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Published on: January 7, 2018
Comparative Informativity of Computing Methods of Insulin Resistance Assessment
S I Kseneva1, E V Borodulina2, O Yu Trifonova2
1E. D. Goldberg Research Institute of Pharmacology and Regenerative Medicine, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia. viksbest@mail.ru.
Abstract:
We conducted a comparative study of the calculated indices of insulin resistance HOMA-R, Caro, FGIR, and QUICKI in 29 healthy volunteers (mean age 26.21±0.93 years) with normal body mass index (23.34±0.55 kg/m2). Among the used methods for insulin resistance assessment, QUICKI is the only method that has characteristics required for the diagnostic criterium: low variability coefficient, 100% reproducibility, and minimum coefficient of variation.
