Predicting Value of Perirenal Fat Thickness for Metabolic Syndrome in Patients with Newly-Diagnosed Type 2 Diabetes

Objective Increasing evidences suggested that perirenal fat thickness (PrFT) was associated with metabolic risk factors, this study aimed to assess the association between PrFT with components of metabolic syndrome (MetS) and explore the value of PrFT in predicting MetS among Newly-Diagnosed type 2 diabetes(T2DM). Method A total of 445 patients with Newly-Diagnosed T2DM from southern China were enrolled into this study. Demographic and anthropometric information were collected. PrFT was evaluated by CT scanning on Revolution VCT 64. Binomial logistic regression analysis and receiver operating characteristics (ROC) curves were conducted to assess the value and optimal cutoff of PrFT for predicting MetS divided by sex. Results The prevalence of MetS was 58.2% in Newly-Diagnosed T2DM.Correlation analysis showed that PrFT was significantly correlated with metabolic risk factors (BMI, WC, TG, HDL-c, SBP, DBP, UA and HOMA-IR). PrFT was also shown to be independently associated with MetS after adjustment for other confounders, the ORs(95%CI) were 1.33(1.01~1.74) in men and 1.53(1.08~2.17) in women( P< 0.05). ROC curves showed a good predictive value of PrFT for MetS, the the areas under the curve of ROC values of PrFT predicting MetS were 0.895(95% CI 0.852~0.939) in men and 0.910(95% CI 0.876~0.953) in women( P< 0.001). The optimal cut-off values of PrFT were 14.6 mm (sensitivity: 83.8%, specificity: 89.6%) for men and 13.1 mm (sensitivity: 87.6%, specificity: 91.1%) for women. Conclusions PrFT was significantly independent with MetS and showed a powerful predictive value for MetS, which suggested PrFT could be a potential indicator to help clinicians to screen high-risk groups in Newly-Diagnosed T2DM. Clinical Trial Registration: This study was registered in Clinical Trials. Gov (ChiCTR2100052032).