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Sarkar M, Sarkar J. Therapeutic drug monitoring in tuberculosis. Eur J Clin Pharmacol 2024; 80:1659-1684. [PMID: 39240337 DOI: 10.1007/s00228-024-03749-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 08/26/2024] [Indexed: 09/07/2024]
Abstract
PURPOSE Therapeutic drug monitoring (TDM) is a standard clinical procedure that uses the pharmacokinetic and pharmacodynamic parameters of the drug in the body to determine the optimal dose. The pharmacokinetic variability of the drug(s) is a significant contributor to poor treatment outcomes, including the development of acquired drug resistance. TDM aids in dose optimization and improves outcomes while lessening drug toxicity. TDM is used to manage patients with tuberculosis (TB) who exhibit a slow response to therapy, despite good compliance and drug-susceptible organisms. Additional indications include patients at risk of malabsorption or delayed absorption of TB drugs and patients with drug-drug interaction and drug toxicity, which confirm compliance with therapy. TDM usually requires two blood samples: the 2 h and the 6 h post-dose. This narrative review will discuss the pharmacokinetics and pharmacodynamics of TB drugs, determinants of poor response to therapy, indications of TDM, methods of performing TDM, and its interpretations. METHODS This is a narrative review. We searched PubMed, Embase, and the CINAHL from inception to April 2024. We used the following search terms: tuberculosis, therapeutic drug monitoring, anti-TB drugs, pharmacokinetics, pharmacodynamics, limited sample strategies, diabetes and TB, HIV and TB, and multidrug-resistant TB. All types of articles were selected. RESULTS TDM is beneficial in managing TB, especially in patients with slow responses, drug-resistance TB, recurrent TB, and comorbidities such as diabetes mellitus and human immunodeficiency virus infection. CONCLUSION TDM is beneficial for improving outcomes, reducing the risk of acquired drug resistance, and avoiding side effects.
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Affiliation(s)
- M Sarkar
- Department of Pulmonary Medicine, Indira Gandhi Medical College, Shimla, 171001, Himachal Pradesh, India.
| | - J Sarkar
- MRes Neuroscience, University of Leeds, Leeds, UK
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Chen S, Rao W, Fu L, Liu G, Zhang J, Liao Y, Lv N, Deng G, Yang S, Lin L, Li L, Qu J, Liu S, Zou J. Population Pharmacokinetic Modeling of Pyrazinamide Among Chinese Patients With Drug-Sensitive or Multidrug-Resistant Tuberculosis. Ther Drug Monit 2024:00007691-990000000-00264. [PMID: 39240829 DOI: 10.1097/ftd.0000000000001255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 05/20/2024] [Indexed: 09/08/2024]
Abstract
BACKGROUND Pyrazinamide is used to treat drug-susceptible (DS) and multidrug-resistant (MDR) tuberculosis (TB). This study aimed to characterize the factors associated with the pharmacokinetic parameters of pyrazinamide and evaluate the disposition of the current regimen, which could provide suggestions for adequate dosing strategies for therapeutic targets. METHODS A population pharmacokinetic model of pyrazinamide was developed based on the data from 499 plasma concentrations from 222 Chinese patients diagnosed with DS or MDR TB. Pyrazinamide exposure was best described using a one-compartment model. RESULTS No significant differences were observed in the pharmacokinetic parameters between DS and MDR TB. The final covariate model showed that total body weight was the only significant covariate for apparent clearance, which increased by 0.45 L/h with a 10 kg increase in body weight. A simulation showed that for typical subjects weighing 40-80 kg, a fixed dosage of 1500 mg daily had an area under the concentration-time curve from 0 to 24 hours (AUC0-24) of 389.9-716.0 mg·h/L and peak serum concentrations of the drug (Cmax) of 32.2-44.8 mg/L. CONCLUSIONS Fixed pyrazinamide doses of 1500, 1750, and 2000 mg are recommended for patients weighing 40-70, 70-80, and 80-90 kg, respectively, to achieve the exposure targets of AUC0-24 > 363 mg·h/L or Cmax > 35 mg/L to attain efficacy.
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Affiliation(s)
- Shuyan Chen
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
- Shenzhen Third People's Hospital, Second Hospital Affiliated to Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Shenzhen, China
| | | | - Liang Fu
- Division Two of Pulmonary Diseases Department, Shenzhen Third People's Hospital, Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Shenzhen, China
| | - Guohui Liu
- Pulmonary Diseases Department, Shenzhen Third People's Hospital, Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Shenzhen, China
| | - Jiancong Zhang
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China; and
| | | | - Ning Lv
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China; and
| | - Guofang Deng
- Division Two of Pulmonary Diseases Department, Shenzhen Third People's Hospital, Southern University of Science and Technology, National Clinical Research Center for Infectious Diseases, Shenzhen, China
| | - Shijin Yang
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China; and
| | | | - Lujin Li
- Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiuxin Qu
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China; and
| | | | - Jin Zou
- Department of Clinical Laboratory, Shenzhen Third People's Hospital, National Clinical Research Center for Infectious Diseases, The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, Guangdong Province, China; and
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Bilal M, Ullah S, Jaehde U, Trueck C, Zaremba D, Wachall B, Wargenau M, Scheidel B, Wiesen MHJ, Gazzaz M, Chen C, Büsker S, Fuhr U, Taubert M, Dokos C. Assessment of body mass-related covariates for rifampicin pharmacokinetics in healthy Caucasian volunteers. Eur J Clin Pharmacol 2024; 80:1271-1283. [PMID: 38722350 PMCID: PMC11303472 DOI: 10.1007/s00228-024-03697-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 04/29/2024] [Indexed: 08/07/2024]
Abstract
PURPOSE Currently, body weight-based dosing of rifampicin is recommended. But lately, fat-free mass (FFM) was reported to be superior to body weight (BW). The present evaluation aimed to assess the influence of body mass-related covariates on rifampicin's pharmacokinetics (PK) parameters in more detail using non-linear mixed effects modeling (NLMEM). METHODS Twenty-four healthy Caucasian volunteers were enrolled in a bioequivalence study, each receiving a test and a reference tablet of 600 mg of rifampicin separated by a wash-out period of at least 9 days. Monolix version 2023R1 was used for NLMEM. Monte Carlo simulations (MCS) were performed to visualize the relationship of body size descriptors to the exposure to rifampicin. RESULTS A one-compartment model with nonlinear (Michaelis-Menten) elimination and zero-order absorption kinetics with a lag time best described the data. The covariate model including fat-free mass (FFM) on volume of distribution (V/F) and on maximum elimination rate (Vmax/F) lowered the objective function value (OFV) by 56.4. The second-best covariate model of sex on V/F and Vmax/F and BW on V/F reduced the OFV by 51.2. The decrease in unexplained inter-individual variability on Vmax/F in both covariate models was similar. For a given dose, MCS showed lower exposure to rifampicin with higher FFM and accordingly in males compared to females with the same BW and body height. CONCLUSION Our results indicate that beyond BW, body composition as reflected by FFM could also be relevant for optimized dosing of rifampicin. This assumption needs to be studied further in patients treated with rifampicin.
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Affiliation(s)
- Muhammad Bilal
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Bonn, Germany.
| | - Sami Ullah
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Ulrich Jaehde
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Bonn, Bonn, Germany
| | - Christina Trueck
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Dario Zaremba
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Bertil Wachall
- InfectoPharm Arzneimittel Und Consilium GmbH, 64646, Heppenheim, Germany
| | | | | | - Martin H J Wiesen
- Pharmacology at the Laboratory Diagnostics Centre, Faculty of Medicine, University Hospital Cologne, University of Cologne, Therapeutic Drug Monitoring, Cologne, Germany
| | - Malaz Gazzaz
- Pharmaceutical Practices Department, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Chunli Chen
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin, 150030, People's Republic of China
| | - Sören Büsker
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Uwe Fuhr
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Max Taubert
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Charalambos Dokos
- Department I of Pharmacology, Center for Pharmacology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Wijk M, Gausi K, Malatesta S, Weber SE, Court R, Myers B, Carney T, Parry CDH, Horsburgh CR, White LF, Wiesner L, Warren RM, Uren C, McIlleron H, Kloprogge F, Denti P, Jacobson KR. The impact of alcohol and illicit substance use on the pharmacokinetics of first-line TB drugs. J Antimicrob Chemother 2024; 79:2022-2030. [PMID: 38985541 PMCID: PMC11290884 DOI: 10.1093/jac/dkae206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 06/03/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND In South Africa, an estimated 11% of the population have high alcohol use, a major risk factor for TB. Alcohol and other substance use are also associated with poor treatment response, with a potential mechanism being altered TB drug pharmacokinetics. OBJECTIVES To investigate the impact of alcohol and illicit substance use on the pharmacokinetics of first-line TB drugs in participants with pulmonary TB. METHODS We prospectively enrolled participants ≥15 years old, without HIV, and initiating drug-susceptible TB treatment in Worcester, South Africa. Alcohol use was measured via self-report and blood biomarkers. Other illicit substances were captured through a urine drug test. Plasma samples were drawn 1 month into treatment pre-dose, and 1.5, 3, 5 and 8 h post-dose. Non-linear mixed-effects modelling was used to describe the pharmacokinetics of rifampicin, isoniazid, pyrazinamide and ethambutol. Alcohol and drug use were tested as covariates. RESULTS The study included 104 participants, of whom 70% were male, with a median age of 37 years (IQR 27-48). Alcohol use was high, with 42% and 28% of participants having moderate and high alcohol use, respectively. Rifampicin and isoniazid had slightly lower pharmacokinetics compared with previous reports, whereas pyrazinamide and ethambutol were consistent. No significant alcohol use effect was detected, other than 13% higher ethambutol clearance in participants with high alcohol use. Methaqualone use reduced rifampicin bioavailability by 19%. CONCLUSION No clinically relevant effect of alcohol use was observed on the pharmacokinetics of first-line TB drugs, suggesting that poor treatment outcome is unlikely due to pharmacokinetic alterations. That methaqualone reduced rifampicin means dose adjustment may be beneficial.
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Affiliation(s)
- Marie Wijk
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kamunkhwala Gausi
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Samantha Malatesta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sarah E Weber
- Section of Infectious Diseases, Boston University School of Medicine and Boston Medical Centre, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Richard Court
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Bronwyn Myers
- Curtin enAble Institute, Curtin University, WA, Australia
- Mental Health, Alcohol, Substance Use and Tobacco Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Rondebosch, South Africa
| | - Tara Carney
- Mental Health, Alcohol, Substance Use and Tobacco Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Rondebosch, South Africa
| | - Charles D H Parry
- Mental Health, Alcohol, Substance Use and Tobacco Research Unit, South African Medical Research Council, Cape Town, South Africa
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | - C Robert Horsburgh
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Laura F White
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Lubbe Wiesner
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Robin M Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Caitlin Uren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa
| | - Helen McIlleron
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Frank Kloprogge
- Institute for Global Health, University College London, London, UK
| | - Paolo Denti
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Karen R Jacobson
- Section of Infectious Diseases, Boston University School of Medicine and Boston Medical Centre, Boston, MA, USA
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Tang BH, Zhang XF, Fu SM, Yao BF, Zhang W, Wu YE, Zheng Y, Zhou Y, van den Anker J, Huang HR, Hao GX, Zhao W. Machine Learning Approach in Dosage Individualization of Isoniazid for Tuberculosis. Clin Pharmacokinet 2024; 63:1055-1063. [PMID: 38990504 DOI: 10.1007/s40262-024-01400-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/01/2024] [Indexed: 07/12/2024]
Abstract
INTRODUCTION Isoniazid is a first-line antituberculosis agent with high variability, which would profit from individualized dosing. Concentrations of isoniazid at 2 h (C2h), as an indicator of safety and efficacy, are important for optimizing therapy. OBJECTIVE The objective of this study was to establish machine learning (ML) models to predict the C2h, that can be used for establishing an individualized dosing regimen in clinical practice. METHODS Published population pharmacokinetic (PopPK) models for adults were searched based on PubMed and ultimately four reliable models were selected for simulating individual C2h datasets under different conditions (demographics, genotype, ethnicity, etc.). Machine learning models were trained on simulated C2h obtained from the four PopPK models. Five different algorithms were used for ML model building to predict C2h. Real-world data were used for predictive performance evaluations. Virtual trials were used to compare ML-optimized doses with PopPK model-optimized doses. RESULTS Categorical boosting (CatBoost) exhibited the highest prediction ability. Target C2h can be predicted using the ML model combined with the dosing regimen and three covariates (N-acetyltransferase 2 [NAT2] genotypes, weight and race [Asians and Africans]). Real-world data validation results showed that the ML model can achieve an overall prediction accuracy of 93.4%. Using the final ML model, the mean absolute prediction error value decreased by 45.7% relative to the average of PopPK models. Using the ML-optimized dosing regimen, the probability of target attainment increased by 43.7% relative to the PopPK model-optimized dosing regimens. CONCLUSION Machine learning models were developed with great predictive performance, which can be used to determine the individualized initial dose of isoniazid in adult patients.
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Affiliation(s)
- Bo-Hao Tang
- Department of Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xin-Fang Zhang
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shu-Meng Fu
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bu-Fan Yao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Zhang
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yue-E Wu
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yi Zheng
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yue Zhou
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - John van den Anker
- Division of Clinical Pharmacology, Children's National Hospital, Washington, DC, USA
- Departments of Pediatrics, Pharmacology and Physiology, Genomics and Precision Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA
- Department of Pediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland
| | - Hai-Rong Huang
- National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-Resistant Tuberculosis, Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing, China
| | - Guo-Xiang Hao
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei Zhao
- Department of Pharmacy, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
- Department of Clinical Pharmacy, Institute of Clinical Pharmacology, Key Laboratory of Chemical Biology (Ministry of Education), NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China.
- NMPA Key Laboratory for Clinical Research and Evaluation of Innovative Drug, Qilu Hospital of Shandong University, Shandong University, Jinan, China.
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Abdullah, Behera MR, Kaul A, Agarwal V, Prasad P, Prasad N, Bhadauria DS, Patel MR, Sharma H. The Unusual Adverse Effects of Antituberculosis Therapy in Kidney Patients. Int J Mycobacteriol 2024; 13:183-190. [PMID: 38916390 DOI: 10.4103/ijmy.ijmy_33_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 04/12/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) patients are at a high risk of tuberculosis (TB), with a relative risk of developing active TB of 10%-25%. Similarly, glomerular disease increases the risk of TB due to diminished glomerular filtration rate, proteinuria, and immunosuppression use. Further, the first-line anti-TB drugs are associated with acute kidney injury (AKI) even in patients with normal kidney functions. METHODS We retrospectively identified 10 patients hospitalized with unusual adverse effects of antituberculosis therapy (ATT) from 2013 to 2022. RESULTS We found three cases of AKI caused by rifampicin: acute interstitial nephritis, crescentic glomerulonephritis, and heme pigment-induced acute tubular necrosis. We observed rifampicin-induced accelerated hypertension and thrombocytopenia in two patients on maintenance hemodialysis. Isoniazid caused pancreatitis and cerebellitis in two CKD patients, respectively. In a CKD patient, we detected acute gout secondary to pyrazinamide-induced reduced uric acid excretion. We also observed cases of drug rash with eosinophilia and systemic symptoms and hypercalcemia due to immune reconstitution inflammatory syndrome in patients with glomerular disease on ATT. Immediate discontinuation of the offending drug, along with specific and supportive management, led to a recovery in all cases. CONCLUSION The adverse effects of ATT may be unusually severe and varied in kidney patients due to decreased renal elimination. Early recognition of these adverse effects and timely discontinuation of the offending drug is essential to limit morbidity and mortality.
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Affiliation(s)
- Abdullah
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Manas Ranjan Behera
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Anupma Kaul
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Vikas Agarwal
- Department of Clinical Immunology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Pallavi Prasad
- Department of Pathology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Narayan Prasad
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Dharmendra Singh Bhadauria
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Manas Ranjan Patel
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
| | - Harshita Sharma
- Department of Nephrology and Renal Transplantation, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India
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Abdelgawad N, Chirehwa M, Schutz C, Barr D, Ward A, Janssen S, Burton R, Wilkinson RJ, Shey M, Wiesner L, McIlleron H, Maartens G, Meintjes G, Denti P. Pharmacokinetics of antitubercular drugs in patients hospitalized with HIV-associated tuberculosis: a population modeling analysis. Wellcome Open Res 2024; 7:72. [PMID: 37008250 PMCID: PMC10050909 DOI: 10.12688/wellcomeopenres.17660.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 03/05/2024] Open
Abstract
Background Early mortality among hospitalized HIV-associated tuberculosis (TB/HIV) patients is high despite treatment. The pharmacokinetics of rifampicin, isoniazid, and pyrazinamide were investigated in hospitalized TB/HIV patients and a cohort of outpatients with TB (with or without HIV) to determine whether drug exposures differed between groups. Methods Standard first-line TB treatment was given daily as per national guidelines, which consisted of oral 4-drug fixed-dose combination tablets containing 150 mg rifampicin, 75 mg isoniazid, 400 mg pyrazinamide, and 275 mg ethambutol. Plasma samples were drawn on the 3rd day of treatment over eight hours post-dose. Rifampicin, isoniazid, and pyrazinamide in plasma were quantified and NONMEM ® was used to analyze the data. Results Data from 60 hospitalized patients (11 of whom died within 12 weeks of starting treatment) and 48 outpatients were available. Median (range) weight and age were 56 (35 - 88) kg, and 37 (19 - 77) years, respectively. Bioavailability and clearance of the three drugs were similar between TB/HIV hospitalized and TB outpatients. However, rifampicin's absorption was slower in hospitalized patients than in outpatients; mean absorption time was 49.9% and 154% more in hospitalized survivors and hospitalized deaths, respectively, than in outpatients. Higher levels of conjugated bilirubin correlated with lower rifampicin clearance. Isoniazid's clearance estimates were 25.5 L/h for fast metabolizers and 9.76 L/h for slow metabolizers. Pyrazinamide's clearance was more variable among hospitalized patients. The variability in clearance among patients was 1.70 and 3.56 times more for hospitalized survivors and hospitalized deaths, respectively, than outpatients. Conclusions We showed that the pharmacokinetics of first-line TB drugs are not substantially different between hospitalized TB/HIV patients and TB (with or without HIV) outpatients. Hospitalized patients do not seem to be underexposed compared to their outpatient counterparts, as well as hospitalized patients who survived vs who died within 12 weeks of hospitalization.
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Affiliation(s)
- Noha Abdelgawad
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Maxwell Chirehwa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Charlotte Schutz
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - David Barr
- Wellcome Trust Liverpool Glasgow Centre for Global Health Research, University of Liverpool, Liverpool, L3 5QA, UK
| | - Amy Ward
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Saskia Janssen
- Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, 19268, The Netherlands
| | - Rosie Burton
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Khayelitsha Hospital, Department of Medicine, Khayelitsha, 7784, South Africa
| | - Robert J. Wilkinson
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Infectious Diseases, Imperial College London, London, W12 0NN, UK
- The Francis Crick Institute, London, NW1 1AT, UK
| | - Muki Shey
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Graeme Meintjes
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
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Parameshwaraiah SM, Shivakumar R, Xi Z, Siddappa TP, Ravish A, Mohan A, Poonacha LK, Uppar PM, Basappa S, Dukanya D, Gaonkar SL, Kemparaju K, Lobie PE, Pandey V, Basappa B. Development of Novel Indazolyl-Acyl Hydrazones as Antioxidant and Anticancer Agents that Target VEGFR-2 in Human Breast Cancer Cells. Chem Biodivers 2024; 21:e202301950. [PMID: 38258537 DOI: 10.1002/cbdv.202301950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
The increased expression of VEGFR-2 in a variety of cancer cells promotes a cascade of cellular responses that improve cell survival, growth, and proliferation. Heterocycles are common structural elements in medicinal chemistry and commercially available medications that target several biological pathways and induce cell death in cancer cells. Herein, the evaluation of indazolyl-acyl hydrazones as antioxidant and anticancer agents is reported. Compounds 4e and 4j showed inhibitory activity in free radical scavenging assays (DPPH and FRPA). The titled compounds were employed in cell viability studies using MCF-7 cells, and it was observed that compounds 4f and 4j exhibited IC50 values 15.83 μM and 5.72 μM, respectively. In silico docking revealed the favorable binding energies of -7.30 kcal/mol and -8.04 kcal/mol for these compounds towards Vascular Endothelial Growth Factor Receptor-2 (VEGFR-2), respectively. In conclusion, compounds with antioxidant activity and that target VEGFR-2 in breast cancer cells are reported.
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Affiliation(s)
- Sindhu M Parameshwaraiah
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Rashmi Shivakumar
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Zhang Xi
- Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Tejaswini P Siddappa
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Akshay Ravish
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Arunkumar Mohan
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Lisha K Poonacha
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Pradeep M Uppar
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Shreeja Basappa
- Department of Chemistry, BITS-Pilani, Hyderabad Campus, Jawahar Nagar, Medchal, 500078, India
| | - Dukanya Dukanya
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
| | - Santhosh L Gaonkar
- Manipal Academy of Higher Education, Department of Chemistry, Manipal Institute of Technology, Manipal, 576104, India
| | - Kempaiah Kemparaju
- University of Mysore, Manasagangotri, Department of Studies in Biochemistry, Mysore, 570006, India
| | - Peter E Lobie
- Shenzhen Bay Laboratory, Shenzhen, 518055, China
- Tsinghua University, Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Shenzhen, 518055, China
- Tsinghua University, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, 518055, China
| | - Vijay Pandey
- Tsinghua University, Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Shenzhen, 518055, China
- Tsinghua University, Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, 518055, China
| | - Basappa Basappa
- University of Mysore, Manasagangotri, Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, Mysore, 570006, India
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9
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Maitre T, Baulard A, Aubry A, Veziris N. Optimizing the use of current antituberculosis drugs to overcome drug resistance in Mycobacterium tuberculosis. Infect Dis Now 2024; 54:104807. [PMID: 37839674 DOI: 10.1016/j.idnow.2023.104807] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 10/17/2023]
Abstract
Antibiotic-resistant tuberculosis continues to be one of the major threats to global tuberculosis control. After a hiatus of over 40 years in antituberculosis drug development, the last decade has seen a resurgence of research, yielding a number of promising compounds in the tuberculosis drug pipeline, with some that are now game changers in the treatment of MDRTB. Despite this progress, there are still obstacles restricting the use of these molecules as first-line drugs. The quick appearance of bacteria resistant to these new treatments highlights a continuing need to fuel the discovery and development of new molecules. With this in mind, alternative strategies aimed at optimizing the utilization of existing antituberculosis agents are currently under evaluation. They are focused on enhancing the efficacy of antibiotics against their bacterial targets, primarily by augmenting the quantity of antibiotic that engages with these targets. This objective can be achieved through two primary approaches: (1) Provided that toxicity concerns are not a limiting factor, increased dosing is a viable avenue, as demonstrated by rifampicin, isoniazid, and fluoroquinolones, for which escalated dosing has been effective; and (2) Employing enhancers such as drug activator boosters (ethionamide), efflux pump inhibitors, or hydrolytic enzyme inhibitors (kanamycin) can elevate the concentration of antibiotics in bacterial cells. These strategies offer the potential to mitigate antibiotic obsolescence and complement the discovery of new antibiotics.
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Affiliation(s)
- Thomas Maitre
- Sorbonne Université, Centre d'Immunologie et des Maladies Infectieuses (Cimi-Paris), UMR 1135, Paris, France; Service de Pneumologie et d'Oncologie Thoracique, Centre constitutif maladies rares, Hôpital Tenon, AP-HP, Sorbonne-Université, Paris, France.
| | - Alain Baulard
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Alexandra Aubry
- Sorbonne Université, Centre d'Immunologie et des Maladies Infectieuses (Cimi-Paris), UMR 1135, Paris, France; AP-HP, Sorbonne-Universite, Hôpital Pitié Salpêtrière, Laboratoire de Bactériologie-Hygiene, Centre National de Référence des Mycobactéries, Paris France
| | - Nicolas Veziris
- Sorbonne Université, Centre d'Immunologie et des Maladies Infectieuses (Cimi-Paris), UMR 1135, Paris, France; AP-HP, Sorbonne-Université, Hôpital Saint-Antoine, Département de Bactériologie, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Hôpital Pitié-Salpêtrière, Paris, France
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10
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Van Schalkwyk M, Bekker A, Decloedt E, Wang J, Theron GB, Cotton MF, Eke AC, Cressey TR, Shapiro DE, Bacon K, Knowles K, George K, Browning R, Chakhtoura N, Rungruengthanakit K, Wiesner L, Capparelli EV, Stek AM, Mirochnick M, Best BM. Pharmacokinetics and safety of first-line tuberculosis drugs rifampin, isoniazid, ethambutol, and pyrazinamide during pregnancy and postpartum: results from IMPAACT P1026s. Antimicrob Agents Chemother 2023; 67:e0073723. [PMID: 37882552 PMCID: PMC10648924 DOI: 10.1128/aac.00737-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/14/2023] [Indexed: 10/27/2023] Open
Abstract
Physiological changes during pregnancy may alter the pharmacokinetics (PK) of antituberculosis drugs. The International Maternal Pediatric Adolescent AIDS Clinical Trials Network P1026s was a multicenter, phase IV, observational, prospective PK and safety study of antiretroviral and antituberculosis drugs administered as part of clinical care in pregnant persons living with and without HIV. We assessed the effects of pregnancy on rifampin, isoniazid, ethambutol, and pyrazinamide PK in pregnant and postpartum (PP) persons without HIV treated for drug-susceptible tuberculosis disease. Daily antituberculosis treatment was prescribed following World Health Organization-recommended weight-band dosing guidelines. Steady-state 12-hour PK profiles of rifampin, isoniazid, ethambutol, and pyrazinamide were performed during second trimester (2T), third trimester (3T), and 2-8 of weeks PP. PK parameters were characterized using noncompartmental analysis, and comparisons were made using geometric mean ratios (GMRs) with 90% confidence intervals (CI). Twenty-seven participants were included: 11 African, 9 Asian, 3 Hispanic, and 4 mixed descent. PK data were available for 17, 21, and 14 participants in 2T, 3T, and PP, respectively. Rifampin and pyrazinamide AUC0-24 and C max in pregnancy were comparable to PP with the GMR between 0.80 and 1.25. Compared to PP, isoniazid AUC0-24 was 25% lower and C max was 23% lower in 3T. Ethambutol AUC0-24 was 39% lower in 3T but limited by a low PP sample size. In summary, isoniazid and ethambutol concentrations were lower during pregnancy compared to PP concentrations, while rifampin and pyrazinamide concentrations were similar. However, the median AUC0-24 for rifampin, isoniazid, and pyrazinamide met the therapeutic targets. The clinical impact of lower isoniazid and ethambutol exposure during pregnancy needs to be determined.
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Affiliation(s)
- Marije Van Schalkwyk
- Division of Adult Infectious Diseases, Department of Medicine, Family Centre for Research with Ubuntu, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Adrie Bekker
- Department of Pediatrics and Child Health, Family Centre for Research with Ubuntu, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Eric Decloedt
- Division of Clinical Pharmacology, Department of Medicine, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Jiajia Wang
- Department of Biostatistics, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Gerhard B. Theron
- Department of Obstetrics and Gynecology, Stellenbosch University, Cape Town, South Africa
| | - Mark F. Cotton
- Department of Pediatrics and Child Health, Family Centre for Research with Ubuntu, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
| | - Ahizechukwu C. Eke
- Division of Maternal Fetal Medicine and Clinical Pharmacology, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Tim R. Cressey
- AMS-PHPT Research Collaboration, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
| | - David E. Shapiro
- Department of Biostatistics, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kira Bacon
- Frontier Science Foundation, Amherst, New York, USA
| | | | | | - Renee Browning
- Division of AIDS, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
| | - Nahida Chakhtoura
- Maternal and Pediatric Infectious Disease Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, Maryland, USA
| | | | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Edmund V. Capparelli
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California, USA
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
| | - Alice M. Stek
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles, California, USA
| | - Mark Mirochnick
- Division of Neonatology, Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - Brookie M. Best
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California, USA
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
| | - on behalf of the IMPAACT P1026s Protocol Team
- Division of Adult Infectious Diseases, Department of Medicine, Family Centre for Research with Ubuntu, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
- Department of Pediatrics and Child Health, Family Centre for Research with Ubuntu, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
- Division of Clinical Pharmacology, Department of Medicine, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa
- Department of Biostatistics, Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Obstetrics and Gynecology, Stellenbosch University, Cape Town, South Africa
- Division of Maternal Fetal Medicine and Clinical Pharmacology, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- AMS-PHPT Research Collaboration, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, Thailand
- Frontier Science Foundation, Amherst, New York, USA
- FHI 360, Durham, North Carolina, USA
- Division of AIDS, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA
- Maternal and Pediatric Infectious Disease Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Bethesda, Maryland, USA
- Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California, USA
- Department of Pediatrics, School of Medicine, University of California, San Diego, California, USA
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles, California, USA
- Division of Neonatology, Department of Pediatrics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
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11
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Nair A, Greeny A, Nandan A, Sah RK, Jose A, Dyawanapelly S, Junnuthula V, K V A, Sadanandan P. Advanced drug delivery and therapeutic strategies for tuberculosis treatment. J Nanobiotechnology 2023; 21:414. [PMID: 37946240 PMCID: PMC10634178 DOI: 10.1186/s12951-023-02156-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023] Open
Abstract
Tuberculosis (TB) remains a significant global health challenge, necessitating innovative approaches for effective treatment. Conventional TB therapy encounters several limitations, including extended treatment duration, drug resistance, patient noncompliance, poor bioavailability, and suboptimal targeting. Advanced drug delivery strategies have emerged as a promising approach to address these challenges. They have the potential to enhance therapeutic outcomes and improve TB patient compliance by providing benefits such as multiple drug encapsulation, sustained release, targeted delivery, reduced dosing frequency, and minimal side effects. This review examines the current landscape of drug delivery strategies for effective TB management, specifically highlighting lipid nanoparticles, polymer nanoparticles, inorganic nanoparticles, emulsion-based systems, carbon nanotubes, graphene, and hydrogels as promising approaches. Furthermore, emerging therapeutic strategies like targeted therapy, long-acting therapeutics, extrapulmonary therapy, phototherapy, and immunotherapy are emphasized. The review also discusses the future trajectory and challenges of developing drug delivery systems for TB. In conclusion, nanomedicine has made substantial progress in addressing the challenges posed by conventional TB drugs. Moreover, by harnessing the unique targeting abilities, extended duration of action, and specificity of advanced therapeutics, innovative solutions are offered that have the potential to revolutionize TB therapy, thereby enhancing treatment outcomes and patient compliance.
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Affiliation(s)
- Ayushi Nair
- Department of Pharmaceutics, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India
| | - Alosh Greeny
- Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India
| | - Amritasree Nandan
- Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India
| | - Ranjay Kumar Sah
- Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India
| | - Anju Jose
- Department of Pharmacology, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India
| | - Sathish Dyawanapelly
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai, 400019, India
| | | | - Athira K V
- Department of Pharmacology, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India.
| | - Prashant Sadanandan
- Department of Pharmaceutical Chemistry, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, AIMS Health Sciences Campus, Kochi, 682 041, Kerala, India.
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12
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Cheng L, Luo M, Guo Y, Fan Y, Wang P, Zhou G, Qin S, Weng B, Li P, Liu Z, Liu S. Correlations among the plasma concentrations of first-line anti-tuberculosis drugs and the physiological parameters influencing concentrations. Front Pharmacol 2023; 14:1248331. [PMID: 37869746 PMCID: PMC10587680 DOI: 10.3389/fphar.2023.1248331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/25/2023] [Indexed: 10/24/2023] Open
Abstract
Background: The plasma concentrations of the four most commonly used first-line anti-tuberculosis (TB) drugs, isoniazid (INH), rifampicin (RMP), ethambutol (EMB), and pyrazinamide (PZA), are often not within the therapeutic range. Insufficient drug exposure could lead to drug resistance and treatment failure, while excessive drug levels may lead to adverse reactions. The purpose of this study was to identify the physiological parameters influencing anti-TB drug concentrations. Methods: A retrospective cohort study was conducted. The 2-h plasma concentrations of the four drugs were measured by using the high-performance liquid chromatography-tandem mass spectrometry method. Results: A total of 317 patients were included in the study. The proportions of patients with INH, RMP, EMB, and PZA concentrations within the therapeutic range were 24.3%, 31.5%, 27.8%, and 18.6%, respectively. There were positive associations between the concentrations of INH and PZA and RMP and EMB, but negative associations were observed between the concentrations of INH and RMP, INH and EMB, RMP and PZA, and EMB and PZA. In the multivariate analysis, the influencing factors of the INH concentration were the PZA concentration, total bile acid (TBA), serum potassium, dose, direct bilirubin, prealbumin (PA), and albumin; those of the RMP concentration were PZA and EMB concentrations, weight, α-l-fucosidase (AFU), drinking, and dose; those of the EMB concentration were the RMP and PZA concentrations, creatinine, TBA and indirect bilirubin; and those of the PZA concentration were INH, RMP and EMB concentrations, sex, weight, uric acid and drinking. Conclusion: The complex correlations between the concentrations of the four first-line anti-TB drugs lead to a major challenge in dose adjustment to maintain all drugs within the therapeutic window. Levels of TBA, PA, AFU, and serum potassium should also be considered when adjusting the dose of the four drugs.
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Affiliation(s)
- Lin Cheng
- Department of Pharmacy, the First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China
| | - Ming Luo
- Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Yan Guo
- Department of Infectious Diseases, the First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China
| | - Yunfan Fan
- Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Pengsen Wang
- Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Gang Zhou
- Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Shiwei Qin
- Department of Pharmacy, the First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China
| | - Bangbi Weng
- Department of Pharmacy, the First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China
| | - Peibo Li
- Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
| | - Zhirui Liu
- Department of Pharmacy, the First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing, China
| | - Songtao Liu
- Chongqing Public Health Medical Center, Southwest University Public Health Hospital, Chongqing, China
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13
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Chen RH, Michael T, Kuhlin J, Schön T, Stocker S, Alffenaar JWC. Is there a need to optimise pyrazinamide doses in patients with tuberculosis? A systematic review. Int J Antimicrob Agents 2023; 62:106914. [PMID: 37419292 DOI: 10.1016/j.ijantimicag.2023.106914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 06/09/2023] [Accepted: 06/30/2023] [Indexed: 07/09/2023]
Abstract
Pyrazinamide (PZA) is a first-line antituberculosis drug with potent sterilising activity. Variability in drug exposure may translate into suboptimal treatment responses. This systematic review, conducted according to PRISMA guidelines, aimed to evaluate the concentration-effect relationship. In vitro/in vivo studies had to contain information on the infection model, PZA dose and concentration, and microbiological outcome. Human studies had to present information on PZA dose, measures of drug exposure and maximum concentration, and microbiological response parameter or overall treatment outcome. A total of 34 studies were assessed, including in vitro (n = 2), in vivo (n = 3) and clinical studies (n = 29). Intracellular and extracellular models demonstrated a direct correlation between PZA dose of 15-50 mg/kg/day and reduction in bacterial count between 0.50-27.7 log10 CFU/mL. Consistent with this, higher PZA doses (>150 mg/kg) were associated with a greater reduction in bacterial burden in BALB/c mice models. Human pharmacokinetic studies displayed a linear positive correlation between PZA dose (i.e. 21.4-35.7 mg/kg/day) and drug exposure (AUC range 220.6-514.5 mg·h/L). Additionally, human studies confirmed a dose-effect relationship, with an increased 2-month sputum culture conversion rate at AUC/MIC targets of 8.4-11.3 with higher exposure/susceptibility ratios leading to greater efficacy. A 5-fold variability in AUC was observed at PZA dose of 25 mg/kg. A direct concentration-effect relationship and increased treatment efficacy with higher PZA exposure to susceptibility ratios was observed. Taking into account variability in drug exposure and treatment response, further studies on dose optimisation are justified.
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Affiliation(s)
- Ricky Hao Chen
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Toni Michael
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Johanna Kuhlin
- Karolinska Institutet, Department of Medicine Solna, Division of Infectious Diseases, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Thomas Schön
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden; Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden; Department of Infectious Diseases, Kalmar County Hospital, Linköping University, Kalmar, Sweden
| | - Sophie Stocker
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Clinical Pharmacology & Toxicology, St Vincent's Hospital, Sydney, NSW, Australia; School of Clinical Medicine, St Vincent's Healthcare Clinical Campus, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW, Australia; Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia
| | - Jan-Willem C Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Westmead Hospital, Sydney, NSW, Australia; Sydney Institute for Infectious Diseases, University of Sydney, Sydney, NSW, Australia.
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14
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Sileshi T, Telele NF, Burkley V, Makonnen E, Aklillu E. Correlation of N-acetyltransferase 2 genotype and acetylation status with plasma isoniazid concentration and its metabolic ratio in ethiopian tuberculosis patients. Sci Rep 2023; 13:11438. [PMID: 37454203 PMCID: PMC10349800 DOI: 10.1038/s41598-023-38716-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 07/13/2023] [Indexed: 07/18/2023] Open
Abstract
Unfavorable treatment outcomes for tuberculosis (TB) treatment might result from altered plasma exposure to antitubercular drugs in TB patients. The present study investigated the distribution of the N-Acetyltransferase 2 (NAT2) genotype, isoniazid acetylation status, genotype-phenotype concordance of NAT2, and isoniazid plasma exposure among Ethiopian tuberculosis patients. Blood samples were collected from newly diagnosed TB patients receiving a fixed dose combination of first-line antitubercular drugs daily. Genotyping of NAT2 was done using TaqMan drug metabolism assay. Isoniazid and its metabolite concentration were determined using validated liquid chromatography-tandem mass spectrometry (LC-MS/MS). A total of 120 patients (63 male and 57 female) were enrolled in this study. The mean daily dose of isoniazid was 4.71 mg/kg. The frequency of slow, intermediate, and fast NAT2 acetylators genotypes were 74.2%, 22.4%, and 3.3% respectively. The overall median isoniazid maximum plasma concentration (Cmax) was 4.77 µg/mL and the AUC0-7 h was 11.21 µg.h/mL. The median Cmax in slow, intermediate, and fast acetylators were 5.65, 3.44, and 2.47 μg/mL, respectively. The median AUC0-7 h hour in slow, intermediate, and fast acetylators were 13.1, 6.086, and 3.73 mg•h/L, respectively. The majority (87.5%) of the study participants achieved isoniazid Cmax of above 3 µg/mL, which is considered a lower limit for a favorable treatment outcome. There is 85% concordance between the NAT2 genotype and acetylation phenotypes. NAT2 genotype, female sex, and dose were independent predictors of Cmax and AUC0-7 h (p < 0.001). Our finding revealed that there is a high frequency of slow NAT2 genotypes. The plasma Cmax of isoniazid was higher in the female and slow acetylators genotype group. The overall target plasma isoniazid concentrations in Ethiopian tuberculosis patients were achieved in the majority of the patients. Therefore, it is important to monitor adverse drug reactions and the use of a higher dose of isoniazid should be closely monitored.
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Affiliation(s)
- Tesemma Sileshi
- Department of Pharmacy, Ambo University, Ambo, Ethiopia.
- Department of Pharmacology and Clinical Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Nigus Fikrie Telele
- Department of Laboratory Medicines, Karolinska Institutet, Stockholm, Sweden
| | - Victoria Burkley
- Department of Laboratory Medicines, Karolinska Institutet, Stockholm, Sweden
| | - Eyasu Makonnen
- Department of Pharmacology and Clinical Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia
- Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), Addis Ababa University, Addis Ababa, Ethiopia
| | - Eleni Aklillu
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
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15
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Beraldi-Magalhaes F, Parker SL, Sanches C, Garcia LS, Souza Carvalho BK, Costa AA, Fachi MM, de Liz MV, de Souza AB, Safe IP, Pontarolo R, Wallis S, Lipman J, Roberts JA, Cordeiro-Santos M. Is the Pharmacokinetics of First-Line Anti-TB Drugs a Cause of High Mortality Rates in TB Patients Admitted to the ICU? A Non-Compartmental Pharmacokinetic Analysis. Trop Med Infect Dis 2023; 8:312. [PMID: 37368730 DOI: 10.3390/tropicalmed8060312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/28/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Patients with tuberculosis (TB) may develop multi-organ failure and require admission to intensive care. In these cases, the mortality rates are as high as 78% and may be caused by suboptimal serum concentrations of first-line TB drugs. This study aims to compare the pharmacokinetics of oral rifampin, isoniazid, pyrazinamide and ethambutol patients in intensive care units (ICU) to outpatients and to evaluate drug serum concentrations as a potential cause of mortality. METHODS A prospective pharmacokinetic (PK) study was performed in Amazonas State, Brazil. The primary PK parameters of outpatients who achieved clinical and microbiological cure were used as a comparative target in a non-compartmental analysis. RESULTS Thirteen ICU and twenty outpatients were recruited. The clearance and volume of distribution were lower for rifampin, isoniazid, pyrazinamide and ethambutol. ICU thirty-day mortality was 77% versus a cure rate of 89% in outpatients. CONCLUSIONS ICU patients had a lower clearance and volume of distribution for rifampin, isoniazid, pyrazinamide and ethambutol compared to the outpatient group. These may reflect changes to organ function, impeded absorption and distribution to the site of infection in ICU patients and have the potential to impact clinical outcomes.
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Affiliation(s)
- Francisco Beraldi-Magalhaes
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
- Secretaria de Estado da Saúde do Paraná, Curitiba 80010-130, Brazil
- School of Medicine, Faculdades Pequeno Príncipe, Curitiba 80230-020, Brazil
| | - Suzanne L Parker
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
| | - Cristina Sanches
- Department of Pharmacy, Campus Centro-Oeste Dona Lindu, Universidade Federal de São João del-Rei, Divinopolis 35501-296, Brazil
| | - Leandro Sousa Garcia
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Brenda Karoline Souza Carvalho
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Amanda Araujo Costa
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Mariana Millan Fachi
- Department of Pharmacy, Campus Jardim Botânico, Universidade Federal do Paraná, Curitiba 80210-170, Brazil
| | - Marcus Vinicius de Liz
- Department of Chemistry & Biology, Campus Curitiba, Universidade Tecnológica Federal do Paraná, Curitiba 81280-340, Brazil
| | - Alexandra Brito de Souza
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Izabella Picinin Safe
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Roberto Pontarolo
- Department of Pharmacy, Campus Jardim Botânico, Universidade Federal do Paraná, Curitiba 80210-170, Brazil
| | - Steven Wallis
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
| | - Jeffrey Lipman
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30900 Nimes, France
| | - Jason A Roberts
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia
- Department of Intensive Care Medicine, Royal Brisbane and Women's Hospital, Brisbane, QLD 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30900 Nimes, France
- Department of Pharmacy, Royal Brisbane and Women's Hospital, Brisbane, QLD 4029, Australia
| | - Marcelo Cordeiro-Santos
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
- School of Medicine, Universidade Nilton Lins, Manaus 69058-040, Brazil
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Kim R, Jayanti RP, Lee H, Kim HK, Kang J, Park IN, Kim J, Oh JY, Kim HW, Lee H, Ghim JL, Ahn S, Long NP, Cho YS, Shin JG. Development of a population pharmacokinetic model of pyrazinamide to guide personalized therapy: impacts of geriatric and diabetes mellitus on clearance. Front Pharmacol 2023; 14:1116226. [PMID: 37305528 PMCID: PMC10250603 DOI: 10.3389/fphar.2023.1116226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 04/19/2023] [Indexed: 06/13/2023] Open
Abstract
Objectives: This study was performed to develop a population pharmacokinetic model of pyrazinamide for Korean tuberculosis (TB) patients and to explore and identify the influence of demographic and clinical factors, especially geriatric diabetes mellitus (DM), on the pharmacokinetics (PK) of pyrazinamide (PZA). Methods: PZA concentrations at random post-dose points, demographic characteristics, and clinical information were collected in a multicenter prospective TB cohort study from 18 hospitals in Korea. Data obtained from 610 TB patients were divided into training and test datasets at a 4:1 ratio. A population PK model was developed using a nonlinear mixed-effects method. Results: A one-compartment model with allometric scaling for body size effect adequately described the PK of PZA. Geriatric patients with DM (age >70 years) were identified as a significant covariate, increasing the apparent clearance of PZA by 30% (geriatric patients with DM: 5.73 L/h; others: 4.50 L/h), thereby decreasing the area under the concentration-time curve from 0 to 24 h by a similar degree compared with other patients (geriatric patients with DM: 99.87 μg h/mL; others: 132.3 μg h/mL). Our model was externally evaluated using the test set and provided better predictive performance compared with the previously published model. Conclusion: The established population PK model sufficiently described the PK of PZA in Korean TB patients. Our model will be useful in therapeutic drug monitoring to provide dose optimization of PZA, particularly for geriatric patients with DM and TB.
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Affiliation(s)
- Ryunha Kim
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Rannissa Puspita Jayanti
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Hongyeul Lee
- Division of Pulmonary, Critical Care Medicine, Department of Internal Medicine, Inje University College of Medicine, Busan Paik Hospital, Busan, Republic of Korea
| | - Hyun-Kuk Kim
- Division of Pulmonology, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Republic of Korea
| | - Jiyeon Kang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang-si, Republic of Korea
| | - I-Nae Park
- Department of Internal Medicine, Inje University Seoul Paik Hospital, Inje University College of Medicine, Seoul, Republic of Korea
| | - Jehun Kim
- Pulmonary Division, Department of IM, Kosin University Gospel Hospital, Busan, Republic of Korea
| | - Jee Youn Oh
- Division of Pulmonology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Hyung Woo Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Incheon, Republic of Korea
| | - Heayon Lee
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jong-Lyul Ghim
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Sangzin Ahn
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Phuoc Long
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae-Gook Shin
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
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Deshmukh S, Sane M, Gaikwad S, Sahasrabudhe T, Barthwal M, Lokhande R, Raskar S, Kagal A, Dharmshale S, Pradhan N, Gupte A, Alfarisi O, Gupta A, Dooley KE, Gupte N, Golub JE, Mave V. Sex Differences in TB Clinical Presentation, Drug Exposure, and Treatment Outcomes in India. Chest 2023; 163:778-789. [PMID: 36174745 PMCID: PMC10258435 DOI: 10.1016/j.chest.2022.09.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 08/25/2022] [Accepted: 09/09/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND The role of sex differences in clinical presentation, TB drug pharmacokinetic variables, and treatment outcomes is unclear. RESEARCH QUESTION What is the effect of sex on TB disease severity, drug exposure, and treatment outcome? STUDY DESIGN AND METHODS This study was a prospective cohort study conducted in India. It assessed TB disease severity; risk of unfavorable treatment outcomes (failure, recurrence, and death) according to sex; and risk factors for unfavorable outcomes stratified according to sex. Effects of sex on the pharmacokinetic variables (maximum concentration and area under the curve) of rifampicin, isoniazid, and pyrazinamide were estimated by using noncompartmental analyses. RESULTS Of 1,541 people with microbiologically confirmed TB, 567 (37%) were women. Women had a lower risk of high mycobacterial burden (smear grade ≥ 2 and/or time to detection < 7 days) with an adjusted OR of 0.70 (95% CI, 0.56-0.87). Among the 744 participants who were followed up prospectively, 261 (35%) were women. Women had a lower risk of unfavorable treatment outcomes (adjusted incidence risk ratio, 0.60; 95% CI, 0.43-0.85), mostly because recurrence was lower (adjusted incidence risk ratio, 0.45; 95% CI, 0.23-0.86). Isoniazid (but not rifampicin and pyrazinamide) maximum concentration and area under the curve were significantly higher among women (P < .01) than men. Among women, unfavorable outcomes were more likely among those with cavitary disease, but among men, increased risk of unfavorable outcomes was associated with alcohol use, higher BMI, and lower glycated hemoglobin level. INTERPRETATION Women present with lower mycobacterial burden, achieve higher TB drug exposure, and are less likely to have unfavorable treatment outcomes than men. Strategies to improve TB treatment success should take into account sex differences in risk factors for unfavorable outcomes.
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Affiliation(s)
- Sona Deshmukh
- Byramjee Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India; Johns Hopkins India, Pune, India
| | - Manasi Sane
- Byramjee Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India; Johns Hopkins India, Pune, India
| | - Sanjay Gaikwad
- Byramjee Jeejeebhoy Government Medical College, Pune, India
| | - Tushar Sahasrabudhe
- Dr. D.Y. Patil Medical College, Hospital & Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, India
| | - Madhusudan Barthwal
- Dr. D.Y. Patil Medical College, Hospital & Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, India
| | - Rahul Lokhande
- Byramjee Jeejeebhoy Government Medical College, Pune, India
| | - Swapnil Raskar
- Byramjee Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India; Johns Hopkins India, Pune, India
| | - Anju Kagal
- Byramjee Jeejeebhoy Government Medical College, Pune, India
| | | | - Neeta Pradhan
- Byramjee Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India; Johns Hopkins India, Pune, India
| | - Akshay Gupte
- Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Amita Gupta
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kelly E Dooley
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nikhil Gupte
- Byramjee Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India; Johns Hopkins India, Pune, India; Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jonathan E Golub
- Dr. D.Y. Patil Medical College, Hospital & Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, India
| | - Vidya Mave
- Byramjee Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India; Johns Hopkins India, Pune, India; Johns Hopkins University School of Medicine, Baltimore, MD.
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Li J, Cai X, Chen Y, Wang C, Jiao Z. Parametric population pharmacokinetics of isoniazid: a systematic review. Expert Rev Clin Pharmacol 2023; 16:467-489. [PMID: 36971782 DOI: 10.1080/17512433.2023.2196401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
INTRODUCTION Isoniazid (INH) plays an important role in prevention and treatment of tuberculosis (TB). However, large pharmacokinetic (PK) variations are observed in patients receiving standard INH dosages. Considering the influence of PK variations on INH efficacy or adverse reactions, we reviewed the population PK studies of INH and explored significant covariates that influence INH PK. METHODS The PubMed and Embase databases were systematically searched from their inception to 30 January 2023. PPK studies on INH using a parametric nonlinear mixed-effect approach were included in this review. The characteristics and identified significant covariates of the included studies were summarized. RESULTS Twenty-one studies conducted in adults, and seven in pediatrics were included. A two-compartment model with first-order absorption and elimination was the frequently used structural model for INH. NAT2 genotype, body size, and age were identified as significant covariates affecting INH PK variation. The median clearance (CL) value in the fast metabolizers was 2.55-fold higher than that in the slow metabolizers. Infants and children had higher CL per weight values than adults with the same metabolic phenotype. In pediatric patients, CL value increased with postnatal age. CONCLUSIONS Compared with slow metabolizers, the daily dose of INH should be increased by 200-600 mg in fast metabolizers. To achieve effective treatment, pediatric patients need a higher dose per kilogram than adults. Further PPK studies of anti-tuberculosis drugs are needed to comprehensively understand the covariates that affect their PK characteristics and to achieve accurate dose adjustments.
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Pharmacodynamics and Bactericidal Activity of Combination Regimens in Pulmonary Tuberculosis: Application to Bedaquiline-Pretomanid-Pyrazinamide. Antimicrob Agents Chemother 2022; 66:e0089822. [PMID: 36377952 PMCID: PMC9765268 DOI: 10.1128/aac.00898-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
A critical barrier to codevelopment of tuberculosis (TB) regimens is a limited ability to identify optimal drug and dose combinations in early-phase clinical testing. While pharmacokinetic-pharmacodynamic (PKPD) target attainment is the primary tool for exposure-response optimization of TB drugs, the PD target is a static index that does not distinguish individual drug contributions to the efficacy of a multidrug combination. A PKPD model of bedaquiline-pretomanid-pyrazinamide (BPaZ) for the treatment of pulmonary TB was developed as part of a dynamic exposure-response approach to regimen development. The model describes a time course relationship between the drug concentrations in plasma and their individual as well as their combined effect on sputum bacillary load assessed by solid culture CFU counts and liquid culture time to positivity (TTP). The model parameters were estimated using data from the phase 2A studies NC-001-(J-M-Pa-Z) and NC-003-(C-J-Pa-Z). The results included a characterization of BPaZ activity as the most and least sensitive to changes in pyrazinamide and bedaquiline exposures, respectively, with antagonistic activity of BPa compensated by synergistic activity of BZ and PaZ. Simulations of the NC-003 study population with once-daily bedaquiline at 200 mg, pretomanid at 200 mg, and pyrazinamide at 1,500 mg showed BPaZ would require 3 months to attain liquid culture negativity in 90% of participants. These results for BPaZ were intended to be an example application with the general approach aimed at entirely novel drug combinations from a growing pipeline of new and repurposed TB drugs.
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Abdelgawad N, Chirehwa M, Schutz C, Barr D, Ward A, Janssen S, Burton R, Wilkinson RJ, Shey M, Wiesner L, McIlleron H, Maartens G, Meintjes G, Denti P. Pharmacokinetics of antitubercular drugs in patients hospitalized with HIV-associated tuberculosis: a population modeling analysis. Wellcome Open Res 2022; 7:72. [PMID: 37008250 PMCID: PMC10050909 DOI: 10.12688/wellcomeopenres.17660.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Early mortality among hospitalized HIV-associated tuberculosis (TB/HIV) patients is high despite treatment. The pharmacokinetics of rifampicin, isoniazid, and pyrazinamide were investigated in hospitalized TB/HIV patients and a cohort of outpatients with TB (with or without HIV) to determine whether drug exposures differed between groups. METHODS Standard first-line TB treatment was given daily as per national guidelines, which consisted of oral 4-drug fixed-dose combination tablets containing 150 mg rifampicin, 75 mg isoniazid, 400 mg pyrazinamide, and 275 mg ethambutol. Plasma samples were drawn on the 3rd day of treatment over eight hours post-dose. Rifampicin, isoniazid, and pyrazinamide in plasma were quantified and NONMEM ® was used to analyze the data. RESULTS Data from 60 hospitalized patients (11 of whom died within 12 weeks of starting treatment) and 48 outpatients were available. Median (range) weight and age were 56 (35 - 88) kg, and 37 (19 - 77) years, respectively. Bioavailability and clearance of the three drugs were similar between TB/HIV hospitalized and TB outpatients. However, rifampicin's absorption was slower in hospitalized patients than in outpatients; mean absorption time was 49.9% and 154% more in hospitalized survivors and hospitalized deaths, respectively, than in outpatients. Higher levels of conjugated bilirubin correlated with lower rifampicin clearance. Isoniazid's clearance estimates were 25.5 L/h for fast metabolizers and 9.76 L/h for slow metabolizers. Pyrazinamide's clearance was more variable among hospitalized patients. The variability in clearance among patients was 1.70 and 3.56 times more for hospitalized survivors and hospitalized deaths, respectively, than outpatients. Conclusion. We showed that the pharmacokinetics of first-line TB drugs are not substantially different between hospitalized TB/HIV patients and TB (with or without HIV) outpatients. Hospitalized patients do not seem to be underexposed compared to their outpatient counterparts, as well as hospitalized patients who survived vs who died within 12 weeks of hospitalization.
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Affiliation(s)
- Noha Abdelgawad
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Maxwell Chirehwa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Charlotte Schutz
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - David Barr
- Wellcome Trust Liverpool Glasgow Centre for Global Health Research, University of Liverpool, Liverpool, L3 5QA, UK
| | - Amy Ward
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Saskia Janssen
- Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, 19268, The Netherlands
| | - Rosie Burton
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Khayelitsha Hospital, Department of Medicine, Khayelitsha, 7784, South Africa
| | - Robert J. Wilkinson
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Infectious Diseases, Imperial College London, London, W12 0NN, UK
- The Francis Crick Institute, London, NW1 1AT, UK
| | - Muki Shey
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Graeme Meintjes
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
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HIV Prevalence among Injury Patients Compared to Other High-Risk Groups in Tanzania. TRAUMA CARE 2022. [DOI: 10.3390/traumacare2030041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Sixty-eight percent of persons infected with HIV live in Africa, but as few as 67% of those know their infection status. The emergency department (ED) might be a critical access point to HIV testing. This study sought to measure and compare HIV prevalence in an ED injury population with other clinical and nonclinical populations across Tanzania. Adults (≥18 years) presenting to Kilimanjaro Christian Medical Center ED with acute injury of any severity were enrolled in a trauma registry. A systematic review and meta-analysis was conducted to compare HIV prevalence in the trauma registry with other population groups. Further, 759 injury patients were enrolled in the registry; 78.6% were men and 68.2% consented to HIV counseling and testing. The HIV prevalence was 5.02% (tested), 6.25% (self-report), and 5.31% (both). The systematic review identified 79 eligible studies reporting HIV prevalence (tested) in 33 clinical and 12 nonclinical population groups. Notable groups included ED injury patients (3.53%, 95% CI), multiple injury patients (10.67%, 95% CI), and people who inject drugs (17.43%, 95% CI). These findings suggest that ED injury patients might be at higher HIV risk compared to the general population, and the ED is a potential avenue to increasing HIV testing among young adults, particularly men.
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22
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Quantitative Systems Pharmacology Modeling Framework of Autophagy in Tuberculosis: Application to Adjunctive Metformin Host-Directed Therapy. Antimicrob Agents Chemother 2022; 66:e0036622. [PMID: 35862740 PMCID: PMC9380544 DOI: 10.1128/aac.00366-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Quantitative systems pharmacology (QSP) modeling of the host immune response against Mycobacterium tuberculosis can inform the rational design of host-directed therapies (HDTs). We aimed to develop a QSP framework to evaluate the effects of metformin-associated autophagy induction in combination with antibiotics. A QSP framework for autophagy was developed by extending a model for host immune response to include adenosine monophosphate-activated protein kinase (AMPK)-mTOR-autophagy signaling. This model was combined with pharmacokinetic-pharmacodynamic models for metformin and antibiotics against M. tuberculosis. We compared the model predictions to mice infection experiments and derived predictions for the pathogen- and host-associated dynamics in humans treated with metformin in combination with antibiotics. The model adequately captured the observed bacterial load dynamics in mice M. tuberculosis infection models treated with metformin. Simulations for adjunctive metformin therapy in newly diagnosed patients suggested a limited yet dose-dependent effect of metformin on reduction of the intracellular bacterial load when the overall bacterial load is low, late during antibiotic treatment. We present the first QSP framework for HDTs against M. tuberculosis, linking cellular-level autophagy effects to disease progression and adjunctive HDT treatment response. This framework may be extended to guide the design of HDTs against M. tuberculosis.
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Phaisal W, Jantarabenjakul W, Wacharachaisurapol N, Tawan M, Puthanakit T, Wittayalertpanya S, Chariyavilaskul P. Pharmacokinetics of isoniazid and rifapentine in young paediatric patients with latent tuberculosis infection. Int J Infect Dis 2022; 122:725-732. [PMID: 35868608 DOI: 10.1016/j.ijid.2022.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 10/17/2022] Open
Abstract
OBJECTIVES This study investigated the steady-state pharmacokinetic profiles of 3-month weekly rifapentine plus isoniazid (3HP) in children with latent tuberculosis infection (LTBI). Factors including tablet integrity, food, and pharmacogenetics were also assessed. METHODS During the 3HP treatment, blood and urine samples were collected on week 4. Isoniazid and rifapentine levels were measured using a high-performance liquid chromatography technique. Genetic variation of arylamine N-acetyltransferase 2 (NAT2) and arylacetamide deacetylase (AADAC) were assessed by the MassARRAY®. Safety and clinical outcomes at week 48 were monitored. RESULTS Twelve LTBI children [age 3.8 (range 2.1-4.9 years old)] completed the treatment [isoniazid and rifapentine dose 25.0 (range 21.7-26.8) and 25.7 (range 20.7-32.1) mg/kg, respectively]. No serious adverse events or active tuberculosis occurred. Tablet integrity was associated with decreased area under the concentration-time curve (91 vs 73 mg.hr/L, p = 0.026) and increased apparent oral clearance of isoniazid (0.27 vs 0.32 L/hr/kg, p = 0.019) and decreased rifapentine's renal clearance (CLR, 0.005 vs 0.003 L/hr, p = 0.014). Food was associated with increased CLR of isoniazid (3.45 vs 8.95 L/hr, p = 0.006) but not rifapentine. Variability in NAT2 and AADAC did not affect the pharmacokinetics of both drugs. CONCLUSIONS There is high variability in the pharmacokinetic profiles of isoniazid and rifapentine in young LTBI children. The variability was partly influenced by tablet integrity and food, but not pharmacogenetics. Further study in a larger cohort is warranted to display the relationship of these factors to treatment outcomes.
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Affiliation(s)
- Weeraya Phaisal
- Interdisciplinary Program in Biomedical Sciences, Graduate School, Chulalongkorn University, Bangkok, Thailand; Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Watsamon Jantarabenjakul
- Center of Excellence for Paediatric Infectious Diseases and Vaccines, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Thai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand; Division of Infectious Diseases, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Noppadol Wacharachaisurapol
- Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Center of Excellence for Paediatric Infectious Diseases and Vaccines, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Monta Tawan
- Center of Excellence for Paediatric Infectious Diseases and Vaccines, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Thanyawee Puthanakit
- Center of Excellence for Paediatric Infectious Diseases and Vaccines, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Thai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand; Division of Infectious Diseases, Department of Paediatrics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Supeecha Wittayalertpanya
- Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pajaree Chariyavilaskul
- Center of Excellence in Clinical Pharmacokinetics and Pharmacogenomics, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Pharmacology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
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Influence of N-acetyltransferase 2 (NAT2) genotype/single nucleotide polymorphisms on clearance of isoniazid in tuberculosis patients: a systematic review of population pharmacokinetic models. Eur J Clin Pharmacol 2022; 78:1535-1553. [PMID: 35852584 PMCID: PMC9482569 DOI: 10.1007/s00228-022-03362-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/29/2022] [Indexed: 11/19/2022]
Abstract
Purpose Significant pharmacokinetic variabilities have been reported for isoniazid across various populations. We aimed to summarize population pharmacokinetic studies of isoniazid in tuberculosis (TB) patients with a specific focus on the influence of N-acetyltransferase 2 (NAT2) genotype/single-nucleotide polymorphism (SNP) on clearance of isoniazid. Methods A systematic search was conducted in PubMed and Embase for articles published in the English language from inception till February 2022 to identify population pharmacokinetic (PopPK) studies of isoniazid. Studies were included if patient population had TB and received isoniazid therapy, non-linear mixed effects modelling, and parametric approach was used for building isoniazid PopPK model and NAT2 genotype/SNP was tested as a covariate for model development. Results A total of 12 articles were identified from PubMed, Embase, and hand searching of articles. Isoniazid disposition was described using a two-compartment model with first-order absorption and linear elimination in most of the studies. Significant covariates influencing the pharmacokinetics of isoniazid were NAT2 genotype, body weight, lean body weight, body mass index, fat-free mass, efavirenz, formulation, CD4 cell count, and gender. Majority of studies conducted in adult TB population have reported a twofold or threefold increase in isoniazid clearance for NAT2 rapid acetylators compared to slow acetylators. Conclusion The variability in disposition of isoniazid can be majorly attributed to NAT2 genotype. This results in a trimodal clearance pattern with a multi-fold increase in clearance of NAT2 rapid acetylators compared to slow acetylators. Further studies exploring the generalizability/adaptability of developed PopPK models in different clinical settings are required.
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Chen B, Shi HQ, Feng MR, Wang XH, Cao XM, Cai WM. Population Pharmacokinetics and Pharmacodynamics of Isoniazid and its Metabolite Acetylisoniazid in Chinese Population. Front Pharmacol 2022; 13:932686. [PMID: 35928262 PMCID: PMC9343941 DOI: 10.3389/fphar.2022.932686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 06/07/2022] [Indexed: 11/24/2022] Open
Abstract
Objective: We aimed to establish a population pharmacokinetic (PPK) model for isoniazid (INH) and its major metabolite Acetylisoniazid (AcINH) in healthy Chinese participants and tuberculosis patients and assess the role of the NAT2 genotype on the transformation of INH to AcINH. We also sought to estimate the INH exposure that would achieve a 90% effective concentration (EC90) efficiency for patients with various NAT2 genotypes. Method: A total of 45 healthy participants and 157 tuberculosis patients were recruited. For healthy subjects, blood samples were collected 0–14 h after administration of 300 mg or 320 mg of the oral dose of INH; for tuberculosis patients who received at least seven days therapy with INH, blood samples were collected two and/or six hours after administration. The plasma concentration of INH and AcINH was determined by the reverse-phase HPLC method. NAT2 genotypes were determined by allele-specific amplification. The integrated PPK model of INH and AcINH was established through nonlinear mixed-effect modeling (NONMEM). The effect of NAT2 genotype and other covariates on INH and AcINH disposition was evaluated. Monte Carlo simulation was performed for estimating EC90 of INH in patients with various NAT2 genotypes. Results: The estimated absorption rate constant (Ka), oral clearance (CL/F), and apparent volume of distribution (V2/F) for INH were 3.94 ± 0.44 h−1, 18.2 ± 2.45 L⋅h−1, and 56.8 ± 5.53 L, respectively. The constant of clearance (K30) and the volume of distribution (V3/F) of AcINH were 0.33 ± 0.11 h−1 and 25.7 ± 1.30 L, respectively. The fraction of AcINH formation (FM) was 0.81 ± 0.076. NAT2 genotypes had different effects on the CL/F and FM. In subjects with only one copy of NAT2 *5, *6, and *7 alleles, the CL/F values were approximately 46.3%, 54.9%, and 74.8% of *4/*4 subjects, respectively. The FM values were approximately 48.7%, 63.8%, and 86.9% of *4/*4 subjects, respectively. The probability of target attainment of INH EC90 in patients with various NAT2 genotypes was different. Conclusion: The integrated parent-metabolite PPK model accurately characterized the disposition of INH and AcINH in the Chinese population sampled, which may be useful in the individualized therapy of INH.
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Affiliation(s)
- Bing Chen
- Department of Pharmacy, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
- *Correspondence: Bing Chen,
| | - Hao-Qiang Shi
- Department of Pharmacy, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Meihua Rose Feng
- Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI, United States
| | - Xi-Han Wang
- Department of Pharmacy, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Xiao-Mei Cao
- Department of Clinical Pharmacology, Nanjin Jinling Hospital, Nanjing, China
| | - Wei-Min Cai
- Department of Clinical Pharmacy and Pharmaceutical Management, School of Pharmacy, Fudan University, Shanghai, China
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Akkerman OW, Duarte R, Tiberi S, Schaaf HS, Lange C, Alffenaar JWC, Denholm J, Carvalho ACC, Bolhuis MS, Borisov S, Bruchfeld J, Cabibbe AM, Caminero JA, Carvalho I, Chakaya J, Centis R, Dalcomo MP, D Ambrosio L, Dedicoat M, Dheda K, Dooley KE, Furin J, García-García JM, van Hest NAH, de Jong BC, Kurhasani X, Märtson AG, Mpagama S, Torrico MM, Nunes E, Ong CWM, Palmero DJ, Ruslami R, Saktiawati AMI, Semuto C, Silva DR, Singla R, Solovic I, Srivastava S, de Steenwinkel JEM, Story A, Sturkenboom MGG, Tadolini M, Udwadia ZF, Verhage AR, Zellweger JP, Migliori GB. Clinical standards for drug-susceptible pulmonary TB. Int J Tuberc Lung Dis 2022; 26:592-604. [PMID: 35768923 PMCID: PMC9272737 DOI: 10.5588/ijtld.22.0228] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 04/20/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND: The aim of these clinical standards is to provide guidance on 'best practice´ for diagnosis, treatment and management of drug-susceptible pulmonary TB (PTB).METHODS: A panel of 54 global experts in the field of TB care, public health, microbiology, and pharmacology were identified; 46 participated in a Delphi process. A 5-point Likert scale was used to score draft standards. The final document represents the broad consensus and was approved by all 46 participants.RESULTS: Seven clinical standards were defined: Standard 1, all patients (adult or child) who have symptoms and signs compatible with PTB should undergo investigations to reach a diagnosis; Standard 2, adequate bacteriological tests should be conducted to exclude drug-resistant TB; Standard 3, an appropriate regimen recommended by WHO and national guidelines for the treatment of PTB should be identified; Standard 4, health education and counselling should be provided for each patient starting treatment; Standard 5, treatment monitoring should be conducted to assess adherence, follow patient progress, identify and manage adverse events, and detect development of resistance; Standard 6, a recommended series of patient examinations should be performed at the end of treatment; Standard 7, necessary public health actions should be conducted for each patient. We also identified priorities for future research into PTB.CONCLUSION: These consensus-based clinical standards will help to improve patient care by guiding clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment for PTB.
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Affiliation(s)
- O W Akkerman
- TB Center Beatrixoord, University Medical Center Groningen, University of Groningen, Haren, the Netherlands, Department of Pulmonary Diseases and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - R Duarte
- Centro Hospitalar de Vila Nova de Gaia/Espinho; Instituto de Ciencias Biomédicas de Abel Saalazar, Universidade do Porto, Instituto de Saúde Publica da Universidade do Porto, Unidade de Investigação Clínica, ARS Norte, Porto, Portugal
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Division of Infection, Royal London Hospital, Barts Health NHS Trust, London, UK
| | - H S Schaaf
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - C Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany, German Center for Infection Research (DZIF) Clinical Tuberculosis Unit, Borstel, Germany, Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany, The Global Tuberculosis Program, Texas Children´s Hospital, Immigrant and Global Health, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - J W C Alffenaar
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia
| | - J Denholm
- Victorian Tuberculosis Program, Melbourne Health, Department of Infectious diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, RJ, Brazil
| | - M S Bolhuis
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - S Borisov
- Moscow Research and Clinical Center for Tuberculosis Control, Moscow, Russia
| | - J Bruchfeld
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden, Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - A M Cabibbe
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
| | - J A Caminero
- Department of Pneumology, University General Hospital of Gran Canaria "Dr Negrin", Las Palmas, Spain, ALOSA (Active Learning over Sanitary Aspects) TB Academy, Spain
| | - I Carvalho
- Pediatric Department, Vila Nova de Gaia Outpatient Tuberculosis Centre, Vila Nova de Gaia Hospital Centre, Vila Nova de Gaia, Portugal
| | - J Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences. Liverpool School of Tropical Medicine, Liverpool, UK
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
| | - M P Dalcomo
- Reference Center Helio Fraga, FIOCRUZ, Brazil
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M Dedicoat
- Department of Infectious Diseases, Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - K Dheda
- Centre for Lung Infection and Immunity Unit, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, South African Medical Research Council Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - K E Dooley
- Center for Tuberculosis Research, Johns Hopkins, Baltimore, MD
| | - J Furin
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | | | - N A H van Hest
- Department of Pulmonary Diseases and Tuberculosis, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands, Municipal Public Health Service Groningen, Groningen, The Netherlands
| | - B C de Jong
- Mycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - X Kurhasani
- UBT-Higher Education Institution Prishtina, Kosovo
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK
| | - S Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzani, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias Ismael Cosio Villegas, México City, Mexico
| | - E Nunes
- Department of Pulmonology of Central Hospital of Maputo, Maputo, Mozambique, Faculty of Medicine of Eduardo Mondlane University, Maputo, Mozambique
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, National University of Singapore, Yong Loo Lin School of Medicine, Singapore, National University of Singapore Institute for Health Innovation & Technology (iHealthtech), Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - D J Palmero
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- Department of Biomedical Science, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Research Center for Care and Control of Infectious Disease (RC3iD), Universitas Padjadjaran, Bandung, Indonesia
| | - A M I Saktiawati
- Department of Internal Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia, Center for Tropical Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - C Semuto
- Research, Innovation and Data Science Division, Rwanda Biomedical Center, Kigali, Rwanda
| | - D R Silva
- Instituto Vaccarezza, Hospital Muñiz, Buenos Aires, Argentina
| | - R Singla
- National Institute of Tuberculosis & Respiratory Diseases, New Delhi, India
| | - I Solovic
- National Institute of Tuberculosis, Lung Diseases and Thoracic Surgery, Faculty of Health, Catholic University, Ružomberok, Vyšné Hágy, Slovakia
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Centre at Tyler, Tyler, TX, USA
| | - J E M de Steenwinkel
- Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Centre Rotterdam, Rotterdam, the Netherlands
| | - A Story
- Institute of Epidemiology and Healthcare, University College London, London, UK, Find and Treat, University College Hospitals NHS Foundation Trust, London, UK
| | - M G G Sturkenboom
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Tadolini
- Infectious Diseases Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy, Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - A R Verhage
- Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - J P Zellweger
- TB Competence Center, Swiss Lung Association, Berne, Switzerland
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
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Tikiso T, McIlleron H, Abdelwahab MT, Bekker A, Hesseling A, Chabala C, Davies G, Zar HJ, Rabie H, Andrieux-Meyer I, Lee J, Wiesner L, Cotton MF, Denti P. Population pharmacokinetics of ethambutol in African children: a pooled analysis. J Antimicrob Chemother 2022; 77:1949-1959. [PMID: 35466379 PMCID: PMC9633720 DOI: 10.1093/jac/dkac127] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/30/2022] [Indexed: 02/15/2024] Open
Abstract
OBJECTIVES Ethambutol protects against the development of resistance to co-administered drugs in the intensive phase of first-line anti-TB treatment in children. It is especially relevant in settings with a high prevalence of HIV or isoniazid resistance. We describe the population pharmacokinetics of ethambutol in children with TB to guide dosing in this population. METHODS We pooled data from 188 intensively sampled children from the DATiC, DNDi and SHINE studies, who received 15-25 mg/kg ethambutol daily according to WHO guidelines. The median (range) age and weight of the cohort were 1.9 (0.3-12.6) years and 9.6 (3.9-34.5) kg, respectively. Children with HIV (HIV+; n = 103) received ART (lopinavir/ritonavir in 92%). RESULTS Ethambutol pharmacokinetics were best described by a two-compartment model with first-order elimination and absorption transit compartments. Clearance was estimated to reach 50% of its mature value by 2 months after birth and 99% by 3 years. Typical steady-state apparent clearance in a 10 kg child was 15.9 L/h. In HIV+ children on lopinavir/ritonavir, bioavailability was reduced by 32% [median (IQR) steady-state Cmax = 0.882 (0.669-1.28) versus 1.66 (1.21-2.15) mg/L). In young children, bioavailability correlated with age. At birth, bioavailability was 73.1% of that in children 3.16 years or older. CONCLUSIONS To obtain exposure within the 2-6 mg/L recommended range for Cmax, the current doses must be doubled (or tripled with HIV+ children on lopinavir/ritonavir) for paediatric patients. This raises concerns regarding the potential for ocular toxicity, which would require evaluation.
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Affiliation(s)
- Tjokosela Tikiso
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Mahmoud Tareq Abdelwahab
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Adrie Bekker
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anneke Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Chishala Chabala
- University of Zambia, School of Medicine and Children’s Hospital, University Teaching Hospitals, Lusaka, Zambia
| | - Geraint Davies
- Malawi-Liverpool-Wellcome Research Unit, Blantyre, Malawi
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
- SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Helena Rabie
- Department of Paediatrics and Child Health and Family Centre for Research with Ubuntu (FAM-CRU), Stellenbosch University, Cape Town, South Africa
- Tygerberg Children’s Hospital, Cape Town, South Africa
| | | | - Janice Lee
- Drugs for Neglected Diseases Initiative, Geneva, Switzerland
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Mark F Cotton
- Department of Paediatrics and Child Health and Family Centre for Research with Ubuntu (FAM-CRU), Stellenbosch University, Cape Town, South Africa
- Tygerberg Children’s Hospital, Cape Town, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
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Population Pharmacokinetic Modelling and Limited Sampling Strategies for Therapeutic Drug Monitoring of Pyrazinamide in Patients with Tuberculosis. Antimicrob Agents Chemother 2022; 66:e0000322. [PMID: 35727060 DOI: 10.1128/aac.00003-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Pyrazinamide is one of the first-line antituberculosis drugs. The efficacy of pyrazinamide is associated with the ratio of 24-h area under the concentration-time curve (AUC24) to MIC. The objective of this study was to develop and validate a limited sampling strategy (LSS) based on a population pharmacokinetic (popPK) model to predict AUC24. A popPK model was developed using an iterative two-stage Bayesian procedure and was externally validated. Using data from 20 treatment-naive adult tuberculosis (TB) patients, a one compartment model with transit absorption and first-order elimination best described pyrazinamide pharmacokinetics and fed state was the only significant covariate for absorption rate constant (ka). External validation, using data from 26 TB patients, showed that the popPK model predicted AUC24 with a slight underestimation of 2.1%. LSS were calculated using Monte Carlo simulation (n = 10,000). External validation showed LSS with time points 0 h, 2 h, and 6 h performed best with RMSE of 9.90% and bias of 0.06%. Food slowed absorption of pyrazinamide, but did not affect bioavailability, which may be advantageous in case of nausea or vomiting in which food can be used to diminish these effects. In this study, we successfully developed and validated a popPK model and LSS, using 0 h, 2 h, and 6 h postdose samples, that could be used to perform therapeutic drug monitoring (TDM) of pyrazinamide in TB patients.
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Time for Isoniazid Pharmacogenomic-Guided Therapy of Tuberculosis Based on NAT2 Acetylation Profiles in India. Eur J Drug Metab Pharmacokinet 2022; 47:443-447. [DOI: 10.1007/s13318-022-00764-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2022] [Indexed: 11/03/2022]
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Abdelgawad N, Chirehwa M, Schutz C, Barr D, Ward A, Janssen S, Burton R, Wilkinson RJ, Shey M, Wiesner L, McIlleron H, Maartens G, Meintjes G, Denti P. A comparison of the population pharmacokinetics of rifampicin, isoniazid and pyrazinamide between hospitalized and non-hospitalized tuberculosis patients with or without HIV. Wellcome Open Res 2022; 7:72. [PMID: 37008250 PMCID: PMC10050909 DOI: 10.12688/wellcomeopenres.17660.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/17/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Early mortality among hospitalized HIV-associated tuberculosis (TB/HIV) patients is high despite treatment. The pharmacokinetics of rifampicin, isoniazid, and pyrazinamide were investigated in hospitalized TB/HIV patients and a cohort of outpatients with TB (with or without HIV) to determine whether drug exposures differed between groups. METHODS Standard first-line TB treatment was given daily as per national guidelines, which consisted of oral 4-drug fixed-dose combination tablets containing 150 mg rifampicin, 75 mg isoniazid, 400 mg pyrazinamide, and 275 mg ethambutol. Plasma samples were drawn on the 3rd day of treatment over eight hours post-dose. Rifampicin, isoniazid, and pyrazinamide in plasma were quantified and NONMEM ® was used to analyze the data. RESULTS Data from 60 hospitalized patients (11 of whom died within 12 weeks of starting treatment) and 48 outpatients were available. Median (range) weight and age were 56 (35 - 88) kg, and 37 (19 - 77) years, respectively. Bioavailability and clearance of the three drugs were similar between TB/HIV hospitalized and TB outpatients. However, rifampicin's absorption was slower in hospitalized patients than in outpatients; mean absorption time was 49.9% and 154% more in hospitalized survivors and hospitalized deaths, respectively, than in outpatients. Higher levels of conjugated bilirubin correlated with lower rifampicin clearance. Isoniazid's clearance estimates were 25.5 L/h for fast metabolizers and 9.76 L/h for slow metabolizers. Pyrazinamide's clearance was more variable among hospitalized patients. The variability in clearance among patients was 1.70 and 3.56 times more for hospitalized survivors and hospitalized deaths, respectively, than outpatients. Conclusion. We showed that the pharmacokinetics of first-line TB drugs are not substantially different between hospitalized TB/HIV patients and TB (with or without HIV) outpatients. Hospitalized patients do not seem to be underexposed compared to their outpatient counterparts.
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Affiliation(s)
- Noha Abdelgawad
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Maxwell Chirehwa
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Charlotte Schutz
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - David Barr
- Wellcome Trust Liverpool Glasgow Centre for Global Health Research, University of Liverpool, Liverpool, L3 5QA, UK
| | - Amy Ward
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Saskia Janssen
- Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, 19268, The Netherlands
| | - Rosie Burton
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Khayelitsha Hospital, Department of Medicine, Khayelitsha, 7784, South Africa
| | - Robert J. Wilkinson
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Infectious Diseases, Imperial College London, London, W12 0NN, UK
- The Francis Crick Institute, London, NW1 1AT, UK
| | - Muki Shey
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Gary Maartens
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Graeme Meintjes
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory, 7925, South Africa
- Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, 7925, South Africa
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Beraldi-Magalhaes F, Parker SL, Sanches C, Sousa Garcia L, Souza Carvalho BK, Fachi MM, de Liz MV, Pontarolo R, Lipman J, Cordeiro-Santos M, Roberts JA. Is Dosing of Ethambutol as Part of a Fixed-Dose Combination Product Optimal for Mechanically Ventilated ICU Patients with Tuberculosis? A Population Pharmacokinetic Study. Antibiotics (Basel) 2021; 10:antibiotics10121559. [PMID: 34943771 PMCID: PMC8698281 DOI: 10.3390/antibiotics10121559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/15/2021] [Accepted: 12/16/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) patients admitted to intensive care units (ICU) have high mortality rates. It is uncertain whether the pharmacokinetics of first-line TB drugs in ICU patients are different from outpatients. This study aims to compare the pharmacokinetics of oral ethambutol in TB patients in ICU versus TB outpatients and to determine whether contemporary dosing regimens achieve therapeutic exposures. METHODS A prospective population pharmacokinetic study of ethambutol was performed in Amazonas State, Brazil. Probability of target attainment was determined using AUC/MIC > 11.9 and Cmax/MIC > 0.48 values. Optimized dosing regimens were simulated at steady state. RESULTS Ten ICU patients and 20 outpatients were recruited. Ethambutol pharmacokinetics were best described using a two-compartment model with first-order oral absorption. Neither ICU patients nor outpatients consistently achieved optimal ethambutol exposures. The absorption rate for ethambutol was 2-times higher in ICU patients (p < 0.05). Mean bioavailability for ICU patients was >5-times higher than outpatients (p < 0.0001). Clearance and volume of distribution were 93% (p < 0.0001) and 53% (p = 0.002) lower in ICU patients, respectively. CONCLUSIONS ICU patients displayed significantly different pharmacokinetics for an oral fixed-dose combination administration of ethambutol compared to outpatients, and neither patient group consistently achieved pre-defined therapeutic exposures.
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Affiliation(s)
- Francisco Beraldi-Magalhaes
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil; (L.S.G.); (B.K.S.C.); (M.C.-S.)
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
- Secretaria de Estado da Saúde do Paraná, Curitiba 80010-130, Brazil
- School of Medicine, Faculdades Pequeno Príncipe, Curitiba 80230-020, Brazil
- Correspondence:
| | - Suzanne L. Parker
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia; (S.L.P.); (J.L.); (J.A.R.)
| | - Cristina Sanches
- Department of Pharmacy, Universidade Federal de São João del-Rei, Divinopolis 35501-296, Brazil;
| | - Leandro Sousa Garcia
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil; (L.S.G.); (B.K.S.C.); (M.C.-S.)
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Brenda Karoline Souza Carvalho
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil; (L.S.G.); (B.K.S.C.); (M.C.-S.)
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
| | - Mariana Millan Fachi
- Department of Pharmacy, Universidade Federal do Paraná, Curitiba 80210-170, Brazil; (M.M.F.); (R.P.)
| | - Marcus Vinicius de Liz
- Department of Chemistry and Biology, Universidade Federal Tecnológica do Paraná, Curitiba 81280-340, Brazil;
| | - Roberto Pontarolo
- Department of Pharmacy, Universidade Federal do Paraná, Curitiba 80210-170, Brazil; (M.M.F.); (R.P.)
| | - Jeffrey Lipman
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia; (S.L.P.); (J.L.); (J.A.R.)
- Department of Intensive Care Medicine, Royal Brisbane and Women’s Hospital, Brisbane, QLD 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30900 Nimes, France
| | - Marcelo Cordeiro-Santos
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus 69040-000, Brazil; (L.S.G.); (B.K.S.C.); (M.C.-S.)
- Fundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus 69040-000, Brazil
- School of Medicine, Universidade Nilton Lins, Manaus 69058-040, Brazil
| | - Jason A. Roberts
- UQ Centre for Clinical Research, The University of Queensland, Brisbane, QLD 4029, Australia; (S.L.P.); (J.L.); (J.A.R.)
- Department of Intensive Care Medicine, Royal Brisbane and Women’s Hospital, Brisbane, QLD 4029, Australia
- Division of Anaesthesiology Critical Care Emergency and Pain Medicine, Nîmes University Hospital, University of Montpellier, 30900 Nimes, France
- Department of Pharmacy, Royal Brisbane and Women’s Hospital, Brisbane, QLD 4029, Australia
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McCallum AD, Pertinez HE, Else LJ, Dilly-Penchala S, Chirambo AP, Sheha I, Chasweka M, Chitani A, Malamba RD, Meghji JZ, Gordon SB, Davies GR, Khoo SH, Sloan DJ, Mwandumba HC. Intrapulmonary Pharmacokinetics of First-line Anti-tuberculosis Drugs in Malawian Patients With Tuberculosis. Clin Infect Dis 2021; 73:e3365-e3373. [PMID: 32856694 PMCID: PMC8563277 DOI: 10.1093/cid/ciaa1265] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Further work is required to understand the intrapulmonary pharmacokinetics of first-line anti-tuberculosis drugs. This study aimed to describe the plasma and intrapulmonary pharmacokinetics of rifampicin, isoniazid, pyrazinamide, and ethambutol, and explore relationships with clinical treatment outcomes in patients with pulmonary tuberculosis. METHODS Malawian adults with a first presentation of microbiologically confirmed pulmonary tuberculosis received standard 6-month first-line therapy. Plasma and intrapulmonary samples were collected 8 and 16 weeks into treatment and drug concentrations measured in plasma, lung/airway epithelial lining fluid (ELF), and alveolar cells. Population pharmacokinetic modeling generated estimates of drug exposure (Cmax and AUC) from individual-level post hoc Bayesian estimates of plasma and intrapulmonary pharmacokinetics. RESULTS One-hundred fifty-seven patients (58% HIV coinfected) participated. Despite standard weight-based dosing, peak plasma concentrations of first-line drugs were below therapeutic drug-monitoring targets. Rifampicin concentrations were low in all 3 compartments. Isoniazid, pyrazinamide, and ethambutol achieved higher concentrations in ELF and alveolar cells than plasma. Isoniazid and pyrazinamide concentrations were 14.6-fold (95% CI, 11.2-18.0-fold) and 49.8-fold (95% CI, 34.2-65.3-fold) higher in ELF than plasma, respectively. Ethambutol concentrations were highest in alveolar cells (alveolar cell-plasma ratio, 15.0; 95% CI, 11.4-18.6). Plasma or intrapulmonary pharmacokinetics did not predict clinical treatment response. CONCLUSIONS We report differential drug concentrations between plasma and the lung. While plasma concentrations were below therapeutic monitoring targets, accumulation of drugs at the site of disease may explain the success of the first-line regimen. The low rifampicin concentrations observed in all compartments lend strong support for ongoing clinical trials of high-dose rifampicin regimens.
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Affiliation(s)
- Andrew D McCallum
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Henry E Pertinez
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Laura J Else
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Sujan Dilly-Penchala
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Aaron P Chirambo
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Irene Sheha
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Madalitso Chasweka
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Alex Chitani
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Rose D Malamba
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
| | - Jamilah Z Meghji
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Stephen B Gordon
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
| | - Geraint R Davies
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Saye H Khoo
- Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Derek J Sloan
- School of Medicine, University of St Andrews, St Andrews, United Kingdom
| | - Henry C Mwandumba
- Malawi-Liverpool-Wellcome Clinical Research Programme, University of Malawi College of Medicine, Blantyre, Malawi
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
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A pilot study to investigate the utility of NAT2 genotype-guided isoniazid monotherapy regimens in NAT2 slow acetylators. Pharmacogenet Genomics 2021; 31:68-73. [PMID: 33165168 DOI: 10.1097/fpc.0000000000000423] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Isoniazid is a therapeutic agent for the treatment of latent tuberculosis infection. Genetic variants in the N-acetyltransferase 2 (NAT2) are associated with the safety and pharmacokinetics of isoniazid. The study aimed to evaluate the safety and pharmacokinetics of a NAT2 genotype-guided regimen of isoniazid monotherapy. A randomized, open-label, parallel-group and multiple-dosing study was performed in healthy subjects. The subjects received isoniazid for 29 days. The NAT2 slow acetylators (NAT2*5/*5, -*5/*6, -*5/*7, -*6/*6, -*6/*7, -*7/*7) randomly received standard dose (300 mg, standard-treatment group) or reduced dose (200 mg, PGx-treatment group) of isoniazid. Also, all the NAT2 rapid acetylators (NAT2*4/*4) received isoniazid 300 mg (reference group). The safety and pharmacokinetics were evaluated during the study. The PGx-treatment group showed a more stable serum liver enzyme profile and a lower incidence of adverse drug reactions (ADRs) than the standard-treatment group. The emergence rates of ADRs were 12.5, 60 and 33.3% in the reference, standard-treatment and PGx-treatment groups, respectively. The PGx-treatment group showed higher plasma isoniazid concentrations than the reference group, although the PGx-treatment group received a reduced dose of isoniazid. Our results showed that a NAT2 genotype-guided regimen may reduce ADRs during isoniazid monotherapy without concern over insufficient drug exposure.
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Development of a population pharmacokinetic model and Bayesian estimators for isoniazid in Tunisian tuberculosis patients. THE PHARMACOGENOMICS JOURNAL 2021; 21:467-475. [PMID: 33649521 DOI: 10.1038/s41397-021-00223-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 01/12/2021] [Accepted: 02/02/2021] [Indexed: 01/31/2023]
Abstract
This study aimed to develop a population pharmacokinetic model using full pharmacokinetic (PK) profiles of isoniazid (INH) taking into account demographic and genetic covariates and to develop Bayesian estimators for predicting INH area under the curve (AUC) in Tunisian tuberculosis patients. The INH concentrations in the building data set were fitted using a one- to three-compartment model. The impact of the different covariates was assessed on the PK parameters of the best model. The best limited sampling strategy (LSS) for estimating the INH AUC was selected by comparing the predicted values to an independent data set. INH PK was best described using a three-compartment model with lag-time absorption. The different studied covariates did not have any impact on the PK parameters of the building model. The Bayesian estimation using one-point concentrations gave the lowest values of prediction errors for the C3 LSS model. This model could be sufficient in routine activity for INH monitoring in this population.
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35
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Cho YS, Jang TW, Kim HJ, Oh JY, Lee HK, Park HK, Ghim JL, Long NP, Park Y, Choi YK, Phuong NTT, Shin JG. Isoniazid Population Pharmacokinetics and Dose Recommendation for Korean Patients With Tuberculosis Based on Target Attainment Analysis. J Clin Pharmacol 2021; 61:1567-1578. [PMID: 34157153 DOI: 10.1002/jcph.1931] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 06/20/2021] [Indexed: 11/09/2022]
Abstract
The wide variability of isoniazid (INH) pharmacokinetics is mainly attributed to the trimodal N-acetyltransferase 2 (NAT2) acetylator phenotype, that is, rapid, intermediate, and slow. Consequently, a uniform INH dose in current clinical practice may lead to treatment failure and emergence of drug resistance. There is a lack of studies on specific doses of INH for different NAT2 acetylator phenotypes among tuberculosis (TB) patients. Therefore, we aimed to provide insight into the optimal dosing of INH for each NAT2 acetylator phenotype with respect to the probability of achieving a pharmacokinetic (PK)/pharmacodynamic target. PK, the NAT2 genotype, and clinical data were collected in a multicenter prospective cohort study conducted at 13 clinical centers in Korea. Population PK modeling and simulation were carried out. Data from 454 TB patients were divided into a training data set and a test data set at a ratio of 4 to 1. The PK of the training data were best described by a 2-compartment model with allometric scaling for body size effect. Importantly, NAT2 acetylator phenotypes significantly affected the apparent clearance. Our model, which provided better predictive performance compared with previously published models, was evaluated by external validation using the test set. The simulation for assessing target efficacy and toxicity indicated that the best INH dosing regimens for Korean tuberculosis patients were once-daily doses of 400, 300, and 200 mg for rapid, intermediate, and slow acetylators, respectively. In conclusion, our study provides a step forward in precision dosing for antituberculosis management.
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Affiliation(s)
- Yong-Soon Cho
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea.,Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Tae Won Jang
- Department of Pulmonology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Hyo-Jung Kim
- Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Republic of Korea
| | - Jee Youn Oh
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Hyun-Kyung Lee
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea.,Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Hye Kyeong Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jong-Lyul Ghim
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea.,Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Nguyen Phuoc Long
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea
| | - Yumi Park
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea
| | - Young-Kyung Choi
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Thi Thu Phuong
- Faculty of Pharmacy, Hai Phong University of Medicine and Pharmacy, Haiphong, Vietnam
| | - Jae-Gook Shin
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea.,Department of Pharmacology and Clinical Pharmacology, PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | -
- Center for Personalized Precision Medicine of Tuberculosis (cPMTb), Inje University College of Medicine, Busan, Republic of Korea
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Susanto BO, Svensson RJ, Svensson EM, Aarnoutse R, Boeree MJ, Simonsson USH. Rifampicin Can Be Given as Flat-Dosing Instead of Weight-Band Dosing. Clin Infect Dis 2021; 71:3055-3060. [PMID: 31867594 PMCID: PMC7819529 DOI: 10.1093/cid/ciz1202] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 12/19/2019] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The weight-band dosing in tuberculosis treatment regimen has been implemented in clinical practice for decades. Patients will receive different number of fixed dose combination tablets according to their weight-band. However, some analysis has shown that weight was not the best covariate to explain variability of rifampicin exposure. Furthermore, the rationale for using weight-band dosing instead of flat-dosing becomes questionable. Therefore, this study aimed to compare the average and the variability of rifampicin exposure after weight-band dosing and flat-dosing. METHODS Rifampicin exposure were simulated using previously published population pharmacokinetics model at dose 10-40 mg/kg for weight-band dosing and dose 600-2400 mg for flat-dosing. The median area under the curve (AUC0-24 h) after day 7 and 14 were compared as well as the variability of each dose group between weight-band and flat-dosing. RESULTS The difference of median AUC0-24 h of all dose groups between flat-dosing and weight-band dosing were considered low (< 20%) except for the lowest dose. At the dose of 10 mg/kg (600 mg for flat-dosing), flat-dosing resulted in higher median AUC0-24h compared to the weight-band dosing. A marginal decrease in between-patient variability was predicted for weight-band dosing compared to flat-dosing. CONCLUSIONS Weight-band dosing yields a small and non-clinically relevant decrease in variability of AUC0-24h.
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Affiliation(s)
- Budi O Susanto
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Robin J Svensson
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Elin M Svensson
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.,Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rob Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Martin J Boeree
- Department of Pulmonary Diseases, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Mowry JB, Shepherd G, Hoffman RS, Lavergne V, Gosselin S, Nolin TD, Vijayan A, Kielstein JT, Roberts DM, Ghannoum M. Extracorporeal treatments for isoniazid poisoning: Systematic review and recommendations from the EXTRIP workgroup. Pharmacotherapy 2021; 41:463-478. [PMID: 33660266 DOI: 10.1002/phar.2519] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/15/2021] [Accepted: 02/17/2021] [Indexed: 11/11/2022]
Abstract
Isoniazid toxicity from self-poisoning or dosing errors remains common in regions of the world where tuberculosis is prevalent. Although the treatment of isoniazid poisoning is centered on supportive care and pyridoxine administration, extracorporeal treatments (ECTRs), such as hemodialysis, have been advocated to enhance elimination of isoniazid. No systematic reviews or evidence-based recommendations currently exist on the benefit of ECTRs for isoniazid poisoning. The Extracorporeal Treatments in Poisoning (EXTRIP) workgroup systematically collected and rated the available evidence on the effect of and indications for ECTRs in cases of isoniazid poisoning. We conducted a systematic review of the literature, screened studies, extracted data on study characteristics, outcomes, and measurement characteristics, summarized findings, and formulated recommendations following published EXTRIP methods. Forty-three studies (two animal studies, 34 patient reports or patient series, and seven pharmacokinetic studies) met inclusion criteria. Toxicokinetic or pharmacokinetic analysis was available for 60 patients, most treated with hemodialysis (n = 38). The workgroup assessed isoniazid as "Moderately Dialyzable" by hemodialysis for patients with normal kidney function (quality of evidence = C) and "Dialyzable" by hemodialysis for patients with impaired kidney function (quality of evidence = A). Clinical data for ECTR in isoniazid poisoning were available for 40 patients. Mortality of the cohort was 12.5%. Historical controls who received modern standard care including appropriately dosed pyridoxine generally had excellent outcomes. No benefit could be extrapolated from ECTR, although there was evidence of added costs and harms related to the double lumen catheter insertion, the extracorporeal procedure itself, and the extracorporeal removal of pyridoxine. The EXTRIP workgroup suggests against performing ECTR in addition to standard care (weak recommendation, very low quality of evidence) in patients with isoniazid poisoning. If standard dose pyridoxine cannot be administered, we suggest performing ECTR only in patients with seizures refractory to GABAA receptor agonists (weak recommendation, very low quality of evidence).
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Affiliation(s)
- James B Mowry
- Division of Medical Toxicology, Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Greene Shepherd
- Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA
| | - Robert S Hoffman
- Division of Medical Toxicology, Ronald O. Perelman Department of Emergency Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Valery Lavergne
- Research Center, CIUSSS du Nord-de-l'île-de-Montréal, University of Montreal, Montreal, Quebec, Canada
| | - Sophie Gosselin
- Centre Intégré de Santé et de Services Sociaux (CISSS) Montérégie-Centre Emergency Department, Hôpital Charles-Lemoyne, Greenfield Park, Quebec, Canada.,Department of Emergency Medicine, McGill University, Montreal, Quebec, Canada.,Centre Antipoison du Québec, Montréal, Quebec, Canada
| | - Thomas D Nolin
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania, USA.,Department of Medicine Renal-Electrolyte Division, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anitha Vijayan
- Division of Nephrology, Department of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Jan T Kielstein
- Medical Clinic V Nephrology, Rheumatology, Blood Purification, Academic Teaching Hospital Braunschweig, Braunschweig, Germany
| | - Darren M Roberts
- Departments of Renal Medicine and Transplantation and Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, New South Wales, Australia.,St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Drug Health Clinical Services, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Marc Ghannoum
- Research Center, CIUSSS du Nord-de-l'île-de-Montréal, University of Montreal, Montreal, Quebec, Canada
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Sturkenboom MGG, Märtson AG, Svensson EM, Sloan DJ, Dooley KE, van den Elsen SHJ, Denti P, Peloquin CA, Aarnoutse RE, Alffenaar JWC. Population Pharmacokinetics and Bayesian Dose Adjustment to Advance TDM of Anti-TB Drugs. Clin Pharmacokinet 2021; 60:685-710. [PMID: 33674941 PMCID: PMC7935699 DOI: 10.1007/s40262-021-00997-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2021] [Indexed: 02/07/2023]
Abstract
Tuberculosis (TB) is still the number one cause of death due to an infectious disease. Pharmacokinetics and pharmacodynamics of anti-TB drugs are key in the optimization of TB treatment and help to prevent slow response to treatment, acquired drug resistance, and adverse drug effects. The aim of this review was to provide an update on the pharmacokinetics and pharmacodynamics of anti-TB drugs and to show how population pharmacokinetics and Bayesian dose adjustment can be used to optimize treatment. We cover aspects on preclinical, clinical, and population pharmacokinetics of different drugs used for drug-susceptible TB and multidrug-resistant TB. Moreover, we include available data to support therapeutic drug monitoring of these drugs and known pharmacokinetic and pharmacodynamic targets that can be used for optimization of therapy. We have identified a wide range of population pharmacokinetic models for first- and second-line drugs used for TB, which included models built on NONMEM, Pmetrics, ADAPT, MWPharm, Monolix, Phoenix, and NPEM2 software. The first population models were built for isoniazid and rifampicin; however, in recent years, more data have emerged for both new anti-TB drugs, but also for defining targets of older anti-TB drugs. Since the introduction of therapeutic drug monitoring for TB over 3 decades ago, further development of therapeutic drug monitoring in TB next steps will again depend on academic and clinical initiatives. We recommend close collaboration between researchers and the World Health Organization to provide important guideline updates regarding therapeutic drug monitoring and pharmacokinetics/pharmacodynamics.
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Affiliation(s)
- Marieke G G Sturkenboom
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Anne-Grete Märtson
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Elin M Svensson
- Department of Pharmacy, Uppsala University, Uppsala, Sweden.,Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Derek J Sloan
- Institute of Infection and Global Health, University of Liverpool, Liverpool, UK.,Liverpool School of Tropical Medicine, Liverpool, UK.,School of Medicine, University of St Andrews, St Andrews, UK
| | - Kelly E Dooley
- Department of Medicine, Center for Tuberculosis Research, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Simone H J van den Elsen
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.,Department of Clinical Pharmacy, Hospital Group Twente, Almelo, Hengelo, the Netherlands
| | - Paolo Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Charles A Peloquin
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jan-Willem C Alffenaar
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. .,Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Pharmacy Building (A15), Sydney, NSW, 2006, Australia. .,Westmead Hospital, Westmead, NSW, Australia. .,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW, Australia.
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van Beek SW, Ter Heine R, Alffenaar JWC, Magis-Escurra C, Aarnoutse RE, Svensson EM. A Model-Informed Method for the Purpose of Precision Dosing of Isoniazid in Pulmonary Tuberculosis. Clin Pharmacokinet 2021; 60:943-953. [PMID: 33615419 PMCID: PMC8249295 DOI: 10.1007/s40262-020-00971-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/28/2020] [Indexed: 11/26/2022]
Abstract
Background and Objective This study aimed to develop and evaluate a population pharmacokinetic model and limited sampling strategy for isoniazid to be used in model-based therapeutic drug monitoring. Methods A population pharmacokinetic model was developed based on isoniazid and acetyl-isoniazid pharmacokinetic data from seven studies with in total 466 patients from three continents. Three limited sampling strategies were tested based on the available sampling times in the dataset and practical considerations. The tested limited sampling strategies sampled at 2, 4, and 6 h, 2 and 4 h, and 2 h after dosing. The model-predicted area under the concentration–time curve from 0 to 24 h (AUC24) and the peak concentration from the limited sampling strategies were compared to predictions using the full pharmacokinetic curve. Bias and precision were assessed using the mean error (ME) and the root mean square error (RMSE), both expressed as a percentage of the mean model-predicted AUC24 or peak concentration on the full pharmacokinetic curve. Results Performance of the developed model was acceptable and the uncertainty in parameter estimations was generally low (the highest relative standard error was 39% coefficient of variation). The limited sampling strategy with sampling at 2 and 4 h was determined as most suitable with an ME of 1.1% and RMSE of 23.4% for AUC24 prediction, and ME of 2.7% and RMSE of 23.8% for peak concentration prediction. For the performance of this strategy, it is important that data on both isoniazid and acetyl-isoniazid are used. If only data on isoniazid are available, a limited sampling strategy using 2, 4, and 6 h can be employed with an ME of 1.7% and RMSE of 20.9% for AUC24 prediction, and ME of 1.2% and RMSE of 23.8% for peak concentration prediction. Conclusions A model-based therapeutic drug monitoring strategy for personalized dosing of isoniazid using sampling at 2 and 4 h after dosing was successfully developed. Prospective evaluation of this strategy will show how it performs in a clinical therapeutic drug monitoring setting. Supplementary Information The online version contains supplementary material available at 10.1007/s40262-020-00971-2.
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Affiliation(s)
- Stijn W van Beek
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands.
| | - Rob Ter Heine
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands
| | - Jan-Willem C Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Westmead Hospital, Sydney, NSW, Australia
- Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW, Australia
| | - Cecile Magis-Escurra
- Department of Respiratory Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands
| | - Elin M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein zuid 10, 864, 6500 HB, Nijmegen, The Netherlands
- Department of Pharmacy, Uppsala University, Uppsala, Sweden
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Population Pharmacokinetic Properties of Antituberculosis Drugs in Vietnamese Children with Tuberculous Meningitis. Antimicrob Agents Chemother 2020; 65:AAC.00487-20. [PMID: 33139294 PMCID: PMC7927832 DOI: 10.1128/aac.00487-20] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 10/13/2020] [Indexed: 11/20/2022] Open
Abstract
Optimal dosing of children with tuberculous meningitis (TBM) remains uncertain and is currently based on the treatment of pulmonary tuberculosis in adults. This study aimed to investigate the population pharmacokinetics of isoniazid, rifampin, pyrazinamide, and ethambutol in Vietnamese children with TBM, to propose optimal dosing in these patients, and to determine the relationship between drug exposure and treatment outcome. A total of 100 Vietnamese children with TBM were treated with an 8-month antituberculosis regimen. Optimal dosing of children with tuberculous meningitis (TBM) remains uncertain and is currently based on the treatment of pulmonary tuberculosis in adults. This study aimed to investigate the population pharmacokinetics of isoniazid, rifampin, pyrazinamide, and ethambutol in Vietnamese children with TBM, to propose optimal dosing in these patients, and to determine the relationship between drug exposure and treatment outcome. A total of 100 Vietnamese children with TBM were treated with an 8-month antituberculosis regimen. Nonlinear mixed-effects modeling was used to evaluate the pharmacokinetic properties of the four drugs and to simulate different dosing strategies. The pharmacokinetic properties of rifampin and pyrazinamide in plasma were described successfully by one-compartment disposition models, while those of isoniazid and ethambutol in plasma were described by two-compartment disposition models. All drug models included allometric scaling of body weight and enzyme maturation during the first years of life. Cerebrospinal fluid (CSF) penetration of rifampin was relatively poor and increased with increasing protein levels in CSF, a marker of CSF inflammation. Isoniazid and pyrazinamide showed good CSF penetration. Currently recommended doses of isoniazid and pyrazinamide, but not ethambutol and rifampin, were sufficient to achieve target exposures. The ethambutol dose cannot be increased because of ocular toxicity. Simulation results suggested that rifampin dosing at 50 mg/kg of body weight/day would be required to achieve the target exposure. Moreover, low rifampin plasma exposure was associated with an increased risk of neurological disability. Therefore, higher doses of rifampin could be considered, but further studies are needed to establish the safety and efficacy of increased dosing.
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Kesenogile B, Godman B, Rwegerera GM. Alanine transaminase and hemoglobin appear to predict the occurrence of antituberculosis medication hepatotoxicity; findings and implications in Botswana. Expert Rev Anti Infect Ther 2020; 19:379-391. [PMID: 32909487 DOI: 10.1080/14787210.2020.1822735] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Tuberculosis (TB) remains a global health problem, with medications having adverse effects including drug-induced hepatotoxicity. We determined the prevalence of anti-tuberculosis drug-induced hepatotoxicity and associated risk factors. METHODS Retrospective cross-sectional study in Botswana including TB patients admitted from 1 June 2017 to 30 June 2018. Anti-TB drug-induced hepatotoxicity was categorized according to WHO criteria whereas causality assessment was made according to the updated Roussel Uclaf Causality Assessment Method (RUCAM) scale. The association between hepatotoxicity and included variables was undertaken by binary logistic regression. RESULTS Out of 112 patient files, 15 (13.4%) developed hepatotoxicity after an average of 20.4 days from the start of treatment. Grade 3 and 4 hepatotoxicity was found in 66.7% of the cases. According to the updated RUCAM tool, 86.7% of patients were categorized as having possible anti-TB-associated hepatotoxicity. Patients with elevated baseline alanine transaminase (ALT) were more likely to develop hepatotoxicity (OR = 3.484, 95% CI = 1.02-11.90). Patients with normal hemoglobin (Hb ≥ 12 g/dl) were also more likely to develop hepatotoxicity (OR = 4.413, 95% CI = 1.160-14.8). CONCLUSION Overall, normal hemoglobin and elevated baseline ALT levels were significantly associated with anti-TB drug-induced hepatotoxicity. Additional research is needed to explore this association further.
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Affiliation(s)
| | - Brian Godman
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.,School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.,Division of Clinical Pharmacology, Karolinska Institute, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Godfrey Mutashambara Rwegerera
- Department of Medicine, Princess Marina Hospital, Gaborone, Botswana.,Department of Internal Medicine, University of Botswana, Gaborone, Botswana
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Hernández-González O, Zarazúa S, Veytia-Bucheli JI, González-Chávez MM, Rodríguez-Pinal CJ, Medellín-Garibay SE, Uresti-Rivera EE, Pérez-Vázquez FJ, Portales-Pérez DP, Romano-Moreno S, Milán-Segovia RDC. Quantification of pyrazinamide, isoniazid, acetyl-isoniazid, and rifampicin by a high-performance liquid chromatography method in human plasma from patients with tuberculosis. J Sep Sci 2020; 44:521-529. [PMID: 33200497 DOI: 10.1002/jssc.202000672] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 10/18/2020] [Accepted: 11/09/2020] [Indexed: 11/11/2022]
Abstract
The aim of this study was to establish and validate an alternative high-performance liquid chromatography method for simultaneous quantification of pyrazinamide, isoniazid, acetyl-isoniazid and rifampicin in plasma of patients under treatment for tuberculosis. The performed method was lineal (r2 > 0.99) in the range of 2.00-50.00 μg/mL for pyrazinamide, 0.50-20.00 μg/mL for both acetyl-isoniazid and isoniazid, and 1.20-25.00 μg/mL for rifampicin. Precision and trueness were demonstrated with coefficient of variation < 15% and deviations < 15%, respectively, for quality controls samples. The lower limits of quantification were 2.00, 0.50, 0.50, and 1.20 μg/mL for pyrazinamide, isoniazid, acetyl-isoniazid and rifampicin, respectively. The method was applied for the analysis of plasma from patients with tuberculosis. This method allowed ensuring reliable quantification of the target compounds and their pharmacokinetics parameters. In general, the mean values of maximum concentration of each antituberculosis drug were located within their respective reference therapeutic ranges. However, patients with sub-therapeutic plasma concentrations of isoniazid and rifampicin were detected. This is the first analytical technique that simultaneously quantifies isoniazid, acetyl-isoniazid, rifampicin, and pyrazinamide concentrations from plasma samples by high-performance liquid chromatography with ultraviolet/visible. The proposed method could be applied for therapeutic drug monitoring and pharmacokinetics studies of the four compounds throughout the treatment of tuberculosis patients.
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Affiliation(s)
| | - Sergio Zarazúa
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP, México
| | | | | | | | | | - Edith Elena Uresti-Rivera
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP, México
| | | | | | - Silvia Romano-Moreno
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, SLP, México
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Clinical Pharmacokinetics and Pharmacodynamics of Anti-Tubercular Drugs in Pregnancy. Eur J Drug Metab Pharmacokinet 2020; 46:1-24. [PMID: 33206364 DOI: 10.1007/s13318-020-00657-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The objectives of this qualitative review were to critically evaluate and summarize the currently available data on the use of anti-tuberculosis (TB) drugs during pregnancy, with a focus on treatment outcomes, safety, and pharmacokinetics. This qualitative, narrative review was based on literature searches in Medline, Pubmed, Embase, and Google Scholar (from their inception to 13 August 2020). Our search identified 22 papers related to treatment outcomes and 14 papers related to pharmacokinetic exposures and fetal distributions. While it is challenging to study this patient population, current evidence supports treatment of drug-susceptible TB, multidrug-resistant TB and latent TB infections. However, decisions regarding initiating, continuing, or discontinuing anti-tubercular medications while pregnant should be individualized and discussed with a specialist. Similarly, the pharmacokinetic data of anti-TB agents were mainly derived from small scale, observational studies many of which lacked high quality controls. Based on these data, it does not appear that pregnancy has an extensive impact on the pharmacokinetics of the majority of first-line and second-line agents, although caution (discussed in the review) should be exercised in data interpretation. Fetal drug exposure can also be significant and should be considered when selecting an anti-TB agent for longer term treatment. Overall, it is generally difficult to predict pregnancy-associated pharmacokinetic changes based only on drug's physiochemical characteristics.
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Märtson AG, Burch G, Ghimire S, Alffenaar JWC, Peloquin CA. Therapeutic drug monitoring in patients with tuberculosis and concurrent medical problems. Expert Opin Drug Metab Toxicol 2020; 17:23-39. [PMID: 33040625 DOI: 10.1080/17425255.2021.1836158] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Therapeutic drug monitoring (TDM) has been recommended for treatment optimization in tuberculosis (TB) but is only is used in certain countries e.g. USA, Germany, the Netherlands, Sweden and Tanzania. Recently, new drugs have emerged and PK studies in TB are continuing, which contributes further evidence for TDM in TB. The aim of this review is to provide an update on drugs used in TB, treatment strategies for these drugs, and TDM to support broader implementation. AREAS COVERED This review describes the different drug classes used for TB, multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB), along with their pharmacokinetics, dosing strategies, TDM and sampling strategies. Moreover, the review discusses TDM for patient TB and renal or liver impairment, patients co-infected with HIV or hepatitis, and special patient populations - children and pregnant women. EXPERT OPINION TB treatment has a long history of using 'one size fits all.' This has contributed to treatment failures, treatment relapses, and the selection of drug-resistant isolates. While challenging in resource-limited circumstances, TDM offers the clinician the opportunity to individualize and optimize treatment early in treatment. This approach may help to refine treatment and thereby reduce adverse effects and poor treatment outcomes. Funding, training, and randomized controlled trials are needed to advance the use of TDM for patients with TB.
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Affiliation(s)
- Anne-Grete Märtson
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen , Groningen, The Netherlands
| | - Gena Burch
- Infectious Disease Pharmacokinetics Laboratory, College of Pharmacy and Emerging Pathogens Institute, University of Florida , Gainesville, FL, USA
| | - Samiksha Ghimire
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen , Groningen, The Netherlands
| | - Jan-Willem C Alffenaar
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen , Groningen, The Netherlands.,Department of Pharmacy, Westmead Hospital , Sydney, Australia.,Sydney Pharmacy School, The University of Sydney , Sydney, New South Wales, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney , Sydney, Australia
| | - Charles A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, College of Pharmacy and Emerging Pathogens Institute, University of Florida , Gainesville, FL, USA
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Hong BL, D'Cunha R, Li P, Al-Shaer MH, Alghamdi WA, An G, Peloquin C. A Systematic Review and Meta-analysis of Isoniazid Pharmacokinetics in Healthy Volunteers and Patients with Tuberculosis. Clin Ther 2020; 42:e220-e241. [PMID: 33032843 DOI: 10.1016/j.clinthera.2020.09.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/09/2020] [Accepted: 09/15/2020] [Indexed: 12/29/2022]
Abstract
PURPOSE This systematic review and meta-analysis assesses the pharmacokinetic (PK) summary estimates of isoniazid (INH) between healthy volunteers and patients with tuberculosis (TB), evaluates whether the current INH dose regimen is appropriate in patients with TB, and evaluates the impact of N-acetyl-transferase-2 (NAT2) status on the PK properties of INH. METHODS A systematic approach was conducted to find studies with relevant INH PK data published in the English language up to February 2018. The PK properties of INH were extracted with their respective INH dosages and were dose normalized to allow a fair comparison between healthy volunteers and patients with TB. Meta-analysis was then performed for the Cmax and AUC estimates for all INH dosages. FINDINGS Ninety studies were included in this systematic review. TB status significantly affected the INH Cmax and AUC estimates. In healthy volunteers, the dose-normalized INH Cmax and AUC were statistically higher than those of patients with TB. No significant differences were found in dose-normalized Cmax and AUC between adults with TB and adults with TB/HIV; however, the AUC in pediatric patients was significantly different between patients with TB and patients with TB/HIV. In addition, no significance was observed comparing the dose-normalized Cmax and AUC of pediatric patients with TB and TB/HIV with their respective adult counterparts. Dose-normalized INH Cmax and AUC in patients with fast and intermediate NAT2 were significantly lower than in patients with slow NAT2. IMPLICATIONS The current recommended dosages of INH were found to produce less drug exposure in patients with TB when compared with healthy volunteers. NAT2 polymorphism greatly impacts the PK properties of INH; hence, testing for acetylator status is highly recommended, and therapeutic drug monitoring would help reduce INH toxicity.
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Affiliation(s)
- Boi-Lam Hong
- College of Pharmacy, University of Iowa, Iowa City, IA, USA
| | - Ronilda D'Cunha
- Division of Pharmaceutics and Translational Therapeutics, College of Pharmacy, University of Iowa, Iowa City, IA, USA
| | - Peizhi Li
- College of Pharmacy, University of Iowa, Iowa City, IA, USA
| | - Mohammad H Al-Shaer
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
| | - Wael A Alghamdi
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Guohua An
- Division of Pharmaceutics and Translational Therapeutics, College of Pharmacy, University of Iowa, Iowa City, IA, USA
| | - Charles Peloquin
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
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Gao Y, Davies Forsman L, Ren W, Zheng X, Bao Z, Hu Y, Bruchfeld J, Alffenaar JW. Drug exposure of first-line anti-tuberculosis drugs in China: A prospective pharmacological cohort study. Br J Clin Pharmacol 2020; 87:1347-1358. [PMID: 33464624 DOI: 10.1111/bcp.14522] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 07/27/2020] [Accepted: 08/03/2020] [Indexed: 01/02/2023] Open
Abstract
AIM Exploring the need for optimization of drug exposure to improve tuberculosis (TB) treatment outcome is of great importance. We aimed to describe drug exposure at steady state as well as the population pharmacokinetics (PK) of rifampicin (RIF), isoniazid (INH) and pyrazinamide (PZA) in Chinese TB patients. METHODS A prospective multicentre PK study of RIF, INH and PZA was conducted in China between January 2015 and December 2017. Six blood samples were collected from each subject for drug concentration measurement. Nonlinear mixed effect analyses were used to develop population PK models. RESULTS In total, 217 patients were included. Positive correlations between body weight, clearance and volume of distribution were identified for RIF and PZA, whereas body weight only influenced clearance for INH. In addition, males had higher RIF clearance and thus lower RIF exposure than women. Acetylator status was significantly associated with INH clearance as INH exposure in intermediate and fast acetylators was significantly lower than in slow acetylators, especially in low-weight bands. Simulations also showed significantly lower drug exposures in low-weight bands for all three drugs. Patients weighing <38 kg were respectively exposed to 30.4%, 45.9% and 18.0% lower area under the concentration-time curve of RIF, INH and PZA than those weighing ≥70 kg. Higher doses by addition of one fixed-dose combination tablet or 150 mg INH were simulated and found to be effective in improving INH drug exposures, especially in low-weight bands. CONCLUSION PK variability of first-line anti-TB drugs is common in Chinese TB patients. The developed population PK models can be used to optimize drug exposures in Chinese patients. Moreover, standard dosing needs to be adjusted to increase target attainment.
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Affiliation(s)
- Yazhou Gao
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Lina Davies Forsman
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Division of Infectious Diseases, Karolinska Institutet Solna, Stockholm, Sweden
| | - Weihua Ren
- Central Laboratory, First Affiliated Hospital, Henan University of Science and Technology, Luoyang, Henan, China
| | - Xubin Zheng
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Ziwei Bao
- Department of Infectious Diseases, Suzhou Fifth People's Hospital, Jiangsu, China
| | - Yi Hu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Judith Bruchfeld
- Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.,Department of Medicine, Division of Infectious Diseases, Karolinska Institutet Solna, Stockholm, Sweden
| | - Jan-Willem Alffenaar
- School of Pharmacy and Westmead Hospital, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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Mehta K, Ravimohan S, Pasipanodya JG, Srivastava S, Modongo C, Zetola NM, Weissman D, Ivaturi V, Gumbo T, Bisson GP, Vinnard C. Optimizing ethambutol dosing among HIV/tuberculosis co-infected patients: a population pharmacokinetic modelling and simulation study. J Antimicrob Chemother 2020; 74:2994-3002. [PMID: 31273386 DOI: 10.1093/jac/dkz265] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 05/22/2019] [Accepted: 05/27/2019] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Reduced ethambutol serum concentrations are commonly observed among TB patients co-infected with HIV and may lead to treatment failure. OBJECTIVES To perform a population pharmacokinetic study of ethambutol in HIV/TB patients, and to evaluate an intensified ethambutol weight-based dosing strategy to support pharmacokinetic target attainment. METHODS We conducted a prospective study of ethambutol pharmacokinetics among HIV/TB patients administered first-line TB treatment in Botswana, with study visits before and after initiation of ART. Clinical and disease status markers, including HIV-associated systemic immune activation and gut dysfunction biomarkers, were evaluated as covariates of ethambutol pharmacokinetic parameters in non-linear mixed effects analysis. Monte Carlo simulations were performed to compare pharmacokinetic target attainment under standard and intensified weight-based ethambutol dosing strategies. RESULTS We studied 40 HIV/TB patients prior to initiation of ART, of whom 24 returned for a second visit a median of 33 days following ART initiation. Ethambutol serum concentrations were best explained by a two-compartment model with first-order elimination, with a significant improvement in oral bioavailability following ART initiation. In Monte Carlo simulations, a supplementary ethambutol dose of 400 mg daily led to >2-fold improvements in pharmacokinetic target attainment probabilities in lung tissue, both before and after ART initiation. CONCLUSIONS Low serum ethambutol concentrations were commonly observed among HIV/TB patients in Botswana, and the oral bioavailability of ethambutol increased following ART initiation. Supplementary ethambutol dosing among HIV/TB patients may provide a strategy to optimize anti-TB treatment regimens in this high-risk population.
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Affiliation(s)
- Krina Mehta
- Center for Translational Medicine, University of Maryland, Baltimore, MD, USA
| | | | - Jotam G Pasipanodya
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Shashikant Srivastava
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | | | | | - Drew Weissman
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Vijay Ivaturi
- Center for Translational Medicine, University of Maryland, Baltimore, MD, USA
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, TX, USA
| | - Gregory P Bisson
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Christopher Vinnard
- Public Health Research Institute, New Jersey Medical School, Newark, NJ, USA
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A Systematic Review on the Effect of HIV Infection on the Pharmacokinetics of First-Line Tuberculosis Drugs. Clin Pharmacokinet 2020; 58:747-766. [PMID: 30406475 PMCID: PMC7019645 DOI: 10.1007/s40262-018-0716-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Introduction Contrasting findings have been published regarding the effect of human immunodeficiency virus (HIV) on tuberculosis (TB) drug pharmacokinetics (PK). Objectives The aim of this systematic review was to investigate the effect of HIV infection on the PK of the first-line TB drugs (FLDs) rifampicin, isoniazid, pyrazinamide and ethambutol by assessing all published literature. Methods Searches were performed in MEDLINE (through PubMed) and EMBASE to find original studies evaluating the effect of HIV infection on the PK of FLDs. The included studies were assessed for bias and clinical relevance. PK data were extracted to provide insight into the difference of FLD PK between HIV-positive and HIV-negative TB patients. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and its protocol was registered at PROSPERO (registration number CRD42017067250). Results Overall, 27 studies were eligible for inclusion. The available studies provide a heterogeneous dataset from which consistent results could not be obtained. In both HIV-positive and HIV-negative TB groups, rifampicin (13 of 15) and ethambutol (4 of 8) peak concentration (Cmax) often did not achieve the minimum reference values. More than half of the studies (11 of 20) that included both HIV-positive and HIV-negative TB groups showed statistically significantly altered FLD area under the concentration–time curve and/or Cmax for at least one FLD. Conclusions HIV infection may be one of several factors that reduce FLD exposure. We could not make general recommendations with respect to the role of dosing. There is a need for consistent and homogeneous studies to be conducted.
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49
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Population pharmacokinetics of isoniazid and dose recommendations in Mexican patients with tuberculosis. Int J Clin Pharm 2020; 42:1217-1226. [DOI: 10.1007/s11096-020-01086-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 06/17/2020] [Indexed: 11/25/2022]
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50
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Chan Kwong AHXP, Calvier EAM, Fabre D, Gattacceca F, Khier S. Prior information for population pharmacokinetic and pharmacokinetic/pharmacodynamic analysis: overview and guidance with a focus on the NONMEM PRIOR subroutine. J Pharmacokinet Pharmacodyn 2020; 47:431-446. [PMID: 32535847 PMCID: PMC7520416 DOI: 10.1007/s10928-020-09695-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 06/08/2020] [Indexed: 12/13/2022]
Abstract
Abstract Population pharmacokinetic analysis is used to estimate pharmacokinetic parameters and their variability from concentration data. Due to data sparseness issues, available datasets often do not allow the estimation of all parameters of the suitable model. The PRIOR subroutine in NONMEM supports the estimation of some or all parameters with values from previous models, as an alternative to fixing them or adding data to the dataset. From a literature review, the best practices were compiled to provide a practical guidance for the use of the PRIOR subroutine in NONMEM. Thirty-three articles reported the use of the PRIOR subroutine in NONMEM, mostly in special populations. This approach allowed fast, stable and satisfying modelling. The guidance provides general advice on how to select the most appropriate reference model when there are several previous models available, and to implement and weight the selected parameter values in the PRIOR function. On the model built with PRIOR, the similarity of estimates with the ones of the reference model and the sensitivity of the model to the PRIOR values should be checked. Covariates could be implemented a priori (from the reference model) or a posteriori, only on parameters estimated without prior (search for new covariates). Graphic abstract ![]()
Electronic supplementary material The online version of this article (10.1007/s10928-020-09695-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anna H-X P Chan Kwong
- Pharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France.
- Probabilities and Statistics Department, Institut Montpelliérain Alexander Grothendieck (IMAG), UMR 5149, CNRS, Montpellier University, Montpellier, France.
- SMARTc group, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Aix-Marseille University, Marseille, France.
- Pharmacokinetics-Dynamics and Metabolism (PKDM), Sanofi R&D, Translational Medicine and Early Development, Montpellier, France.
| | - Elisa A M Calvier
- Pharmacokinetics-Dynamics and Metabolism (PKDM), Sanofi R&D, Translational Medicine and Early Development, Montpellier, France
| | - David Fabre
- Pharmacokinetics-Dynamics and Metabolism (PKDM), Sanofi R&D, Translational Medicine and Early Development, Montpellier, France
| | - Florence Gattacceca
- SMARTc group, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Aix-Marseille University, Marseille, France
| | - Sonia Khier
- Pharmacokinetic and Modeling Department, School of Pharmacy, Montpellier University, Montpellier, France
- Probabilities and Statistics Department, Institut Montpelliérain Alexander Grothendieck (IMAG), UMR 5149, CNRS, Montpellier University, Montpellier, France
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