Evidence map›Paper›PMID 30496461›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018

Levofloxacin Pharmacokinetics/Pharmacodynamics, Dosing, Susceptibility Breakpoints, and Artificial Intelligence in the Treatment of Multidrug-resistant Tuberculosis.

Devyani Deshpande, Jotam G Pasipanodya, Stellah G Mpagama, Paula Bendet, Shashikant Srivastava, Thearith Koeuth, Pooi S Lee, Sujata M Bhavnani, Paul G Ambrose, Guy Thwaites and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

  1. d-Cycloserine Pharmacokinetics/Pharmacodynamics, Susceptibility, and Dosing Implications in Multidrug-resistant Tuberculosis: A Faustian Deal.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  15. Therapeutic drug monitoring in tuberculosis.European journal of clinical pharmacology · 2024
    Review
  16. Role of therapeutic drug monitoring in the treatment of multi-drug resistant tuberculosis.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
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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

12 authors at 4 institutions in 3 countries.

Devyani DeshpandeCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Jotam G PasipanodyaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Stellah G MpagamaKibong'oto Infectious Diseases Hospital, Sanya Juu, Tanzania.
Paula BendetCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Shashikant SrivastavaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Thearith KoeuthCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Pooi S LeeCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Sujata M BhavnaniInstitute for Clinical Pharmacodynamics, Schenectady, New York.
Paul G AmbroseInstitute for Clinical Pharmacodynamics, Schenectady, New York.
Guy ThwaitesNuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Churchill Hospital, Oxford, United Kingdom.
Scott K HeysellDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville.
Tawanda GumboCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas.
Baylor University Medical Center · USInstitute for Clinical Pharmacodynamics (United States) · USChurchill Hospital · GBUniversity of Virginia · US

Funding

Diagnostics and Pharmacotherapy for Severe Forms of TBU01AI115594 · NIAID · UNIVERSITY OF VIRGINIA · PI HEYSELL, SCOTT K, HOUPT, ERIC R · 2015 to 2019
$3.0M
NIAID NIH HHS U01 AI115594Wellcome Trust
6 · The paper itself

Abstract

Background: Levofloxacin is used for the treatment of multidrug-resistant tuberculosis; however the optimal dose is unknown. Methods: We used the hollow fiber system model of tuberculosis (HFS-TB) to identify 0-24 hour area under the concentration-time curve (AUC0-24) to minimum inhibitory concentration (MIC) ratios associated with maximal microbial kill and suppression of acquired drug resistance (ADR) of Mycobacterium tuberculosis (Mtb). Levofloxacin-resistant isolates underwent whole-genome sequencing. Ten thousands patient Monte Carlo experiments (MCEs) were used to identify doses best able to achieve the HFS-TB-derived target exposures in cavitary tuberculosis and tuberculous meningitis. Next, we used an ensemble of artificial intelligence (AI) algorithms to identify the most important predictors of sputum conversion, ADR, and death in Tanzanian patients with pulmonary multidrug-resistant tuberculosis treated with a levofloxacin-containing regimen. We also performed probit regression to identify optimal levofloxacin doses in Vietnamese tuberculous meningitis patients. Results: In the HFS-TB, the AUC0-24/MIC associated with maximal Mtb kill was 146, while that associated with suppression of resistance was 360. The most common gyrA mutations in resistant Mtb were Asp94Gly, Asp94Asn, and Asp94Tyr. The minimum dose to achieve target exposures in MCEs was 1500 mg/day. AI algorithms identified an AUC0-24/MIC of 160 as predictive of microbiologic cure, followed by levofloxacin 2-hour peak concentration and body weight. Probit regression identified an optimal dose of 25 mg/kg as associated with >90% favorable response in adults with pulmonary tuberculosis. Conclusions: The levofloxacin dose of 25 mg/kg or 1500 mg/day was adequate for replacement of high-dose moxifloxacin in treatment of multidrug-resistant tuberculosis.

Indexed as

Artificial IntelligenceAlgorithmsAntitubercular AgentsDrug Resistance, Multiple, BacterialDrug Therapy, CombinationHumansLevofloxacinMicrobial Sensitivity TestsMonte Carlo MethodMycobacterium tuberculosisSputumTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryAntitubercular AgentsLevofloxacin

Identifiers

PMID30496461
PMCPMC6260169
OpenAlexW2904423610

What OpenQuestion holds

Textmetadata
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.