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Cited by 444

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Serum Drug Concentrations Predictive of Pulmonary Tuberculosis Outcomes

Open access
Pasipanodya, J. G., McIlleron, H., Burger, A., Wash, P. A., Smith, P., Gumbo, T.·2013·Journal of Infectious Diseases

Abstract

BACKGROUND: Based on a hollow-fiber system model of tuberculosis, we hypothesize that microbiologic failure and acquired drug resistance are primarily driven by low drug concentrations that result from pharmacokinetic variability. METHODS: Clinical and pharmacokinetic data were prospectively collected from 142 tuberculosis patients in Western Cape, South Africa. Compartmental pharmacokinetic parameters of isoniazid, rifampin, and pyrazinamide were identified for each patient. Patients were then followed for up to 2 years. Classification and regression tree analysis was used to identify and rank clinical predictors of poor long-term outcome such as microbiologic failure or death, or relapse. RESULTS: Drug concentrations and pharmacokinetics varied widely between patients. Poor long-term outcomes were encountered in 35 (25%) patients. The 3 top predictors of poor long-term outcome, by rank of importance, were a pyrazinamide 24-hour area under the concentration-time curve (AUC) ≤ 363 mg·h/L, rifampin AUC ≤ 13 mg·h/L, and isoniazid AUC ≤ 52 mg·h/L. Poor outcomes were encountered in 32/78 patients with the AUC of at least 1 drug below the identified threshold vs 3/64 without (odds ratio = 14.14; 95% confidence interval, 4.08-49.08). Low rifampin and isoniazid peak and AUC concentrations preceded all cases of acquired drug resistance. CONCLUSIONS: Low drug AUCs are predictive of clinical outcomes in tuberculosis patients.

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Metadata

Authors
Pasipanodya, J. G., McIlleron, H., Burger, A., Wash, P. A., Smith, P., & Gumbo, T.
Venue
Journal of Infectious Diseases
Published
2013-07-29
Volume
208
Issue
9
Pages
1464-1473
ISSN
  • 0022-1899 (ISSN-L)
  • 1537-6613
OpenAlex
W2107834145
Cited by
444
References
32
FWCI
25.80
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Serum Drug Concentrations Predictive of Pulmonary Tuberculosis Outcomes. https://app.cochat.ai/papers/10.1093/infdis/jit352
The paper
Pasipanodya, J. G., McIlleron, H., Burger, A., Wash, P. A., Smith, P., & Gumbo, T. (2013). Serum Drug Concentrations Predictive of Pulmonary Tuberculosis Outcomes. Journal of Infectious Diseases. https://doi.org/10.1093/infdis/jit352

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.