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Aims <p>To investigate the relationship between low skeletal muscle mass and specific immunoinflammatory markers in middle-aged and elderly patients with type 2 diabetes mellitus (T2DM).</p> Methods <p>978 hospitalized middle-aged and elderly patients with type 2 diabetes mellitus (T2DM), all with a confirmed diagnosis and disease duration ≥ 1 year, were enrolled in this study from the Department of Endocrinology. Patients were divided into a low and a normal skeletal muscle mass group using the appendicular skeletal muscle mass index (ASMI). Differences in clinical indicators between the two groups were compared. Six inflammatory markers, including the neutrophil-to-albumin ratio (NAR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate inflammation systemic index (AISI) were grouped by quartile levels. The prevalence of low skeletal muscle mass was compared between the quartile groups and logistic regression analyses used to explore the independent association between each marker and risk of low skeletal muscle mass.</p> Results <p>Levels of all six immunoinflammatory markers were significantly higher in the low skeletal muscle mass group (all <i>P</i> &lt; 0.05) than in the normal group. The prevalence of low skeletal muscle mass increased with increasing quartile levels of each marker. After adjusting for confounding factors (age, gender, body mass index (BMI), and blood lipid levels), all immunoinflammatory markers were independently and positively correlated with the risk of low skeletal muscle mass. NAR×10 (OR = 2.146, 95%CI 1.224 ~ 3.762, <i>P</i> = 0.008), NLR (OR = 1.207, 95%CI 1.036 ~ 1.407, <i>P</i> = 0.016), MLR×10 (OR = 1.281, 95%CI 1.068 ~ 1.537, <i>P</i> = 0.008), SII (OR = 1.001, 95%CI 1.000 ~ 1.002, <i>P</i> = 0.009), SIRI (OR = 1.824, 95%CI 1.269 ~ 2.623, <i>P</i> = 0.001), AISI (OR = 1.003, 95%CI 1.001 ~ 1.004, <i>P</i> = 0.001).</p> Conclusions <p>Monitoring the inflammatory markers indicated has clinical value for early screening and intervention of low skeletal muscle mass in this population.</p>

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The association between low skeletal muscle mass and immunoinflammatory markers in middle-aged and elderly patients with type 2 diabetes mellitus

  • 期刊论文

  • 发表日期：

    2026年4月6日

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  • Xinyuan Guo,
  • Binjing Pan,
  • Xiaoyu Lv,
  • Jingfang Liu

摘要

Aims

To investigate the relationship between low skeletal muscle mass and specific immunoinflammatory markers in middle-aged and elderly patients with type 2 diabetes mellitus (T2DM).

Methods

978 hospitalized middle-aged and elderly patients with type 2 diabetes mellitus (T2DM), all with a confirmed diagnosis and disease duration ≥ 1 year, were enrolled in this study from the Department of Endocrinology. Patients were divided into a low and a normal skeletal muscle mass group using the appendicular skeletal muscle mass index (ASMI). Differences in clinical indicators between the two groups were compared. Six inflammatory markers, including the neutrophil-to-albumin ratio (NAR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate inflammation systemic index (AISI) were grouped by quartile levels. The prevalence of low skeletal muscle mass was compared between the quartile groups and logistic regression analyses used to explore the independent association between each marker and risk of low skeletal muscle mass.

Results

Levels of all six immunoinflammatory markers were significantly higher in the low skeletal muscle mass group (all P < 0.05) than in the normal group. The prevalence of low skeletal muscle mass increased with increasing quartile levels of each marker. After adjusting for confounding factors (age, gender, body mass index (BMI), and blood lipid levels), all immunoinflammatory markers were independently and positively correlated with the risk of low skeletal muscle mass. NAR×10 (OR = 2.146, 95%CI 1.224 ~ 3.762, P = 0.008), NLR (OR = 1.207, 95%CI 1.036 ~ 1.407, P = 0.016), MLR×10 (OR = 1.281, 95%CI 1.068 ~ 1.537, P = 0.008), SII (OR = 1.001, 95%CI 1.000 ~ 1.002, P = 0.009), SIRI (OR = 1.824, 95%CI 1.269 ~ 2.623, P = 0.001), AISI (OR = 1.003, 95%CI 1.001 ~ 1.004, P = 0.001).

Conclusions

Monitoring the inflammatory markers indicated has clinical value for early screening and intervention of low skeletal muscle mass in this population.