Evidence Hub

Studying intrapulmonary pharmacokinetics for tuberculosis treatment: a systematic review of methodology

Isabella van der Feltz, Haini Wen, Rob E. Aarnoutse, Cécile Magis-Escurra, Elin M. Svensson, Lindsey H. M. te Brake

Journal of Antimicrobial Chemotherapy, 2025

4 citations

Abstract

OBJECTIVES: Drug concentrations at the site of disease in pulmonary tuberculosis (TB) remain limitedly available, while adequate exposures of anti-TB drugs in the lungs are required for sterilization of lesions. Intrapulmonary concentration data could benefit TB treatment optimization. We conducted a systematic review to identify methods that can be used for sampling, quantifying, describing and predicting intrapulmonary pharmacokinetics of anti-TB drugs in humans. METHODS: Two systematic search strategies were conducted in databases Embase and PubMed, last searched on 18 July 2024. In total, 253 studies were identified, and their applied methods were classified into three different categories: (i) sampling techniques, (ii) quantitative analysis and (iii) modelling methods. All types of pulmonary diseases were included in the search. RESULTS: Sputum sampling was reported as sampling method in nine studies, tissue biopsy in 51, bronchoalveolar lavage in 115, bronchoscopic microsampling in eight, bronchoabsorption in one and microdialysis in 12 studies. LC-MS/MS, the gold standard for drug quantification in biological samples, was used in 67 studies. Other quantification methods included positron emission tomography, reported in 12 studies and matrix-assisted laser desorption ionization mass spectrometry on lung tissue in three studies. For prediction and description of (pre)clinical intrapulmonary concentration data, population pharmacokinetic modelling was reported in 32…

How strong is the evidence?

Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free