Calcmedical

HOMA-IR

Medical context

Estimate insulin resistance from fasting glucose and insulin (HOMA-IR).

Primary and hospital medicine teams use this for everyday internal medicine workflows.

This page explains the HOMA-IR formula, how to interpret the output, known limitations, and peer-reviewed references so you can verify results against primary sources and local protocols.

It is grouped under General Medicine because everyday internal medicine calculators.

How to use this calculator

  1. Enter the values requested by the HOMA-IR calculator using the units shown beside each field.
  2. Review the calculated result and read the interpretation section before acting on the output.
  3. Check limitations and references if the result will change management, dosing, or disposition.
  4. Use the related calculators section when you need supporting values (for example electrolytes, weight, or complementary risk scores).

Calculator

Result

2.22

HOMA-IR (fasting glucose × insulin / 405)

Cutoffs vary by assay and population; interpret locally.

Educational use only. Confirm results with clinical judgment, primary sources, and local protocols. Not a substitute for professional medical advice. Full disclaimer.

Formula

HOMA-IR = (glucose mg/dL × insulin µU/mL) / 405.

Interpretation

Higher values suggest greater insulin resistance; cutoffs are assay- and population-specific.

Limitations

Not a diagnostic criterion for diabetes; fasting samples required.

Frequently asked questions

What is a normal HOMA-IR?
Often <1.9–2.0 is considered more insulin-sensitive, but local reference ranges vary.
Is the HOMA-IR result enough to make a treatment decision?
No. Calculators support medical decision-making but do not replace examination, shared decision-making, institutional protocols, or consultant input when stakes are high.
Does Calcmedical store the values I type in?
Inputs are processed in your browser for this session. We do not ask for patient names or medical record numbers. See our privacy policy for hosting and analytics details.

References

  • Matthews DR et al. HOMA model