Association of body fat mass with left ventricular longitudinal myocardial systolic function in type 2 diabetes mellitus. Issue 2 (February 2020)

• Record Type: Journal Article
• Authors: Hatani, Yutaka; Tanaka, Hidekazu; Mochizuki, Yasuhide; Suto, Makiko; Yokota, Shun; Mukai, Jun; Takada, Hiroki; Soga, Fumitaka; Hatazawa, Keiko; Matsuzoe, Hiroki; Matsumoto, Kensuke; Hirota, Yushi; Ogawa, Wataru; Hirata, Ken-ichi
• Is Part Of: Journal of cardiology. Volume 75:Issue 2(2020)
• Page Start: 189
• Page End: 195
• Publication Date: 2020-02
• Subjects: Diabetes mellitus -- Left ventricular longitudinal function -- Left ventricular diastolic function -- Body fat; Cardiology -- Periodicals; 616.12
• DOI: 10.1016/j.jjcc.2019.07.013
• Languages: English
• ISSNs: 0914-5087

Abstract

Highlights: Bioelectrical impedance assay is an easy-to-use parameter for body fat mass. Body fat index (BFI) is more closely associated than body mass index with left ventricular longitudinal function in type 2 diabete mellitus (T2DM). BFI was the only variable independently associated with left ventricular longitudinal myocardial systolic dysfunction in T2DM. Abstract: Background: Left ventricular (LV) longitudinal myocardial systolic dysfunction (LVSD) has been identified in type 2 diabetes mellitus (T2DM) patients, and it should be considered the first marker of a preclinical form of DM-related cardiac dysfunction. Overweight has been postulated to contribute to the development of LVSD in T2DM patients, but the impact of amount of body fat mass on LVSD in T2DM patients remains uncertain. Methods: We studied 71 asymptomatic T2DM patients with preserved LV ejection fraction (LVEF) (all ≥55%) without coronary artery disease. LVSD for T2DM patients with preserved LVEF was identified as global longitudinal strain (GLS) <18%. Body fat mass was measured with a commercially available body composition analyzer (In Body S-10, Biospace, Tokyo, Japan), and corrected by body surface area (BFI: body fat index). Results: Univariate logistic regression analysis revealed that body weight, body mass index (BMI), and BFI were all associated with LVSD, whereas multivariate logistic regression analysis showed BFI was the only variable independently associated with LVSD (OR 1.147; 95% CI 1.001–1.314; p = 0.027). For sequential logistic regression models to predict LVSD, clinical variables including age, DM duration, and HbA1c tended to be improved by addition of BMI, but without statistical significance ( p = 0.09), while it was significantly improved by addition of BFI ( p = 0.047). Conclusions: Using BFI for the control of body compression by means of a bioelectrical impedance assay is simple and easy-to-use, and this may have clinical implications for better management of T2DM patients with preserved LVEF to prevent future development of DM-related cardiac dysfunction.