Evidence map›Paper›PMID 34596726›Full record

ArticleEuropean journal of clinical pharmacology2022

Population pharmacokinetics of cefotaxime in intensive care patients.

Maria Swartling, Anna-Karin Smekal, Mia Furebring, Miklos Lipcsey, Siv Jönsson, Elisabet I Nielsen

Abstract readMulticenter Study
In one paragraph

Article in European journal of clinical pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Maria SwartlingDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-8816-0567
Anna-Karin SmekalDepartment of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.
Mia FurebringDepartment of Medical Sciences, Infectious Medicine, Uppsala University, Uppsala, Sweden.
Miklos LipcseyDepartment of Surgical Sciences, Anaesthesiology and Intensive Care, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1976-4129
Siv JönssonDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-8240-0865
Elisabet I NielsenDepartment of Pharmacy, Uppsala University, Uppsala, Sweden. elisabet.nielsen@farmaci.uu.se.ORCID http://orcid.org/0000-0003-0725-214X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo characterise the pharmacokinetics and associated variability of cefotaxime in adult intensive care unit (ICU) patients and to assess the impact of patient covariates.

methodsThis work was based on data from cefotaxime-treated patients included in the ACCIS (Antibiotic Concentrations in Critical Ill ICU Patients in Sweden) study. Clinical data from 51 patients at seven different ICUs in Sweden, given cefotaxime (1000-3000 mg given 2-6 times daily), were collected from the first day of treatment for up to three consecutive days. In total, 263 cefotaxime samples were included in the population pharmacokinetic analysis.

resultsA two-compartment model with linear elimination, proportional residual error and inter-individual variability (IIV) on clearance and central volume of distribution best described the data. The typical individual was 64 years, with body weight at ICU admission of 92 kg and estimated creatinine clearance of 94 mL/min. The resulting typical value of clearance was 11.1 L/h, central volume of distribution 5.1 L, peripheral volume of distribution 18.2 L and inter-compartmental clearance 14.5 L/h. The estimated creatinine clearance proved to be a significant covariate on clearance (p < 0.001), reducing IIV from 68 to 49%.

conclusionA population pharmacokinetic model was developed to describe cefotaxime pharmacokinetics and associated variability in adult ICU patients. The estimated creatinine clearance partly explained the IIV in cefotaxime clearance. However, the remaining unexplained IIV is high and suggests a need for dose individualisation using therapeutic drug monitoring where the developed model, after evaluation of predictive performance, may provide support.

Indexed as

Intensive Care UnitsAdultAgedAged, 80 and overAnti-Bacterial AgentsBody WeightCefotaximeCreatinineFemaleHumansMaleMetabolic Clearance RateMiddle AgedModels, BiologicalAnti-Bacterial AgentsCefotaximeCreatinineCefotaximeCritically illModellingPopulation pharmacokinetics

Identifiers

PMID34596726
PMCPMC8748331

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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.