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A Mathematical Model-Derived Disposition Index Without Insulin Validated in Youth with Obesity. | LitMetric

AI Article Synopsis

  • The study aimed to validate a new mathematical model for measuring insulin sensitivity and β-cell function, as traditional methods are impractical for large-scale research.
  • The researchers used data from previous studies involving 130 obese youths to compare their model-derived indices against standard clamp measurements and other indices.
  • The findings indicated that the new model (mDI-woI) was more effective at detecting insulin resistance and prediabetes than traditional methods, suggesting it could serve as a cost-effective tool for large epidemiological studies.

Article Abstract

Aims: The gold standard clamp measurements for insulin sensitivity (cSI), β-cell function (cBCF) and disposition index (cDI = cSI*cBCF), are not practical in large-scale studies. We sought to: 1) validate a mathematical model-derived DI from oral glucose tolerance tests (OGTT) with insulin (mDI) and without (mDI-woI) against cDI and oral disposition index (oDI) evaluate the ability of the novel indices to detect prediabetes and type 2 diabetes.

Methods: We carried out a secondary analysis of previously reported cross-sectional observational studies. The Insulin Sensitivity and Secretion mathematical model for glucose-insulin dynamics was applied to five-point and three-point OGTTs synchronized with hyperinsulinemic-euglycemic and hyperglycemic clamps from 130 youth with obesity (68 NGT, 33 IGT, 29 T2D).

Results: Model-derived DI correlated well with clamp DI (R = 0.76 (logged)). Between NGT and IGT, mDI and mDI-woI decreased more than oDI and cDI, (60 and 59% vs 29 and 27%), and by receiver operating characteristic (ROC) analysis were superior at detecting IGT than oDI and cDI (AUC 0.88, 0.87 vs 0.68, 0.65), as was mean glucose (AUC 0.87).

Conclusions: mDI-woI is better than oDI or the labor-intensive cDI for detecting dysglycemia in obese youth. Bypassing insulin measurements with mDI-woI from the OGTT provides a cost-effective approach for large-scale epidemiological studies of dysglycemia in youth.

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Source
http://dx.doi.org/10.1210/clinem/dgae582DOI Listing

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