Literature DB >> 24876451

A novel hierarchal-based approach to measure insulin sensitivity and secretion in at-risk populations.

Paul D Docherty1, J Geoffrey Chase2, Lisa Te Morenga2, Liam M Fisk2.   

Abstract

The pathogenesis of type 2 diabetes is characterized by insulin resistance and insulin secretory dysfunction. Few existing metabolic tests measure both characteristics, and no such tests are inexpensive enough to enable widespread use. A hierarchical approach uses 2 down-sampled tests in the dynamic insulin sensitivity and secretion test (DISST) family to first determine insulin sensitivity (SI) using 4 glucose measurements. Second the insulin secretion is determined for only participants with reduced SI using 3 C-peptide measurements from the original test. The hierarchical approach is assessed via its ability to classify 214 individual test responses of 71 females with an elevated risk of type 2 diabetes into 5 bins with equivalence to the fully sampled DISST. Using an arbitrary SI cut-off, 102 test responses were reassayed for C-peptide and unique insulin secretion characteristics estimated. The hierarchical approach correctly classified 84.5% of the test responses and 94.4% of the responses of individuals with increased fasting glucose. The hierarchical approach is a low-cost methodology for measuring key characteristics of type 2 diabetes. Thus the approach could provide an economical approach to studying the pathogenesis of type 2 diabetes, or in early risk screening. As the higher cost test uses the same clinical protocol as the low-cost test, the cost of the additional information is limited to the assay cost of C-peptide, and no additional procedures or callbacks are required.
© 2014 Diabetes Technology Society.

Entities:  

Keywords:  a posteriori identification; hierarchical testing; insulin secretion; insulin sensitivity; type 2 diabetes

Mesh:

Substances:

Year:  2014        PMID: 24876451      PMCID: PMC4764222          DOI: 10.1177/1932296814536511

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


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