Evidence map›Paper›PMID 26786016›Full record

ArticlePharmaceutical research2016

Simulation-Based Evaluation of PK/PD Indices for Meropenem Across Patient Groups and Experimental Designs.

Anders N Kristoffersson, Pascale David-Pierson, Neil J Parrott, Olaf Kuhlmann, Thierry Lave, Lena E Friberg, Elisabet I Nielsen

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 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 2 institutions in 2 countries.

Anders N KristofferssonDepartment of Pharmaceutical Biosciences, Uppsala Universitet, Box 591, Uppsala, SE-751 24, Sweden. anders.kristoffersson@farmbio.uu.se.ORCID http://orcid.org/0000-0003-3166-9981
Pascale David-PiersonF. Hoffmann-La Roche Ltd., Innovation Center Basel, Pharmaceuticals Sciences, Basel, Switzerland.
Neil J ParrottF. Hoffmann-La Roche Ltd., Innovation Center Basel, Pharmaceuticals Sciences, Basel, Switzerland.
Olaf KuhlmannF. Hoffmann-La Roche Ltd., Innovation Center Basel, Pharmaceuticals Sciences, Basel, Switzerland.
Thierry LaveF. Hoffmann-La Roche Ltd., Innovation Center Basel, Pharmaceuticals Sciences, Basel, Switzerland.
Lena E FribergDepartment of Pharmaceutical Biosciences, Uppsala Universitet, Box 591, Uppsala, SE-751 24, Sweden.
Elisabet I NielsenDepartment of Pharmaceutical Biosciences, Uppsala Universitet, Box 591, Uppsala, SE-751 24, Sweden.
Roche (Switzerland) · CHUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAntibiotic dose predictions based on PK/PD indices rely on that the index type and magnitude is insensitive to the pharmacokinetics (PK), the dosing regimen, and bacterial susceptibility. In this work we perform simulations to challenge these assumptions for meropenem and Pseudomonas aeruginosa.

methodsA published murine dose fractionation study was replicated in silico. The sensitivity of the PK/PD index towards experimental design, drug susceptibility, uncertainty in MIC and different PK profiles was evaluated.

resultsThe previous murine study data were well replicated with fT > MIC selected as the best predictor. However, for increased dosing frequencies fAUC/MIC was found to be more predictive and the magnitude of the index was sensitive to drug susceptibility. With human PK fT > MIC and fAUC/MIC had similar predictive capacities with preference for fT > MIC when short t1/2 and fAUC/MIC when long t1/2.

conclusionsA longitudinal PKPD model based on in vitro data successfully predicted a previous in vivo study of meropenem. The type and magnitude of the PK/PD index were sensitive to the experimental design, the MIC and the PK. Therefore, it may be preferable to perform simulations for dose selection based on an integrated PK-PKPD model rather than using a fixed PK/PD index target.

Indexed as

AnimalsAnti-Bacterial AgentsComputer SimulationDose-Response Relationship, DrugFemaleHumansMaleMeropenemMiceMicrobial Sensitivity TestsModels, BiologicalPseudomonas aeruginosaPseudomonas InfectionsThienamycinsAnti-Bacterial AgentsMeropenemThienamycinsantibioticdose selectionmeropenempharmacometricpseudomonas aeruginosa

Identifiers

PMID26786016
OpenAlexW2173560000

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.