Calculates FIB-4 from age, AST, ALT and platelet count.
FIB-4 Index: Clinical Guide
Browse Knowledge HubCalculates FIB-4 from age, AST, ALT and platelet count. This guide explains the formula, use and limitations.
Overview
Calculates FIB-4 from age, AST, ALT and platelet count.
Clinical Significance
FIB-4 is primarily a fibrosis risk stratification tool. Age and disease-specific pathways influence interpretation.
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
- FIB-4 = age × AST ÷ [platelets × √ALT].
Interpretation
- FIB-4 is primarily a fibrosis risk stratification tool. Age and disease-specific pathways influence interpretation.
- Interpret alongside the full clinical picture and current guidance.
Worked Example
Enter the required measurements in the stated units. MedicalC then applies: FIB-4 = age × AST ÷ [platelets × √ALT].
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: FIB-4 = age × AST ÷ [platelets × √ALT].
Frequently Asked Questions
What does the FIB-4 Index calculator do?
Calculates FIB-4 from age, AST, ALT and platelet count.
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
- Sterling RK, et al. Development of a simple noninvasive index to predict significant fibrosis. Hepatology. 2006. — Primary publication, guideline or established source supporting the calculation.
Reviewed by: MedicalC Clinical Editorial Team
Last reviewed: July 2026
Clinical Disclaimer
MedicalC calculators and clinical tools are intended to support healthcare professionals. They do not replace clinical judgement, individual patient assessment, local guidance or specialist advice.
Results should always be interpreted in the context of the patient’s history, examination, investigations, current clinical condition and applicable professional guidance.