Difference between linear and non-linear pharmacokinetics in column form
nonlinear pharmacokinetics saturable metabolism
| Feature | Linear Pharmacokinetics | Non-Linear Pharmacokinetics |
|---|---|---|
| Also called | First-order kinetics | Zero-order kinetics / saturation (Michaelis-Menten) kinetics |
| Basic principle | Rate of drug elimination is proportional to plasma drug concentration | Rate of drug elimination is constant, independent of plasma concentration, because the elimination pathway is saturated |
| Governing equation | dA(t)/dt = -k₁·A(t), giving C(t) = C₀·e^(-kt) (exponential decline) | dA(t)/dt = -k₀ (constant), or Michaelis-Menten: rate = Vmax·C/(Km + C) |
| Fraction of drug eliminated per unit time | Constant fraction eliminated per unit time (e.g., a fixed half-life) | Constant amount (not fraction) eliminated per unit time; half-life is not constant |
| Half-life (t½) | Constant, independent of dose or concentration | Not constant - increases as dose/concentration increases (apparent half-life lengthens) |
| Relationship between dose and plasma concentration | Steady-state plasma concentration rises proportionally with dose | Small dose increases can cause disproportionately large rises in plasma concentration once capacity is saturated |
| Clearance | Constant, independent of dose or concentration | Decreases as concentration rises (capacity-limited) |
| AUC (area under curve) | Increases proportionally with dose | Increases more than proportionally with dose beyond the saturation point |
| Underlying mechanism | Elimination pathways (metabolism/renal transport) have abundant unsaturated capacity relative to drug concentration | Metabolic enzymes or transporters become saturated at concentrations used clinically or in overdose |
| Predictability of dosing | Dose adjustments are simple and predictable (linear relationship) | Small dose changes near the saturation point can produce unpredictable, large swings in concentration - narrow margin between therapeutic and toxic doses |
| Typical drug examples | Most drugs at usual therapeutic doses (e.g., aminoglycosides, digoxin, most beta-blockers) | Phenytoin, ethanol, salicylates (at high/toxic concentration), theophylline (at higher doses) |
| Clinical example | Increasing a stable drug's dose from 100 mg to 200 mg roughly doubles steady-state plasma level | In phenytoin, increasing dose modestly beyond the saturation threshold can markedly increase levels, risking toxicity; in salicylates, elimination is first-order below ~30 mg/dL but becomes zero-order (saturated) above it |
| Graphical pattern | Semi-log plot of concentration vs. time is a straight line | Semi-log plot curves; at high concentrations the decline looks closer to linear (constant amount/time) rather than an exponential curve |