Tatsuya Fukuda, Ryotaro Bouchi, Takato Takeuchi, Yujiro Nakano, Masanori Murakami, Isao Minami, Hajime Izumiyama, Koshi Hashimoto, Takanobu Yoshimoto, Yoshihiro Ogawa
AIMS/INTRODUCTION: To 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 METHODS: A total of 682 patients with type 2 diabetes (mean age 64 ± 13 years; 41% women) were enrolled. VFA (cm ) and SFA (cm ) 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.
RESULTS: Over 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).
CONCLUSIONS: The V/S ratio measured by dual bioelectrical impedance analyzer is an independent predictor of CVD in patients with type 2 diabetes.
Lancet. 2004 Jan 10;363(9403):157-63
[PMID:
14726171]
J Diabetes Investig. 2018 Mar;9(2):396-402
[PMID:
28686352]
Hypertension. 2005 Jan;45(1):9-14
[PMID:
15583075]
Diabetologia. 2012 Oct;55(10):2622-2630
[PMID:
22898763]
Obes Res. 2001 Jul;9(7):381-7
[PMID:
11445659]
Am J Epidemiol. 2004 May 1;159(9):882-90
[PMID:
15105181]
Obesity (Silver Spring). 2013 Sep;21(9):E350-3
[PMID:
23703886]
Int J Obes (Lond). 2010 May;34(5):791-9
[PMID:
20125098]
Diabetes Care. 2009 Jun;32(6):1068-75
[PMID:
19244087]
Heart. 2010 Jan;96(2):131-5
[PMID:
19651624]
Endocrinol Metab Clin North Am. 2003 Dec;32(4):855-67
[PMID:
14711065]
Int J Cardiol. 2015 Jan 20;179:112-3
[PMID:
25464426]
Nature. 2006 Dec 14;444(7121):875-80
[PMID:
17167476]
Circulation. 2007 Feb 20;115(7):928-35
[PMID:
17309939]
Endocr J. 2014;61(8):807-19
[PMID:
24931739]
Stat Med. 2008 Jan 30;27(2):157-72; discussion 207-12
[PMID:
17569110]
Hypertens Res. 2007 Mar;30(3):229-36
[PMID:
17510504]
Int J Cardiol. 2009 Jun 26;135(2):150-5
[PMID:
18593641]
Ann Intern Med. 2015 Dec 1;163(11):827-35
[PMID:
26551006]
J Diabetes Investig. 2010 Oct 19;1(5):212-28
[PMID:
24843435]
Diabetologia. 2005 Feb;48(2):301-8
[PMID:
15660262]
Circulation. 2003 Oct 7;108(14):1718-23
[PMID:
12975250]
BMJ Open Diabetes Res Care. 2015 Mar 10;3(1):e000081
[PMID:
25806115]
Cardiovasc Diabetol. 2015 Oct 07;14:136
[PMID:
26445876]
Br J Nutr. 2000 Dec;84 Suppl 2:S173-6
[PMID:
11242464]
Int J Obes (Lond). 2012 Feb;36(2):286-94
[PMID:
21587201]
Am J Kidney Dis. 2009 Jun;53(6):982-92
[PMID:
19339088]
Acta Diabetol. 2003 Oct;40 Suppl 1:S302-4
[PMID:
14618500]
Diabetes Care. 2011 Feb;34(2):504-6
[PMID:
21228245]
J Epidemiol Community Health. 2000 Aug;54(8):596-602
[PMID:
10890871]
Aged
Body Mass Index
Cardiovascular Diseases
Diabetes Mellitus, Type 2
Female
Humans
Intra-Abdominal Fat
Male
Middle Aged
Risk Factors
Sensitivity and Specificity
Subcutaneous Fat