modelHumanNormalImmunoglobulinCombina

Diagram of HumanNormalImmunoglobulinCombina

Extends from Pharmacolibrary.Drugs.ATC.J.J06BB30.

Information

name:HumanNormalImmunoglobulinCombinations
ATC code:J06BB30
route:intravenous
n-compartments2

Human normal immunoglobulin combinations under ATC code J06BB30 are preparations containing pooled immunoglobulins, usually from the plasma of multiple healthy donors, and may include other added antibodies or immune components. These are used for passive immunization to provide immediate protection or immune support against specific infections or for replacement in immunodeficiency disorders. Approval and use depend on regional regulatory status and specific combination components.

Pharmacokinetics

Estimated typical pharmacokinetic parameters for intravenous human immunoglobulin preparations in healthy adult subjects, as no published human PK studies are available for specific J06BB30 combinations.

References

  1. Bateman, RM, et al., & Prandi, E (2016). 36th International Symposium on Intensive Care and Emergency Medicine : Brussels, Belgium. 15-18 March 2016. Critical care (London, England) 20(Suppl 2) 94–None. DOI:10.1186/s13054-016-1208-6 PUBMED:https://pubmed.ncbi.nlm.nih.gov/27885969

  2. Gota, V, et al., & Menon, H (2016). Population pharmacokinetics of Reditux™, a biosimilar Rituximab, in diffuse large B-cell lymphoma. Cancer chemotherapy and pharmacology 78(2) 353–359. DOI:10.1007/s00280-016-3083-x PUBMED:https://pubmed.ncbi.nlm.nih.gov/27329361

  3. Herpst, JM, et al., & Vriesendorp, HM (1995). Survival of patients with resistant Hodgkin's disease after polyclonal yttrium 90-labeled antiferritin treatment. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 13(9) 2394–2400. DOI:10.1200/JCO.1995.13.9.2394 PUBMED:https://pubmed.ncbi.nlm.nih.gov/7666099

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 initial generated model