modelR02AD02
Extends from Pharmacokinetic.Models.PK_2C.
Information
| name: | Lidocaine | |
| ATC code: | R02AD02 | route: | intravenous |
| compartments: | 2 | |
| dosage: | 100 | mg |
| volume of distribution: | 0.86 | L |
| clearance: | 10.2 | ml/min/kg |
| other parameters in model implementation | ||
Lidocaine is a local anesthetic and antiarrhythmic drug commonly used to numb tissue in a specific area and to treat ventricular arrhythmias. It works by blocking sodium channels, thereby inhibiting nerve impulse initiation and conduction. It is still widely approved and used today for both anesthesia and emergency treatment of arrhythmias.
Pharmacokinetics
Adult healthy volunteers, intravenous bolus injection.
References
Foong, KW, et al., & Loh, PS (2024). Population Pharmacokinetics of Intravenous Lidocaine in Adults: A Systematic Review. Clinical pharmacokinetics 63(5) 623–643. DOI:10.1007/s40262-024-01373-4 PUBMED:https://pubmed.ncbi.nlm.nih.gov/38703307
Heath, C, et al., & Sommerfield, D (2023). Perioperative intravenous lidocaine use in children. Paediatric anaesthesia 33(5) 336–346. DOI:10.1111/pan.14608 PUBMED:https://pubmed.ncbi.nlm.nih.gov/36424875
Crouch, CE, et al., & Fernandez-Bustamante, A (2023). Lidocaine Intraoperative Infusion Pharmacokinetics during Partial Hepatectomy for Living Liver Donation. Anesthesiology 138(1) 71–81. DOI:10.1097/ALN.0000000000004422 PUBMED:https://pubmed.ncbi.nlm.nih.gov/36512707
Parameters
| Type | Name | Default | Description |
|---|---|---|---|
| Modelica.Units.SI.Mass | weight (from PK_1C) | 75 | patient weight (kg) |
| Modelica.Units.SI.SpecificVolume | VdPerKg (from PK_1C) | 0.9 | Volume of distribution (L/kg) |
| Modelica.Units.SI.MassFraction | F (from PK_1C) | 0.8 | bioavailiability (0-1) |
| Pharmacolibrary.Types.Clearance | Cl (from PK_1C) | 20 | clearance |
| Modelica.Units.SI.Time | adminTime (from PK_1C) | 60 | first administration time (s) |
| Modelica.Units.SI.Time | adminDuration (from PK_1C) | 600 | administration duration (s) |
| Modelica.Units.SI.Time | adminPeriod (from PK_1C) | 8*60*60 | period of administration (default 8 hours)(s) |
| Pharmacolibrary.Types.Mass | adminMass (from PK_1C) | 1000 | administration mass (mg) |
| Integer | adminCount (from PK_1C) | 8 | number of dose administered (1) |
| Pharmacolibrary.Types.Volume | Vd (from PK_1C) | VdPerKg*weight | Volume of distribution (m3) |
| Pharmacolibrary.Types.MassConcentration | Cmin (from PK_1C) | 0.004 | minimal therapeutic range |
| Pharmacolibrary.Types.MassConcentration | Cmax (from PK_1C) | 0.008 | minimal therapeutic range |
| Pharmacolibrary.Types.MassConcentration | Ctox_peak (from PK_1C) | 0.012 | toxicity peak level |
| Pharmacolibrary.Types.MassConcentration | Ctox_trough (from PK_1C) | 0.006 | toxicity trough level |
| Pharmacolibrary.Types.Volume | Vdp (from PK_2C) | VdpPerKg*weight | Volume of distribution (m3) |
| Modelica.Units.SI.SpecificVolume | VdpPerKg (from PK_2C) | 0.9 | Volume of distribution peripheral(l/kg) |
| Pharmacolibrary.Types.Clearance | k12 (from PK_2C) | 1 | intercompartmental C-P clearance |
| Pharmacolibrary.Types.Clearance | k21 (from PK_2C) | 1 | intercompartmental P-C clearance |
Connectors
| Type | Name | Default | Description |
|---|---|---|---|
| Types.ConcentrationOutput | C_central (from PK_1C) | ||
| Interfaces.ConcentrationPort_b | centralCPort (from PK_1C) | ||
| Interfaces.ConcentrationPort_b | peripheralCPort (from PK_2C) | ||
| Pharmacolibrary.Types.ConcentrationOutput | C_peripheral1 (from PK_2C) |
Components
| Type | Name | Default | Description |
|---|---|---|---|
| Pharmacokinetic.NoPerfusedTissueCompartment | central (from PK_1C) | ||
| Pharmacokinetic.ClearanceDrivenElimination | elim (from PK_1C) | ||
| Sources.PeriodicDose | periodicDose (from PK_1C) | ||
| Modelica.Units.SI.Time | t1_2 (from PK_1C) | elimination half-life | |
| Pharmacolibrary.Pharmacokinetic.TransferFirstOrderNonSym | transfer (from PK_2C) | ||
| Pharmacolibrary.Pharmacokinetic.NoPerfusedTissueCompartment | peripheral (from PK_2C) |
Revisions
- 06/2025 Tomas Kulhanek, generated model from data extracted from PUBMED, DrugBank and LLM(GPT4.1)