Evidence map›Paper›PMID 39715157›Full record

ArticlePloS one2024

Optimization of meropenem continuous infusion based on Monte Carlo simulation integrating with degradation study.

Nguyen Tran Nam Tien, Vu Ngan Binh, Pham Thi Thanh Ha, Dang Thi Ngoc Lan, Yong-Soon Cho, Nguyen Phuoc Long, Jae-Gook Shin, Nguyen Hoang Anh, Truong Anh Quan, Do Ngoc Tuan and 4 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Nguyen Tran Nam TienNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-0638-2172
Vu Ngan BinhDepartment of Analytical Chemistry and Drug Quality Control, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0003-1285-7514
Pham Thi Thanh HaDepartment of Analytical Chemistry and Drug Quality Control, Hanoi University of Pharmacy, Hanoi, Vietnam.
Dang Thi Ngoc LanDepartment of Analytical Chemistry and Drug Quality Control, Hanoi University of Pharmacy, Hanoi, Vietnam.
Yong-Soon ChoDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.
Nguyen Phuoc LongDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.ORCID 0000-0002-4678-0546
Jae-Gook ShinDepartment of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea.
Nguyen Hoang AnhNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-8998-7192
Truong Anh QuanNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-8462-3410
Do Ngoc TuanDepartment of Computing, Goldsmiths, University of London, London, United Kingdom.
Nguyen Khac TiepDepartment of Pharmaceutical BioTechnology, Hanoi University of Pharmacy, Hanoi, Vietnam.
Pham The ThachCenter for Intensive Care Medicine, Bach Mai Hospital, Hanoi, Vietnam.
Nguyen Hoang AnhNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-9643-1678
Vu Dinh HoaNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-7976-6716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMeropenem degradation poses a challenge to continuous infusion (CI) implementation. However, data about the impact of degradation on the probability of target attainment (PTA) of meropenem has been limited. This study evaluated the stability of meropenem brands and the consequence of in-bottle degradation on PTA in different environmental scenarios.

methodSeven meropenem generic brands prepared at concentrations of 1 g/48mL and 2 g/48mL in saline were examined at 25, 30, and 37°C over 8 h. A linear mixed-effects model was used to estimate degradation rate constant and potential covariates. In-bottle stability data was subsequently integrated as input for a deterministic and stochastic simulation using a published population pharmacokinetic model of critical illness. The impact of the degradation on target attainment at 98%fT>MIC was assessed.

resultsTime, temperature, and infusion concentration were factors affecting the stability of the meropenem solution for all products. The differences in the degradation of seven generics were subtle, so their simulated plasma concentrations were equal. Meropenem CI with 8 h renewal infusion achieved a higher PTA than the extended 3 h infusion, even at the highest degradation condition. The impact of meropenem degradation on PTA was minimal vis-à-vis the meropenem dose, patient's renal function, and microbial susceptibility. Meropenem degradation reduced PTA by an observable magnitude in patients with augmented renal clearance and difficult-to-treat pathogens. Dose escalation up to 1.5-2g every 8 h could restore this reduction to the target 90% PTA.

conclusionMeropenem CI with 8 h of renewal infusion, considering stability even in tropical areas, was feasible to maximize the efficacy to difficult-to-treat pathogens.

Indexed as

Anti-Bacterial AgentsDrug StabilityMeropenemMonte Carlo MethodComputer SimulationHumansInfusions, IntravenousMicrobial Sensitivity TestsTemperatureAnti-Bacterial AgentsMeropenem

Identifiers

PMID39715157
PMCPMC11666027

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.