modelRopivacaine
Extends from Pharmacolibrary.Drugs.ATC.N.N01BB09.
Information
| name: | Ropivacaine | |
| ATC code: | N01BB09 | route: | intravenous |
| compartments: | 2 | |
| dosage: | 50 | mg |
| volume of distribution: | 41 | L |
| clearance: | 387 | ml/min |
| other parameters in model implementation | ||
Ropivacaine is a long-acting local anesthetic of the amide type, mainly used for surgical anesthesia, postoperative pain management, and acute pain control (e.g., epidural, nerve block, infiltration). It is approved and widely used globally due to its lower cardiotoxicity compared to bupivacaine.
Pharmacokinetics
Pharmacokinetic parameters reported from adult healthy volunteers following intravenous administration.
References
Borsuk, A, et al., & Wiczling, P (2017). Flip-Flop Phenomenon in Epidural Sufentanil Pharmacokinetics: A Population Study in Children and Infants. Journal of clinical pharmacology 57(9) 1194–1206. DOI:10.1002/jcph.912 PUBMED:https://pubmed.ncbi.nlm.nih.gov/28510304
Olofsen, E, et al., & Dahan, A (2008). Population pharmacokinetic-pharmacodynamic modeling of epidural anesthesia. Anesthesiology 109(4) 664–674. DOI:10.1097/01.anes.0000334302.50559.c9 PUBMED:https://pubmed.ncbi.nlm.nih.gov/18813046
Mossetti, V, et al., & Ivani, G (2012). Local anesthetis and adjuvants in pediatric regional anesthesia. Current drug targets 13(7) 952–960. DOI:10.2174/138945012800675713 PUBMED:https://pubmed.ncbi.nlm.nih.gov/22512395
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)