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Calcimator

Insulin Sensitivity Calculator

HOMA-IR from fasting glucose and insulin.

Inputs

Results

HOMA-IR

1.78

HOMA-%B (β-cell function)106.7
QUICKI0.35
Est. Average Glucose (mg/dL)114
Resistance Level (0–3)1
How to Use This Calculator
  1. Enter Fasting Insulin (uU/mL) and Fasting Glucose (mg/dL) from a morning fasting lab draw.
  2. Input HbA1c (%) from the most recent lab report.
  3. Review HOMA-IR — a value above 2.5-3.0 indicates insulin resistance.
  4. Check QUICKI and HOMA-%B (beta-cell function) for a fuller picture of insulin dynamics.
  5. Use Resistance Level (0-3) to stratify patients for lifestyle intervention or pharmacotherapy.

How the result changes with Fasting Insulin (µU/mL)

Fasting Insulin (µU/mL)HOMA-IR
306.67
10523.33
19543.33
27060

What each input means

Fasting Insulin (µU/mL)
Fasting serum insulin level in micro-units per milliliter.
Fasting Glucose (mg/dL)
Fasting blood glucose in mg/dL. Multiply mmol/L × 18 to convert.
HbA1c (%)
Glycated hemoglobin percentage for estimated average glucose.

What each result means

HOMA-IR
Homeostatic Model Assessment of Insulin Resistance. <1 optimal, 1–1.9 normal, 2–2.9 early resistance, ≥3 significant resistance.
HOMA-%B (β-cell function)
Estimated pancreatic β-cell function (%). Higher values indicate greater insulin secretion capacity.
QUICKI
Quantitative Insulin Sensitivity Check Index. Normal ≈ 0.35–0.40; lower values suggest resistance.
Est. Average Glucose (mg/dL)
Estimated average glucose derived from HbA1c using ADAG formula: eAG = 28.7 × A1c − 46.7.
Resistance Level (0–3)
0 = Optimal, 1 = Normal, 2 = Early insulin resistance, 3 = Significant insulin resistance.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    Fasting Insulin (µU/mL) = 8, Fasting Glucose (mg/dL) = 90, HbA1c (%) = 5.6 = 3 input(s) provided
  2. Calculate HOMA-IR
    HOMA-IR = (fastingInsulin * fastingGlucose) / 405
    1.78 = 1.78
  3. Calculate HOMA-%B
    106.7 = 106.7
  4. Calculate QUICKI
    QUICKI = 1 / (log10(max(0.1, fastingInsulin)) + log10(max(1, fastingGlucose)))
    0.35 = 0.35

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