modelR05CB01_1
Extends from Pharmacokinetic.Models.PK_2C.
Information
| name: | Acetylcysteine_1 | |
| ATC code: | R05CB01_1 | route: | intravenous |
| compartments: | 2 | |
| dosage: | 300 | mg |
| volume of distribution: | 0.47 | L |
| clearance: | 0.21 | L/h/kg |
| other parameters in model implementation | ||
Acetylcysteine (N-acetylcysteine, NAC) is a mucolytic agent used to break down mucus, particularly in the lungs. It is also used as an antidote for acetaminophen (paracetamol) overdose. Approved and widely used in clinical practice today.
Pharmacokinetics
Pharmacokinetic parameters in patients after intravenous administration of NAC for acetaminophen overdose (standard 21-hour protocol).
References
Forrest, JA, et al., & Prescott, LF (1982). Clinical pharmacokinetics of paracetamol. Clinical pharmacokinetics 7(2) 93–107. DOI:10.2165/00003088-198207020-00001 PUBMED:https://pubmed.ncbi.nlm.nih.gov/7039926
Anderson, SM, et al., & Patel, RV (2011). Intravenous N-acetylcysteine in the prevention of contrast media-induced nephropathy. The Annals of pharmacotherapy 45(1) 101–107. DOI:10.1345/aph.1P275 PUBMED:https://pubmed.ncbi.nlm.nih.gov/21205947
Fayed, MS, et al., & Coles, LD (2023). Population Pharmacokinetic Model of N-Acetylcysteine During Periods of Recurrent Hypoglycemia in Healthy Volunteers. Clinical pharmacology in drug development 12(12) 1234–1240. DOI:10.1002/cpdd.1338 PUBMED:https://pubmed.ncbi.nlm.nih.gov/37937383
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)