scholarly journals Population Pharmacokinetics of Rifapentine and Its Primary Desacetyl Metabolite in South African Tuberculosis Patients

2005 ◽  
Vol 49 (11) ◽  
pp. 4429-4436 ◽  
Author(s):  
Grant Langdon ◽  
Justin Wilkins ◽  
Lynn McFadyen ◽  
Helen McIlleron ◽  
Peter Smith ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
South African ◽  
Parent Drug ◽  
Tuberculosis Patient ◽  
Pharmacokinetic Parameters ◽  
Oral Clearance ◽  
Time Data ◽  
Primary Metabolite ◽  
Mixed Effect ◽  
Tuberculosis Patients

ABSTRACT This study was designed to describe the population pharmacokinetics of rifapentine (RFP) and 25-desacetyl RFP in a South African pulmonary tuberculosis patient population. Special reference was made to studying the influence of previous exposure to rifampin (RIF) and the variability in pharmacokinetic parameters between patients and between occasions and the influence of different covariates. Patients were included in the study if they had been receiving first-line antimycobacterial therapy (rifampin, isoniazid, pyrazinamide, and ethambutol) for not less than 4 weeks and not more than 6 weeks and were divided into three RFP dosage groups based on weight: 600 mg, <45 kg; 750 mg, 46 to 55 kg; and 900 mg, >55 kg. Participants received a single oral dose of RFP together with concomitant antimycobacterial agents, excluding RIF, on study days 1 and 5 after they ingested a soup-based meal. The RFP and 25-desacetyl RFP concentration-time data were analyzed by nonlinear mixed-effect modeling using NONMEM. The pharmacokinetics of the parent drug were modeled separately, and the individual pharmacokinetic parameters were used as inputs for the 25-desacetyl RFP pharmacokinetic model. A one-compartment disposition model was found to best describe the data for both the parent and the metabolite, and the metabolite was assumed to be formed only from the central compartment of the parent drug. Prior treatment with RIF did not alter the pharmacokinetics of RFP but appeared to increase the excretion of 25-desacetyl RFP in a nonlinear fashion. The RFP oral clearance and volume of distribution were found to increase by 0.049 liter/h and 0.691 liter, respectively, with a 1-kg increase from the median weight of 50 kg. The oral clearance of 25-desacetyl RFP was found to be 35% lower in female patients. The model developed here describes the population pharmacokinetics of RFP and its primary metabolite in tuberculosis patients and includes the effects of prior administration with RIF and covariate factors.

scholarly journals Population Pharmacokinetics of Rifampin in Pulmonary Tuberculosis Patients, Including a Semimechanistic Model To Describe Variable Absorption

2008 ◽  
Vol 52 (6) ◽  
pp. 2138-2148 ◽  
Author(s):  
Justin J. Wilkins ◽  
Radojka M. Savic ◽  
Mats O. Karlsson ◽  
Grant Langdon ◽  
Helen McIlleron ◽  
...  
Keyword(s):  
Pulmonary Tuberculosis ◽  
Population Pharmacokinetics ◽  
South African ◽  
Transit Time ◽  
Mean Transit Time ◽  
Volume Of Distribution ◽  
Fixed Dose ◽  
Time Data ◽  
Multiple Dosing ◽  
Tuberculosis Patients

ABSTRACT This article describes the population pharmacokinetics of rifampin in South African pulmonary tuberculosis patients. Three datasets containing 2,913 rifampin plasma concentration-time data points, collected from 261 South African pulmonary tuberculosis patients aged 18 to 72 years and weighing 28.5 to 85.5 kg and receiving regular daily treatment that included administration of rifampin (450 to 600 mg) for at least 10 days, were pooled. A compartmental pharmacokinetic model was developed using nonlinear mixed-effects modeling. Variability in the shape of the absorption curve was described using a flexible transit compartment model, in which a delay in the onset of absorption and a gradually changing absorption rate were modeled as the passage of drug through a chain of hypothetical compartments, ultimately reaching the absorption compartment. A previously described implementation was extended to allow its application to multiple-dosing data. The typical population estimate of oral clearance was 19.2 liters·h−1, while the volume of distribution was estimated to be 53.2 liters. Interindividual variability was estimated to be 52.8% for clearance and 43.4% for volume of distribution. Interoccasional variability was estimated for CL/F (22.5%) and mean transit time during absorption (67.9%). The use of single-drug formulations was found to increase both the mean transit time (by 104%) and clearance (by 23.6%) relative to fixed-dose-combination use. A strong correlation between clearance and volume of distribution suggested substantial variability in bioavailability, which could have clinical implications, given the dependence of treatment effectiveness on exposure. The final model successfully described rifampin pharmacokinetics in the population studied and is suitable for simulation in this context.

scholarly journals Population Pharmacokinetics of Arbekacin in Patients Infected with Methicillin-Resistant Staphylococcus aureus

2006 ◽  
Vol 50 (11) ◽  
pp. 3754-3762 ◽  
Author(s):  
Yusuke Tanigawara ◽  
Reiko Sato ◽  
Kunihiko Morita ◽  
Mitsuo Kaku ◽  
Naoki Aikawa ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Population Pharmacokinetics ◽  
Elderly Subjects ◽  
Pharmacokinetic Analysis ◽  
Pharmacokinetic Parameters ◽  
Peripheral Compartment ◽  
Population Pharmacokinetic ◽  
Time Data ◽  
Mixed Effect ◽  
Methicillin Resistant

ABSTRACT Arbekacin, a derivative of dibekacin, is an aminoglycoside developed and widely used in Japan for the treatment of patients infected with methicillin-resistant Staphylococcus aureus (MRSA). The population pharmacokinetics of arbekacin was investigated in the Japanese, using 353 patients infected with MRSA and 50 healthy or renally impaired volunteers. The age of the study population ranged from 8 to 95 years, and weight ranged from 10.8 to 107 kg. In total, 1,581 serum arbekacin concentrations were measured (primarily from routine patient care) and used to perform the present pharmacokinetic analysis. Drug concentration-time data were well described by a two-compartment open model. Factors influencing arbekacin pharmacokinetics were investigated using a nonlinear mixed-effect model analysis. The best-developed model showed that drug clearance (CL) was related to creatinine clearance (CLCR), age, and body weight (WT), as expressed by CL (liter/h) = 0.0319CLCR + (26.5/age) (CLCR < 80 ml/min) and CL (liter/h) = 0.0130 CLCR + 0.0342WT + (26.5/age) (CLCR ≥ 80 ml/min). The volume of distribution for the central and peripheral compartments was different in healthy subjects and infected patients, and this difference was more pronounced among disease types. The elderly subjects (aged 80 years or over) exhibited, on average, a 19% greater volume for the central compartment. The volumes for the peripheral compartment were 50.6 liters in patients with pneumonia and 24.3 liters in patients with sepsis. The population pharmacokinetic parameters of arbekacin obtained here are useful for optimal use of this aminoglycoside in the treatment of MRSA-infected patients.

scholarly journals Population Pharmacokinetics of Ethambutol in South African Tuberculosis Patients

2011 ◽  
Vol 55 (9) ◽  
pp. 4230-4237 ◽  
Author(s):  
Siv Jönsson ◽  
Alistair Davidse ◽  
Justin Wilkins ◽  
Jan-Stefan Van der Walt ◽  
Ulrika S. H. Simonsson ◽  
...  
Keyword(s):  
Renal Function ◽  
Body Weight ◽  
Population Pharmacokinetics ◽  
South African ◽  
Plasma Concentrations ◽  
Spectrometric Method ◽  
Mass Spectrometric Method ◽  
Oral Clearance ◽  
Tuberculosis Patients ◽  
Tandem Mass Spectrometric

ABSTRACTEthambutol, one of four drugs in the first-line antitubercular regimen, is used to protect against rifampin resistance in the event of preexisting resistance to isoniazid. The population pharmacokinetics of ethambutol in South African patients with pulmonary tuberculosis were characterized using nonlinear mixed-effects modeling. Patients from 2 centers were treated with ethambutol (800 to 1,500 mg daily) combined with standard antitubercular medication. Plasma concentrations of ethambutol were measured following multiple doses at steady state and were determined using a validated high-pressure liquid chromatography-tandem mass spectrometric method. The data comprised 189 patients (54% male, 12% HIV positive) weighing 47 kg, on average (range, 29 to 86 kg), and having a mean age of 36 years (range, 16 to 72 years). The estimated creatinine clearance was 79 ml/min (range, 23 to 150 ml/min). A two-compartment model with one transit compartment prior to first-order absorption and allometric scaling by body weight on clearance and volume terms was selected. HIV infection was associated with a 15% reduction in bioavailability. Renal function was not related to ethambutol clearance in this cohort. Interoccasion variability exceeded interindividual variability for oral clearance (coefficient of variation, 36 versus 20%). Typical oral clearance in this analysis (39.9 liters/h for a 50-kg individual) was lower than that previously reported, a finding partly explained by the differences in body weight between the studied populations. In summary, a population model describing the pharmacokinetics of ethambutol in South African tuberculosis patients was developed, but additional studies are needed to characterize the effects of renal function.

Population Pharmacokinetics of Piritramide in Surgical Patients 

1999 ◽  
Vol 90 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Thomas Bouillon ◽  
Daniela Kietzmann ◽  
Rudiger Port ◽  
Ingolf Meineke ◽  
Andreas Hoeft
Keyword(s):  
Population Pharmacokinetics ◽  
Venous Blood ◽  
Compartment Model ◽  
Mixed Effects ◽  
Pharmacokinetic Parameters ◽  
Effect Compartment ◽  
Bolus Administration ◽  
Time Data ◽  
Intermittent Bolus ◽  
Patient Consent

Background Piritramide is a synthetic opioid used for postoperative analgesia in several European countries. The authors present a mixed-effects model of its population pharmacokinetics in patients undergoing surgery. Methods After institutional approval and informed patient consent was obtained, 29 patients who were classified as American Society of Anesthesiologists physical status I or II and aged 21-82 yr were enrolled in the study. They received 0.2 mg/kg piritramide as an intravenous bolus before anesthesia was induced. Central venous blood samples were drawn for as long as 48 h after administration of the drug. The plasma concentration of piritramide was determined by gas chromatography. The concentration-time data were analyzed by mixed-effects modeling. Target-controlled infusions and intermittent bolus regimens were simulated to identify a regimen suitable for patient-controlled analgesia based on population pharmacokinetics and published pharmacodynamic data. Results The pharmacokinetics of piritramide were described adequately by a linear three-compartment model. Patient age and weight were significant covariates. The values of the pharmacokinetic parameters are: V1 = 50.5 [1], V2 = 150 x (1 + 9.32 x 10(-3) x (age - 47 yr)) [l], V3 = 212 x (1 + 6.37 x 10(-3) x (age - 47 yr)) [l], Cl1 = 0.56 x (1 - 6.14 x 10(-3) x (age - 47 yr)) [l/min], Cl2 = 8.25 x (1 + 2.02 x 10(-2) x (Wt - 74 kg)) [l/min], Cl3 = 0.80 [l/min]. The age of 47 yr and the weight of 74 kg refer to the median values for these factors in the patients studied. Rapid distribution, slow distribution, and elimination half-lives for the median patient are 0.05, 1.34, and 10.43 h, respectively. The context-sensitive half-time after a 24-h infusion is predicted at 10.5 h in a 75-yr-old patient compared with 7 h for the median patient. Conclusions Piritramide is distributed extensively and eliminated slowly. The pharmacokinetic profile of the drug allows for intermittent bolus administration even when constant effect compartment concentrations are desirable, e.g., for PLA.

scholarly journals The Population Pharmacokinetics of Rifampicin in Japanese Pulmonary Tuberculosis Patients

Drug Research ◽  
2020 ◽  
Vol 70 (05) ◽  
pp. 199-205
Author(s):  
Takahiro Nishimura ◽  
Haruichi Kohno ◽  
Hideaki Nagai ◽  
Daisuke Maruoka ◽  
Yuichi Koike ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
Japanese Patients ◽  
Morbidity Rate ◽  
Pharmacokinetic Parameters ◽  
Population Pharmacokinetic ◽  
High Morbidity ◽  
Power Model ◽  
Time Data ◽  
Nonlinear Mixed Effects Model ◽  
High Morbidity Rate

AbstractIn Japan, tuberculosis has been recognized as one of the major infections requiring urgent measures because of its high morbidity rate even now especially in elderly people suffering from tuberculosis during the past epidemic and its reactivation. Hence, many Japanese clinicians have made efforts to suppress the onset of tuberculosis and treat it effectively. The objectives of this study are to (1) identify covariate(s) that may explain the variation of rifampicin, which is the key antitubercular agent, under the steady-state by evaluating its population pharmacokinetics and (2) to propose an appropriate dosing method of rifampicin to Japanese patients. For this purpose, serum concentration–time data were obtained from 138 patients receiving rifampicin (300–450 mg) and isoniazid (300–400 mg) every day over 14 days, and analyzed using nonlinear mixed effects model. Thereby, population pharmacokinetic parameters were estimated followed by elucidating relations between the parameters and statistical factors. The analysis adopted one-compartment model including Lag-time by assuming that the absorption process is 0+1st order. The analyses demonstrate that meal affected the bioavailability, primary absorption rate constant, and zero order absorption time in the constructed model. A body weight calculated from the power model was selected as the covariate by the Stepwise Covariate Model method and found to highly affect the clearance in the range from −31.6% to 47.4%. We conclude that the dose in Japanese tuberculous patients can be well estimated by the power model formula and should be taken into consideration when rifampicin is administered.

Zalcitabine Population Pharmacokinetics: Application of Radioimmunoassay

1998 ◽  
Vol 42 (2) ◽  
pp. 409-413 ◽  
Author(s):  
John M. Adams ◽  
Mark J. Shelton ◽  
Ross G. Hewitt ◽  
Mary DeRemer ◽  
Robin DiFrancesco ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
Information Age ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Pharmacokinetic Parameters ◽  
Pharmacokinetic Studies ◽  
Oral Clearance ◽  
Standard Curve ◽  
Immunodeficiency Virus ◽  
Traditional Approaches

ABSTRACT Zalcitabine population pharmacokinetics were evaluated in 44 human immunodeficiency virus-infected patients (39 males and 5 females) in our immunodeficiency clinic. Eighty-one blood samples were collected during routine clinic visits for the measurement of plasma zalcitabine concentrations by radioimmunoassay (1.84 ± 1.24 samples/patient; range, 1 to 6 samples/patient). These data, along with dosing information, age (38.6 ± 7.13 years), sex, weight (79.1 ± 15.0 kg), and estimated creatinine clearance (89.1 ± 21.5 ml/min), were entered into NONMEM to obtain population estimates for zalcitabine pharmacokinetic parameters (4). The standard curve of the radioimmunoassay ranged from 0.5 to 50.0 ng/ml. The observed concentrations of zalcitabine in plasma ranged from 2.01 to 8.57 ng/ml following the administration of doses of either 0.375 or 0.75 mg. A one-compartment model best fit the data. The addition of patient covariates did not improve the basic fit of the model to the data. Oral clearance was determined to be 14.8 liters/h (0.19 liter/h/kg; coefficient of variation [CV] = 23.8%), while the volume of distribution was estimated to be 87.6 liters (1.18 liters/kg; CV = 54.0%). We were also able to obtain individual estimates of oral clearance (range, 8.05 to 19.8 liters/h; 0.11 to 0.30 liter/h/kg) and volume of distribution (range, 49.2 to 161 liters; 0.43 to 1.92 liters/kg) of zalcitabine in these patients with the POSTHOC option in NONMEM. Our value for oral clearance agrees well with other estimates of oral clearance from traditional pharmacokinetic studies of zalcitabine and suggests that population methods may be a reasonable alternative to these traditional approaches for obtaining information on the disposition of zalcitabine.

Variability in the population pharmacokinetics of pyrazinamide in South African tuberculosis patients

2006 ◽  
Vol 62 (9) ◽  
pp. 727-735 ◽  
Author(s):  
Justin J. Wilkins ◽  
Grant Langdon ◽  
Helen McIlleron ◽  
Goonaseelan (Colin) Pillai ◽  
Peter J. Smith ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
South African ◽  
Tuberculosis Patients

scholarly journals Variability in the population pharmacokinetics of pyrazinamide in South African tuberculosis patients

2006 ◽  
Vol 62 (9) ◽  
pp. 779-779
Author(s):  
Justin J. Wilkins ◽  
Grant Langdon ◽  
Helen McIlleron ◽  
Goonaseelan (Colin) Pillai ◽  
Peter J. Smith ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
South African ◽  
Tuberculosis Patients

scholarly journals Population Pharmacokinetics of Ciprofloxacin in Pediatric and Adolescent Patients with Acute Infections

2003 ◽  
Vol 47 (10) ◽  
pp. 3170-3178 ◽  
Author(s):  
S. Payen ◽  
R. Serreau ◽  
A. Munck ◽  
Y. Aujard ◽  
Y. Aigrain ◽  
...  
Keyword(s):  
Population Pharmacokinetics ◽  
Structural Model ◽  
Single Point ◽  
Clinical Status ◽  
Sampling Strategy ◽  
Accurate Estimation ◽  
Pharmacokinetic Parameters ◽  
Treatment Schedule ◽  
Mixed Effect ◽  
Limited Sampling

ABSTRACT The aim of the present study was to characterize the population pharmacokinetics of ciprofloxacin in patients with and without cystic fibrosis ranging in age from 1 day to 24 years and to propose a limited sampling strategy to estimate individual pharmacokinetic parameters. Patients were divided into four groups according to the treatment schedule. They received ciprofloxacin by intravenous infusion (30 min) or by the oral route. The number of samples collected from each patient ranged from 1 to 12. The population parameters were computed for an initial group of 37 patients. The data were analyzed by nonlinear mixed-effect modeling by use of a two-compartment structural model. The interindividual variability in clearance (CL) was partially explained by a dependence on age and the patient's clinical status. In addition, a significant relationship was found between weight and the initial volume of distribution. Eighteen additional patients were used for model validation and evaluation of limited sampling strategies. When ciprofloxacin was administered intravenously, sampling at a single point (12 h after the start of infusion) allowed the precise and accurate estimation of CL and the elimination half-life, as well as the ciprofloxacin concentration at the end of the infusion. It should be noted that to take into account the presence of a lag time after oral administration, a schedule based on two sampling times of 1 and 12 h is needed. The results of this study combine relationships between ciprofloxacin pharmacokinetic parameters and patient covariates that may be useful for dose adjustment and a convenient sampling procedure that can be used for further studies.

scholarly journals Population Pharmacokinetic Analyses of Isoniazid in Tuberculosis Treatment: a Systematic Review

2021 ◽  
Vol 37 (1) ◽  
Author(s):  
Le Anh Tuan ◽  
Bui Son Nhat ◽  
Nguyen Hong Long ◽  
Nguyen Thi Ngan ◽  
Nguyen Thi Lien Huong ◽  
...  
Keyword(s):  
World Health Organization ◽  
Population Pharmacokinetics ◽  
South African ◽  
Antimicrobial Agents ◽  
Compartment Model ◽  
World Health ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Variability ◽  
Tuberculosis Patients ◽  
Health Organization

The aims of this systematic review are to provide knowledge concerning population pharmacokinetics of isoniazid (INH) and to identify factors influencing INH pharmacokinetic variability. Pubmed and Embase databases were systematically searched from inception to July, 2017. Relevant articles from reference lists were also included. All population pharmacokinetic studies of INH written in English, conducted in human (either healthy subjects or pulmonary tuberculosis patients) were included in this review. Ten studies were included in this review. Most studies characterized a two-compartment model with first-order kinetics for INH with a transit-compartment model for absorption suggested. Frequently reported significant predictors for INH clearance is NAT2 acetylator types (slow/intermediate/fast), while weight is a significant covariate for INH volume of distribution (both central and peripheral). In children, enzyme maturation had a profound affect on INH clearance. Keywords: Population pharmacokinetics, Isoniazid. References [1] World Health Organization, Global Tuberculosis Report 2019. https://apps.who.int/iris/bitstream/handle/10665/329368/9789241565714-eng.pdf (accessed 18 December 2019).[2] United Nations, Transforming our world: The 2030 agenda for sustainable development, New York, USA, 2015.[3] K. Takayama, L. Wang, H.L. David, Effect of isoniazid on the in vivo mycolic acid synthesis, cell growth, and viability of Mycobacterium tuberculosis, Antimicrob Agents Chemother 2.1 (1972) 29-35. https://doi.org/10.1128/aac.2.1.29 [4] A. Jindani, V.R. Aber, E. A. Edwards, D. A. Mitchison, The early bactericidal activity of drugs in patients with pulmonary tuberculosis. Am Rev Respir Dis 121(6) (1980) 939-49. https://doi.org/10.1164/arrd.1980.121.6.939 [5] P.R. Donald, The influence of human N-acetyltransferase genotype on the early bactericidal activity of isoniazid. Clin Infect Dis 39(10) (2004) 1425-30. https://doi.org/10.1086/424999 [6] D.A. Mitchison, Basic mechanisms of chemotherapy, Chest 76(6 Suppl) (1979) 771-81. https://doi.org/10.1378/chest.76.6_supplement.771 [7] H. McIlleron et al., Determinants of rifampin, isoniazid, pyrazinamide, and ethambutol pharmacokinetics in a cohort of tuberculosis patients, Antimicrob Agents Chemother 50(4) (2006) 1170-7. https://doi.org/10.1128/aac.50.4.1170-1177.2006 [8] S. Chideya et al., Isoniazid, rifampin, ethambutol, and pyrazinamide pharmacokinetics and treatment outcomes among a predominantly HIV-infected cohort of adults with tuberculosis from Botswana, Clin Infect Dis 48(12) (2009) 1685-94. https://doi.org/10.1086/599040 [9] N. Singh et al., Study of NAT2 gene polymorphisms in an Indian population: association with plasma isoniazid concentration in a cohort of tuberculosis patients. Mol Diagn Ther 13(1) (2009) 49-58. https://doi.org/10.1007/bf03256314 [10] N. Buchanan, C. Eyberg, M.D. Davis, Isoniazid pharmacokinetics in kwashiorkor. S Afr Med J 56(8) (1979) 299-300.[11] U.S. Food and Drug Administration (1999), "Guidance for Industry. Populationpharmacokinetics",Retrieved from http://www.fda.gov/downloads/Drugs/.../Guidances/UCM072137.pdf[12] D. R Mould, R. N. Upton, Basic concepts in population modeling, simulation, and model‐based drug development, CPT: pharmacometrics & systems pharmacology 1(9) (2012) 1-14. https://doi.org/10.1038/psp.2012.4 [13] P. Denti et al., Pharmacokinetics of isoniazid, pyrazinamide, and ethambutol in newly diagnosed pulmonary TB patients in Tanzania, PLoS ONE 10(10) (2015), e0141002. https://doi.org/10.1371/journal.pone.0141002 [14] B. Guiastrennec et al., Suboptimal Antituberculosis Drug Concentrations and Outcomes in Small and HIV-Coinfected Children in India: Recommendations for Dose Modifications, Clin Pharmacol Ther 104(4) (2017), 733-741. https://doi.org/10.1002/cpt.987 [15] M. Kinzig-Schippers et al., Should we use N-acetyltransferase type 2 genotyping to personalize isoniazid doses?, Antimicrobial Agents and Chemotherapy 49(5) (2005), 1733-1738. https://doi.org/10.1128/aac.49.5.1733-1738.2005 [16] J.J. Kiser et al., Isoniazid pharmacokinetics, pharmacodynamics, and dosing in South African infants, Therapeutic Drug Monitoring 34(4) (2012) 446-451. https://doi.org/10.1097/ftd.0b013e31825c4bc3 [17] L. Lalande, Population modeling and simulation study of the pharmacokinetics and antituberculosis pharmacodynamics of isoniazid in lungs, Antimicrobial Agents and Chemotherapy 59(9) (2015) 5181-5189. https://doi.org/10.1128/aac.00462-15 [18] C. Magis-Escurra et al., Population pharmacokinetics and limited sampling strategy for first-line tuberculosis drugs and moxifloxacin, International Journal of Antimicrobial Agents 44(3) (2014) 229-234. https://doi.org/10.1016/j.ijantimicag.2014.04.019 [19] C.A. Peloquin et al., Population pharmacokinetic modeling of isoniazid, rifampin, and pyrazinamide, Antimicrobial Agents and Chemotherapy 41(12) (1997) 2670-2679. https://doi.org/10.1128/aac.41.12.2670 [20] K.Y. Seng et al., Population pharmacokinetic analysis of isoniazid, acetylisoniazid, and isonicotinic acid in healthy volunteers, Antimicrobial Agents and Chemotherapy 59(11) (2015) 6791-6799. https://doi.org/10.1128/aac.01244-15 [21] J.J. Wilkins et al., Variability in the population pharmacokinetics of isoniazid in South African tuberculosis patients, British Journal of Clinical Pharmacology 72(1) (2011) 51-62. https://doi.org/10.1111/j.1365-2125.2011.03940.x [22] S.P. Zvada et al., Population pharmacokinetics of rifampicin, pyrazinamide and isoniazid in children with tuberculosis: In silico evaluation of currently recommended doses, Journal of Antimicrobial Chemotherapy 69(5) (2014) 1339-1349. https://doi.org/10.1093/jac/dkt524 [23] World Health Organization, Guidance for national tuberculosis programmes on the management of tuberculosis in children (No. WHO/HTM/TB/2014.03). World Health Organization, 2014.[24] World Health Organization, & Stop TB Initiative (World Health Organization), Treatment of tuberculosis: guidelines. World Health Organization, 2010.[25] J.S. Starke, S.M, Tuberculosis in: James D. Cherry, Ralph D. Feigin (Eds.), Textbook of Pediatric Infectious Diseases., Saunders: Philadelphia, 1998 pp. 1196-1238. [26] J.G. Pasipanodya, S. Srivastava, T. Gumbo, Meta-analysis of clinical studies supports the pharmacokinetic variability hypothesis for acquired drug resistance and failure of antituberculosis therapy, Clinical Infectious Diseases 55(2) (2012) 169-177. https://doi.org/10.1093/cid/cis353  

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