Evidence map›Paper›PMID 26755499›Full record

ArticleThe Journal of antimicrobial chemotherapy2016

Pharmacodynamics of vancomycin for CoNS infection: experimental basis for optimal use of vancomycin in neonates.

V Ramos-Martín, A Johnson, J Livermore, L McEntee, J Goodwin, S Whalley, F Docobo-Pérez, T W Felton, W Zhao, E Jacqz-Aigrain and 3 more

2 registry-linked trialsAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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.

NCT03113344 unknown statusnot on this mapstarted 2017, after this paper: background citation

Population Pharmacokinetics of Anti-infective Drugs in Children in Anti-infectious Therapies

Typeobservational_patient_registrySponsorBeijing Children's HospitalRan2017 to 2025Enrolled800ConditionsChildren, InfectionArmscephalosporins,penicillins,macrolides,carbapenems and antiviral drugs
NCT03643497 unknown statusnot on this mapstarted 2018, after this paper: background citation

Population Pharmacokinetics of Meropenem and Linezolid in Children With Severe Infectious Diseases

Typeobservational_patient_registrySponsorBeijing Children's HospitalRan2018 to 2021Enrolled800ConditionsChildren;InfectionArmsanti-infective drugs
3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  5. Article
  6. Article
  7. Observational
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  9. Article
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  11. Development of an innovativeFrontiers in medicine · 2022
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  13. Review
  14. Article
  15. Article
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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

13 authors.

V Ramos-MartínDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
A JohnsonDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
J LivermoreDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
L McEnteeDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
J GoodwinDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
S WhalleyDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
F Docobo-PérezDepartment of Microbiology, Universidad de Sevilla, Seville, Spain.
T W FeltonUniversity Hospital of South Manchester NHS Foundation Trust, Manchester, UK.
W ZhaoDepartment of Paediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, Paris, France.
E Jacqz-AigrainDepartment of Paediatric Pharmacology and Pharmacogenetics, Hôpital Robert Debré, Paris, France.
M SharlandPaediatric Infectious Diseases Unit, St George's Hospital, London, UK.
M A TurnerDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK.
W W HopeDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK william.hope@liverpool.ac.uk.

Funding

Medical Research Council G1000417
6 · The paper itself

Abstract

objectivesCoNS are the most common cause of neonatal late-onset sepsis. Information on the vancomycin pharmacokinetics/pharmacodynamics against CoNS is limited. The aim of this study was to characterize vancomycin pharmacokinetic/pharmacodynamic relationships for CoNS and investigate neonatal optimal dosage regimens.

methodsA hollow fibre and a novel rabbit model of neonatal central line-associated bloodstream CoNS infections were developed. The results were then bridged to neonates by use of population pharmacokinetic techniques and Monte Carlo simulations.

resultsThere was a dose-dependent reduction in the total bacterial population and C-reactive protein levels. The AUC/MIC and Cmax/MIC ratios were strongly linked with total and mutant resistant cell kill. Maximal amplification of resistance was observed in vitro at an fAUC/MIC of 200 mg · h/L. Simulations predicted that neonates <29 weeks post-menstrual age are underdosed with standard regimens with respect to older age groups.

conclusionsThe AUC/MIC and Cmax/MIC ratios are the pharmacodynamic indices that best explain total and resistant cell kill in CoNS infection. This suggests that less-fractionated regimens are appropriate for clinical use and continuous infusions may be associated with increased risk of emergence of antimicrobial resistance. This study has provided the pharmacodynamic evidence to inform an optimized neonatal dosage regimen to take into a randomized controlled trial.

Indexed as

AlgorithmsAnimalsAnimals, NewbornAnti-Bacterial AgentsDisease Models, AnimalDose-Response Relationship, DrugMicrobial Sensitivity TestsModels, TheoreticalMonte Carlo MethodNeonatal SepsisRabbitsStaphylococcal InfectionsStaphylococcusVancomycinAnti-Bacterial AgentsVancomycin

Identifiers

PMID26755499
PMCPMC4790623

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.