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Chinese Journal of Critical Care Medicine(Electronic Edition) ›› 2021, Vol. 14 ›› Issue (02): 133-136. doi: 10.3877/cma.j.issn.1674-6880.2021.02.007

Special Issue:

• Original Article • Previous Articles     Next Articles

Detection of skeletal muscle mass in elderly patients with type 2 diabetes

Qiuping Zhu1, Qin Zhang2, Jian Pan2, Congying Song2,()   

  1. 1. Department of Endocrinology, Haining People's Hospital (Haining Campus, the First Affiliated Hospital, Zhejiang University School of Medicine), Jiaxing 314400, China
    2. Department of Emergency, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
  • Received:2021-02-21 Online:2021-04-30 Published:2021-07-03
  • Contact: Congying Song

Abstract:

Objective

To detect and analyze skeletal muscle mass in elderly patients with type 2 diabetes.

Methods

Clinical data of the elderly aged ≥ 65 years with type 2 diabetes in the First Affiliated Hospital, Zhejiang University School of Medicine and its branch hospital between May 1st, 2019 and September 1st, 2019 were retrospectively analyzed. There were 29 male patients and 56 female patients with type 2 diabetes. The healthy elderly at the same time were included in the control group. The data were matched by the 1 ∶ 1 propensity score, so 29 males and 56 females were included in the control group finally. Then the appendicular skeletal muscle mass index (ASMI) and clinical data were collected and compared between the two groups under different genders. According to hemoglobin A1c (HbA1c), the patients with type 2 diabetes were divided into the well glycemic controlled group (HbA1c < 7%) and the poorly glycemic controlled group (HbA1c ≥ 7%). Then, ASMI was compared between the two groups under different genders. The correlation between HbA1c and ASMI in patients with type 2 diabetes under different genders was investigated by Pearson correlation analysis.

Results

There were no significant differences in age, degree of education, smoking and drinking habits between the diabetes group and the control group under different genders (all P > 0.05). The ASMI was lower in the male diabetes group than in the male control group [(8.1 ± 1.0) kg/m2 vs. (9.0 ± 0.9) kg/m2, t = 3.556, P < 0.001]. The ASMI was also lower in the female diabetes group comparing with the female control group [(6.5 ± 1.0) kg/m2 vs. (7.6 ± 0.9) kg/m2, t = 6.210, P < 0.001]. But either in male [(8.0 ± 0.8) kg/m2 vs. (8.1 ± 1.1) kg/m2, t = 0.154, P = 0.879] or female [(6.5 ± 1.0) kg/m2 vs. (6.6 ± 0.9) kg/m2, t = 0.593, P = 0.556] diabetic patients, there was no significant difference in ASMI between the well glycemic controlled group and the poorly glycemic controlled group. In addition, Pearson correlation analysis showed that there was no correlation between HbA1c and ASMI in male type 2 diabetes (r = -0.081, P = 0.677) and female type 2 diabetes (r = -0.079, P = 0.564).

Conclusions

ASMI is lower in patients with type 2 diabetes than in the healthy elderly. Diabetes might reduce muscle mass, while the glycemic control might not be associated with ASMI.

Key words: Diabetes mellitus, type 2, Elderly, Glycemic control, Appendicular skeletal muscle mass index

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