Evidence map›Paper›PMID 36948580›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2024

Population pharmacokinetics and dosing optimisation of imipenem in critically ill patients.

Jing Bai, Aiping Wen, Zhe Li, Xingang Li, Meili Duan

Open access · hybridAbstract read
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Jing Bai *Department of Intensive Care Unit, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Aiping Wen *Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhe LiDepartment of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0003-4775-0872
Xingang Li *Department of Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China duanmeili@ccmu.edu.cn lxg198320022003@163.com.ORCID http://orcid.org/0000-0001-6726-9571
Meili Duan *Department of Intensive Care Unit, Beijing Friendship Hospital, Capital Medical University, Beijing, China duanmeili@ccmu.edu.cn lxg198320022003@163.com.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to explore factors that affect the clearance of imipenem in critically ill patients and to provide a dosing regimen for such patients.

methodsA prospective open-label study enrolled 51 critically ill patients with sepsis. Patients were between the ages of 18 and 96. Blood samples were collected in duplicate before (0 hour) and at 0.5, 1, 1.5, 2, 3, 4, 6, and 8 hours after imipenem administration. The plasma imipenem concentration was determined by the high-performance liquid chromatography-ultraviolet detection (HPLC-UV) method. A population pharmacokinetic (PPK) model was developed using nonlinear mixed-effects modelling methods to identify covariates. Monte Carlo simulations were performed using the final PPK model to explore the effect of different dosing regimens on the probability of target attainment (PTA).

resultsThe imipenem concentration data were best described by a two-compartment model. Creatinine clearance (CrCl, mL/min) was a covariate that affected central clearance (CLc). Patients were divided into four subgroups based on different CrCl rates. Monte Carlo simulations were performed to assess the PTA differences between empirical dosing regimens (0.5 g every 6 hours (q6h), 0.5 g every 8 hours (q8h), 0.5 g every 12 hours (q12h), 1 g every 6 hours (q6h), 1 g every 8 hours (q8h), and 1 g every 12 hours (q12h)) and to determine the target achievement rate covariate.

conclusionThis study identified covariates for CLc, and the proposed final model can be used to guide clinicians administering imipenem in this particular patient population.

Indexed as

Anti-Bacterial AgentsCritical IllnessImipenemMonte Carlo MethodAdolescentAdultAgedAged, 80 and overDose-Response Relationship, DrugFemaleHumansMaleMiddle AgedModels, BiologicalProspective StudiesSepsisAnti-Bacterial AgentsImipenemclinical medicinedrug monitoringmedical informaticsmicrobiologypharmacy service, hospital

Identifiers

PMID36948580
PMCPMC11347199
OpenAlexW4353055719

What OpenQuestion holds

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LicenceCC BY-NC
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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.