Anaes · Applied cardiovascular & respiratory physiology
Pharmacokinetics: compartment models
Also known as Pharmacokinetics · Compartment model · Volume of distribution · Clearance · Half-life · Redistribution
Pharmacokinetics describes what the body does to the drug — absorption, distribution, metabolism and excretion — and the compartment model is the mathematical framework that predicts drug concentration over time. The framework rests on five exam-critical ideas: the body is modelled as connected compartments (the central compartment of plasma and well-perfused tissues, a fast peripheral compartment of muscle, and a slow peripheral compartment of fat) between which the drug distributes and redistributes; the volume of distribution (Vd) is the apparent volume that would contain the total drug at the plasma concentration — a large Vd means the drug has left the plasma for the tissues (lipophilic drugs); clearance (CL) is the volume of plasma cleared of drug per unit time, and is the main determinant of the maintenance infusion rate; the elimination half-life (t1/2) is the time for the plasma concentration to fall by 50 percent, determined by Vd and CL (t1/2 equals 0.693 times Vd over CL); and redistribution from the peripheral compartments back to the central compartment is the mechanism by which a single IV bolus of thiopental or propofol wears off — the drug has not been metabolised, it has redistributed to muscle and fat, dropping the brain concentration below the effect threshold. Built on the obese-cardiac Marsh-vs-Schnider induction study (Ye 2026, n-118, 59 per arm, Marsh total-weight vs Schnider lean-weight, delta-C NS during TCI with Marsh lower after cessation p less than 0.05, higher BIS with preserved LVEF/SV and shorter recovery), the four-model propofol LOC comparison (Introna 2026, retrospective neurosurgical, Ce at LOC about 1.5 Marsh/Eleveld to 4.6 Schnider mcg/mL, model effect p less than 0.001, brain lower than spine), the paediatric IV melatonin PK study (Garioud 2026, n-20 age 1 to 6, 0.15 mg/kg, Cmax 416298, t-half 35.2 min, CL 0.0183, Vd 0.92), the remimazolam narrative review (Dong 2025, esterase to inactive CNS7054, high clearance with small Vss and short half-life without accumulation, flumazenil reversal), the LC-MS/MS propofol assay study (Ng 2026, 25 to 5000 ng/mL, 92 percent recovery, single-patient 648 to 4356 ng/mL application), and the propranolol virtual trial (Marques 2026, n-125 simulated, two-compartment, health-to-clearance with BSA-to-central-volume, renal impairment worsens omeprazole interaction, below toxicity, not directly clinical). Compartment equations, half-life arithmetic, and CSHT minute-values below are viva teaching carried with honesty notes, not numbers from these abstracts.
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- The three-compartment model is the viva-standard diagram for IV anaesthetic agents: central V1 (plasma and vessel-rich tissues), fast peripheral V2 (muscle), slow peripheral V3 (fat). Redistribution from V2/V3 back to V1 as the bolus-recovery mechanism is viva teaching, not from the retrieved abstracts.
- Volume of distribution (Vd) is an APPARENT volume — a Vd larger than total body water means tissue accumulation in teaching. The retrieved drug-specific anchor is melatonin Vd 0.92 L/kg (n-20, 0.15 mg/kg).
- Clearance (CL) is the plasma volume cleared per unit time; maintenance rate equals target concentration times CL, and half-life equals 0.693 times Vd over CL — equation teaching, not from the retrieved abstracts. Retrieved drug-specific anchors are melatonin CL 0.0183 and the virtual-trial health-to-clearance covariate.
- Context-sensitive half-time (CSHT) is the 50-percent fall time AFTER stopping an infusion of a given duration — NOT the terminal half-life. Steepening with duration for large-Vd drugs is viva teaching; the retrieved flat-CSHT anchor is remimazolam-specific (esterase, no accumulation).
- Target-controlled infusion (TCI) uses a pharmacokinetic model (Marsh, Schnider, Eleveld) to compute the infusion rate for a target effect-site concentration — the model is a PREDICTION, not a measurement (four-model comparison: Ce at LOC about 1.5 Marsh/Eleveld to 4.6 Schnider mcg/mL, model effect p less than 0.001).
Meet the patient
A 78-year-old, 110 kg man arrives for an emergency laparotomy. You induce with propofol and run a propofol-remifentanil total intravenous anaesthesia infusion for four hours. The processed EEG shows a deeper trace than the displayed effect-site concentration predicted, and emergence is slow. The pump showed plausible numbers throughout — so why is the patient still asleep?[1]
The two questions that decide every TIVA case are the two this topic answers: where did the drug go? (the compartments and Vd), and how fast does it leave? (clearance and the context-sensitive half-time). The pump is a model, not a measurement — in the obese-cardiac induction study (n-118, Marsh total-weight vs Schnider lean-weight) performance error did not differ during TCI but Marsh ran lower error after cessation with higher BIS, preserved LVEF/SV, shorter QTc/QTcd, less propofol, and faster recovery (p less than 0.05 throughout) — and the model assumes a typical patient this one is not.[1]
References6ShowHide
- [1]Ye J, et al. A Prospective Study of Marsh PK-PD Model and Schnider PK-PD Model During Anesthesia Induction for Obese Patients Undergoing Elective Heart Surgery Pharmacol Res Perspect, 2026.PMID 42286797
- [2]Introna M, et al. Target concentrations of propofol predicted by four different pharmacokinetic/pharmacodynamic models to induce loss of consciousness in neurosurgical patients J Anesth Analg Crit Care, 2026.PMID 42231496
- [3]Garioud ALB, Afshari A, Halgreen LR, et al. Pharmacokinetics of Intravenous Melatonin in Preschool-Aged Pediatric Surgical Patients Paediatr Anaesth, 2026.PMID 42325096
- [4]Dong Y. Remimazolam in anesthesia and sedation: A narrative review J Anesth Transl Med, 2025.PMID 41929379
- [5]Ng MKL, et al. Development and Application of an LC-MS/MS Assay for Plasma Propofol Quantification in Major Noncardiac Surgical Patients to Evaluate Target-Controlled Infusion Algorithms Ther Drug Monit, 2026.PMID 42214089
- [6]Marques L, et al. Model-Based Virtual Clinical Trial Reveals Renal Impairment and Body Size as Key Determinants of Pharmacokinetic Variability and Drug-Drug Interaction Risk in Propranolol Therapy Pharmaceutics, 2026.PMID 42357253