Evidence map›Paper›PMID 41665863›Full record

ArticleClinical pharmacokinetics2026

Single Saliva Sample Model-Informed Precision Dosing of Levofloxacin for Multidrug-Resistant Tuberculosis.

Thi A Nguyen, Tri P Nguyen, Anh T Nguyen, Luong V Dinh, Hoa B Nguyen, Hoa D Vu, Tram N B Nguyen, Dang Vu, Greg J Fox, Jan-Willem C Alffenaar and 1 more

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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5 · Who and what money

Authors and funding

11 authors.

Thi A NguyenFaculty of Medicine and Health, Sydney Pharmacy School, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia.ORCID 0000-0002-8508-8990
Tri P NguyenHo Chi Minh City University of Technology, Ho Chi Minh City, Vietnam.ORCID 0000-0001-5531-0223
Anh T NguyenFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Luong V DinhNational Lung Hospital, Hanoi, Vietnam.
Hoa B NguyenNational Lung Hospital, Hanoi, Vietnam.
Hoa D VuNational Drug Information and Adverse Drug Reactions Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam.ORCID 0000-0002-7976-6716
Tram N B NguyenThe University of Sydney Vietnam Institute, Ho Chi Minh City, Vietnam.
Dang VuThe University of Sydney Vietnam Institute, Ho Chi Minh City, Vietnam.
Greg J FoxFaculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Jan-Willem C AlffenaarFaculty of Medicine and Health, Sydney Pharmacy School, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia.ORCID 0000-0001-6703-0288
Sophie L StockerFaculty of Medicine and Health, Sydney Pharmacy School, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia. sophie.stocker@sydney.edu.au.ORCID 0000-0002-2114-587X

Funding

National Health and Medical Research Council APP1153493National Health and Medical Research Council APP1157643National Health and Medical Research Council APP2007920
6 · The paper itself

Abstract

BACKGROUND AND

objectivesLevofloxacin is an essential drug in multidrug-resistant tuberculosis (MDR-TB) treatment, but high pharmacokinetic variability necessitates therapeutic drug monitoring (TDM) to optimise exposure and improve outcomes. Traditional TDM requires invasive blood sampling, limiting feasibility. Saliva sampling, a non-invasive matrix may simplify implementation. We aimed to develop a levofloxacin population pharmacokinetic (popPK) model integrating plasma and saliva data, and to evaluate saliva-based limited sampling strategies to support model-informed TDM for levofloxacin in practice.

methodsAdults receiving oral levofloxacin for ≥ 7 days had plasma and saliva samples collected at 0, 2, and 5 h post-dose. A plasma-and-saliva popPK model was developed using NONMEM, including covariate evaluation. Predictive performance of saliva-based limited sampling strategies for estimating plasma AUC

resultsA total of 57 patients with 342 paired plasma-saliva samples were evaluated. One-compartment model incorporating saliva bio-compartment with first-order absorption (with a lag time) and elimination best described the data. No significant covariates were identified. Simulations showed that the three-point saliva strategy (0, 2, 5 h) predicted plasma AUC

conclusionsThe developed popPK model enables reliable estimation of levofloxacin exposure from limited saliva samples. A single 2-h post-dose saliva concentration may support model-informed levofloxacin TDM in routine MDR-TB care. This approach may be beneficial in settings where plasma-based TDM is logistically or ethically challenging.

Indexed as

Antitubercular AgentsLevofloxacinModels, BiologicalSalivaTuberculosis, Multidrug-ResistantAdultArea Under CurveBayes TheoremDrug MonitoringFemaleHumansMaleMiddle AgedMonte Carlo MethodYoung AdultAntitubercular AgentsLevofloxacin

Identifiers

PMID41665863
PMCPMC13038660

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LicenceCC BY-NC
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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.