Abstract
ObjectiveTo investigate the association between computed tomography (CT)-measured quality characteristics of skeletal muscle (SM) and early diagnosis of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM). MethodsThis retrospective study included patients diagnosed with T2DM, with and without early DKD, between January 2019 and December 2021. To reduce potential bias, propensity score matching (PSM) was performed. The area and CT attenuation values for SM and different abdominal adipose depots were measured. After PSM, logistic and multiple linear regression analyse were performed to analyse risk factors for early DKD. ResultsA total of 267 patients were enrolled (mean age, 61.67 years ±10.87; 155 men) and divided into two groups: T2DM with early DKD (n=133); and T2DM without DKD (n=134). After PSM, 230 patients were matched (T2DM with early DKD [n=115]; and T2DM without DKD [n=115]), with no statistical differences in general characteristics between the two groups (P>0.05). In multivariate logistic regression analysis, high-density lipoprotein cholesterol (odds ratio [OR] 0.14; 95% confidence interval [CI] 0.04–0.49; P=0.002), uric acid (OR 1.01; 95% CI 1.00–1.01; P=0.006), and SM attenuation value (OR 0.94; 95% CI 0.90–0.98; P=0.003) were independent risk factors for early DKD. Multiple linear regression analysis revealed significant correlations between SM attenuation value and cystatin C (β=-0.39, P=0.004), urine albumin-to-creatinine ratio (β=-0.26, P=0.026), and estimated glomerular filtration rate (β=0.31 P=0.009) after adjustment for confounders. ConclusionT2DM patients with lower SM attenuation values may exhibit a higher risk for early DKD than those with higher values, which provides a potential imaging biomarker for early DKD diagnosis.
Published Version
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