Evidence map›Paper›PMID 36877034›Full record

ArticleAntimicrobial agents and chemotherapy2023

Determining the Delamanid Pharmacokinetics/Pharmacodynamics Susceptibility Breakpoint Using Monte Carlo Experiments.

Yongge Liu, Mischka Moodley, Jotam G Pasipanodya, Tawanda Gumbo

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Pharmacology of emerging drugs for the treatment of multi-drug resistant tuberculosis.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
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

4 authors.

Yongge LiuOtsuka Pharmaceutical Development & Commercialization, Inc., Rockville, Maryland, USA.ORCID 0000-0002-3982-4176
Mischka MoodleyOtsuka Novel Products GmbH, Munich, Germany.ORCID 0000-0002-9494-5720
Jotam G PasipanodyaQuantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, Texas, USA.
Tawanda GumboQuantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, Texas, USA.ORCID 0000-0001-7592-8012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial susceptibility testing, based on clinical breakpoints that incorporate pharmacokinetics/pharmacodynamics (PK/PD) and clinical outcomes, is becoming a new standard in guiding individual patient therapy as well as for drug resistance surveillance. However, for most antituberculosis drugs, breakpoints are instead defined by the epidemiological cutoff values of the MIC of phenotypically wild-type strains irrespective of PK/PD or dose. In this study, we determined the PK/PD breakpoint for delamanid by estimating the probability of target attainment for the approved dose administered at 100 mg twice daily using Monte Carlo experiments. We used the PK/PD targets (0- to 24-h area under the concentration-time curve to MIC) identified in a murine chronic tuberculosis model, hollow fiber system model of tuberculosis, early bactericidal activity studies of patients with drug-susceptible tuberculosis, and population pharmacokinetics in patients with tuberculosis. At the MIC of 0.016 mg/L, determined using Middlebrook 7H11 agar, the probability of target attainment was 100% in the 10,000 simulated subjects. The probability of target attainment fell to 25%, 40%, and 68% for PK/PD targets derived from the mouse model, the hollow fiber system model of tuberculosis, and patients, respectively, at the MIC of 0.031 mg/L. This indicates that an MIC of 0.016 mg/L is the delamanid PK/PD breakpoint for delamanid at 100 mg twice daily. Our study demonstrated that it is feasible to use PK/PD approaches to define a breakpoint for an antituberculosis drug.

Indexed as

Antitubercular AgentsHumansModels, AnimalMonte Carlo MethodNitroimidazolesOxazolesPharmacokineticsAntitubercular AgentsNitroimidazolesOPC-67683Oxazolesearly bactericidal activityhollow fiber system model of TBmouse tuberculosis modelpharmacometrics

Identifiers

PMID36877034
PMCPMC10112185

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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.