Evidence map›Paper›PMID 27742636›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016

Drug Concentration Thresholds Predictive of Therapy Failure and Death in Children With Tuberculosis: Bread Crumb Trails in Random Forests.

Soumya Swaminathan, Jotam G Pasipanodya, Geetha Ramachandran, A K Hemanth Kumar, Shashikant Srivastava, Devyani Deshpande, Eric Nuermberger, Tawanda Gumbo

Abstract readMulticenter Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 2 pooled it
–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

84 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Effectiveness and Pharmacokinetic Exposures of First-Line Drugs Used to Treat Drug-Susceptible Tuberculosis in Children: A Systematic Review and Meta-Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Pooled it
  2. Pooled it
  3. Effect of HIV on bedaquiline and delamanid pharmacokinetics in patients with multidrug-resistant TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    Trial
  4. Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Trial
  5. Trial
  6. Quality assurance of rifampicin-containing fixed-drug combinations in South Africa: dosing implications.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
    Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Examining effective monotherapy hypothesis for TB therapy failure and resistance emergence.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Low rifampicin levels in plasma associated with a poor clinical response in patients with abdominal TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
    Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

8 authors.

Soumya SwaminathanNational Institute for Research in Tuberculosis, Chennai, India.
Jotam G PasipanodyaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas.
Geetha RamachandranNational Institute for Research in Tuberculosis, Chennai, India.
A K Hemanth KumarNational Institute for Research in Tuberculosis, Chennai, India.
Shashikant SrivastavaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas.
Devyani DeshpandeCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas.
Eric NuermbergerCenter for Tuberculosis Research, Department of Medicine Department of International Health, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Tawanda GumboCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Dallas, Texas Department of Medicine, University of Cape Town, Observatory, South Africa.

Funding

Short course therapy for MDR-TB based on PK/PD answers for biological variabilityR56AI111985 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GUMBO, TAWANDA · 2014 to 2014
$900k
NIAID NIH HHS R56 AI111985
6 · The paper itself

Abstract

backgroundThe role of drug concentrations in clinical outcomes in children with tuberculosis is unclear. Target concentrations for dose optimization are unknown.

methodsPlasma drug concentrations measured in Indian children with tuberculosis were modeled using compartmental pharmacokinetic analyses. The children were followed until end of therapy to ascertain therapy failure or death. An ensemble of artificial intelligence algorithms, including random forests, was used to identify predictors of clinical outcome from among 30 clinical, laboratory, and pharmacokinetic variables.

resultsAmong the 143 children with known outcomes, there was high between-child variability of isoniazid, rifampin, and pyrazinamide concentrations: 110 (77%) completed therapy, 24 (17%) failed therapy, and 9 (6%) died. The main predictors of therapy failure or death were a pyrazinamide peak concentration <38.10 mg/L and rifampin peak concentration <3.01 mg/L. The relative risk of these poor outcomes below these peak concentration thresholds was 3.64 (95% confidence interval [CI], 2.28-5.83). Isoniazid had concentration-dependent antagonism with rifampin and pyrazinamide, with an adjusted odds ratio for therapy failure of 3.00 (95% CI, 2.08-4.33) in antagonism concentration range. In regard to death alone as an outcome, the same drug concentrations, plus z scores (indicators of malnutrition), and age <3 years, were highly ranked predictors. In children <3 years old, isoniazid 0- to 24-hour area under the concentration-time curve <11.95 mg/L × hour and/or rifampin peak <3.10 mg/L were the best predictors of therapy failure, with relative risk of 3.43 (95% CI, .99-11.82).

conclusionsWe have identified new antibiotic target concentrations, which are potential biomarkers associated with treatment failure and death in children with tuberculosis.

Indexed as

AdolescentAntitubercular AgentsBiomarkersChildChild, PreschoolCoinfectionDrug MonitoringDrug Therapy, CombinationFemaleHIV InfectionsHumansInfantMachine LearningMaleModels, StatisticalPrognosisAntitubercular AgentsBiomarkersboosted classification and regression tree analyseschildhood tuberculosisdrug concentration thresholdspharmacokinetic variabilityrandom forests

Identifiers

PMID27742636
PMCPMC5064152

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.