Peri renal fat tied to metabolic syndrome in newly diagnosed type 2 diabetes patients: Study
China: A recent study revealed that in patients with newly diagnosed type 2 diabetes, greater perineal fat mass is linked to a high rate of metabolic syndrome (MetS). The researchers add that this is the first study to confirm this relationship in patients with type 2 diabetes. Perirenal fat is the fat mass that is present in the retroperitoneal space that surrounds the kidney. The thickness...
China: A recent study revealed that in patients with newly diagnosed type 2 diabetes, greater perineal fat mass is linked to a high rate of metabolic syndrome (MetS). The researchers add that this is the first study to confirm this relationship in patients with type 2 diabetes. Perirenal fat is the fat mass that is present in the retroperitoneal space that surrounds the kidney. The thickness of this fat can be quantified through radiological scans, such as CT (used in the study).
The study, published as a preprint under consideration was posted in Research Square, showed that perirenal fat thickness (PrFT) is significantly associated with MetS and is a powerful predictive value for MetS. This suggests that PrFT could be utilized as a potential indicator to screen high-risk groups in patients with newly-diagnosed type 2 diabetes (T2D).
Increasing evidence has shown PrFT to be associated with metabolic risk factors. Xiu Li Guo, Longyan First Hospital, Longyan, China, and the team aimed to assess the association between PrFT with components of metabolic syndrome and to explore the value of PrFT in predicting MetS among newly-diagnosed type 2 diabetes(T2DM).
The study enrolled a total of 445 patients with newly-diagnosed T2DM from Southern China. Information on demographics and anthropometrics were collected. CT scanning was used to evaluate PrFT. To assess the value and optimal cutoff of PrFT for predicting MetS divided by sex, binomial logistic regression analysis, and receiver operating characteristics (ROC) curves were conducted.
The study revealed the following findings:
- 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 were 1.33 in men and 1.53 in women.
- 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 in men and 0.910 in women.
- 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.
"PrFT was significantly independent with MetS and showed a powerful predictive value for MetS," wrote the authors. " This suggests that PrFT could be a potential indicator to help clinicians to screen high-risk groups in newly-diagnosed T2DM."
Reference:
Predicting Value of Perirenal Fat Thickness for Metabolic Syndrome in Patients with Newly-Diagnosed Type 2 Diabetes
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