I am familiar with the HOMA-IR and QUICKI indices for quantifying insulin resistance. However, those indices have a feasibility issue in my team’s current study: a lot of my study subjects may not be in a fasted state. A test such as an OGTT wouldn't work either, since that would require study subjects to fast prior to the test. Are there any ways of quantifying insulin resistance without study subjects fasting?
I have been trying to find papers that relate non-fasting plasma glucose levels to non-fasting plasma insulin levels, but I don't think that's the best way to approach this issue.
Thank you!
In my opinions there are a few methods like HbA1c, insulin and C-Peptide levels can explain the suggested information alternative to HOMA-IR and QUICKI indices.
Conditions of gestation, childbirth and childhood associated with C-peptide in young adults in the 1982 Birth Cohort in Pelotas-RS; Brazil
Romildo Luiz Monteiro Andrade Email author,: [email protected]
Denise Petrucci Gigante, Isabel Oliveira de Oliveira and Bernardo Lessa Horta
BMC Cardiovascular DisordersBMC series – open, inclusive and trusted201717:181
https://doi.org/10.1186/s12872-017-0613-3
I would like to suggest reading the article in which we used a method of adjusting the C-Pep to 22-23 years that expresses the condition of IR
Expert Opin Drug Saf. 2014 Jul;13(7):955-66. doi: 10.1517/14740338.2014.919256. Epub 2014 Jun 5.
The cardiovascular effects of insulin.
Younk LM1, Lamos EM, Davis SN.
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