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Copyright ©The Author(s) 2025.
World J Clin Cases. Oct 16, 2025; 13(29): 108380
Published online Oct 16, 2025. doi: 10.12998/wjcc.v13.i29.108380
Table 1 Summary of key insulin resistance indices: Formulas, strengths, limitations, clinical applications, and references
Index
Formula
Strengths
Limitations
Typical clinical applications
Ref.
HOMA-IR[FINS (μU/mL) × FPG (mg/dL)] ÷ 405Simple, inexpensive, widely used; correlates with hepatic IRReflects mainly hepatic IR; influenced by insulin assay variabilityScreening for IR; early detection of T2DM[36,39,40]
QUICKI1 ÷ {log [FINS (μU/mL)] + log [FPG (mg/dL)]}Slightly more stable than HOMA-IR; correlates with HEC studiesSimilar limitations to HOMA-IR; mainly reflects hepatic IRAlternative simple index for IR estimation[41]
Matsuda index10000/square root of (FPG × FINS) × (Mean OGTT glucose × Mean OGTT insulin)Assesses whole-body insulin sensitivity; captures both hepatic and peripheral IRRequires OGTT; multiple blood samples neededResearch use; screening in high-risk populations[42]
TyG indexln [Fasting TG (mg/dL) × FPG (mg/dL) ÷ 2]Easily available; useful for predicting metabolic riskInfluenced by TG variability, not a direct measure of insulin sensitivityPrediction of MetS, T2DM, and CVD risk[35,46-49]
TG/HDL-C ratioFasting TG (mg/dL) ÷ HDL-C [(mg/dL)Simple; associated with atherogenic dyslipidemia and IREthnic variability in cut-off points; limited sensitivity for early IRCVD risk stratification; MetS screening[50-54]