modelS01LA09
Extends from Pharmacokinetic.Models.PK_2C.
Information
| name: | Faricimab | |
| ATC code: | S01LA09 | route: | intravitreal |
| compartments: | 2 | |
| dosage: | 6 | mg |
| volume of distribution: | 3.85 | L |
| clearance: | 0.122 | L/day |
| other parameters in model implementation | ||
Faricimab is a bispecific monoclonal antibody designed to bind and inhibit both angiopoietin-2 (Ang-2) and vascular endothelial growth factor A (VEGF-A). It is used for the treatment of neovascular (wet) age-related macular degeneration (nAMD) and diabetic macular edema (DME). Faricimab was approved by the US FDA in 2022 and is currently in clinical use.
Pharmacokinetics
PK parameters reported in patients with neovascular age-related macular degeneration (nAMD) receiving a 6 mg intravitreal dose.
References
Diack, C, et al., & Cosson, V (2024). Ocular Pharmacokinetics of Faricimab Following Intravitreal Administration in Patients With Retinal Disease. Translational vision science & technology 13(11) 14–None. DOI:10.1167/tvst.13.11.14 PUBMED:https://pubmed.ncbi.nlm.nih.gov/39535744
Diack, C, et al., & Bogman, K (2024). Ocular Pharmacodynamics of Intravitreal Faricimab in Patients With Neovascular Age-Related Macular Degeneration or Diabetic Macular Edema. Translational vision science & technology 13(11) 13–None. DOI:10.1167/tvst.13.11.13 PUBMED:https://pubmed.ncbi.nlm.nih.gov/39535745
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)