Daptomycin Physiology-Based Pharmacokinetic Modeling to Predict Drug Exposure and Pharmacodynamics in Skin and Bone Tissues.


Journal

Clinical pharmacokinetics
ISSN: 1179-1926
Titre abrégé: Clin Pharmacokinet
Pays: Switzerland
ID NLM: 7606849

Informations de publication

Date de publication:
Oct 2022
Historique:
accepted: 31 07 2022
pubmed: 17 8 2022
medline: 14 10 2022
entrez: 16 8 2022
Statut: ppublish

Résumé

Daptomycin has been recommended in the treatment of bone and joint infection. Previous work showed that the approved dosage of daptomycin may be insufficient to achieve optimal exposure in patients with bone and joint infection. However, those studies assumed that bone exposure was similar to steady-state daptomycin-free plasma concentrations. We sought to establish a physiologically based pharmacokinetic (PBPK) model of daptomycin to describe the dynamics of daptomycin disposition in bone and skin tissue. A PBPK model of daptomycin was built using PK-Sim The final model showed a good fit of all datasets with an absolute average fold error between 0.5 and 2 for all pharmacokinetic quantities in blood, skin and bone tissues. Results of dosing simulations showed that doses ≥10 mg/kg should be used in the case of bacteremia caused by Staphylococcus aureus with a minimum inhibitory concentration >0.5 mg/L or Enterococcus faecalis with a minimum inhibitory concentration >1 mg/L, while doses ≥12 mg/kg should be used in the case of bone and joint infection or complicated skin infection. When considering a lower minimum inhibitory concentration, doses of 6-8 mg/kg would likely achieve a sufficient success rate. However, in the case of infections caused by E. faecalis with a minimum inhibitory concentration >2 mg/L, a higher dosage and combination therapy would be necessary to maximize efficacy. We developed the first daptomycin PBPK/pharmacodynamic model for bone and joint infection, which confirmed that a higher daptomycin dosage is needed to optimize exposure in bone tissue. However, such higher dosages raise safety concerns. In this setting, therapeutic drug monitoring and model-informed precision dosing appear necessary to ensure the right exposure on an individual basis.

Sections du résumé

BACKGROUND AND OBJECTIVE
Daptomycin has been recommended in the treatment of bone and joint infection. Previous work showed that the approved dosage of daptomycin may be insufficient to achieve optimal exposure in patients with bone and joint infection. However, those studies assumed that bone exposure was similar to steady-state daptomycin-free plasma concentrations. We sought to establish a physiologically based pharmacokinetic (PBPK) model of daptomycin to describe the dynamics of daptomycin disposition in bone and skin tissue.
METHODS
A PBPK model of daptomycin was built using PK-Sim
RESULTS
The final model showed a good fit of all datasets with an absolute average fold error between 0.5 and 2 for all pharmacokinetic quantities in blood, skin and bone tissues. Results of dosing simulations showed that doses ≥10 mg/kg should be used in the case of bacteremia caused by Staphylococcus aureus with a minimum inhibitory concentration >0.5 mg/L or Enterococcus faecalis with a minimum inhibitory concentration >1 mg/L, while doses ≥12 mg/kg should be used in the case of bone and joint infection or complicated skin infection. When considering a lower minimum inhibitory concentration, doses of 6-8 mg/kg would likely achieve a sufficient success rate. However, in the case of infections caused by E. faecalis with a minimum inhibitory concentration >2 mg/L, a higher dosage and combination therapy would be necessary to maximize efficacy.
CONCLUSIONS
We developed the first daptomycin PBPK/pharmacodynamic model for bone and joint infection, which confirmed that a higher daptomycin dosage is needed to optimize exposure in bone tissue. However, such higher dosages raise safety concerns. In this setting, therapeutic drug monitoring and model-informed precision dosing appear necessary to ensure the right exposure on an individual basis.

Identifiants

pubmed: 35972685
doi: 10.1007/s40262-022-01168-5
pii: 10.1007/s40262-022-01168-5
doi:

Substances chimiques

Anti-Bacterial Agents 0
Daptomycin NWQ5N31VKK

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1443-1456

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Auteurs

Romain Garreau (R)

Service Pharmaceutique, Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69005, Lyon, France. romain.garreau@chu-lyon.fr.
UMR CNRS 5558, Laboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, Villeurbanne, France. romain.garreau@chu-lyon.fr.

Damien Montange (D)

Laboratoire de Pharmacologie Clinique et Toxicologie, Plateforme PACE, Centre Hospitalier Universitaire de Besançon, Besançon, France.
EA 3920, Marqueurs Pronostiques et Facteurs de Régulations des Pathologies Cardiaques et Vasculaires-SFR FED 4234, Université de Franche Comté, Besançon, France.

Antoine Grillon (A)

Institut de Bactériologie, Hôpitaux Universitaires, Strasbourg, France.

François Jehl (F)

Institut de Bactériologie, Hôpitaux Universitaires, Strasbourg, France.

Tristan Ferry (T)

Service des Maladies Infectieuses et Tropicales, Centre Interrégional de Référence Pour la Prise en Charge des Infections Ostéo-Articulaires Complexes (CRIOAc Lyon), Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital de la Croix-Rousse, Lyon, France.
ISPB, Facultés de Médecine et de Pharmacie de Lyon, Université Lyon 1, Lyon, France.
CIRI-Centre International de Recherche en Infectiologie, Inserm, U1111, Université́ Claude Bernard Lyon 1, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Lyon, France.

Laurent Bourguignon (L)

Service Pharmaceutique, Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69005, Lyon, France.
UMR CNRS 5558, Laboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, Villeurbanne, France.
ISPB, Facultés de Médecine et de Pharmacie de Lyon, Université Lyon 1, Lyon, France.

Sylvain Goutelle (S)

Service Pharmaceutique, Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69005, Lyon, France.
UMR CNRS 5558, Laboratoire de Biométrie et Biologie Evolutive, Université de Lyon, Université Lyon 1, Villeurbanne, France.
ISPB, Facultés de Médecine et de Pharmacie de Lyon, Université Lyon 1, Lyon, France.

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