Key result
The highest tertile of pericardial adipose tissue was associated with a 1.56 times higher rate of incident diabetes compared to the lowest tertile over 15 years of follow-up.
Why the study?
It was unclear whether pericardial adipose tissue is predictive of prediabetes and type 2 diabetes over time.
Does pericardial adipose tissue volume predict incident prediabetes and type 2 diabetes in adults without baseline prediabetes/diabetes?
Cohort (n=2,570)
Yes
Does pericardial adipose tissue volume predict incident prediabetes and type 2 diabetes in adults without baseline prediabetes/diabetes?
Pericardial adipose tissue volume is associated with incident diabetes over 15 years, but its predictive value does not significantly exceed standard anthropometric measures like BMI or waist circumference.
Does not improve diabetes prediction beyond BMI; leaves open pericardial fat as a biomarker.
OBJECTIVES: We examined whether pericardial adipose tissue (PAT) is predictive of prediabetes and type 2 diabetes over time. METHODS: In total, 2,570 adults without prediabetes/diabetes from the Coronary Artery Risk Development in Young Adults Study were followed up over 15 years. PAT volume was measured by computed tomography scans, and the new onset of prediabetes/diabetes was examined 5 years, 10 years, and 15 years after the PAT measurements. Multivariable Cox regression models were used to examine the association between the tertile of PAT and incident prediabetes/diabetes up to 15 years later. The predictive ability of PAT (vs. waist circumference [WC], body mass index [BMI], waist-to-height ratio [WHtR]) for prediabetes/diabetes was examined by comparing the area under the receiver operating characteristic curve (AUC). RESULTS: The highest tertile of PAT was associated with a 1.56 times (95% confidence interval [CI], 1.03 to 2.34) higher rate of diabetes than the lowest tertile; however, no association was found between the highest tertile of PAT and prediabetes in the fully adjusted models, including additional adjustment for BMI or WC. In the fully adjusted models, the AUCs of WC, BMI, WHtR, and PAT for predicting diabetes were not significantly different, whereas the AUC of WC for predicting prediabetes was higher than that of PAT. CONCLUSIONS: PAT may be a significant predictor of hyperglycemia, but this association might depend on the effect of BMI or WC. Additional work is warranted to examine whether novel adiposity indicators can suggest advanced and optimal information to supplement the established diagnosis for prediabetes/diabetes.
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Oh et al. (2022) conducted a cohort in Incident diabetes and prediabetes (n=2,570). Pericardial adipose tissue (PAT) vs. Lowest tertile of PAT was evaluated on Incident diabetes (HR 1.56, 95% CI 1.03, 2.34). The highest tertile of pericardial adipose tissue was associated with a 1.56 times higher rate of incident diabetes compared to the lowest tertile over 15 years of follow-up.
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