Calculates the TyG index from fasting triglycerides and fasting glucose. This guide explains the formula, use and limitations.
Overview
Calculates the TyG index from fasting triglycerides and fasting glucose.
Clinical Significance
Higher values are associated with greater insulin resistance in population studies; no universal diagnostic cut-off exists.
When to Use
- Use when the calculation is relevant to the clinical question.
- Confirm that the population and units match the validated method.
- Use current and reliable measurements.
How It Is Calculated
- TyG = ln[(fasting triglycerides × fasting glucose) ÷ 2].
Interpretation
- Higher values are associated with greater insulin resistance in population studies; no universal diagnostic cut-off exists.
- Interpret alongside the full clinical picture and current guidance.
Worked Example
Enter the required measurements in the stated units. MedicalC then applies: TyG = ln[(fasting triglycerides × fasting glucose) ÷ 2].
Patient Considerations
- Consider age, body size, pregnancy, organ function and treatment effects where relevant.
- Repeat the calculation when inputs or clinical status materially change.
Limitations
- Accuracy depends on the quality and units of the entered data.
- The equation may not be validated in every patient population.
- This tool does not replace clinical judgement or specialist advice.
Clinical Pearls
- Check units before calculating.
- Document the source and timing of each input.
- Use trends where clinically appropriate.
Common Mistakes
- Mixing SI and conventional units.
- Using non-contemporaneous measurements.
- Treating the output as a diagnosis or prescription.
Evidence Base
The implemented calculation follows the published or guideline-based relationship: TyG = ln[(fasting triglycerides × fasting glucose) ÷ 2].
Frequently Asked Questions
What does the Triglyceride–Glucose Index calculator do?
Calculates the TyG index from fasting triglycerides and fasting glucose.
Can the result be used alone?
No. Use it as decision support with clinical assessment and current guidance.
Why might the result be misleading?
Incorrect units, poor measurement quality or use outside the validated population can produce misleading results.
Should it be recalculated?
Recalculate when relevant measurements or the clinical condition change.
References
- Simental-Mendía LE, et al. The product of fasting glucose and triglycerides as surrogate for insulin sensitivity. Metab Syndr Relat Disord. 2008. — Primary publication, guideline or established source supporting the calculation.
Reviewed by: MedicalC Clinical Editorial Team
Last reviewed: July 2026