Relationship between eosinophils counts and muscle mass decline in older people with type 2 diabetes: A prospective study of the KAMOGAWA-DM cohort.

Sarcopenia has become an important issue in older individuals with type 2 diabetes. However, no previous studies investigated the relationship between eosinophil count and muscle mass decline. In this prospective cohort study, we aimed to investigate this relationship in older people with type 2 diabetes. Impedance body composition was used to assess body composition and skeletal muscle mass index (SMI, kg/m2) was calculated as appendicular muscle mass (kg)/height squared (m2). The decrease in SMI (kg/m2 per year) was calculated as (baseline SMI [kg/m2] - follow-up SMI [kg/m2]) divided by the follow-up period (years). The rate of SMI decrease (%) was calculated as follows: (decrease in SMI [kg/m2 per year] ÷ baseline SMI [kg/m2]) × 100; muscle mass decline was defined as the rate of SMI decrease of ≥0.5%. Complete blood counts, including eosinophil counts, were also measured. Among 141 participants, 54.6% experienced muscle mass decline during mean (standard deviation)19.4 (7.3) months of follow-up. The eosinophil counts of participants with muscle mass decline were higher than those of participants without muscle mass decline (216.5 [147.8] vs. 158.6 [113.1] cells/mm3, p = 0.004). Eosinophil counts were negatively associated with the rate of SMI decrease according to Spearman's rank correlation coefficient (r = 0.182, p = 0.031). According to logistic regression analyses, there was the relationship between eosinophil counts and incident muscle mass decline after adjusting for covariates (odds ratio of Δ 1 incremental of logarithm (eosinophil counts) 2.04 (95% confidence interval 1.15-3.61, p = 0.011). This study showed that eosinophil counts are associated with incident muscle mass decline. If an individual with type 2 diabetes has high eosinophil counts in blood tests, then it is necessary to pay more attention to the possibility of progression of muscle atrophy.

Short energy intake is associated with muscle mass loss in older patients with type 2 diabetes: A prospective study of the KAMOGAWA-DM cohort.

BACKGROUND & AIM: Past studies reported that the intake of adequate energy is more important than protein intake; however, the relationship between energy intake and muscle mass loss remains unclear thus far. This study therefore explored the association between energy intake and muscle mass loss in people with type 2 diabetes (T2D). METHODS: In this prospective cohort study, impedance body composition and a brief-type self-administered diet history questionnaire were used for analyzing body composition and habitual diet intake, respectively. Skeletal muscle mass index (SMI, kg/m2) was defined as appendicular muscle mass (kg) ÷ height-squared (m2). Rate of SMI change (%) was calculated as ([SMI at baseline - SMI at follow-up]/[follow-up duration (years) × baseline SMI (kg/m2)]) × 100, and muscle mass loss was defined as rate of SMI change ≥0.5%. Energy intake was defined as total energy intake (kcal/day) divided by ideal body weight (kg), defined as 22 × patient height-squared (m2). RESULTS: Among non-older and older participants, 54.8% (n = 51/93) and 58.9% (n = 116/197) experienced muscle mass loss at 16.3 (6.4) and 18.1 (7.1) months' follow-up, respectively. Logistic regression analyses showed that energy intake was associated with incident muscle mass loss after adjusting for age, sex, insulin, sodium glucose cotransporter-2 inhibitor, glucagon-like peptide-1 agonist, steroids, smoking, exercise, alcohol intake, body mass index, SMI, presence of renal failure, and protein intake (g/actual body weight/day) in the older people (odds ratio [OR] 0.94 [95% confidence interval [CI] 0.88-0.996], p = 0.037), whereas energy intake was not associated with incident muscle mass loss in the non-older people (OR 0.96 [95% CI 0.86-1.06], p = 0.423). CONCLUSIONS: Insufficient energy intake is associated with muscle mass loss in older people with T2D. Therefore, it is recommended to consume enough energy for older people with T2D to keep muscle mass.

Impact of extracellular-to-intracellular fluid volume ratio on albuminuria in patients with type 2 diabetes: A cross-sectional and longitudinal cohort study.

AIMS/INTRODUCTION: Body fluid volume imbalance is common in patients with kidney failure, and is associated with all-cause mortality. This study aimed to investigate the association between fluid volume imbalance and albuminuria in patients with type 2 diabetes mellitus without kidney failure. MATERIALS AND METHODS: Using data from one cohort study, a baseline cross-sectional study of 432 participants and a longitudinal cohort study of 368 participants who could follow up was carried out. Body fluid imbalance was determined by measuring the extracellular water (ECW)-to-intracellular water (ICW) ratio (ECW/ICW) using bioelectrical impedance analysis. A change in the urinary albumin-to-creatinine ratio (ACR) was defined as the ratio of urinary ACR at follow up to that at baseline. The ECW/ICW ratio was compared with the level of albuminuria. RESULTS: In this cross-sectional study, the ECW/ICW ratio increased with the level of albuminuria. There was an association between the ECW/ICW ratio and logarithms of urinary ACR after adjusting for covariates (ß = 0.205, P < 0.001). Furthermore, the ECW/ICW ratio was associated with a change in the urinary ACR after adjusting for covariates (ß = 0.176, P = 0.004) in this longitudinal study. According to the receiver operating characteristic curve, the optimal cut-off point of the ECW/ICW ratio for incident macroalbuminuria, defined as ACR >300 mg/gCr, was 0.648 (area under the curve 0.78, 95% confidence interval 0.58-0.90). CONCLUSIONS: The ECW/ICW ratio is independently associated with the level of albuminuria in patients with type 2 diabetes mellitus without kidney failure. This reinforces the importance of monitoring fluid balance in patients with type 2 diabetes mellitus.