Evidence map›Paper›PMID 32443147›Full record

ArticleThe Journal of antimicrobial chemotherapy2020

Optimization of flucloxacillin dosing regimens in critically ill patients using population pharmacokinetic modelling of total and unbound concentrations.

Nynke G L Jager, Reinier M van Hest, Jiao Xie, Gloria Wong, Marta Ulldemolins, Roger J M Brüggemann, Jeffrey Lipman, Jason A Roberts

Open access · hybridAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. High unbound flucloxacillin fraction in critically ill patients.The Journal of antimicrobial chemotherapy · 2021
    Observational
  14. Article
  15. Article
  16. Hypoalbuminemia as Surrogate and Culprit of Infections.International journal of molecular sciences · 2021
    Review
  17. Review
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

8 authors at 5 institutions in 5 countries.

Nynke G L JagerUniversity of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
Reinier M van HestDepartment of Hospital Pharmacy - Clinical Pharmacology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Jiao XieDepartment of Pharmacy, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Gloria WongUniversity of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
Marta UlldemolinsInternal Medicine - Infectious Diseases Departments, Hospital Universitari de Bellvitge, l'Hospitalet de Llobregat, Spain.
Roger J M BrüggemannDepartment of Pharmacy, Radboud University Medical Center and Radboud Institute for Health Sciences, Nijmegen, The Netherlands.
Jeffrey LipmanUniversity of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
Jason A RobertsUniversity of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, Australia.
The University of Queensland · AURadboud University Nijmegen · NLAmsterdam University Medical Centers · NLBellvitge University Hospital · ESSecond Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInitial appropriate anti-infective therapy is associated with improved outcomes in patients with severe infections. In critically ill patients, altered pharmacokinetic (PK) behaviour is common and known to influence the achievement of PK/pharmacodynamic targets.

objectivesTo describe population PK and optimized dosing regimens for flucloxacillin in critically ill patients.

methodsFirst, we developed a population PK model, estimated between-patient variability (BPV) and identified covariates that could explain BPV through non-linear mixed-effects analysis, using total and unbound concentrations obtained from 35 adult critically ill patients treated with intermittent flucloxacillin. Second, we validated the model using external datasets from two different countries. Finally, frequently prescribed dosing regimens were evaluated using Monte Carlo simulations.

resultsA two-compartment model with non-linear protein binding was developed and validated. BPV of the maximum binding capacity decreased from 42.2% to 30.4% and BPV of unbound clearance decreased from 88.1% to 71.6% upon inclusion of serum albumin concentrations and estimated glomerular filtration rate (eGFR; by CKD-EPI equation), respectively. PTA (target of 100%fT>MIC) was 91% for patients with eGFR of 33 mL/min and 1 g q6h, 87% for patients with eGFR of 96 mL/min and 2 g q4h and 71% for patients with eGFR of 153 mL/min and 2 g q4h.

conclusionsFor patients with high creatinine clearance who are infected with moderately susceptible pathogens, therapeutic drug monitoring is advised since there is a risk of underexposure to flucloxacillin. Due to the non-linear protein binding of flucloxacillin and the high prevalence of hypoalbuminaemia in critically ill patients, dose adjustments should be based on unbound concentrations.

Indexed as

Critical IllnessFloxacillinAdultAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsMonte Carlo MethodAnti-Bacterial AgentsFloxacillin

Identifiers

PMID32443147
PMCPMC7443729
OpenAlexW3028357818

What OpenQuestion holds

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LicenceCC BY-NC
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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.