 64 13 years; 41% women) were enrolled. VFA (cm(2)) and SFA (cm(2)) were assessed by a dual bioelectrical impedance analyzer. The patients were divided into four groups according to the quartiles of the V/S ratio. The study end-point was the first occurrence or recurrence of CVD. ResultsOver a median follow up of 2.5 years, 21 patients reached the end-point. The number of patients who reached the end-point was increased along with the increasing of the V/S ratio quartiles. The V/S ratio was significantly associated with incident or recurrent CVD (hazard ratio [HR] 1.82, 95% CI: 1.09-3.04, P = 0.021) after adjusting for estimated glomerular filtration rate (HR 0.98, 95% CI: 0.96-1.00), brain-type natriuretic peptide (HR 1.00, 95% CI: 1.00-1.01), use of antiplatelet agents (HR 4.26, 95% CI: 1.63-11.13), coefficient of variation of R-R intervals (HR 0.85, 95% CI: 0.69-1.10) and glycated hemoglobin (HR 1.37, 95% CI: 1.05-1.79). The addition of the V/S ratio to age, estimated glomerular filtration rate, brain-type natriuretic peptide, antiplatelet agents and glycated hemoglobin significantly improved classification performance for CVD using net reclassification improvement (0.60, 95% CI: 0.21-1.00) and the integrated discrimination improvement (0.02, 95% CI: 0.00-0.05). ConclusionsThe V/S ratio measured by dual bioelectrical impedance analyzer is an independent predictor of CVD in patients with type 2 diabetes.
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