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Comparative Informativity of Computing Methods of Insulin Resistance Assessment

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Bulletin of Experimental Biology and Medicine Aims and scope

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.

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Authors and Affiliations

  1. E. D. Goldberg Research Institute of Pharmacology and Regenerative Medicine, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia

    S. I. Kseneva, E. V. Borodulina, O. Yu. Trifonova & V. V. Udut

  2. I. M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation (Sechenov University), Moscow, Russia

    V. P. Fisenko

  3. National Research Tomsk State University, Tomsk, Russia

    V. V. Udut

Authors
  1. S. I. Kseneva
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  2. E. V. Borodulina
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  3. O. Yu. Trifonova
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  4. V. P. Fisenko
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  5. V. V. Udut
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Correspondence to S. I. Kseneva.

Additional information

Translated from Byulleten’ Eksperimental’noi Biologii i Meditsiny, Vol. 172, No. 9, pp. 385-389, September, 2021

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Kseneva, S.I., Borodulina, E.V., Trifonova, O.Y. et al. Comparative Informativity of Computing Methods of Insulin Resistance Assessment. Bull Exp Biol Med 172, 385–389 (2022). https://doi.org/10.1007/s10517-022-05398-2

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  • DOI: https://doi.org/10.1007/s10517-022-05398-2

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