Medical Technology

Kidney Fat Thickness Predicts Metabolic Syndrome in Diabetes

This is a summary from an article that was published as a preprint by researchers from Longyan First Affiliated hospital of Fujian Medical University, Fuzhou, China. It was provided by Medscape. This study hasn’t yet been peer reviewed. has the complete text of the study.

The most important takeaways

  • Perirenal fat refers the fat mass located in the retroperitoneal area surrounding the kidney. Radiological scans, such as CT used in this study, can measure the thickness of the fat.

  • A rise in the incidence of metabolic disorder was linked to an increase in the thickness of the perirenal fat layer in patients who were recently diagnosed with type 2 diabetes..

  • This report is in preprint format and has not yet been peer reviewed.

Why This Matters

  • The current process of diagnosing metabolic syndrome in patients suffering from diabetes is difficult, which limits the early detection of metabolic syndrome, which can cause missed diagnoses. A reliable predictor of metabolic syndrome could enable doctors to concentrate their screening on those at risk.

  • The results of the study revealed that perirenal fat thickness may be a reliable indicator of metabolic syndrome in patients who have been diagnosed with type 2 diabetes.

  • The authors claim this is the first study that confirms this relationship in patients with type 2 diabetes.

Study Design

  • The study involved 445 patients who had been recently diagnosed in China with type 2 diabetes.

  • If a patient has any three of these five criteria, they are diagnosed with metabolic syndrome which includes hyperglycemia abdominal obesity and hyperglycemia , hypertension and elevated fasting cholesterol (HDL).

Key Results

  • Patients were averagely 53 years old. Their average perirenal fat thickness measured 12.8mm. The overall prevalence of metabolic disorder was 58%..

  • The C-statistic area of the curve for the thickness of perirenal fatty to predict metabolic syndrome was 0.895 for men and 0.910 for women. This suggests that around 90 percent of the prevalence of metabolic syndrome is due to perirenal fatty thickness regardless of gender.

  • The optimal dichotomous threshold to the risk of developing metabolic syndrome was calculated by the authors with an perirenal fat thickness of 14.6 and 13.1mm for both genders.

  • Men with metabolic syndrome can be identified by having a minimum 14.6mm perrenal fat thickness. This has an sensitivity of 83.8%, and a specificity 89.6 percent.

  • Women with metabolic syndrome were diagnosed by a minimum 13.1mm the thickness of the perirenal fat. This predicts the sensitivities of 87.6 percent and a specificity of 91.1 percent.



Predicting the Benefits of Perirenal Fat Thickness in Metabolic Syndrome in Patients with Newly Diagnosed Type 2 Diabetes

Mitchel L. Zoler is reporter for Medscape and MDedge is based out of Philadelphia. @mitchelzoler

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