Antibiotic dosing is only partly about the total amount of drug given. What actually predicts bacterial kill is the shape of the concentration-time curve relative to the organism’s minimum inhibitory concentration, the MIC. This calculator reproduces the three pharmacodynamic indices used in clinical pharmacology and checks whether a proposed regimen reaches its target.
How it works
A one-compartment intravenous model is built from the inputs. The elimination rate constant comes from the half-life, and clearance follows from the volume of distribution:
ke = ln(2) / t_half
CL = ke x Vd
Cmax = (Dose / Vd) x free_fraction
For time-dependent beta-lactams, the time the free drug spends above the MIC within one interval is found by solving the exponential decay curve:
t_above = ln(Cmax_free / MIC) / ke (capped at the interval)
fT>MIC% = 100 x t_above / interval
For concentration-dependent aminoglycosides the index is simply Cmax / MIC. For AUC-dependent quinolones and vancomycin the 24-hour exposure is scaled from the per-interval area:
AUC24 = (Dose / CL) x (24 / interval)
AUC24/MIC = AUC24 / MIC
Example and notes
Take piperacillin 4 g IV every 8 hours against an organism with MIC 4 mg/L, half-life 1 hour, and Vd 18 L. The free peak is high and the drug stays above the MIC for a large share of the interval, comfortably clearing a 50 percent fT>MIC target. Halve the dose or double the MIC and the time above MIC falls quickly, which is why dose, interval, and infusion strategy are tuned together. This tool uses fixed, population-independent kinetics and an IV-bolus assumption; it is a teaching aid, not a substitute for therapeutic drug monitoring.