Calculates a first-order elimination rate constant from two post-distribution concentrations and their sampling times. This clinical guide covers appropriate use, calculation, interpretation, limitations and practical safeguards.
Overview
Calculates a first-order elimination rate constant from two post-distribution concentrations and their sampling times.
Clinical Significance
This estimate is valid only when both samples lie on the same post-distribution, log-linear elimination phase and no additional dose occurred between them.
When to Use
- Estimate first-order elimination from two correctly timed drug concentrations.
- Use samples after distribution is complete.
- Confirm that no dose or extracorporeal clearance change occurred between samples.
How It Is Calculated
- k = ln(C1 ÷ C2) ÷ (t2 − t1).
- The calculator validates the required inputs before applying the equation and rounds only the displayed result.
Interpretation
- This estimate is valid only when both samples lie on the same post-distribution, log-linear elimination phase and no additional dose occurred between them.
- Review the component values and assumptions as well as the final result.
Worked Example
Enter clinically plausible values in the stated units. MedicalC applies: k = ln(C1 ÷ C2) ÷ (t2 − t1). Review the displayed result against the source data and the relevant clinical pathway.
Patient Considerations
- Confirm that the patient and clinical setting match the population or physiologic assumptions behind the equation.
- Consider whether treatment, organ function, pregnancy, body composition, sampling conditions or acute illness materially alter interpretation.
- Use serial calculations only when methods and units remain comparable.
Limitations
- Two points cannot confirm a truly log-linear phase.
- Assay error and timing error can markedly affect k.
- The model is unreliable with multi-compartment or changing clearance.
Clinical Pearls
- Use exact sample collection times rather than scheduled times.
- The earlier concentration must exceed the later concentration.
- Plot additional levels when the model is uncertain.
Common Mistakes
- Using a peak obtained before distribution is complete.
- Using times measured from different reference points.
- Ignoring an intervening dose.
Evidence Base
The implementation uses the published or established relationship: k = ln(C1 ÷ C2) ÷ (t2 − t1). The cited source should be reviewed alongside current specialty guidance before clinical deployment.
Frequently Asked Questions
What does the Two-Level Elimination Rate Constant calculator do?
Calculates a first-order elimination rate constant from two post-distribution concentrations and their sampling times.
Can the result be used by itself?
No. The result is clinical decision support and must be interpreted with the source measurements, patient context and current guidance.
What most commonly makes the result unreliable?
Using a peak obtained before distribution is complete.
When should the calculation be repeated?
Repeat it when a relevant input, sampling condition, treatment or clinical state changes.
Does the calculator replace direct measurement or specialist review?
No. Use direct measurement, validated software or specialist review whenever the clinical decision requires greater precision.
References
- Sawchuk RJ, Zaske DE. Pharmacokinetics of dosing regimens which utilize multiple intravenous infusions. J Pharmacokinet Biopharm. 1976. — Primary publication, authoritative guideline or recognised clinical source supporting the calculation.
Reviewed by: MedicalC Clinical Editorial Team
Last reviewed: July 2026
