Evidence map›Paper›PMID 39255245›Full record

ArticleThe Journal of antimicrobial chemotherapy2024

Population pharmacokinetics of unbound cefazolin in infected hospitalized patients requiring intermittent high-flux haemodialysis: can a three-times-weekly post-dialysis dosing regimen provide optimal treatment?

Carleigh Duke, Suzanne L Parker, Betty B Zam, Fabian Chiong, Cherian Sajiv, Basant Pawar, Aadith Ashok, Brynley P Cooper, Steven Y C Tong, Sonja Janson and 3 more

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Carleigh DukeCollege of Medicine and Public Health, Flinders University, Corner Skinner and Simpson Streets, Darwin 0870, Northern Territory, Australia.ORCID 0009-0002-3093-7403
Suzanne L ParkerUniversity of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-6124-7475
Betty B ZamPharmacy Department, Alice Springs Hospital, Alice Springs, Northern Territory, Australia.
Fabian ChiongDepartment of Medicine, Alice Springs Hospital, Alice Springs, Northern Territory, Australia.
Cherian SajivDepartment of Nephrology, Alice Springs Hospital, Alice Springs, Northern Territory, Australia.
Basant PawarVictorian Infectious Diseases Service, The Royal Melbourne Hospital at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Aadith AshokDepartment of Medicine, Alice Springs Hospital, Alice Springs, Northern Territory, Australia.
Brynley P CooperPharmacy Department, Alice Springs Hospital, Alice Springs, Northern Territory, Australia.
Steven Y C TongDepartment of Nephrology, Alice Springs Hospital, Alice Springs, Northern Territory, Australia.ORCID 0000-0002-1368-8356
Sonja JansonDepartment of Infectious Diseases, Royal Darwin Hospital, Darwin, Northern Territory, Australia.
Steven C WallisUniversity of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-2392-9854
Jason A RobertsUniversity of Queensland Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-6218-435X
Danny TsaiCollege of Medicine and Public Health, Flinders University, Corner Skinner and Simpson Streets, Darwin 0870, Northern Territory, Australia.ORCID 0000-0002-7059-8808

Funding

Australian National Health and Medical Research Council APP1142757Australian National Health and Medical Research Council for a Centre of Research Excellence APP2007007Flinders University
6 · The paper itself

Abstract

objectivesTo describe the population pharmacokinetics of cefazolin in infected hospitalized patients requiring intermittent haemodialysis (IHD).

methodsThis prospective population pharmacokinetic study was conducted in IHD patients prescribed cefazolin 2 g three times weekly. Plasma samples were collected at prespecified timepoints and assayed for total and unbound concentrations using validated LC. Pharmacokinetic modelling and dosing simulations were performed using Pmetrics®. PTA in plasma suitable for MSSA (unbound trough concentrations of ≥2 mg/L for the final 24 h of a 72 h interval) were simulated for different dosing regimens. A PTA of ≥95% was deemed acceptable.

resultsA total of 260 cefazolin concentrations (130 total, 130 unbound) were collected from 16 patients (14 female) with a median age of 51 years. The median (IQR) pre-dialysis unbound cefazolin concentration for a 3 day dose interval trough was 17.7 (13.5-31.4) mg/L. The median (IQR) unbound fraction was 0.38 (0.32-0.46). The lowest pre-dialysis unbound concentration was 9.1 mg/L. A two-compartment model with a complex protein-binding component adequately described the data. The mean unbound cefazolin CL during IHD was 16.4 ± 4.26 L/h, compared with 0.40 ± 0.19 L/h when dialysis was off. Duration of time on haemodialysis (TOH) was the only covariate supported in the final model. The 2 g three-times-weekly regimen was associated with a PTA of 99.7% on dosing simulations to maintain unbound concentrations of ≥2 mg/L with TOH of 6 months. The 1 g three-times-weekly post-dialysis was associated with a PTA of 95.4%.

conclusionsA 2 g three-times-weekly post-dialysis cefazolin regimen is supported for MSSA infections.

Indexed as

Anti-Bacterial AgentsCefazolinRenal DialysisAdultAgedBacterial InfectionsDrug Administration ScheduleFemaleHospitalizationHumansMaleMiddle AgedProspective StudiesAnti-Bacterial AgentsCefazolin

Identifiers

PMID39255245
PMCPMC11531813

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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.