Literature DB >> 21098246

In silico children and the glass mouse model: clinical trial simulations to identify and individualize optimal isoniazid doses in children with tuberculosis.

Prakash M Jeena1, William R Bishai, Jotam G Pasipanodya, Tawanda Gumbo.   

Abstract

Children with tuberculosis present with high rates of disseminated disease and tuberculous (TB) meningitis due to poor cell-mediated immunity. Recommended isoniazid doses vary from 5 mg/kg/day to 15 mg/kg/day. Antimicrobial pharmacokinetic/pharmacodynamic studies have demonstrated that the ratio of the 0- to 24-h area under the concentration-time curve (AUC(0-24)) to the MIC best explains isoniazid microbial kill. The AUC(0-24)/MIC ratio associated with 80% of maximal kill (80% effective concentration [EC(80)]), considered the optimal effect, is 287.2. Given the pharmacokinetics of isoniazid encountered in children 10 years old or younger, with infants as a special group, and given the differences in penetration of isoniazid into phagocytic cells, epithelial lining fluid, and subarachnoid space during TB meningitis, we performed 10,000 patient Monte Carlo simulations to determine how well isoniazid doses of between 2.5 and 40 mg/kg/day would achieve or exceed the EC(80). None of the doses examined achieved the EC(80) in ≥90% of children. Doses of 5 mg/kg were universally inferior; doses of 10 to 15 mg/kg/day were adequate only under the very limited circumstances of children who were slow acetylators and had disease limited to pneumonia. Each of the three disease syndromes, acetylation phenotype, and being an infant required different doses to achieve adequate AUC(0-24)/MIC exposures in an acceptable proportion of children. We conclude that current recommended doses for children are likely suboptimal and that isoniazid doses in children are best individualized based on disease process, age, and acetylation status.

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Year:  2010        PMID: 21098246      PMCID: PMC3028779          DOI: 10.1128/AAC.00763-10

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  47 in total

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4.  Role of acid pH and deficient efflux of pyrazinoic acid in unique susceptibility of Mycobacterium tuberculosis to pyrazinamide.

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Journal:  J Bacteriol       Date:  1999-04       Impact factor: 3.490

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Journal:  Clin Biochem       Date:  1996-04       Impact factor: 3.281

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Journal:  J Infect       Date:  2005-04       Impact factor: 6.072

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Journal:  Antimicrob Agents Chemother       Date:  1997-12       Impact factor: 5.191

8.  [Multicenter evaluation of broth microdilution test, BrothMIC MTB, to determine minimum inhibitory concentrations (MICs) of antimicrobial agents for Mycobacterium tuberculosis--evaluation of interlaboratory precision and interpretive compatibility with agar proportion method].

Authors:  N Yamane; S Ichiyama; S Kawahara; Y Iinuma; H Saitoh; M Shimojima; H Udagawa; I Nakasone
Journal:  Rinsho Byori       Date:  1999-08

9.  Pharmacodynamics of a fluoroquinolone antimicrobial agent in a neutropenic rat model of Pseudomonas sepsis.

Authors:  G L Drusano; D E Johnson; M Rosen; H C Standiford
Journal:  Antimicrob Agents Chemother       Date:  1993-03       Impact factor: 5.191

10.  Kinetics of isoniazid transfer into cerebrospinal fluid in patients with tuberculous meningitis.

Authors:  S G Shin; J K Roh; N S Lee; J G Shin; I J Jang; C W Park; H J Myung
Journal:  J Korean Med Sci       Date:  1990-03       Impact factor: 2.153

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5.  Therapy duration and long-term outcomes in extra-pulmonary tuberculosis.

Authors:  Tobias Pusch; Jotam G Pasipanodya; Ronald G Hall; Tawanda Gumbo
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Review 6.  A Combination Regimen Design Program Based on Pharmacodynamic Target Setting for Childhood Tuberculosis: Design Rules for the Playground.

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10.  The Non-Linear Child: Ontogeny, Isoniazid Concentration, and NAT2 Genotype Modulate Enzyme Reaction Kinetics and Metabolism.

Authors:  Zoe Rogers; Hiwot Hiruy; Jotam G Pasipanodya; Chris Mbowane; John Adamson; Lihle Ngotho; Farina Karim; Prakash Jeena; William Bishai; Tawanda Gumbo
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