Procalcitonin Helper
Enter a PCT value to get its clinical interpretation against established sepsis and antibiotic guidance thresholds.
Use the Procalcitonin Helper
Enter PCT Value
ng/mL and mcg/L are numerically equal. Divide ng/dL by 100.
Serial Values (optional)
Enter a PCT value to see its clinical interpretation
Infection Likelihood
Antibiotic Guidance
Clinical Notes
Serial Trend
Clinical Threshold Reference
| PCT (ng/mL) | Tier | Interpretation |
|---|---|---|
| < 0.1 | Tier 1 | Bacterial infection unlikely; antibiotics not indicated |
| 0.1 – 0.25 | Tier 2 | Low likelihood; antibiotics discouraged unless high clinical suspicion |
| 0.25 – 0.5 | Tier 3 | Possible bacterial infection; antibiotics may be considered |
| 0.5 – 2.0 | Tier 4 | Probable systemic bacterial infection; antibiotics recommended |
| 2.0 – 10 | Tier 5 | High probability of sepsis; prompt antibiotics indicated |
| > 10 | Tier 6 | Severe sepsis / septic shock likely; urgent broad-spectrum antibiotics |
Thresholds per IDSA/ESCMID guidance. Always interpret in clinical context.
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Summary
Interprets procalcitonin (PCT) blood test values against clinical thresholds to guide sepsis likelihood assessment and antibiotic therapy decisions. PCT rises rapidly in bacterial infections and sepsis while staying low in viral infections, making it a key biomarker for antibiotic stewardship.
How it works
- Enter the PCT value from the blood test report.
- Select the unit (ng/mL is standard; mcg/L is numerically equivalent).
- The tool maps the value to the established 6-tier clinical threshold table.
- A color-coded result shows the infection likelihood tier and antibiotic guidance.
- Serial values can be entered to track treatment response over time.
Use cases
- Assessing likelihood of bacterial vs. viral infection in febrile patients.
- Supporting decisions on initiating or withholding antibiotic therapy.
- Guiding antibiotic de-escalation when PCT falls during treatment.
- Monitoring response to sepsis therapy with serial PCT measurements.
- Teaching clinical reasoning about inflammatory biomarkers.
Frequently Asked Questions
Last updated: 2026-06-18 · Reviewed by Nham Vu