Evidence map›Paper›PMID 29561305›Full record

ArticleTherapeutic drug monitoring2018

Exploring the Use of C-Reactive Protein to Estimate the Pharmacodynamics of Vancomycin.

Timothy M Rawson, Esmita Charani, Luke S P Moore, Mark Gilchrist, Pantelis Georgiou, William Hope, Alison H Holmes

Abstract read
In one paragraph

Article in Therapeutic drug monitoring, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Biomarker-Guided Individualization of Antibiotic Therapy.Clinical pharmacology and therapeutics · 2021
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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 4 institutions in 1 country.

Timothy M RawsonNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London.
Esmita CharaniNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London.
Luke S P MooreNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London.
Mark GilchristImperial College Healthcare NHS Trust, Hammersmith Hosptial, London, United Kindom.
Pantelis GeorgiouDepartment of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.
William HopeDepartment of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, United Kingdom.
Alison H HolmesNational Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London.
Imperial College London · GBImperial College Healthcare NHS Trust · GBNational Institute for Health Research · GBUniversity of Liverpool · GB

Funding

Department of Health II-LA-0214-20008
6 · The paper itself

Abstract

backgroundC-reactive protein (CRP) pharmacodynamic (PD) models have the potential to provide adjunctive methods for predicting the individual exposure response to antimicrobial therapy. We investigated CRP PD linked to a vancomycin pharmacokinetic (PK) model using routinely collected data from noncritical care adults in secondary care.

methodsPatients receiving intermittent intravenous vancomycin therapy in secondary care were identified. A 2-compartment vancomycin PK model was linked to a previously described PD model describing CRP response. PK and PD parameters were estimated using a Non-Parametric Adaptive Grid technique. Exposure-response relationships were explored with vancomycin area-under-the-concentration-time-curve (AUC) and EC50 (concentration of drug that causes a half maximal effect) using the index, AUC:EC50, fitted to CRP data using a sigmoidal Emax model.

resultsTwenty-nine individuals were included. Median age was 62 (21-97) years. Fifteen (52%) patients were microbiology confirmed. PK and PD models were adequately fitted (r 0.83 and 0.82, respectively). There was a wide variation observed in individual Bayesian posterior EC50 estimates (6.95-48.55 mg/L), with mean (SD) AUC:EC50 of 31.46 (29.22). AUC:EC50 was fitted to terminal CRP with AUC:EC50 >19 associated with lower CRP value at 96-120 hours of therapy (100 mg/L versus 44 mg/L; P < 0.01).

conclusionsThe use of AUC:EC50 has the potential to provide in vivo organism and host response data as an adjunct for in vitro minimum inhibitory concentration data, which is currently used as the gold standard PD index for vancomycin therapy. This index can be estimated using routinely collected clinical data. Future work must investigate the role of AUC:EC50 in a prospective cohort and explore linkage with direct patient outcomes.

Indexed as

Administration, IntravenousAdultAgedAged, 80 and overAnti-Bacterial AgentsBiomarkersCohort StudiesC-Reactive ProteinFemaleHumansMaleMiddle AgedVancomycinYoung AdultAnti-Bacterial AgentsBiomarkersC-Reactive ProteinVancomycin

Identifiers

PMID29561305
PMCPMC6485622
OpenAlexW2802900827

What OpenQuestion holds

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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.