Multivariate analysis of muscle mass loss in patients with type 2 diabetes / 中华内分泌代谢杂志

ABSTRACT

Objective:To explore the related factors of muscle mass loss in patients with type 2 diabetes mellitus, and to provide evidence for prevention of sarcopenia in type 2 diabetic patients.Methods:A cross-sectional survey was used to select type 2 diabetic patients admitted to the Department of Endocrinology, Affiliated Hospital of Qingdao University from January 2019 to August 2019. All subjects underwent dual-energy X-ray absorptiometry check. According to the diagnostic criteria of the Asian Working Group for Sarcopenia (AWGS), the subjects were divided into a muscle reduction group and a non-muscle reduction group. Data including age, gender, body mass index, course of disease, blood index, urinary albumin-creatinin ration (UACR), and appendicular skeletal muscle index (ASMI) were collected. The relevant clinical data of viscera fat/subcutaneous fat (VAT/SAT), percentage of abdominal fat/percentage of hip fat (A/G), grip strength, and pace were analyzed for the related factors of muscle mass loss in type 2 diabetic patients.Results:A total of 369 patients with type 2 diabetes were enrolled, including 42 patients with sarcopenia (an incidence rate of 11.38%), and 155 patients with reduced muscle mass (an incidence of 42.01%). Age, systolic blood pressure, high density lipoprotein-cholesterol, UACR, VAT/SAT, and A/G in the muscle reduction group were higher than those in the non-muscle reduction group ( P<0.05). The parameter of body mass index, homeostasis model assessment for insulin resistance, estimated glomerular filtration rate (eGFR), ASMI, and grip strength were lower in the muscle reduction group than in the non-muscle reduction group ( P<0.05). Multivariate logistic regression analysis showed age, UACR, A/G, and VAT/SAT were risk factors for muscle loss, body mass index, eGFR, and grip strength were protective factors for muscle mass reduction. Conclusion:It is of great practical significance for type 2 diabetic patients, especially those with advanced age, central obesity, low body mass index, low grip strength, low glomerular filtration rate, and high UACR to perform an early screening and to begin an early intervention.