Evidence map›Paper›PMID 35972685›Full record

ArticleClinical pharmacokinetics2022

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

Romain Garreau, Damien Montange, Antoine Grillon, François Jehl, Tristan Ferry, Laurent Bourguignon, Sylvain Goutelle

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Article in Clinical pharmacokinetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Romain GarreauService Pharmaceutique, Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69005, Lyon, France. romain.garreau@chu-lyon.fr.ORCID 0000-0002-6605-4808
Damien MontangeLaboratoire de Pharmacologie Clinique et Toxicologie, Plateforme PACE, Centre Hospitalier Universitaire de Besançon, Besançon, France.
Antoine GrillonInstitut de Bactériologie, Hôpitaux Universitaires, Strasbourg, France.
François JehlInstitut de Bactériologie, Hôpitaux Universitaires, Strasbourg, France.
Tristan FerryService 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.
Laurent BourguignonService Pharmaceutique, Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69005, Lyon, France.
Sylvain GoutelleService Pharmaceutique, Hospices Civils de Lyon, Groupement Hospitalier Nord, Hôpital Pierre Garraud, 136 rue du Commandant Charcot, 69005, Lyon, France.
Université Claude Bernard Lyon 1 · FRHôpitaux Universitaires de Strasbourg · FRCentre Hospitalier Universitaire de Besançon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveDaptomycin 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.

methodsA PBPK model of daptomycin was built using PK-Sim

resultsThe 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.

conclusionsWe 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.

Indexed as

DaptomycinStaphylococcal InfectionsAnti-Bacterial AgentsBone and BonesHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsDaptomycin

Identifiers

PMID35972685
OpenAlexW4291825292

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.