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Sufyan Suleman

InsuSensCalc

Insulin sensitivity indices from fasting, OGTT, adipose and tracer data

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Overview

InsuSensCalc is an R package built around a single function, isi_calculator(), that takes a data frame of glucose, insulin and related measurements and returns published insulin sensitivity indices. A category argument selects which family of measurements to process.

Research problem

Insulin sensitivity indices are derived from many different published formulas, each requiring specific timepoints (fasting only, OGTT, adipose-tissue markers, or tracer/DXA data) and specific unit conventions. Re-implementing these formulas correctly for each study is a common source of error. InsuSensCalc consolidates them behind one interface.

What it computes

  • Fasting (10 indices): Fasting Insulin, Raynaud Index, HOMA-IR_inv, FIRI, QUICKI, Belfiore basal, Insulin to Glucose Ratio, Insulin Sensitivity Index basal, Bennett Index, HOMA-IR-inv (Revised)
  • OGTT (15 indices): Insulin Sensitivity Index, Cederholm Index, Gutt Index, Matsuda ISI AUC, Matsuda ISI, IG_ratio_120_inv, Avignon indices (Si0, Si120, Sim), Modified Stumvoll, Stumvoll Demographics, Glucose and Insulin AUC means, BigttSI, Ifc_inv, HIRI_inv, Belfiore_ISI_gly
  • Adipose tissue (10 indices): Revised QUICKI, VAI (Men/Women), TG/HDL-C ratio, TyG, LAP (Men/Women), McAuley Index, Adipo_inv, Belfiore with FFA
  • Tracer & DXA (3 indices): LIRI_inv, Lipo_inv, ATIRI_inv

Install

install.packages("InsuSensCalc")

# development version
remotes::install_github("sufyansuleman/InsuSensCalc")

Documentation

Full reference and vignettes: https://sufyansuleman.github.io/InsuSensCalc/



Which insulin sensitivity indices do you work with, or are you planning to compute all of them?

I can help you pick the indices that fit your measurements, check units, and run them across your cohort.

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