modelJ06BD08

Diagram of J06BD08

Extends from Pharmacokinetic.Models.PK_2C.

Information

name:Nirsevimab
ATC code:J06BD08
route:intramuscular
compartments:2
dosage:50mg
volume of distribution:2.98L
clearance:0.127L/day
other parameters in model implementation

Nirsevimab is a monoclonal antibody used for the prevention of respiratory syncytial virus (RSV) lower respiratory tract disease in infants. It binds to the RSV fusion protein, preventing viral entry into host cells. Approved in several regions including the US and EU for prevention of RSV in neonates and infants entering their first RSV season.

Pharmacokinetics

Pharmacokinetics were evaluated in healthy neonates and infants (≤1 year old), both preterm and term, who received a single intramuscular dose of nirsevimab.

References

  1. Clegg, L, et al., & Hamrén, UW (2024). Population Pharmacokinetics of Nirsevimab in Preterm and Term Infants. Journal of clinical pharmacology 64(5) 555–567. DOI:10.1002/jcph.2401 PUBMED:https://pubmed.ncbi.nlm.nih.gov/38294353

  2. Simões, EAF, et al., & Villafana, T (2023). Efficacy of nirsevimab against respiratory syncytial virus lower respiratory tract infections in preterm and term infants, and pharmacokinetic extrapolation to infants with congenital heart disease and chronic lung disease: a pooled analysis of randomised controlled trials. The Lancet. Child & adolescent health 7(3) 180–189. DOI:10.1016/S2352-4642(22)00321-2 PUBMED:https://pubmed.ncbi.nlm.nih.gov/36634694

  3. Mao, X, et al., & Jin, Y (2025). A phase I, randomized, placebo-controlled trial to evaluate the pharmacokinetics, safety, and tolerability of nirsevimab in healthy Chinese adults. Clinical and translational science 18(1) e70095–None. DOI:10.1111/cts.70095 PUBMED:https://pubmed.ncbi.nlm.nih.gov/39736101

Parameters

TypeNameDefaultDescription
Modelica.Units.SI.Massweight (from PK_1C)75patient weight (kg)
Modelica.Units.SI.SpecificVolumeVdPerKg (from PK_1C)0.9Volume of distribution (L/kg)
Modelica.Units.SI.MassFractionF (from PK_1C)0.8bioavailiability (0-1)
Pharmacolibrary.Types.ClearanceCl (from PK_1C)20clearance
Modelica.Units.SI.TimeadminTime (from PK_1C)60first administration time (s)
Modelica.Units.SI.TimeadminDuration (from PK_1C)600administration duration (s)
Modelica.Units.SI.TimeadminPeriod (from PK_1C)8*60*60period of administration (default 8 hours)(s)
Pharmacolibrary.Types.MassadminMass (from PK_1C)1000administration mass (mg)
IntegeradminCount (from PK_1C)8number of dose administered (1)
Pharmacolibrary.Types.VolumeVd (from PK_1C)VdPerKg*weightVolume of distribution (m3)
Pharmacolibrary.Types.MassConcentrationCmin (from PK_1C)0.004minimal therapeutic range
Pharmacolibrary.Types.MassConcentrationCmax (from PK_1C)0.008minimal therapeutic range
Pharmacolibrary.Types.MassConcentrationCtox_peak (from PK_1C)0.012toxicity peak level
Pharmacolibrary.Types.MassConcentrationCtox_trough (from PK_1C)0.006toxicity trough level
Pharmacolibrary.Types.VolumeVdp (from PK_2C)VdpPerKg*weightVolume of distribution (m3)
Modelica.Units.SI.SpecificVolumeVdpPerKg (from PK_2C)0.9Volume of distribution peripheral(l/kg)
Pharmacolibrary.Types.Clearancek12 (from PK_2C)1intercompartmental C-P clearance
Pharmacolibrary.Types.Clearancek21 (from PK_2C)1intercompartmental P-C clearance

Connectors

TypeNameDefaultDescription
Types.ConcentrationOutputC_central (from PK_1C)
Interfaces.ConcentrationPort_bcentralCPort (from PK_1C)
Interfaces.ConcentrationPort_bperipheralCPort (from PK_2C)
Pharmacolibrary.Types.ConcentrationOutputC_peripheral1 (from PK_2C)

Components

TypeNameDefaultDescription
Pharmacokinetic.NoPerfusedTissueCompartmentcentral (from PK_1C)
Pharmacokinetic.ClearanceDrivenEliminationelim (from PK_1C)
Sources.PeriodicDoseperiodicDose (from PK_1C)
Modelica.Units.SI.Timet1_2 (from PK_1C)elimination half-life
Pharmacolibrary.Pharmacokinetic.TransferFirstOrderNonSymtransfer (from PK_2C)
Pharmacolibrary.Pharmacokinetic.NoPerfusedTissueCompartmentperipheral (from PK_2C)

Revisions

  • 06/2025 Tomas Kulhanek, generated model from data extracted from PUBMED, DrugBank and LLM(GPT4.1)