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Carnero Canales CS, Marquez Cazorla JI, Marquez Cazorla RM, Roque-Borda CA, Polinário G, Figueroa Banda RA, Sábio RM, Chorilli M, Santos HA, Pavan FR. Breaking barriers: The potential of nanosystems in antituberculosis therapy. Bioact Mater 2024; 39:106-134. [PMID: 38783925 PMCID: PMC11112550 DOI: 10.1016/j.bioactmat.2024.05.013] [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: 01/31/2024] [Revised: 04/17/2024] [Accepted: 05/05/2024] [Indexed: 05/25/2024] Open
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis, continues to pose a significant threat to global health. The resilience of TB is amplified by a myriad of physical, biological, and biopharmaceutical barriers that challenge conventional therapeutic approaches. This review navigates the intricate landscape of TB treatment, from the stealth of latent infections and the strength of granuloma formations to the daunting specters of drug resistance and altered gene expression. Amidst these challenges, traditional therapies often fail, contending with inconsistent bioavailability, prolonged treatment regimens, and socioeconomic burdens. Nanoscale Drug Delivery Systems (NDDSs) emerge as a promising beacon, ready to overcome these barriers, offering better drug targeting and improved patient adherence. Through a critical approach, we evaluate a spectrum of nanosystems and their efficacy against MTB both in vitro and in vivo. This review advocates for the intensification of research in NDDSs, heralding their potential to reshape the contours of global TB treatment strategies.
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Affiliation(s)
| | | | | | - Cesar Augusto Roque-Borda
- Tuberculosis Research Laboratory, School of Pharmaceutical Science, Sao Paulo State University (UNESP), Araraquara, 14800-903, Brazil
| | - Giulia Polinário
- Tuberculosis Research Laboratory, School of Pharmaceutical Science, Sao Paulo State University (UNESP), Araraquara, 14800-903, Brazil
| | | | - Rafael Miguel Sábio
- School of Pharmaceutical Science, Sao Paulo State University (UNESP), Araraquara, 14800-903, Brazil
- Department of Biomaterials and Biomedical Technology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, 9713 AV, the Netherlands
| | - Marlus Chorilli
- School of Pharmaceutical Science, Sao Paulo State University (UNESP), Araraquara, 14800-903, Brazil
| | - Hélder A. Santos
- Department of Biomaterials and Biomedical Technology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, 9713 AV, the Netherlands
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, FI-00014, Finland
| | - Fernando Rogério Pavan
- Tuberculosis Research Laboratory, School of Pharmaceutical Science, Sao Paulo State University (UNESP), Araraquara, 14800-903, Brazil
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2
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Gafar F, Yunivita V, Fregonese F, Apriani L, Aarnoutse RE, Ruslami R, Menzies D. Pharmacokinetics of standard versus high-dose rifampin for tuberculosis preventive treatment: A sub-study of the 2R 2 randomized controlled trial. Int J Antimicrob Agents 2024; 64:107197. [PMID: 38750674 DOI: 10.1016/j.ijantimicag.2024.107197] [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: 11/23/2023] [Revised: 03/18/2024] [Accepted: 05/06/2024] [Indexed: 06/09/2024]
Abstract
BACKGROUND Pharmacokinetic data of rifampin, when used for tuberculosis preventive treatment (TPT) are not available. We aimed to describe the pharmacokinetics of rifampin used for TPT, at standard and higher doses, and to assess predictors of rifampin exposure. METHODS A pharmacokinetic sub-study was performed in Bandung, Indonesia among participants in the 2R2 randomized trial, which compared TPT regimens of 2 months of high-dose rifampin at 20 mg/kg/day (2R20) and 30 mg/kg/day (2R30), with 4 months of standard-dose rifampin at 10 mg/kg/day (4R10) in adolescents and adults. Intensive pharmacokinetic sampling was performed after 2-8 weeks of treatment. Pharmacokinetic parameters were assessed non-compartmentally. Total exposure (AUC0-24) and peak concentration (Cmax) between arms were compared using one-way ANOVA and Tukey's post-hoc tests. Multivariable linear regression analyses were used to assess predictors of AUC0-24 and Cmax. RESULTS We enrolled 51 participants in this study. In the 4R10, 2R20, and 2R30 arms, the geometric mean AUC0-24 was 68.0, 186.8, and 289.9 h⋅mg/L, and Cmax was 18.4, 36.7, and 54.4 mg/L, respectively; high interindividual variabilities were observed. Compared with the 4R10 arm, AUC0-24 and Cmax were significantly higher in the 2R20 and 2R30 arms (P < 0.001). Drug doses, body weight, and female sex were predictors of higher rifampin AUC0-24 and Cmax (P < 0.05). AUC0-24 and Cmax values were much higher than those previously reported in persons with TB disease. CONCLUSIONS Doubling and tripling the rifampin dose led to three- and four-fold higher exposure compared to standard dose. Pharmacokinetic/pharmacodynamic modelling and simulations are warranted to support trials of shortening the duration of TPT regimens with high-dose rifampin.
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Affiliation(s)
- Fajri Gafar
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada; McGill International TB Centre, McGill University, Montreal, Quebec, Canada; Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Vycke Yunivita
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia; TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
| | - Federica Fregonese
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada; McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Lika Apriani
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia; Division of Epidemiology and Biostatistics, Department of Public Health, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Medical Innovation, Radboud university medical center, Nijmegen, The Netherlands
| | - Rovina Ruslami
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada; Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia; TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
| | - Dick Menzies
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada; McGill International TB Centre, McGill University, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada; Montreal Chest Institute, McGill University Health Centre, Montreal, Quebec, Canada.
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3
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Yunivita V, Gafar F, Santoso P, Chaidir L, Soeroto AY, Meirina TN, Te Brake L, Menzies D, Aarnoutse RE, Ruslami R. Pharmacokinetics and pharmacodynamics of high-dose isoniazid for the treatment of rifampicin- or multidrug-resistant tuberculosis in Indonesia. J Antimicrob Chemother 2024; 79:977-986. [PMID: 38459759 PMCID: PMC11062943 DOI: 10.1093/jac/dkae057] [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: 08/03/2023] [Accepted: 02/20/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Pharmacokinetic data on high-dose isoniazid for the treatment of rifampicin-/multidrug-resistant tuberculosis (RR/MDR-TB) are limited. We aimed to describe the pharmacokinetics of high-dose isoniazid, estimate exposure target attainment, identify predictors of exposures, and explore exposure-response relationships in RR/MDR-TB patients. METHODS We performed an observational pharmacokinetic study, with exploratory pharmacokinetic/pharmacodynamic analyses, in Indonesian adults aged 18-65 years treated for pulmonary RR/MDR-TB with standardized regimens containing high-dose isoniazid (10-15 mg/kg/day) for 9-11 months. Intensive pharmacokinetic sampling was performed after ≥2 weeks of treatment. Total plasma drug exposure (AUC0-24) and peak concentration (Cmax) were assessed using non-compartmental analyses. AUC0-24/MIC ratio of 85 and Cmax/MIC ratio of 17.5 were used as exposure targets. Multivariable linear and logistic regression analyses were used to identify predictors of drug exposures and responses, respectively. RESULTS We consecutively enrolled 40 patients (median age 37.5 years). The geometric mean isoniazid AUC0-24 and Cmax were 35.4 h·mg/L and 8.5 mg/L, respectively. Lower AUC0-24 and Cmax values were associated (P < 0.05) with non-slow acetylator phenotype, and lower Cmax values were associated with male sex. Of the 26 patients with MIC data, less than 25% achieved the proposed targets for isoniazid AUC0-24/MIC (n = 6/26) and Cmax/MIC (n = 5/26). Lower isoniazid AUC0-24 values were associated with delayed sputum culture conversion (>2 months of treatment) [adjusted OR 0.18 (95% CI 0.04-0.89)]. CONCLUSIONS Isoniazid exposures below targets were observed in most patients, and certain risk groups for low isoniazid exposures may require dose adjustment. The effect of low isoniazid exposures on delayed culture conversion deserves attention.
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Affiliation(s)
- Vycke Yunivita
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
| | - Fajri Gafar
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Office 3D.21, Montreal, Quebec H4A 3S5, Canada
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Prayudi Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran and Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Lidya Chaidir
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
- Division of Microbiology, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Arto Y Soeroto
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran and Hasan Sadikin General Hospital, Bandung, Indonesia
| | - Triana N Meirina
- Pharmacokinetic Laboratory, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Lindsey Te Brake
- Department of Pharmacy, Radboud Institute for Medical Innovation, Radboud university medical center, Nijmegen, the Netherlands
| | - Dick Menzies
- Respiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Office 3D.21, Montreal, Quebec H4A 3S5, Canada
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Medical Innovation, Radboud university medical center, Nijmegen, the Netherlands
| | - Rovina Ruslami
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
- TB Working Group, Research Center for Care and Control of Infectious Diseases, Universitas Padjadjaran, Bandung, Indonesia
- McGill International TB Centre, McGill University, Montreal, Quebec, Canada
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4
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Thu NQ, Tien NTN, Yen NTH, Duong TH, Long NP, Nguyen HT. Push forward LC-MS-based therapeutic drug monitoring and pharmacometabolomics for anti-tuberculosis precision dosing and comprehensive clinical management. J Pharm Anal 2024; 14:16-38. [PMID: 38352944 PMCID: PMC10859566 DOI: 10.1016/j.jpha.2023.09.009] [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: 05/08/2023] [Revised: 08/25/2023] [Accepted: 09/18/2023] [Indexed: 02/16/2024] Open
Abstract
The spread of tuberculosis (TB), especially multidrug-resistant TB and extensively drug-resistant TB, has strongly motivated the research and development of new anti-TB drugs. New strategies to facilitate drug combinations, including pharmacokinetics-guided dose optimization and toxicology studies of first- and second-line anti-TB drugs have also been introduced and recommended. Liquid chromatography-mass spectrometry (LC-MS) has arguably become the gold standard in the analysis of both endo- and exo-genous compounds. This technique has been applied successfully not only for therapeutic drug monitoring (TDM) but also for pharmacometabolomics analysis. TDM improves the effectiveness of treatment, reduces adverse drug reactions, and the likelihood of drug resistance development in TB patients by determining dosage regimens that produce concentrations within the therapeutic target window. Based on TDM, the dose would be optimized individually to achieve favorable outcomes. Pharmacometabolomics is essential in generating and validating hypotheses regarding the metabolism of anti-TB drugs, aiding in the discovery of potential biomarkers for TB diagnostics, treatment monitoring, and outcome evaluation. This article highlighted the current progresses in TDM of anti-TB drugs based on LC-MS bioassay in the last two decades. Besides, we discussed the advantages and disadvantages of this technique in practical use. The pressing need for non-invasive sampling approaches and stability studies of anti-TB drugs was highlighted. Lastly, we provided perspectives on the prospects of combining LC-MS-based TDM and pharmacometabolomics with other advanced strategies (pharmacometrics, drug and vaccine developments, machine learning/artificial intelligence, among others) to encapsulate in an all-inclusive approach to improve treatment outcomes of TB patients.
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Affiliation(s)
- Nguyen Quang Thu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Nguyen Tran Nam Tien
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Nguyen Thi Hai Yen
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Thuc-Huy Duong
- Department of Chemistry, University of Education, Ho Chi Minh City, 700000, Viet Nam
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Huy Truong Nguyen
- Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, 700000, Viet Nam
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5
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du Cros P, Greig J, Alffenaar JWC, Cross GB, Cousins C, Berry C, Khan U, Phillips PPJ, Velásquez GE, Furin J, Spigelman M, Denholm JT, Thi SS, Tiberi S, Huang GKL, Marks GB, Turkova A, Guglielmetti L, Chew KL, Nguyen HT, Ong CWM, Brigden G, Singh KP, Motta I, Lange C, Seddon JA, Nyang'wa BT, Maug AKJ, Gler MT, Dooley KE, Quelapio M, Tsogt B, Menzies D, Cox V, Upton CM, Skrahina A, McKenna L, Horsburgh CR, Dheda K, Marais BJ. Standards for clinical trials for treating TB. Int J Tuberc Lung Dis 2023; 27:885-898. [PMID: 38042969 PMCID: PMC10719894 DOI: 10.5588/ijtld.23.0341] [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: 07/25/2023] [Accepted: 08/21/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND: The value, speed of completion and robustness of the evidence generated by TB treatment trials could be improved by implementing standards for best practice.METHODS: A global panel of experts participated in a Delphi process, using a 7-point Likert scale to score and revise draft standards until consensus was reached.RESULTS: Eleven standards were defined: Standard 1, high quality data on TB regimens are essential to inform clinical and programmatic management; Standard 2, the research questions addressed by TB trials should be relevant to affected communities, who should be included in all trial stages; Standard 3, trials should make every effort to be as inclusive as possible; Standard 4, the most efficient trial designs should be considered to improve the evidence base as quickly and cost effectively as possible, without compromising quality; Standard 5, trial governance should be in line with accepted good clinical practice; Standard 6, trials should investigate and report strategies that promote optimal engagement in care; Standard 7, where possible, TB trials should include pharmacokinetic and pharmacodynamic components; Standard 8, outcomes should include frequency of disease recurrence and post-treatment sequelae; Standard 9, TB trials should aim to harmonise key outcomes and data structures across studies; Standard 10, TB trials should include biobanking; Standard 11, treatment trials should invest in capacity strengthening of local trial and TB programme staff.CONCLUSION: These standards should improve the efficiency and effectiveness of evidence generation, as well as the translation of research into policy and practice.
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Affiliation(s)
- P du Cros
- Burnet Institute, Melbourne, VIC, Monash Infectious Diseases, Monash Health, Melbourne, VIC, Australia
| | - J Greig
- Burnet Institute, Melbourne, VIC, Médecins Sans Frontières (MSF), Manson Unit, London, UK
| | - J-W C Alffenaar
- Sydney Infectious Diseases Institute (Sydney ID), and, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Westmead Hospital, Sydney, NSW
| | - G B Cross
- Burnet Institute, Melbourne, VIC, Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - C Cousins
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, Institute of Clinical Trials and Methodology, University College London, London, UK
| | - C Berry
- Médecins Sans Frontières (MSF), Manson Unit, London, UK
| | - U Khan
- Interactive Research and Development Global, Singapore City, Singapore
| | - P P J Phillips
- UCSF Center for Tuberculosis, Division of Pulmonary and Critical Care Medicine, and
| | - G E Velásquez
- UCSF Center for Tuberculosis, Division of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA
| | - J Furin
- Harvard Medical School, Department of Global Health and Social Medicine, Boston, MA
| | - M Spigelman
- Global Alliance for TB Drug Development, New York, NY, USA
| | - J T Denholm
- Victorian Tuberculosis Program, Melbourne Health, Melbourne, VIC, Department of Infectious Diseases, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - S S Thi
- Eswatini National TB Control Program, Mbabane, Kingdom of Eswatini
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, GlaxoSmithKline, London, UK
| | - G K L Huang
- Burnet Institute, Melbourne, VIC, Northern Health Infectious Diseases, Northern Health, Melbourne, VIC
| | - G B Marks
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - A Turkova
- Medical Research Council Clinical Trials Unit at University College London, London, UK
| | - L Guglielmetti
- Médecins Sans Frontières (MSF), Paris, Sorbonne Université, Institut national de la santé et de la recherche médicale, Unité 1135, Centre d'Immunologie et des Maladies Infectieuses, Paris, Assistance Publique Hôpitaux de Paris (APHP), Groupe Hospitalier Universitaire Sorbonne Université, Hôpital Pitié-Salpêtrière, Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries, Paris, France
| | - K L Chew
- Department of Laboratory Medicine, National University Hospital, Singapore City, Singapore
| | - H T Nguyen
- Research Department, Friends for International TB Relief, Ha Noi, Vietnam
| | - C W M Ong
- Infectious Diseases Translational Research Programme, Department of Medicine, National University of Singapore, Singapore City, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore City, Institute of Healthcare Innovation & Technology, National University of Singapore, Singapore City, Singapore
| | - G Brigden
- The Global Fund, Geneva, Switzerland
| | - K P Singh
- Department of Infectious Diseases, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia, Victorian Infectious Disease Unit, Royal Melbourne Hospital, Melbourne, VIC, Australia
| | | | - C Lange
- Division of Clinical Infectious Diseases, Research Center Borstel, Borstel, German Center for Infection Research (DZIF), TTU-TB, Borstel, Respiratory Medicine & International Health, University of Lübeck, Lübeck, Germany, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - J A Seddon
- Department of Infectious Disease, Imperial College London, London, UK, Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - B-T Nyang'wa
- Public Health Department, Operational Center Amsterdam (OCA), MSF, Amsterdam, The Netherlands
| | - A K J Maug
- Damien Foundation Bangladesh, Dhaka, Bangladesh
| | - M T Gler
- De La Salle Medical and Health Sciences Institute, Dasmariñas, the Philippines
| | - K E Dooley
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, TN, USA
| | - M Quelapio
- Tropical Disease Foundation, Makati City, Manila, the Philippines, KNCV Tuberculosis Foundation, The Hague, The Netherlands
| | - B Tsogt
- Mongolian Anti-TB Coalition, Ulaanbaatar, Mongolia
| | - D Menzies
- Respiratory Epidemiology and Clinical Research Unit, Montreal Chest Institute & McGill International TB Centre, Montreal, QC, Canada
| | - V Cox
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town
| | - C M Upton
- TASK Applied Science, Cape Town, South Africa
| | - A Skrahina
- The Republican Scientific and Practical Center for Pulmonology and TB, Minsk, Belarus
| | - L McKenna
- Treatment Action Group, New York, NY
| | - C R Horsburgh
- Departments of Global Health, Epidemiology, Biostatistics and Medicine, Schools of Public Health and Medicine, Boston University, Boston MA, USA
| | - K Dheda
- Centre for Lung Infection and Immunity, Division of Pulmonology, Department of Medicine and UCT Lung Institute & South African MRC/UCT Centre for the Study of Antimicrobial Resistance, University of Cape Town, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - B J Marais
- Sydney Infectious Diseases Institute (Sydney ID), and, The Children's Hospital at Westmead, Sydney, NSW, WHO Collaborating Centre in Tuberculosis, The University of Sydney, Sydney, NSW, Australia
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6
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Xie YL, Modi N, Handler D, Yu S, Rao P, Kagan L, Petros de Guex K, Reiss R, Siemiątkowska A, Narang A, Narayanan N, Hearn J, Khalil A, Woods P, Young L, Lardizabal A, Subbian S, Peloquin CA, Vinnard C, Thomas TA, Heysell SK. Simplified urine-based method to detect rifampin underexposure in adults with tuberculosis: a prospective diagnostic accuracy study. Antimicrob Agents Chemother 2023; 67:e0093223. [PMID: 37877727 PMCID: PMC10648923 DOI: 10.1128/aac.00932-23] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 08/28/2023] [Indexed: 10/26/2023] Open
Abstract
Variable pharmacokinetics of rifampin in tuberculosis (TB) treatment can lead to poor outcomes. Urine spectrophotometry is simpler and more accessible than recommended serum-based drug monitoring, but its optimal efficacy in predicting serum rifampin underexposure in adults with TB remains uncertain. Adult TB patients in New Jersey and Virginia receiving rifampin-containing regimens were enrolled. Serum and urine samples were collected over 24 h. Rifampin serum concentrations were measured using validated liquid chromatography-tandem mass spectrometry, and total exposure (area under the concentration-time curve) over 24 h (AUC0-24) was determined through noncompartmental analysis. The Sunahara method was used to extract total rifamycins, and rifampin urine excretion was measured by spectrophotometry. An analysis of 58 eligible participants, including 15 (26%) with type 2 diabetes mellitus, demonstrated that urine spectrophotometry accurately identified subtarget rifampin AUC0-24 at 0-4, 0-8, and 0-24 h. The area under the receiver operator characteristic curve (AUC ROC) values were 0.80 (95% CI 0.67-0.90), 0.84 (95% CI 0.72-0.94), and 0.83 (95% CI 0.72-0.93), respectively. These values were comparable to the AUC ROC of 2 h serum concentrations commonly used for therapeutic monitoring (0.82 [95% CI 0.71-0.92], P = 0.6). Diabetes status did not significantly affect the AUC ROCs for urine in predicting subtarget rifampin serum exposure (P = 0.67-0.92). Spectrophotometric measurement of urine rifampin excretion within the first 4 or 8 h after dosing is a simple and cost-effective test that accurately predicts rifampin underexposure. This test provides critical information for optimizing tuberculosis treatment outcomes by facilitating appropriate dose adjustments.
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Affiliation(s)
- Yingda L. Xie
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Nisha Modi
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Deborah Handler
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Sijia Yu
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Prakruti Rao
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, USA
| | - Leonid Kagan
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Kristen Petros de Guex
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, USA
| | - Robert Reiss
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Anna Siemiątkowska
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
- Department of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Poznań, Poland
| | - Anshika Narang
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Navaneeth Narayanan
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers, State University of New Jersey, Piscataway, New Jersey, USA
| | - Jasie Hearn
- Virginia Department of Health, Richmond, USA
| | | | | | - Laura Young
- Virginia Department of Health, Richmond, USA
| | - Alfred Lardizabal
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Selvakumar Subbian
- Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | | | | | - Tania A. Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, USA
| | - Scott K. Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, USA
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7
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Singh UB, Ray Y, Kanswal S, Sharma HP, Aayilliath AK, Wig N, Ahuja V, Biswas A, Velpandian T. Low rifampicin levels in plasma associated with a poor clinical response in patients with abdominal TB. Int J Tuberc Lung Dis 2023; 27:787-789. [PMID: 37749829 PMCID: PMC10519389 DOI: 10.5588/ijtld.23.0149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/15/2023] [Indexed: 09/27/2023] Open
Affiliation(s)
- U B Singh
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi
| | - Y Ray
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Department of Medicine, AIIMS, New Delhi
| | - S Kanswal
- Centralized Core Research Facility, AIIMS, New Delhi
| | - H P Sharma
- Centralized Core Research Facility, AIIMS, New Delhi
| | - A K Aayilliath
- Department of Microbiology, All India Institute of Medical Sciences (AIIMS), New Delhi, Department of Medicine, AIIMS, New Delhi
| | - N Wig
- Department of Medicine, AIIMS, New Delhi
| | - V Ahuja
- Department of Gastroenterology, AIIMS, New Delhi
| | - A Biswas
- Department of Medicine, AIIMS, New Delhi
| | - T Velpandian
- Department of Ocular Pharmacology & Pharmacy, AIIMS, New Delhi, India
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8
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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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9
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Thomas TA, Lukumay S, Yu S, Rao P, Siemiątkowska A, Kagan L, Augustino D, Mejan P, Mosha R, Handler D, Petros de Guex K, Mmbaga B, Pfaeffle H, Reiss R, Peloquin CA, Vinnard C, Mduma E, Xie YL, Heysell SK. Rifampin urinary excretion to predict serum targets in children with tuberculosis: a prospective diagnostic accuracy study. Arch Dis Child 2023; 108:616-621. [PMID: 37171408 PMCID: PMC10766442 DOI: 10.1136/archdischild-2022-325250] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/13/2023] [Indexed: 05/13/2023]
Abstract
OBJECTIVE Pharmacokinetic variability drives tuberculosis (TB) treatment outcomes but measurement of serum drug concentrations for personalised dosing is inaccessible for children in TB-endemic settings. We compared rifampin urine excretion for prediction of a serum target associated with treatment outcome. DESIGN Prospective diagnostic accuracy study. SETTING Inpatient wards and outpatient clinics, northern Tanzania. PATIENTS Children aged 4-17 years were consecutively recruited on initiation of WHO-approved treatment regimens. INTERVENTIONS Samples were collected after directly observed therapy at least 2 weeks after initiation in the intensive phase: serum at pre-dose and 1, 2 and 6 hours post-dose, later analysed by liquid chromatography-tandem mass spectrometry for calculation of rifampin total exposure or area under the concentration time curve (AUC0-24); urine at post-dose intervals of 0-4, 4-8 and 8-24 hours, with rifampin excretion amount measured onsite by spectrophotometry. MAIN OUTCOME MEASURES Receiver operating characteristic (ROC) curve for percentage of rifampin dose excreted in urine measured by spectrophotometry to predict serum rifampin AUC0-24 target of 31.7 mg*hour/L. RESULTS 89 children, 52 (58%) female, with median age of 9.1 years, had both serum and urine collection. Only 59 (66%) reached the serum AUC0-24 target, reflected by a range of urine excretion patterns. Area under the ROC curve for percentage of rifampin dose excreted in urine over 24 hours predicting serum AUC0-24 target was 69.3% (95% CI 56.7% to 81.8%), p=0.007. CONCLUSIONS Urine spectrophotometry correlated with a clinically relevant serum target for rifampin, representing a step toward personalised dosing for children in TB-endemic settings.
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Affiliation(s)
- Tania A Thomas
- Department of Medicine, Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Saning'o Lukumay
- Department of Global Health Research, Haydom Lutheran Hospital, Mbulu, Tanzania, United Republic of
| | - Sijia Yu
- Pharmacy, Rutgers The State University of New Jersey, New Brunswick, New Jersey, USA
| | - Prakruti Rao
- Department of Medicine, Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Anna Siemiątkowska
- Pharmacy, Rutgers The State University of New Jersey, New Brunswick, New Jersey, USA
- Pharmacy, Poznań University, Poznan, Poland
| | - Leonid Kagan
- Pharmacy, Rutgers The State University of New Jersey, New Brunswick, New Jersey, USA
| | - Domitila Augustino
- Department of Global Health Research, Haydom Lutheran Hospital, Mbulu, Tanzania, United Republic of
| | - Paulo Mejan
- Department of Global Health Research, Haydom Lutheran Hospital, Mbulu, Tanzania, United Republic of
| | - Restituta Mosha
- Department of Global Health Research, Haydom Lutheran Hospital, Mbulu, Tanzania, United Republic of
| | - Deborah Handler
- Department of Medicine, Infectious Diseases, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Kristen Petros de Guex
- Department of Medicine, Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Blandina Mmbaga
- Department of Pediatrics, Kilimanjaro Christian Medical College, Moshi, Tanzania, United Republic of
| | - Herman Pfaeffle
- Department of Medicine, Naval Medical Center Portsmouth, Portsmouth, Virginia, USA
| | - Robert Reiss
- Department of Medicine, Infectious Diseases, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | | | - Christopher Vinnard
- Department of Medicine, Infectious Diseases, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Estomih Mduma
- Department of Global Health Research, Haydom Lutheran Hospital, Mbulu, Tanzania, United Republic of
| | - Yingda L Xie
- Department of Medicine, Infectious Diseases, Rutgers New Jersey Medical School, Newark, New Jersey, USA
| | - Scott K Heysell
- Department of Medicine, Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
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10
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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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11
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Liu Y, Moodley M, Pasipanodya JG, Gumbo T. Determining the Delamanid Pharmacokinetics/Pharmacodynamics Susceptibility Breakpoint Using Monte Carlo Experiments. Antimicrob Agents Chemother 2023; 67:e0140122. [PMID: 36877034 PMCID: PMC10112185 DOI: 10.1128/aac.01401-22] [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: 10/15/2022] [Accepted: 01/29/2023] [Indexed: 03/07/2023] Open
Abstract
Antimicrobial susceptibility testing, based on clinical breakpoints that incorporate pharmacokinetics/pharmacodynamics (PK/PD) and clinical outcomes, is becoming a new standard in guiding individual patient therapy as well as for drug resistance surveillance. However, for most antituberculosis drugs, breakpoints are instead defined by the epidemiological cutoff values of the MIC of phenotypically wild-type strains irrespective of PK/PD or dose. In this study, we determined the PK/PD breakpoint for delamanid by estimating the probability of target attainment for the approved dose administered at 100 mg twice daily using Monte Carlo experiments. We used the PK/PD targets (0- to 24-h area under the concentration-time curve to MIC) identified in a murine chronic tuberculosis model, hollow fiber system model of tuberculosis, early bactericidal activity studies of patients with drug-susceptible tuberculosis, and population pharmacokinetics in patients with tuberculosis. At the MIC of 0.016 mg/L, determined using Middlebrook 7H11 agar, the probability of target attainment was 100% in the 10,000 simulated subjects. The probability of target attainment fell to 25%, 40%, and 68% for PK/PD targets derived from the mouse model, the hollow fiber system model of tuberculosis, and patients, respectively, at the MIC of 0.031 mg/L. This indicates that an MIC of 0.016 mg/L is the delamanid PK/PD breakpoint for delamanid at 100 mg twice daily. Our study demonstrated that it is feasible to use PK/PD approaches to define a breakpoint for an antituberculosis drug.
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Affiliation(s)
- Yongge Liu
- Otsuka Pharmaceutical Development & Commercialization, Inc., Rockville, Maryland, USA
| | | | - Jotam G. Pasipanodya
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, Texas, USA
| | - Tawanda Gumbo
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, Texas, USA
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12
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Ghimire S, Molinas G, Battaglia A, Martinez N, Gómez Paciello L, Aguirre S, Alffenaar JWC, Sturkenboom MGG, Magis-Escurra C. Dried Blood Spot Sampling to Assess Rifampicin Exposure and Treatment Outcomes among Native and Non-Native Tuberculosis Patients in Paraguay: An Exploratory Study. Pharmaceutics 2023; 15:pharmaceutics15041089. [PMID: 37111575 PMCID: PMC10146788 DOI: 10.3390/pharmaceutics15041089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 03/23/2023] [Accepted: 03/25/2023] [Indexed: 03/31/2023] Open
Abstract
The aim of this study was to evaluate the difference in drug exposure of rifampicin in native versus non-native Paraguayan populations using dried blood spots (DBS) samples collected utilizing a limited sampling strategy. This was a prospective pharmacokinetic study that enrolled hospitalized tuberculosis (TB) patients from both native and non-native populations receiving oral rifampicin 10 mg/kg once-daily dosing. Steady-state DBS samples were collected at 2, 4, and 6 h after intake of rifampicin. The area under the time concentration curve 0–24 h (AUC0–24) was calculated using a Bayesian population PK model. Rifampicin AUC0–24 < 38.7 mg*h/L was considered as low. The probability of target attainment (PTA) was calculated using AUC0–24/MIC > 271 as a target and estimated MIC values of 0.125 and 0.25 mg/L. In total, 50 patients were included. Native patients (n = 30) showed comparable drug exposure to the non-natives (n = 20), median AUC0–24 24.7 (17.1–29.5 IQR) and 21.6 (15.0–35.4 IQR) mg*h/L (p = 0.66), respectively. Among total patients, only 16% (n = 8) had a rifampicin AUC0–24 > 38.7 mg*h/L. Furthermore, PTA analysis showed that only 12 (24%) of the patients met a target AUC0–24 /MIC ≥ 271, assuming an MIC of 0.125 mg/L, which plummeted to 0% at a wild-type MIC of 0.25 mg/L. We successfully used DBS and limited sampling for the AUC0–24 estimation of rifampicin. Currently, our group, the EUSAT-RCS consortium, is preparing a prospective multinational, multicenter phase IIb clinical trial evaluating the safety and efficacy of high-dose rifampicin (35 mg/kg) in adult subjects using the DBS technique for AUC0–24 estimation.
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Affiliation(s)
- Samiksha Ghimire
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9712 CP Groningen, The Netherlands
- Correspondence:
| | - Gladys Molinas
- Instituto Nacional de Enfermedades Respiratorias y del Ambiente “Juan Max Boettner”, Asuncion 1430, Paraguay
| | - Arturo Battaglia
- Instituto Nacional de Enfermedades Respiratorias y del Ambiente “Juan Max Boettner”, Asuncion 1430, Paraguay
| | - Nilza Martinez
- Instituto Nacional de Enfermedades Respiratorias y del Ambiente “Juan Max Boettner”, Asuncion 1430, Paraguay
| | - Luis Gómez Paciello
- Instituto Nacional de Enfermedades Respiratorias y del Ambiente “Juan Max Boettner”, Asuncion 1430, Paraguay
| | - Sarita Aguirre
- Programa Nacional de Control de la Tuberculosis, Asuncion 1430, Paraguay
| | - Jan-Willem C. Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2006, Australia
- Westhead Hospital, West Mead, NSW 2145, Australia
- Sydney Institute of Infectious Diseases, The University of Sydney, Camperdown, NSW 2006, Australia
| | - Marieke G. G. Sturkenboom
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9712 CP Groningen, The Netherlands
| | - Cecile Magis-Escurra
- Department of Pulmonary Diseases, Radboud University Medical Center-TB Expert Center Dekkerswald, 6525 GA Nijmegen, The Netherlands
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13
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Keim-Malpass J, Heysell SK, Thomas TA, Lobo JM, Mpagama SG, Muzoora C, Moore CC. Decision Analytic Modeling for Global Clinical Trial Planning: A Case for HIV-Positive Patients at High Risk for Mycobacterium tuberculosis Sepsis in Uganda. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20065041. [PMID: 36981950 PMCID: PMC10049353 DOI: 10.3390/ijerph20065041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 05/04/2023]
Abstract
Sepsis is a significant cause of mortality among people living with human immunodeficiency virus (HIV) in sub-Saharan Africa. In the planning period prior to the start of a large multi-country clinical trial studying the efficacy of the immediate empiric addition of anti-tuberculosis therapy to standard-of-care antibiotics for sepsis in people living with HIV, we used decision analysis to assess the costs and potential health outcome impacts of the clinical trial design based on preliminary data and epidemiological parameter estimates. The purpose of this analysis was to highlight this approach as a case example where decision analysis can estimate the cost effectiveness of a proposed clinical trial design. In this case, we estimated the impact of immediate empiric anti-tuberculosis (TB) therapy versus the diagnosis-dependent standard of care using three different TB diagnostics: urine TB-LAM, sputum Xpert-MTB/RIF, and the combination of LAM/Xpert. We constructed decision analytic models comparing the two treatment strategies for each of the three diagnostic approaches. Immediate empiric-therapy demonstrated favorable cost-effectiveness compared with all three diagnosis-dependent standard of care models. In our methodological case exemplar, the proposed randomized clinical trial intervention demonstrated the most favorable outcome within this decision simulation framework. Applying the principles of decision analysis and economic evaluation can have significant impacts on study design and clinical trial planning.
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Affiliation(s)
- Jessica Keim-Malpass
- School of Nursing, University of Virginia, Charlottesville, VA 22908, USA
- Correspondence:
| | - Scott K. Heysell
- Division of Infectious Diseases and International Health, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Tania A. Thomas
- Division of Infectious Diseases and International Health, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Jennifer M. Lobo
- Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Stellah G. Mpagama
- Kibong’oto Infectious Diseases Hospital, Kilimanjaro P.O. Box 447, Tanzania
| | - Conrad Muzoora
- Department of Medicine, Mbarara University of Science and Technology, Mbarara P.O. Box 1410, Uganda
| | - Christopher C. Moore
- Division of Infectious Diseases and International Health, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
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14
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Rao PS, Modi N, Nguyen NTT, Vu DH, Xie YL, Gandhi M, Gerona R, Metcalfe J, Heysell SK, Alffenaar JWC. Alternative Methods for Therapeutic Drug Monitoring and Dose Adjustment of Tuberculosis Treatment in Clinical Settings: A Systematic Review. Clin Pharmacokinet 2023; 62:375-398. [PMID: 36869170 PMCID: PMC10042915 DOI: 10.1007/s40262-023-01220-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND AND OBJECTIVE Quantifying exposure to drugs for personalized dose adjustment is of critical importance in patients with tuberculosis who may be at risk of treatment failure or toxicity due to individual variability in pharmacokinetics. Traditionally, serum or plasma samples have been used for drug monitoring, which only poses collection and logistical challenges in high-tuberculosis burden/low-resourced areas. Less invasive and lower cost tests using alternative biomatrices other than serum or plasma may improve the feasibility of therapeutic drug monitoring. METHODS A systematic review was conducted to include studies reporting anti-tuberculosis drug concentration measurements in dried blood spots, urine, saliva, and hair. Reports were screened to include study design, population, analytical methods, relevant pharmacokinetic parameters, and risk of bias. RESULTS A total of 75 reports encompassing all four biomatrices were included. Dried blood spots reduced the sample volume requirement and cut shipping costs whereas simpler laboratory methods to test the presence of drug in urine can allow point-of-care testing in high-burden settings. Minimal pre-processing requirements with saliva samples may further increase acceptability for laboratory staff. Multi-analyte panels have been tested in hair with the capacity to test a wide range of drugs and some of their metabolites. CONCLUSIONS Reported data were mostly from small-scale studies and alternative biomatrices need to be qualified in large and diverse populations for the demonstration of feasibility in operational settings. High-quality interventional studies will improve the uptake of alternative biomatrices in guidelines and accelerate implementation in programmatic tuberculosis treatment.
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Affiliation(s)
- Prakruti S Rao
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Nisha Modi
- Global TB Institute and Department of Medicine, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Nam-Tien Tran Nguyen
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - Dinh Hoa Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - Yingda L Xie
- Global TB Institute and Department of Medicine, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Monica Gandhi
- Division of HIV, Infectious Diseases and Global Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Roy Gerona
- Maternal-Fetal Medicine Division, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - John Metcalfe
- Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General Hospital and Trauma Center, University of California, San Francisco, CA, USA
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Jan-Willem C Alffenaar
- Pharmacy School, The University of Sydney, Pharmacy Building (A15), Science Road, Sydney, NSW, 2006, Australia.
- The University of Sydney at Westmead Hospital, Sydney, NSW, Australia.
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia.
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15
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Gafar F, Wasmann RE, McIlleron HM, Aarnoutse RE, Schaaf HS, Marais BJ, Agarwal D, Antwi S, Bang ND, Bekker A, Bell DJ, Chabala C, Choo L, Davies GR, Day JN, Dayal R, Denti P, Donald PR, Engidawork E, Garcia-Prats AJ, Gibb D, Graham SM, Hesseling AC, Heysell SK, Idris MI, Kabra SK, Kinikar A, Kumar AKH, Kwara A, Lodha R, Magis-Escurra C, Martinez N, Mathew BS, Mave V, Mduma E, Mlotha-Mitole R, Mpagama SG, Mukherjee A, Nataprawira HM, Peloquin CA, Pouplin T, Ramachandran G, Ranjalkar J, Roy V, Ruslami R, Shah I, Singh Y, Sturkenboom MGG, Svensson EM, Swaminathan S, Thatte U, Thee S, Thomas TA, Tikiso T, Touw DJ, Turkova A, Velpandian T, Verhagen LM, Winckler JL, Yang H, Yunivita V, Taxis K, Stevens J, Alffenaar JWC. Global estimates and determinants of antituberculosis drug pharmacokinetics in children and adolescents: a systematic review and individual patient data meta-analysis. Eur Respir J 2023; 61:2201596. [PMID: 36328357 PMCID: PMC9996834 DOI: 10.1183/13993003.01596-2022] [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: 08/12/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Suboptimal exposure to antituberculosis (anti-TB) drugs has been associated with unfavourable treatment outcomes. We aimed to investigate estimates and determinants of first-line anti-TB drug pharmacokinetics in children and adolescents at a global level. METHODS We systematically searched MEDLINE, Embase and Web of Science (1990-2021) for pharmacokinetic studies of first-line anti-TB drugs in children and adolescents. Individual patient data were obtained from authors of eligible studies. Summary estimates of total/extrapolated area under the plasma concentration-time curve from 0 to 24 h post-dose (AUC0-24) and peak plasma concentration (C max) were assessed with random-effects models, normalised with current World Health Organization-recommended paediatric doses. Determinants of AUC0-24 and C max were assessed with linear mixed-effects models. RESULTS Of 55 eligible studies, individual patient data were available for 39 (71%), including 1628 participants from 12 countries. Geometric means of steady-state AUC0-24 were summarised for isoniazid (18.7 (95% CI 15.5-22.6) h·mg·L-1), rifampicin (34.4 (95% CI 29.4-40.3) h·mg·L-1), pyrazinamide (375.0 (95% CI 339.9-413.7) h·mg·L-1) and ethambutol (8.0 (95% CI 6.4-10.0) h·mg·L-1). Our multivariate models indicated that younger age (especially <2 years) and HIV-positive status were associated with lower AUC0-24 for all first-line anti-TB drugs, while severe malnutrition was associated with lower AUC0-24 for isoniazid and pyrazinamide. N-acetyltransferase 2 rapid acetylators had lower isoniazid AUC0-24 and slow acetylators had higher isoniazid AUC0-24 than intermediate acetylators. Determinants of C max were generally similar to those for AUC0-24. CONCLUSIONS This study provides the most comprehensive estimates of plasma exposures to first-line anti-TB drugs in children and adolescents. Key determinants of drug exposures were identified. These may be relevant for population-specific dose adjustment or individualised therapeutic drug monitoring.
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Affiliation(s)
- Fajri Gafar
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen, The Netherlands
| | - Roeland E Wasmann
- University of Cape Town, Department of Medicine, Division of Clinical Pharmacology, Cape Town, South Africa
| | - Helen M McIlleron
- University of Cape Town, Department of Medicine, Division of Clinical Pharmacology, Cape Town, South Africa
- University of Cape Town, Institute of Infectious Disease and Molecular Medicine, Wellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Cape Town, South Africa
| | - Rob E Aarnoutse
- Radboud University Medical Center, Radboud Institute of Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
| | - H Simon Schaaf
- Stellenbosch University, Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Desmond Tutu Tuberculosis Centre, Tygerberg, South Africa
| | - Ben J Marais
- The Children's Hospital at Westmead, Sydney, Australia
- The University of Sydney, Sydney Institute for Infectious Diseases, Sydney, Australia
| | - Dipti Agarwal
- Ram Manohar Lohia Institute of Medical Sciences, Department of Paediatrics, Lucknow, India
| | - Sampson Antwi
- Komfo Anokye Teaching Hospital, Department of Child Health, Kumasi, Ghana
- Kwame Nkrumah University of Science and Technology, School of Medical Sciences, Department of Child Health, Kumasi, Ghana
| | | | - Adrie Bekker
- Stellenbosch University, Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Desmond Tutu Tuberculosis Centre, Tygerberg, South Africa
| | - David J Bell
- NHS Greater Glasgow and Clyde, Infectious Diseases Unit, Glasgow, UK
| | - Chishala Chabala
- University of Cape Town, Department of Medicine, Division of Clinical Pharmacology, Cape Town, South Africa
- University of Zambia, School of Medicine, Department of Paediatrics, Lusaka, Zambia
- University Teaching Hospitals - Children's Hospital, Lusaka, Zambia
| | - Louise Choo
- University College London, Medical Research Council Clinical Trials Unit, London, UK
| | - Geraint R Davies
- Malawi Liverpool Wellcome Clinical Research Programme, Clinical Department, Blantyre, Malawi
- University of Liverpool, Institute of Infection, Veterinary and Ecological Sciences, Liverpool, UK
| | - Jeremy N Day
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- University of Oxford, Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Oxford, UK
| | - Rajeshwar Dayal
- Sarojini Naidu Medical College, Department of Pediatrics, Agra, India
| | - Paolo Denti
- University of Cape Town, Department of Medicine, Division of Clinical Pharmacology, Cape Town, South Africa
| | - Peter R Donald
- Stellenbosch University, Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Desmond Tutu Tuberculosis Centre, Tygerberg, South Africa
| | - Ephrem Engidawork
- Addis Ababa University, College of Health Sciences, School of Pharmacy, Department of Pharmacology and Clinical Pharmacy, Addis Ababa, Ethiopia
| | - Anthony J Garcia-Prats
- Stellenbosch University, Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Desmond Tutu Tuberculosis Centre, Tygerberg, South Africa
- University of Wisconsin-Madison, School of Medicine and Public Health, Department of Pediatrics, Madison, WI, USA
| | - Diana Gibb
- University College London, Medical Research Council Clinical Trials Unit, London, UK
| | - Stephen M Graham
- University of Melbourne, Department of Paediatrics and Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia
- International Union Against Tuberculosis and Lung Disease, Paris, France
| | - Anneke C Hesseling
- Stellenbosch University, Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Desmond Tutu Tuberculosis Centre, Tygerberg, South Africa
| | - Scott K Heysell
- University of Virginia, Division of Infectious Diseases and International Health, Charlottesville, VA, USA
| | - Misgana I Idris
- University of Alabama at Birmingham, Department of Biology, Birmingham, AL, USA
| | - Sushil K Kabra
- All India Institute of Medical Sciences, Departments of Pediatrics, New Delhi, India
| | - Aarti Kinikar
- Byramjee Jeejeebhoy Government Medical College - Johns Hopkins University Clinical Research Site, Pune, India
| | - Agibothu K Hemanth Kumar
- Indian Council of Medical Research, National Institute for Research in Tuberculosis, Chennai, India
| | - Awewura Kwara
- University of Florida, Emerging Pathogens Institute, College of Medicine, Gainesville, FL, USA
| | - Rakesh Lodha
- All India Institute of Medical Sciences, Departments of Pediatrics, New Delhi, India
| | | | - Nilza Martinez
- Instituto Nacional de Enfermedades Respiratorias y Del Ambiente, Asunción, Paraguay
| | - Binu S Mathew
- Christian Medical College and Hospital, Department of Pharmacology and Clinical Pharmacology, Vellore, India
| | - Vidya Mave
- Byramjee Jeejeebhoy Government Medical College - Johns Hopkins University Clinical Research Site, Pune, India
- Johns Hopkins University, Department of Medicine and Infectious Diseases, Baltimore, MD, USA
| | - Estomih Mduma
- Haydom Lutheran Hospital, Center for Global Health Research, Haydom, Tanzania
| | | | | | - Aparna Mukherjee
- All India Institute of Medical Sciences, Departments of Pediatrics, New Delhi, India
| | - Heda M Nataprawira
- Universitas Padjadjaran, Hasan Sadikin Hospital, Faculty of Medicine, Department of Child Health, Division of Paediatric Respirology, Bandung, Indonesia
| | | | - Thomas Pouplin
- Mahidol University, Faculty of Tropical Medicine, Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - Geetha Ramachandran
- Indian Council of Medical Research, National Institute for Research in Tuberculosis, Chennai, India
| | - Jaya Ranjalkar
- Christian Medical College and Hospital, Department of Pharmacology and Clinical Pharmacology, Vellore, India
| | - Vandana Roy
- Maulana Azad Medical College, Department of Pharmacology, New Delhi, India
| | - Rovina Ruslami
- Universitas Padjadjaran, Faculty of Medicine, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Bandung, Indonesia
| | - Ira Shah
- Bai Jerbai Wadia Hospital for Children, Department of Pediatric Infectious Diseases, Pediatric TB Clinic, Mumbai, India
| | - Yatish Singh
- Sarojini Naidu Medical College, Department of Pediatrics, Agra, India
| | - Marieke G G Sturkenboom
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | - Elin M Svensson
- Radboud University Medical Center, Radboud Institute of Health Sciences, Department of Pharmacy, Nijmegen, The Netherlands
- Uppsala University, Department of Pharmacy, Uppsala, Sweden
| | - Soumya Swaminathan
- Indian Council of Medical Research, National Institute for Research in Tuberculosis, Chennai, India
- World Health Organization, Public Health Division, Geneva, Switzerland
| | - Urmila Thatte
- Seth Gordhandas Sunderdas Medical College and King Edward Memorial Hospital, Department of Clinical Pharmacology, Mumbai, India
| | - Stephanie Thee
- Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Berlin, Germany
| | - Tania A Thomas
- University of Virginia, Division of Infectious Diseases and International Health, Charlottesville, VA, USA
| | - Tjokosela Tikiso
- University of Cape Town, Department of Medicine, Division of Clinical Pharmacology, Cape Town, South Africa
| | - Daan J Touw
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | - Anna Turkova
- University College London, Medical Research Council Clinical Trials Unit, London, UK
| | - Thirumurthy Velpandian
- All India Institute of Medical Sciences, Ocular Pharmacology and Pharmacy Division, Dr R.P. Centre, New Delhi, India
| | - Lilly M Verhagen
- Radboud University Medical Center, Radboud Center for Infectious Diseases, Laboratory of Medical Immunology, Section of Pediatric Infectious Diseases, Nijmegen, The Netherlands
- Radboud University Medical Center, Amalia Children's Hospital, Department of Paediatric Infectious Diseases and Immunology, Nijmegen, The Netherlands
- Stellenbosch University, Family Centre for Research with UBUNTU, Department of Paediatrics and Child Health, Cape Town, South Africa
| | - Jana L Winckler
- Stellenbosch University, Faculty of Medicine and Health Sciences, Department of Paediatrics and Child Health, Desmond Tutu Tuberculosis Centre, Tygerberg, South Africa
| | - Hongmei Yang
- University of Rochester, School of Medicine and Dentistry, Department of Biostatistics and Computational Biology, Rochester, NY, USA
| | - Vycke Yunivita
- Universitas Padjadjaran, Faculty of Medicine, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Bandung, Indonesia
| | - Katja Taxis
- University of Groningen, Groningen Research Institute of Pharmacy, Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen, The Netherlands
| | - Jasper Stevens
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
- Both authors contributed equally and shared senior authorship
| | - Jan-Willem C Alffenaar
- The University of Sydney, Sydney Institute for Infectious Diseases, Sydney, Australia
- The University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia
- Westmead Hospital, Sydney, Australia
- Both authors contributed equally and shared senior authorship
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Thu VTA, Dat LD, Jayanti RP, Trinh HKT, Hung TM, Cho YS, Long NP, Shin JG. Advancing personalized medicine for tuberculosis through the application of immune profiling. Front Cell Infect Microbiol 2023; 13:1108155. [PMID: 36844400 PMCID: PMC9950414 DOI: 10.3389/fcimb.2023.1108155] [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: 11/25/2022] [Accepted: 01/17/2023] [Indexed: 02/12/2023] Open
Abstract
While early and precise diagnosis is the key to eliminating tuberculosis (TB), conventional methods using culture conversion or sputum smear microscopy have failed to meet demand. This is especially true in high-epidemic developing countries and during pandemic-associated social restrictions. Suboptimal biomarkers have restricted the improvement of TB management and eradication strategies. Therefore, the research and development of new affordable and accessible methods are required. Following the emergence of many high-throughput quantification TB studies, immunomics has the advantages of directly targeting responsive immune molecules and significantly simplifying workloads. In particular, immune profiling has been demonstrated to be a versatile tool that potentially unlocks many options for application in TB management. Herein, we review the current approaches for TB control with regard to the potentials and limitations of immunomics. Multiple directions are also proposed to hopefully unleash immunomics' potential in TB research, not least in revealing representative immune biomarkers to correctly diagnose TB. The immune profiles of patients can be valuable covariates for model-informed precision dosing-based treatment monitoring, prediction of outcome, and the optimal dose prediction of anti-TB drugs.
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Affiliation(s)
- Vo Thuy Anh Thu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Ly Da Dat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Rannissa Puspita Jayanti
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Hoang Kim Tu Trinh
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh, Ho Chi Minh City, Vietnam
| | - Tran Minh Hung
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea,*Correspondence: Jae-Gook Shin, ; Nguyen Phuoc Long,
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea,Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea,Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea,*Correspondence: Jae-Gook Shin, ; Nguyen Phuoc Long,
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17
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Larkins-Ford J, Aldridge BB. Advances in the design of combination therapies for the treatment of tuberculosis. Expert Opin Drug Discov 2023; 18:83-97. [PMID: 36538813 PMCID: PMC9892364 DOI: 10.1080/17460441.2023.2157811] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Tuberculosis requires lengthy multi-drug therapy. Mycobacterium tuberculosis occupies different tissue compartments during infection, making drug access and susceptibility patterns variable. Antibiotic combinations are needed to ensure each compartment of infection is reached with effective drug treatment. Despite drug combinations' role in treating tuberculosis, the design of such combinations has been tackled relatively late in the drug development process, limiting the number of drug combinations tested. In recent years, there has been significant progress using in vitro, in vivo, and computational methodologies to interrogate combination drug effects. AREAS COVERED This review discusses the advances in these methodologies and how they may be used in conjunction with new successful clinical trials of novel drug combinations to design optimized combination therapies for tuberculosis. Literature searches for approaches and experimental models used to evaluate drug combination effects were undertaken. EXPERT OPINION We are entering an era richer in combination drug effect and pharmacokinetic/pharmacodynamic data, genetic tools, and outcome measurement types. Application of computational modeling approaches that integrate these data and produce predictive models of clinical outcomes may enable the field to generate novel, effective multidrug therapies using existing and new drug combination backbones.
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Affiliation(s)
- Jonah Larkins-Ford
- Department of Molecular Biology and Microbiology and Tufts University School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
- Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance (CIMAR), Tufts University, Boston, MA, USA
- Current address: MarvelBiome Inc, Woburn, MA, USA
| | - Bree B. Aldridge
- Department of Molecular Biology and Microbiology and Tufts University School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA
- Stuart B. Levy Center for Integrated Management of Antimicrobial Resistance (CIMAR), Tufts University, Boston, MA, USA
- Department of Biomedical Engineering, Tufts University School of Engineering, Medford, MA, USA
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18
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Alffenaar JWC, de Steenwinkel JEM, Diacon AH, Simonsson USH, Srivastava S, Wicha SG. Pharmacokinetics and pharmacodynamics of anti-tuberculosis drugs: An evaluation of in vitro, in vivo methodologies and human studies. Front Pharmacol 2022; 13:1063453. [PMID: 36569287 PMCID: PMC9780293 DOI: 10.3389/fphar.2022.1063453] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
There has been an increased interest in pharmacokinetics and pharmacodynamics (PKPD) of anti-tuberculosis drugs. A better understanding of the relationship between drug exposure, antimicrobial kill and acquired drug resistance is essential not only to optimize current treatment regimens but also to design appropriately dosed regimens with new anti-tuberculosis drugs. Although the interest in PKPD has resulted in an increased number of studies, the actual bench-to-bedside translation is somewhat limited. One of the reasons could be differences in methodologies and outcome assessments that makes it difficult to compare the studies. In this paper we summarize most relevant in vitro, in vivo, in silico and human PKPD studies performed to optimize the drug dose and regimens for treatment of tuberculosis. The in vitro assessment focuses on MIC determination, static time-kill kinetics, and dynamic hollow fibre infection models to investigate acquisition of resistance and killing of Mycobacterium tuberculosis populations in various metabolic states. The in vivo assessment focuses on the various animal models, routes of infection, PK at the site of infection, PD read-outs, biomarkers and differences in treatment outcome evaluation (relapse and death). For human PKPD we focus on early bactericidal activity studies and inclusion of PK and therapeutic drug monitoring in clinical trials. Modelling and simulation approaches that are used to evaluate and link the different data types will be discussed. We also describe the concept of different studies, study design, importance of uniform reporting including microbiological and clinical outcome assessments, and modelling approaches. We aim to encourage researchers to consider methods of assessing and reporting PKPD of anti-tuberculosis drugs when designing studies. This will improve appropriate comparison between studies and accelerate the progress in the field.
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Affiliation(s)
- Jan-Willem 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,*Correspondence: Jan-Willem C. Alffenaar,
| | | | | | | | - Shashikant Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, United States
| | - Sebastian G. Wicha
- Department of Clinical Pharmacy, Institute of Pharmacy, University of Hamburg, Hamburg, Germany
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19
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Schaberg T, Brinkmann F, Feiterna-Sperling C, Geerdes-Fenge H, Hartmann P, Häcker B, Hauer B, Haas W, Heyckendorf J, Lange C, Maurer FP, Nienhaus A, Otto-Knapp R, Priwitzer M, Richter E, Salzer HJ, Schoch O, Schönfeld N, Stahlmann R, Bauer T. Tuberkulose im Erwachsenenalter. Pneumologie 2022; 76:727-819. [DOI: 10.1055/a-1934-8303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
ZusammenfassungDie Tuberkulose ist in Deutschland eine seltene, überwiegend gut behandelbare Erkrankung. Weltweit ist sie eine der häufigsten Infektionserkrankungen mit ca. 10 Millionen Neuerkrankungen/Jahr. Auch bei einer niedrigen Inzidenz in Deutschland bleibt Tuberkulose insbesondere aufgrund der internationalen Entwicklungen und Migrationsbewegungen eine wichtige Differenzialdiagnose. In Deutschland besteht, aufgrund der niedrigen Prävalenz der Erkrankung und der damit verbundenen abnehmenden klinischen Erfahrung, ein Informationsbedarf zu allen Aspekten der Tuberkulose und ihrer Kontrolle. Diese Leitlinie umfasst die mikrobiologische Diagnostik, die Grundprinzipien der Standardtherapie, die Behandlung verschiedener Organmanifestationen, den Umgang mit typischen unerwünschten Arzneimittelwirkungen, die Besonderheiten in der Diagnostik und Therapie resistenter Tuberkulose sowie die Behandlung bei TB-HIV-Koinfektion. Sie geht darüber hinaus auf Versorgungsaspekte und gesetzliche Regelungen wie auch auf die Diagnosestellung und präventive Therapie einer latenten tuberkulösen Infektion ein. Es wird ausgeführt, wann es der Behandlung durch spezialisierte Zentren bedarf.Die Aktualisierung der S2k-Leitlinie „Tuberkulose im Erwachsenenalter“ soll allen in der Tuberkuloseversorgung Tätigen als Richtschnur für die Prävention, die Diagnose und die Therapie der Tuberkulose dienen und helfen, den heutigen Herausforderungen im Umgang mit Tuberkulose in Deutschland gewachsen zu sein.
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Affiliation(s)
- Tom Schaberg
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose e. V. (DZK), Berlin
| | - Folke Brinkmann
- Abteilung für pädiatrische Pneumologie/CF-Zentrum, Universitätskinderklinik der Ruhr-Universität Bochum, Bochum
| | - Cornelia Feiterna-Sperling
- Klinik für Pädiatrie mit Schwerpunkt Pneumologie, Immunologie und Intensivmedizin, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu Berlin, Berlin
| | | | - Pia Hartmann
- Labor Dr. Wisplinghoff Köln, Klinische Infektiologie, Köln
- Department für Klinische Infektiologie, St. Vinzenz-Hospital, Köln
| | - Brit Häcker
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose e. V. (DZK), Berlin
| | | | | | - Jan Heyckendorf
- Klinik für Innere Medizin I, Universitätsklinikum Schleswig-Holstein, Campus Kiel
| | - Christoph Lange
- Klinische Infektiologie, Forschungszentrum Borstel
- Deutsches Zentrum für Infektionsforschung (DZIF), Standort Hamburg-Lübeck-Borstel-Riems
- Respiratory Medicine and International Health, Universität zu Lübeck, Lübeck
- Baylor College of Medicine and Texas Childrenʼs Hospital, Global TB Program, Houston, TX, USA
| | - Florian P. Maurer
- Nationales Referenzzentrum für Mykobakterien, Forschungszentrum Borstel, Borstel
- Institut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - Albert Nienhaus
- Institut für Versorgungsforschung in der Dermatologie und bei Pflegeberufen (IVDP), Universitätsklinikum Hamburg Eppendorf (UKE), Hamburg
| | - Ralf Otto-Knapp
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose e. V. (DZK), Berlin
| | | | | | | | | | | | - Ralf Stahlmann
- Institut für klinische Pharmakologie und Toxikologie, Charité Universitätsmedizin, Berlin
| | - Torsten Bauer
- Deutsches Zentralkomitee zur Bekämpfung der Tuberkulose e. V. (DZK), Berlin
- Lungenklinik Heckeshorn, Helios Klinikum Emil von Behring, Berlin
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20
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Deshpande D, Srivastava S, Pasipanodya JG, Gumbo T. Minocycline intra-bacterial pharmacokinetic hysteresis as a basis for pharmacologic memory and a backbone for once-a-week pan-tuberculosis therapy. Front Pharmacol 2022; 13:1024608. [PMID: 36330086 PMCID: PMC9622937 DOI: 10.3389/fphar.2022.1024608] [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: 08/22/2022] [Accepted: 09/30/2022] [Indexed: 11/24/2022] Open
Abstract
Background: There is need for shorter duration regimens for the treatment of tuberculosis, that can treat patients regardless of multidrug resistance status (pan-tuberculosis). Methods: We combined minocycline with tedizolid, moxifloxacin, and rifampin, in the hollow fiber system model of tuberculosis and mimicked each drugs’ intrapulmonary pharmacokinetics for 28 days. Minocycline-tedizolid was administered either as a once-a-week or a daily regimen. In order to explore a possible explanation for effectiveness of the once-a-week regimen, we measured systemic and intra-bacterial minocycline pharmacokinetics. Standard daily therapy (rifampin, isoniazid, pyrazinamide) was the comparator. We then calculated γf or kill slopes for each regimen and ranked the regimens by time-to-extinction predicted in patients. Results: The steepest γf and shortest time-to-extinction of entire bacterial population was with daily minocycline-rifampin combination. There was no difference in γf between the minocycline-tedizolid once-a-week versus the daily therapy (p = 0.85). Standard therapy was predicted to cure 88% of patients, while minocycline-rifampin would cure 98% of patients. Minocycline concentrations fell below minimum inhibitory concentration after 2 days of once-weekly dosing schedule. The shape of minocycline intra-bacterial concentration-time curve differed from the extracellular pharmacokinetic system and lagged by several days, consistent with system hysteresis. Hysteresis explained the persistent microbial killing after hollow fiber system model of tuberculosis concentrations dropped below the minimum inhibitory concentration. Conclusion: Minocycline could form a backbone of a shorter duration once-a-week pan-tuberculosis regimen. We propose a new concept of post-antibiotic microbial killing, distinct from post-antibiotic effect. We propose system hysteresis as the basis for the novel concept of pharmacologic memory, which allows intermittent dosing.
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Affiliation(s)
| | - Shashikant Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, United States
| | | | - Tawanda Gumbo
- Quantitative Preclinical and Clinical Sciences Department, Praedicare Inc, Dallas, TX, United States
- Hollow Fiber System and Experimental Therapeutics Laboratories, Praedicare Inc., Dallas, TX, United States
- *Correspondence: Tawanda Gumbo,
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Masiphephethu MV, Sariko M, Walongo T, Maro A, Mduma D, Gratz J, Alshaer M, Peloquin CA, Mduma E, Mpagama SG, Thomas T, Houpt ER, Traore A, Bessong P, Heysell SK, Operario DJ. Pharmacogenetic testing for NAT2 genotypes in a Tanzanian population across the lifespan to guide future personalized isoniazid dosing. Tuberculosis (Edinb) 2022; 136:102246. [PMID: 35961094 PMCID: PMC9884397 DOI: 10.1016/j.tube.2022.102246] [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: 04/12/2022] [Revised: 07/12/2022] [Accepted: 08/03/2022] [Indexed: 01/31/2023]
Abstract
Despite updated recommendations for weight-based isoniazid dosing in children with drug-susceptible tuberculosis (TB) and higher dose isoniazid in regimens for adults with drug-resistant TB, individual pharmacokinetic variability can lead to sub-target isoniazid exposure. Host pharmacogenetics and isoniazid exposure remain understudied, especially in the East African population. We therefore employed a real-time polymerase chain reaction (qPCR) assay system to test genomic DNA extracted from saliva samples targeting the NAT2 gene responsible for isoniazid metabolism to describe the frequency of human single nucleotide polymorphisms in NAT2 within populations of children and adults in Tanzania, ascribe those polymorphisms to acetylator phenotype, and correlate to serum isoniazid exposures. In adults treated with higher dose isoniazid, genotypes with a predicted allelic phenotype of slow or intermediate acetylation were able to achieve a 0.41 μg/mL higher Cmax (p = 0.018) and a 2.9h*μg/mL higher AUC0-12 (p = 0.003) per mg/kg increase in isoniazid dosage versus adults with rapid acetylation phenotype. A similar relationship was not found in the younger age population as predicted by timing of NAT2 maturation. This saliva based qPCR assay was fieldable to guide personalized isoniazid dosing in adults but not young children that may not have full NAT2 maturation and activity.
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Affiliation(s)
| | - Margaretha Sariko
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical College, Moshi, Tanzania
| | | | - Athanasia Maro
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical College, Moshi, Tanzania
| | - Dorcus Mduma
- Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical College, Moshi, Tanzania
| | - Jean Gratz
- University of Virginia, Charlottesville, VA, USA
| | | | | | | | | | - Tania Thomas
- University of Virginia, Charlottesville, VA, USA
| | - Eric R Houpt
- University of Virginia, Charlottesville, VA, USA
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22
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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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23
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Heysell SK, Mpagama SG, Ogarkov OB, Conaway M, Ahmed S, Zhdanova S, Pholwat S, Alshaer MH, Chongolo AM, Mujaga B, Sariko M, Saba S, Rahman SMM, Uddin MKM, Suzdalnitsky A, Moiseeva E, Zorkaltseva E, Koshcheyev M, Vitko S, Mmbaga BT, Kibiki GS, Pasipanodya JG, Peloquin CA, Banu S, Houpt ER. Pharmacokinetic-Pharmacodynamic Determinants of Clinical Outcomes for Rifampin-Resistant Tuberculosis: A Multisite Prospective Cohort Study. Clin Infect Dis 2022; 76:497-505. [PMID: 35731948 PMCID: PMC9907514 DOI: 10.1093/cid/ciac511] [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: 04/11/2022] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Rifampin-resistant and/or multidrug-resistant tuberculosis (RR/MDR-TB) treatment requires multiple drugs, and outcomes remain suboptimal. Some drugs are associated with improved outcome. It is unknown whether particular pharmacokinetic-pharmacodynamic relationships predict outcome. METHODS Adults with pulmonary RR/MDR-TB in Tanzania, Bangladesh, and the Russian Federation receiving local regimens were enrolled from June 2016 to July 2018. Serum was collected after 2, 4, and 8 weeks for each drug's area under the concentration-time curve over 24 hours (AUC0-24). Quantitative susceptibility of the M. tuberculosis isolate was measured by minimum inhibitory concentrations (MICs). Individual drug AUC0-24/MIC targets were assessed by adjusted odds ratios (ORs) for favorable treatment outcome, and hazard ratios (HRs) for time to sputum culture conversion. K-means clustering algorithm separated the cohort of the most common multidrug regimen into 4 clusters by AUC0-24/MIC exposures. RESULTS Among 290 patients, 62 (21%) experienced treatment failure, including 30 deaths. Moxifloxacin AUC0-24/MIC target of 58 was associated with favorable treatment outcome (OR, 3.75; 95% confidence interval, 1.21-11.56; P = .022); levofloxacin AUC0-24/MIC of 118.3, clofazimine AUC0-24/MIC of 50.5, and pyrazinamide AUC0-24 of 379 mg × h/L were associated with faster culture conversion (HR >1.0, P < .05). Other individual drug exposures were not predictive. Clustering by AUC0-24/MIC revealed that those with the lowest multidrug exposures had the slowest culture conversion. CONCLUSIONS Amidst multidrug regimens for RR/MDR-TB, serum pharmacokinetics and M. tuberculosis MICs were variable, yet defined parameters to certain drugs-fluoroquinolones, pyrazinamide, clofazimine-were predictive and should be optimized to improve clinical outcome. CLINICAL TRIALS REGISTRATION NCT03559582.
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Affiliation(s)
- Scott K Heysell
- Correspondence: Scott K. Heysell, 345 Crispell Drive, MR-6; Charlottesville, VA 29908, USA ()
| | | | - Oleg B Ogarkov
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, Irkutsk, Russian Federation
| | - Mark Conaway
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Shahriar Ahmed
- International Center for Diarrheal Diseases Research, Bangladesh, Dhaka, Bangladesh
| | - Svetlana Zhdanova
- Department of Epidemiology and Microbiology, Scientific Centre for Family Health and Human Reproduction Problems, Irkutsk, Russian Federation
| | - Suporn Pholwat
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Mohammad H Alshaer
- Infectious Disease Pharmacokinetics Lab, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Anna M Chongolo
- Kibong’oto Infectious Diseases Hospital, Sanya Juu, Tanzania
| | - Buliga Mujaga
- Kilimanjaro Clinical Research Institute and Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Margaretha Sariko
- Kilimanjaro Clinical Research Institute and Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Sabrina Saba
- International Center for Diarrheal Diseases Research, Bangladesh, Dhaka, Bangladesh
| | - S M Mazidur Rahman
- International Center for Diarrheal Diseases Research, Bangladesh, Dhaka, Bangladesh
| | | | - Alexey Suzdalnitsky
- Irkutsk Regional Tuberculosis Referral Hospital, Irkutsk, Russian Federation
| | - Elena Moiseeva
- Irkutsk Regional Tuberculosis Referral Hospital, Irkutsk, Russian Federation
| | - Elena Zorkaltseva
- Irkutsk State Medical Academy of Postgraduate Education–Branch of Russian Medical Academy of Continuing Professional Education, Irkutsk, Russian Federation
| | - Mikhail Koshcheyev
- Irkutsk Regional Tuberculosis Referral Hospital, Irkutsk, Russian Federation
| | - Serhiy Vitko
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Blandina T Mmbaga
- Kilimanjaro Clinical Research Institute and Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Gibson S Kibiki
- Kilimanjaro Clinical Research Institute and Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Jotam G Pasipanodya
- Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc, Dallas, Texas, USA
| | - Charles A Peloquin
- Infectious Disease Pharmacokinetics Lab, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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24
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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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25
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Pharmacometrics in tuberculosis: progress and opportunities. Int J Antimicrob Agents 2022; 60:106620. [PMID: 35724859 DOI: 10.1016/j.ijantimicag.2022.106620] [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: 03/03/2022] [Revised: 05/23/2022] [Accepted: 06/12/2022] [Indexed: 11/22/2022]
Abstract
Tuberculosis remains one of the leading causes of death by a communicable agent, infecting up to one-quarter of the world's population, predominantly in disadvantaged communities. Pharmacometrics employs quantitative mathematical models to describe the relationships between pharmacokinetics and pharmacodynamics, and to predict drug doses, exposures, and responses. Pharmacometric approaches have provided a scientific basis for improved dosing of antituberculosis drugs and concomitantly administered antiretrovirals at the population level. The development of modelling frameworks including physiologically-based pharmacokinetics, quantitative systems pharmacology and machine learning provides an opportunity to extend the role of pharmacometrics to in silico quantification of drug-drug interactions, prediction of doses for special populations, dose optimization and individualization, and understanding the complex exposure-response relationships of multidrug regimens in terms of both efficacy and safety, informing regimen design for future study. In this short clinically-focused review, we explore what has been done, and what opportunities exist for pharmacometrics to impact tuberculosis pharmacotherapy.
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26
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Alffenaar JWC, Stocker SL, Forsman LD, Garcia-Prats A, Heysell SK, Aarnoutse RE, Akkerman OW, Aleksa A, van Altena R, de Oñata WA, Bhavani PK, Van't Boveneind-Vrubleuskaya N, Carvalho ACC, Centis R, Chakaya JM, Cirillo DM, Cho JG, D Ambrosio L, Dalcolmo MP, Denti P, Dheda K, Fox GJ, Hesseling AC, Kim HY, Köser CU, Marais BJ, Margineanu I, Märtson AG, Torrico MM, Nataprawira HM, Ong CWM, Otto-Knapp R, Peloquin CA, Silva DR, Ruslami R, Santoso P, Savic RM, Singla R, Svensson EM, Skrahina A, van Soolingen D, Srivastava S, Tadolini M, Tiberi S, Thomas TA, Udwadia ZF, Vu DH, Zhang W, Mpagama SG, Schön T, Migliori GB. Clinical standards for the dosing and management of TB drugs. Int J Tuberc Lung Dis 2022; 26:483-499. [PMID: 35650702 PMCID: PMC9165737 DOI: 10.5588/ijtld.22.0188] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND: Optimal drug dosing is important to ensure adequate response to treatment, prevent development of drug resistance and reduce drug toxicity. The aim of these clinical standards is to provide guidance on 'best practice´ for dosing and management of TB drugs.METHODS: A panel of 57 global experts in the fields of microbiology, pharmacology and TB care were identified; 51 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 participants.RESULTS: Six clinical standards were defined: Standard 1, defining the most appropriate initial dose for TB treatment; Standard 2, identifying patients who may be at risk of sub-optimal drug exposure; Standard 3, identifying patients at risk of developing drug-related toxicity and how best to manage this risk; Standard 4, identifying patients who can benefit from therapeutic drug monitoring (TDM); Standard 5, highlighting education and counselling that should be provided to people initiating TB treatment; and Standard 6, providing essential education for healthcare professionals. In addition, consensus research priorities were identified.CONCLUSION: This is the first consensus-based Clinical Standards for the dosing and management of TB drugs to guide clinicians and programme managers in planning and implementation of locally appropriate measures for optimal person-centred treatment to improve patient care.
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Affiliation(s)
- 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
| | - S L Stocker
- School of Pharmacy, The University of Sydney Faculty of Medicine and Health, Sydney, NSW, Australia, Department of Clinical Pharmacology and Toxicology, St Vincent´s Hospital, Sydney, NSW, Australia, St Vincent´s Clinical Campus, University of NSW, Kensington, NSW, Australia
| | - L Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Karolinska Institutet, Solna, Sweden, Department of Infectious Diseases Karolinska University Hospital, Solna, Sweden
| | - A Garcia-Prats
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa, Department of Pediatrics, University of Wisconsin, Madison, WI
| | - S K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - R E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - O W Akkerman
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, The Netherlands, University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, The Netherlands
| | - A Aleksa
- Educational Institution "Grodno State Medical University", Grodno, Belarus
| | - R van Altena
- Asian Harm Reduction Network (AHRN) and Medical Action Myanmar (MAM) in Yangon, Myanmar
| | - W Arrazola de Oñata
- Belgian Scientific Institute for Public Health (Belgian Lung and Tuberculosis Association), Brussels, Belgium
| | - P K Bhavani
- Indian Council of Medical Research-National Institute for Research in Tuberculosis-International Center for Excellence in Research, Chennai, India
| | - N Van't Boveneind-Vrubleuskaya
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands, Department of Public Health TB Control, Metropolitan Public Health Services, The Hague, The Netherlands
| | - A C C Carvalho
- Laboratório de Inovações em Terapias, Ensino e Bioprodutos (LITEB), Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
| | - J M Chakaya
- Department of Medicine, Therapeutics and Dermatology, Kenyatta University, Nairobi, Kenya, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - D M Cirillo
- Emerging Bacterial Pathogens Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - J G Cho
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Westmead Hospital, Sydney, NSW, Australia, Parramatta Chest Clinic, Parramatta, NSW, Australia
| | - L D Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - M P Dalcolmo
- Reference Center Hélio Fraga, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil
| | - P Denti
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - K Dheda
- Centre for Lung Infection and Immunity, Department of Medicine, Division of Pulmonology and UCT Lung Institute, University of Cape Town, Cape Town, South Africa, University of Cape Town Lung Institute & South African MRC Centre for the Study of Antimicrobial Resistance, Cape Town, South Africa, Faculty of Infectious and Tropical Diseases, Department of Immunology and Infection, London School of Hygiene & Tropical Medicine, London, UK
| | - G J Fox
- Faculty of Medicine and Health, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia, Woolcock Institute of Medical Research, Glebe, NSW, Australia
| | - A C Hesseling
- Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, Tygerberg, South Africa
| | - H Y Kim
- 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
| | - C U Köser
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - B J Marais
- Sydney Institute for Infectious Diseases, The University of Sydney, Sydney, NSW, Australia, Department of Infectious Diseases and Microbiology, The Children´s Hospital at Westmead, Westmead, NSW, Australia
| | - I Margineanu
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A G Märtson
- Antimicrobial Pharmacodynamics and Therapeutics, Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - M Munoz Torrico
- Clínica de Tuberculosis, Instituto Nacional de Enfermedades Respiratorias, Ciudad de México, Mexico
| | - H M Nataprawira
- Division of Paediatric Respirology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - C W M Ong
- Infectious Disease Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore, Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore
| | - R Otto-Knapp
- German Central Committee against Tuberculosis (DZK), Berlin, Germany
| | - C A Peloquin
- Infectious Disease Pharmacokinetics Laboratory, Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - D R Silva
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - R Ruslami
- TB/HIV Research Centre, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia, Department of Biomedical Sciences, Division of Pharmacology and Therapy, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - P Santoso
- Division of Respirology and Critical Care, Department of Internal Medicine, Faculty of Medicine, Universitas Padjadjaran/Hasan Sadikin General Hospital, Bandung, Indonesia
| | - R M Savic
- Department of Bioengineering and Therapeutic Sciences, Division of Pulmonary and Critical Care Medicine, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, CA, USA
| | - R Singla
- Department of TB & Respiratory Diseases, National Institute of TB & Respiratory Diseases, New Delhi, India
| | - E M Svensson
- Department of Pharmacy, Radboud Institute for Health Sciences & Radboudumc Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands, Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - A Skrahina
- The Republican Research and Practical Centre for Pulmonology and TB, Minsk, Belarus
| | - D van Soolingen
- National Institute for Public Health and the Environment, TB Reference Laboratory (RIVM), Bilthoven, The Netherlands
| | - S Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Center at Tyler, Tyler, TX, USA
| | - 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
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - T A Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Z F Udwadia
- P. D. Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - D H Vu
- National Drug Information and Adverse Drug Reaction Monitoring Centre, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - W Zhang
- Department of Infectious Diseases, National Medical Center for Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, People´s Republic of China
| | - S G Mpagama
- Kilimanjaro Christian Medical University College, Moshi, United Republic of Tanzania, Kibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, United Republic of Tanzania
| | - T Schön
- Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden, Institute of Biomedical and Clinical Sciences, Division of Infection and Inflammation, Linköping University, Linköping, Sweden, Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Linköping, Sweden
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Tradate, Italy
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Jayanti RP, Long NP, Phat NK, Cho YS, Shin JG. Semi-Automated Therapeutic Drug Monitoring as a Pillar toward Personalized Medicine for Tuberculosis Management. Pharmaceutics 2022; 14:pharmaceutics14050990. [PMID: 35631576 PMCID: PMC9147223 DOI: 10.3390/pharmaceutics14050990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/26/2022] [Accepted: 05/02/2022] [Indexed: 12/10/2022] Open
Abstract
Standard tuberculosis (TB) management has failed to control the growing number of drug-resistant TB cases worldwide. Therefore, innovative approaches are required to eradicate TB. Model-informed precision dosing and therapeutic drug monitoring (TDM) have become promising tools for adjusting anti-TB drug doses corresponding with individual pharmacokinetic profiles. These are crucial to improving the treatment outcome of the patients, particularly for those with complex comorbidity and a high risk of treatment failure. Despite the actual benefits of TDM at the bedside, conventional TDM encounters several hurdles related to laborious, time-consuming, and costly processes. Herein, we review the current practice of TDM and discuss the main obstacles that impede it from successful clinical implementation. Moreover, we propose a semi-automated TDM approach to further enhance precision medicine for TB management.
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Affiliation(s)
- Rannissa Puspita Jayanti
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Korea; (R.P.J.); (N.P.L.); (N.K.P.); (Y.-S.C.)
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
| | - Nguyen Phuoc Long
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Korea; (R.P.J.); (N.P.L.); (N.K.P.); (Y.-S.C.)
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
| | - Nguyen Ky Phat
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Korea; (R.P.J.); (N.P.L.); (N.K.P.); (Y.-S.C.)
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
| | - Yong-Soon Cho
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Korea; (R.P.J.); (N.P.L.); (N.K.P.); (Y.-S.C.)
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
| | - Jae-Gook Shin
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Korea; (R.P.J.); (N.P.L.); (N.K.P.); (Y.-S.C.)
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Busan 47392, Korea
- Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan 47392, Korea
- Correspondence: ; Tel.: +82-51-890-6709; Fax: +82-51-893-1232
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Enteropathogen spectrum and effect on antimycobacterial pharmacokinetics among children with tuberculosis in rural Tanzania: a prospective cohort study. THE LANCET MICROBE 2022; 3:e408-e416. [PMID: 35659902 PMCID: PMC9174596 DOI: 10.1016/s2666-5247(21)00308-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/02/2021] [Accepted: 11/05/2021] [Indexed: 02/03/2023] Open
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Lemaitre F. Has the Time Come for Systematic Therapeutic Drug Monitoring of First-Line and WHO Group A Antituberculosis Drugs? Ther Drug Monit 2022; 44:133-137. [PMID: 34857693 DOI: 10.1097/ftd.0000000000000948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 11/16/2021] [Indexed: 11/25/2022]
Abstract
ABSTRACT Tuberculosis (TB) is a major global health issue, with approximately 10 million people being infected each year, and is the leading cause of mortality from infectious disease, with 1.5 million deaths a year. Optimal TB treatment requires a combination of drugs for an adequate treatment duration owing to persistent organisms, hardly accessible infection sites, and a high risk of resistance selection. Long-term therapy increases the risk of patients' loss of adherence, adverse drug reactions, and drug-drug interactions, potentially leading to treatment failure. The high interpatient variability of TB drug exposure is another point eliciting interest in therapeutic drug monitoring (TDM) to optimize treatment. Studies reporting clinically relevant exposure thresholds, which might be proposed as targets toward treatment personalization, are discussed. Practical TDM strategies have also been reported to circumvent issues related to delayed drug absorption and the need for multiple samples when evaluating the area under the curve of drug concentrations. The need for treatment individualization is further emphasized because of the development of multidrug-resistant TB or extensively drug-resistant TB. Finally, the willingness to shorten the treatment duration while maintaining success is also a driver for ensuring adequate exposure to TB drugs with TDM. The aim of the present review was to underline the role of TDM in drug-susceptible TB and World Health Organization group A TB drugs.
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Affiliation(s)
- Florian Lemaitre
- Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail); and
- Univ Rennes, CHU Rennes, Inserm, CIC 1414 (Centre d'Investigation Clinique de Rennes), Rennes, France
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Soedarsono S, Jayanti RP, Mertaniasih NM, Kusmiati T, Permatasari A, Indrawanto DW, Charisma AN, Yuliwulandari R, Long NP, Choi YK, Hoa PQ, Hoa PV, Cho YS, Shin JG. Development of population pharmacokinetics model of isoniazid in Indonesian patients with tuberculosis. Int J Infect Dis 2022; 117:8-14. [PMID: 35017103 DOI: 10.1016/j.ijid.2022.01.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/03/2022] [Accepted: 01/05/2022] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVES No population pharmacokinetics (PK) model of isoniazid (INH) has been reported for the Indonesian population with tuberculosis (TB). Therefore, we aimed to develop a population PK model to optimize pharmacotherapy of INH on the basis of therapeutic drug monitoring (TDM) implementation in Indonesian patients with TB. MATERIALS AND METHODS INH concentrations, N-acetyltransferase 2 (NAT2) genotypes, and clinical data were collected from Dr. Soetomo General Academic Hospital, Indonesia. A nonlinear mixed-effect model was used to develop and validate the population PK model. RESULTS A total of 107 patients with TB (with 153 samples) were involved in this study. A one-compartment model with allometric scaling for bodyweight effect described well the PK of INH. The NAT2 acetylator phenotype significantly affected INH clearance. The mean clearance rates for the rapid, intermediate, and slow NAT2 acetylator phenotypes were 55.9, 37.8, and 17.7 L/h, respectively. Our model was well-validated through visual predictive checks and bootstrapping. CONCLUSIONS We established the population PK model for INH in Indonesian patients with TB using the NAT2 acetylator phenotype as a significant covariate. Our Bayesian forecasting model should enable optimization of TB treatment for INH in Indonesian patients with TB.
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Affiliation(s)
- Soedarsono Soedarsono
- Department of Pulmonology & Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60131, Indonesia; Tuberculosis Study Group, Universitas Airlangga, Surabaya 60131, Indonesia; Dr. Soetomo General Hospital, Surabaya 60131, Indonesia.
| | - Rannissa Puspita Jayanti
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea
| | - Ni Made Mertaniasih
- Tuberculosis Study Group, Universitas Airlangga, Surabaya 60131, Indonesia; Dr. Soetomo General Hospital, Surabaya 60131, Indonesia; Department of Clinical Microbiology, Faculty of Medicine, Universitas Airlangga, Surabaya 60131, Indonesia
| | - Tutik Kusmiati
- Department of Pulmonology & Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60131, Indonesia; Tuberculosis Study Group, Universitas Airlangga, Surabaya 60131, Indonesia; Dr. Soetomo General Hospital, Surabaya 60131, Indonesia
| | - Ariani Permatasari
- Department of Pulmonology & Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60131, Indonesia; Tuberculosis Study Group, Universitas Airlangga, Surabaya 60131, Indonesia; Dr. Soetomo General Hospital, Surabaya 60131, Indonesia
| | - Dwi Wahyu Indrawanto
- Department of Pulmonology & Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60131, Indonesia; Dr. Soetomo General Hospital, Surabaya 60131, Indonesia
| | - Anita Nur Charisma
- Department of Pulmonology & Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60131, Indonesia; Dr. Soetomo General Hospital, Surabaya 60131, Indonesia
| | - Rika Yuliwulandari
- Department of Pharmacology, Faculty of Medicine, YARSI University, Jakarta 10510, Indonesia; Genetic Research Center, YARSI Research Institute, YARSI University, Jakarta 10510, Indonesia
| | - Nguyen Phuoc Long
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea
| | - Young-Kyung Choi
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea
| | - Pham Quang Hoa
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea
| | - Pham Vinh Hoa
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea
| | - Yong-Soon Cho
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea
| | - Jae-Gook Shin
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Republic of Korea; Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan 47392, Republic of Korea.
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Ruslami R, Gafar F, Yunivita V, Parwati I, Ganiem AR, Aarnoutse RE, Wilffert B, Alffenaar JWC, Nataprawira HM. Pharmacokinetics and safety/tolerability of isoniazid, rifampicin and pyrazinamide in children and adolescents treated for tuberculous meningitis. Arch Dis Child 2022; 107:70-77. [PMID: 34183327 PMCID: PMC8685623 DOI: 10.1136/archdischild-2020-321426] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 06/14/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To assess the pharmacokinetics and safety/tolerability of isoniazid, rifampicin and pyrazinamide in children and adolescents with tuberculous meningitis (TBM). DESIGN Prospective observational pharmacokinetic study with an exploratory pharmacokinetic/pharmacodynamic analysis. SETTING Hasan Sadikin Hospital, Bandung, Indonesia. PATIENTS Individuals aged 0-18 years clinically diagnosed with TBM and receiving first-line anti-tuberculosis drug dosages according to revised WHO-recommended treatment guidelines. INTERVENTIONS Plasma and cerebrospinal fluid (CSF) concentrations of isoniazid, rifampicin and pyrazinamide were assessed on days 2 and 10 of treatment. MAIN OUTCOME MEASURES Plasma exposures during the daily dosing interval (AUC0-24), peak plasma concentrations (Cmax) and CSF concentrations. RESULTS Among 20 eligible patients, geometric mean AUC0-24 of isoniazid, rifampicin and pyrazinamide was 18.5, 66.9 and 315.5 hour∙mg/L on day 2; and 14.5, 71.8 and 328.4 hour∙mg/L on day 10, respectively. Large interindividual variabilities were observed in AUC0-24 and Cmax of all drugs. All patients had suboptimal rifampicin AUC0-24 for TBM treatment indication and very low rifampicin CSF concentrations. Four patients developed grade 2-3 drug-induced liver injury (DILI) within the first 4 weeks of treatment, in whom anti-tuberculosis drugs were temporarily stopped, and no DILI recurred after reintroduction of rifampicin and isoniazid. AUC0-24 of isoniazid, rifampicin and pyrazinamide along with Cmax of isoniazid and pyrazinamide on day 10 were higher in patients who developed DILI than those without DILI (p<0.05). CONCLUSION Higher rifampicin doses are strongly warranted in treatment of children and adolescents with TBM. The association between higher plasma concentrations of isoniazid, rifampicin and pyrazinamide and the development of DILI needs confirmatory studies.
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Affiliation(s)
- Rovina Ruslami
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Fajri Gafar
- Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Vycke Yunivita
- Division of Pharmacology and Therapy, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia
| | - Ida Parwati
- Department of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - Ahmad R Ganiem
- Department of Neurology, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - Rob E Aarnoutse
- Department of Pharmacy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Bob Wilffert
- Unit of PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands,Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jan-Willem C Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia,Westmead Hospital, Sydney, New South Wales, Australia
| | - Heda M Nataprawira
- Division of Pediatric Respirology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
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A V, V S, JW A, SM J, AK HK. A simple HPLC-UV Method for Therapeutic Drug Monitoring of Linezolid in human Plasma in low-resourced settings. JOURNAL OF APPLIED BIOANALYSIS 2021. [DOI: 10.17145/jab.21.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE: A high-performance liquid chromatography method for the estimation of Linezolid in human plasma was developed and validated. METHODS: Samples (100µµL) were deproteinized with acetonitrile and analyzed using LiChrospher 100, RP18e column with PDA detection at 254 nm. The flow rate of the isocratic mobile phase comprising of 0.1% formic acid in 1000 ml of water and acetonitrile in the ratio of 60:40 (v/v) was set at 1.0 ml/min. RESULTS: The calibration curve ranged from 0.50 to 20.0 µg/ml and was linear. The recovery ranged from 96% to 101%. The accuracy ranged from 98 to 101% and intra- and inter-day relative standard deviation was <4.58%. The method reliably eliminated interfering materials from plasma and R2 was 0.9973. The method described was applied to the determination of plasma LZD concentration in multi-drug-resistant tuberculosis patients who are treated with a dose of 600 mg LZD once daily. CONCLUSIONS: The developed method is suitable for determination of plasma LZD in routine care and considered feasible in less-resourced settings
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Zheng X, Davies Forsman L, Bao Z, Xie Y, Ning Z, Schön T, Bruchfeld J, Xu B, Alffenaar JW, Hu Y. Drug exposure and susceptibility of second-line drugs correlate with treatment response in patients with multidrug-resistant tuberculosis: a multi-centre prospective cohort study in China. Eur Respir J 2021; 59:13993003.01925-2021. [PMID: 34737224 PMCID: PMC8943270 DOI: 10.1183/13993003.01925-2021] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/21/2021] [Indexed: 11/15/2022]
Abstract
Background Understanding the impact of drug exposure and susceptibility on treatment response of multidrug-resistant tuberculosis (MDR-TB) will help to optimise treatment. This study aimed to investigate the association between drug exposure, susceptibility and response to MDR-TB treatment. Methods Drug exposure and susceptibility for second-line drugs were measured for patients with MDR-TB. Multivariate analysis was applied to investigate the impact of drug exposure and susceptibility on sputum culture conversion and treatment outcome. Probability of target attainment was evaluated. Random Forest and CART (Classification and Regression Tree) analysis was used to identify key predictors and their clinical targets among patients on World Health Organization-recommended regimens. Results Drug exposure and corresponding susceptibility were available for 197 patients with MDR-TB. The probability of target attainment was highly variable, ranging from 0% for ethambutol to 97% for linezolid, while patients with fluoroquinolones above targets had a higher probability of 2-month culture conversion (56.3% versus 28.6%; adjusted OR 2.91, 95% CI 1.42–5.94) and favourable outcome (88.8% versus 68.8%; adjusted OR 2.89, 95% CI 1.16–7.17). Higher exposure values of fluoroquinolones, linezolid and pyrazinamide were associated with earlier sputum culture conversion. CART analysis selected moxifloxacin area under the drug concentration–time curve/minimum inhibitory concentration (AUC0–24h/MIC) of 231 and linezolid AUC0–24h/MIC of 287 as best predictors for 6-month culture conversion in patients receiving identical Group A-based regimens. These associations were confirmed in multivariate analysis. Conclusions Our findings indicate that target attainment of TB drugs is associated with response to treatment. The CART-derived thresholds may serve as targets for early dose adjustment in a future randomised controlled study to improve MDR-TB treatment outcome. Drug exposure and susceptibility were proved to be associated with treatment responses during multidrug-resistant tuberculosis treatment, and identified thresholds may serve as targets for dose adjustment in future clinical studies to improve treatment efficacyhttps://bit.ly/3pZQbFU
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Affiliation(s)
- Xubin Zheng
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Lina Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Ziwei Bao
- The Fifth People's Hospital of Suzhou, Jiangsu, China
| | - Yan Xie
- Zigong City Centre for Disease Control and Prevention, Sichuan, China
| | - Zhu Ning
- Zigong City Centre for Disease Control and Prevention, Sichuan, China
| | - Thomas Schön
- Department of Infectious Diseases, Linköping University Hospital and Kalmar County Hospital, Sweden.,Division of Inflammation and Infectious Diseases, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Judith Bruchfeld
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Biao Xu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Jan-Willem Alffenaar
- Faculty of Medicine and Health, School of Pharmacy, University of Sydney, Sydney, Australia.,Westmead hospital, Sydney, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
| | - Yi Hu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
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Srivastava S, Gumbo T, Thomas T. Repurposing Cefazolin-Avibactam for the Treatment of Drug Resistant Mycobacterium tuberculosis. Front Pharmacol 2021; 12:776969. [PMID: 34744753 PMCID: PMC8569112 DOI: 10.3389/fphar.2021.776969] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 10/06/2021] [Indexed: 11/19/2022] Open
Abstract
Background: While tuberculosis (TB) is curable and preventable, the most effective first-line antibiotics cannot kill multi-drug resistant (MDR) Mycobacterium tuberculosis (Mtb). Therefore, effective drugs are needed to combat MDR-TB, especially in children. Our objective was to repurpose cefazolin for MDR-TB treatment in children using principles of pharmacokinetic/pharmacodynamics (PK/PD). Methods: Cefazolin minimum inhibitory concentration (MIC) was identified in 17 clinical Mtb strains, with and without combination of the β-lactamase inhibitor, avibactam. Next, dose-ranging studies were performed using the intracellular hollow fiber model of TB (HFS-TB) to identify the optimal cefazolin exposure. Monte Carlo experiments were then performed in 10,000 children for optimal dose identification based on cumulative fraction of response (CFR) and Mtb susceptibility breakpoint in three age-groups. Results: Avibactam reduced the cefazolin MICs by five tube dilutions. Cefazolin-avibactam demonstrated maximal kill of 4.85 log10 CFU/mL in the intracellular HFS-TB over 28 days. The % time above MIC associated with maximal effect (EC80) was 46.76% (95% confidence interval: 43.04–50.49%) of dosing interval. For 100 mg/kg once or twice daily, the CFR was 8.46 and 61.39% in children <3 years with disseminated TB, 9.70 and 84.07% for 3–5 years-old children, and 17.20 and 76.13% for 12–15 years-old children. The PK/PD-derived susceptibility breakpoint was dose dependent at 1–2 mg/L. Conclusion: Cefazolin-avibactam combination demonstrates efficacy against both drug susceptible and MDR-TB clinical strains in the HFS-TB and could potentially be used to treat children with tuberculosis. Clinical studies are warranted to validate our findings.
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Affiliation(s)
- Shashikant Srivastava
- Department of Pulmonary Immunology, University of Texas Health Science Centre, Tyler, TX, United States.,Department of Immunology, UT Southwestern Medical Center, Dallas, TX, United States.,Department of Pharmacy Practice, Texas Tech University Health Science Center, Dallas, TX, United States
| | - Tawanda Gumbo
- Praedicare Laboratories and Quantitative Preclinical & Clinical Sciences Department, Praedicare Inc., Dallas, TX, United States
| | - Tania Thomas
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, United States
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Sinha P, Lönnroth K, Bhargava A, Heysell SK, Sarkar S, Salgame P, Rudgard W, Boccia D, Van Aartsen D, Hochberg NS. Food for thought: addressing undernutrition to end tuberculosis. THE LANCET. INFECTIOUS DISEASES 2021; 21:e318-e325. [PMID: 33770535 PMCID: PMC8458477 DOI: 10.1016/s1473-3099(20)30792-1] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 07/18/2020] [Accepted: 09/04/2020] [Indexed: 01/15/2023]
Abstract
Tuberculosis is the leading cause of deaths from an infectious disease worldwide. WHO's End TB Strategy is falling short of several 2020 targets. Undernutrition is the leading population-level risk factor for tuberculosis. Studies have consistently found that undernutrition is associated with increased tuberculosis incidence, increased severity, worse treatment outcomes, and increased mortality. Modelling studies support implementing nutritional interventions for people living with tuberculosis and those at risk of tuberculosis disease to ensure the success of the End TB Strategy. In this Personal View, we highlight nutrition-related immunocompromisation, implications of undernutrition for tuberculosis treatment and prevention, the role of nutritional supplementation, pharmacokinetics and pharmacodynamics of antimycobacterial medications in undernourished people with tuberculosis, and the role of social protection interventions in addressing undernutrition as a tuberculosis risk factor. To catalyse action on this insufficiently addressed accelerant of the global tuberculosis epidemic, research should be prioritised to understand the immunological pathways that are impaired by nutrient deficiencies, develop tools to diagnose clinical and subclinical tuberculosis in people who are undernourished, and understand how nutritional status affects the efficacy of tuberculosis vaccine and therapy. Through primary research, modelling, and implementation research, policy change should also be accelerated, particularly in countries with a high burden of tuberculosis.
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Affiliation(s)
- Pranay Sinha
- Section of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston University, MA, USA.
| | - Knut Lönnroth
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Anurag Bhargava
- Department of Medicine, Yenepoya Medical College, and Center for Nutrition Studies, Yenepoya (Deemed to be University), Mangalore, India; Department of Medicine, McGill University, Montreal, QC, Canada
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, VA, USA
| | - Sonali Sarkar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Padmini Salgame
- Center for Emerging Pathogens, Department of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - William Rudgard
- Department of Social Policy and Intervention, University of Oxford, Oxford, UK
| | - Delia Boccia
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Daniel Van Aartsen
- Division of Infectious Diseases and International Health, University of Virginia, VA, USA
| | - Natasha S Hochberg
- Section of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston University, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston University, MA, USA
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36
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Muliaditan M, Della Pasqua O. Bacterial growth dynamics and pharmacokinetic-pharmacodynamic relationships of rifampicin and bedaquiline in BALB/c mice. Br J Pharmacol 2021; 179:1251-1263. [PMID: 34599506 PMCID: PMC9303191 DOI: 10.1111/bph.15688] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Revised: 08/07/2021] [Accepted: 09/01/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE Translational efforts in the evaluation of novel anti-tubercular drugs demand better integration of pharmacokinetic-pharmacodynamic data arising from preclinical protocols. However, parametric approaches that discriminate drug effect from the underlying bacterial growth dynamics have not been fully explored, making it difficult to translate and/or extrapolate preclinical findings to humans. This analysis aims to develop a drug-disease model that allows distinction between drug- and system-specific properties. EXPERIMENTAL APPROACH Given their clinical relevance, rifampicin and bedaquiline were used as test compounds. A two-state model was used to describe bacterial growth dynamics. The approach assumes the existence of fast- and slow-growing bacterial populations. Drug effect on the growth dynamics of each subpopulation was characterised in terms of potency (EC50 -F and EC50 -S) and maximum killing rate. KEY RESULTS The doubling time of the fast- and slow-growing population was estimated to be 25 h and 42 days, respectively. Rifampicin was more potent against the fast-growing (EC50 -F = 4.8 mg·L-1 ), as compared with the slow-growing population (EC50 -S = 60.2 mg·L-1 ). Bedaquiline showed higher potency than rifampicin (EC50 -F = 0.19 mg·L-1 ; EC50 -S = 3.04 mg·L-1 ). External validation procedures revealed an effect of infection route on the apparent potency of rifampicin. CONCLUSION AND IMPLICATIONS Model parameter estimates suggest that nearly maximum killing rate is achieved against fast-growing, but not against slow-growing populations at the tested doses. Evidence of differences in drug potency for each subpopulation may facilitate the translation of preclinical findings and improve the dose rationale for anti-tubercular drugs in humans.
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Affiliation(s)
- Morris Muliaditan
- Clinical Pharmacology & Therapeutics Group, School of Life and Medical Sciences, University College London, London, UK
| | - Oscar Della Pasqua
- Clinical Pharmacology & Therapeutics Group, School of Life and Medical Sciences, University College London, London, UK.,Clinical Pharmacology, Modelling and Simulation, GlaxoSmithKline, Brentford, UK
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Sandaradura I, Alffenaar JW, Cotta MO, Daveson K, Day RO, Van Hal S, Lau C, Marriott DJE, Penm J, Roberts JA, Tabah A, Williams P, Imani S. Emerging therapeutic drug monitoring of anti-infective agents in Australian hospitals: Availability, performance and barriers to implementation. Br J Clin Pharmacol 2021; 88:669-679. [PMID: 34289135 DOI: 10.1111/bcp.14995] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 06/29/2021] [Accepted: 07/03/2021] [Indexed: 12/15/2022] Open
Abstract
AIMS The purpose of the study was to assess the status of emerging therapeutic drug monitoring (TDM) of anti-infective agents in Australian hospitals. METHODS A nationwide cross-sectional survey of all Australian hospitals operating in the public and private health sector was conducted between August and September 2019. The survey consisted of questions regarding institutional TDM practice for anti-infective agents and clinical vignettes specific to β-lactam antibiotics. RESULTS Responses were received from 82 unique institutions, representing all Australian states and territories. All 29 (100%) of principal referral (major) hospitals in Australia participated. Five surveys were partially complete. Only 25% (20/80) of hospitals had TDM testing available on-site for any of the eight emerging TDM candidates considered: β-lactam antibiotics, anti-tuberculous agents, flucytosine, fluoroquinolones, ganciclovir, human immunodeficiency virus (HIV) drugs, linezolid and teicoplanin. A considerable time lag was noted between TDM sampling and reporting of results. With respect to β-lactam antibiotic TDM, variable indications, pharmacodynamic targets and sampling times were identified. The three greatest barriers to local TDM performance were found to be (1) lack of timely assays/results, (2) lack of institutional-wide expertise and/or training and (3) lack of guidelines to inform ordering of TDM and interpretation of results. The majority of respondents favoured establishing national TDM guidelines and increasing access to dose prediction software, at rates of 89% and 96%, respectively. CONCLUSION Translating emerging TDM evidence into daily clinical practice is slow. Concerted efforts are required to address the barriers identified and facilitate the implementation of standardised practice.
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Affiliation(s)
- Indy Sandaradura
- Centre for Infectious Diseases and Microbiology, Westmead Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Sydney, NSW, Australia.,Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Sydney, NSW, Australia.,St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia
| | - Jan-Willem Alffenaar
- Department of Pharmacy, Westmead Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.,Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Menino O Cotta
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Kathryn Daveson
- Department of Infectious Diseases, Canberra Hospital, Canberra, ACT, Australia.,Queensland Statewide Antimicrobial Stewardship Program, Metro North Hospital and Health Services, Brisbane, QLD, Australia
| | - Richard O Day
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia.,Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, NSW, Australia
| | - Sebastiaan Van Hal
- Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Cindy Lau
- Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.,Department of Pharmacy, St Vincent's Hospital, Sydney, NSW, Australia
| | - Deborah J E Marriott
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia.,Department of Clinical Microbiology, SydPath, St Vincent's Hospital, Sydney, NSW, Australia
| | - Jonathan Penm
- Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.,Department of Pharmacy, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Departments of Pharmacy and Intensive Care, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Alexis Tabah
- Intensive Care Unit, Redcliffe Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Paul Williams
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Department of Pharmacy, Sunshine Coast University Hospital, Sunshine Coast, QLD, Australia
| | - Sahand Imani
- Northern Sydney Local Health District, Hornsby Ku-ring-gai Hospital, Sydney, NSW, Australia
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Mohamed S, Mvungi HC, Sariko M, Rao P, Mbelele P, Jongedijk EM, van Winkel CAJ, Touw DJ, Stroup S, Alffenaar JWC, Mpagama S, Heysell SK. Levofloxacin pharmacokinetics in saliva as measured by a mobile microvolume UV spectrophotometer among people treated for rifampicin-resistant TB in Tanzania. J Antimicrob Chemother 2021; 76:1547-1552. [PMID: 33675664 PMCID: PMC8120342 DOI: 10.1093/jac/dkab057] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 02/05/2021] [Indexed: 12/25/2022] Open
Abstract
Background Early detection and correction of low fluoroquinolone exposure may improve treatment of MDR-TB. Objectives To explore a recently developed portable, battery-powered, UV spectrophotometer for measuring levofloxacin in saliva of people treated for MDR-TB. Methods Patients treated with levofloxacin as part of a regimen for MDR-TB in Northern Tanzania had serum and saliva collected concurrently at 1 and 4 h after 2 weeks of observed levofloxacin administration. Saliva levofloxacin concentrations were quantified in the field via spectrophotometry, while serum was analysed at a regional laboratory using HPLC. A Bayesian population pharmacokinetics model was used to estimate the area under the concentration–time curve (AUC0–24). Subtarget exposures of levofloxacin were defined by serum AUC0–24 <80 mg·h/L. The study was registered at Clinicaltrials.gov with clinical trial identifier NCT04124055. Results Among 45 patients, 11 (25.6%) were women and 16 (37.2%) were living with HIV. Median AUC0–24 in serum was 140 (IQR = 102.4–179.09) mg·h/L and median AUC0–24 in saliva was 97.10 (IQR = 74.80–121.10) mg·h/L. A positive linear correlation was observed with serum and saliva AUC0–24, and a receiver operating characteristic curve constructed to detect serum AUC0–24 below 80 mg·h/L demonstrated excellent prediction [AUC 0.80 (95% CI = 0.62–0.94)]. Utilizing a saliva AUC0–24 cut-off of 91.6 mg·h/L, the assay was 88.9% sensitive and 69.4% specific in detecting subtarget serum AUC0–24 values, including identifying eight of nine patients below target. Conclusions Portable UV spectrophotometry as a point-of-care screen for subtarget levofloxacin exposure was feasible. Use for triage to other investigation or personalized dosing strategy should be tested in a randomized study.
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Affiliation(s)
- Sagal Mohamed
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | | | | | - Prakruti Rao
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Peter Mbelele
- Kibong'oto Infectious Diseases Hospital, Sanya Juu, Tanzania
| | - Erwin M Jongedijk
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Claudia A J van Winkel
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Daan J Touw
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Suzanne Stroup
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
| | - Jan-Willem C Alffenaar
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.,Westmead Hospital, Sydney, Australia.,Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
| | | | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA
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Enudi OC, Louis H, Edim MM, Agwupuye JA, Ekpen FO, Bisong EA, Utsu PM. Understanding the aqueous chemistry of quinoline and the diazanaphthalenes: insight from DFT study. Heliyon 2021; 7:e07531. [PMID: 34296019 PMCID: PMC8282981 DOI: 10.1016/j.heliyon.2021.e07531] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 05/18/2021] [Accepted: 07/06/2021] [Indexed: 11/16/2022] Open
Abstract
The inter-fragment interactions at various binding sites and the overall cluster stability of quinolone (QNOL), cinnoline (CNOL), quinazoline (QNAZ), and quinoxaline (QNOX) complexes with H2O were studied using the density functional theory (DFT) approach. The adsorption and H-bond binding energies, and the energy decomposition mechanism was considered to determine the relative stabilization status of the studied clusters. Scanning tunneling microscopy (STM), natural bonding orbitals (NBO) and charge decomposition were studied to expose the electronic distribution and interaction between fragments. The feasibility of formations of the various complexes were also studied by considering their thermodynamic properties. Results from adsorption studies confirmed the actual adsorption of H2O molecules on the various binding sites studied, with QNOX clusters exhibiting the best adsorptions. Charge decomposition analysis (CDA) revealed significant charge transfer from substrate to H2O fragment in most complexes, except in QNOL, CNOL and QNAZ clusters with H2O at binding position 4, where much charges are back-donated to substrate. The O---H inter-fragment bonds was discovered to be stronger than counterpart N---H bonds in the complexes, whilst polarity indices confirmed N---H as more polar covalent than O---H bonds. Thermodynamic considerations revealed that the formation process of all studied complexes are endothermic (+ve ΔH f ) and non-spontaneous (+ve ΔG f ).
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Affiliation(s)
- Obieze C. Enudi
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - Hitler Louis
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - Moses M. Edim
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - John A. Agwupuye
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - Francis O. Ekpen
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - Emmanuel A. Bisong
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
| | - Patrick M. Utsu
- Computational and Bio-Simulation Research Group, University of Calabar, Calabar, Nigeria
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40
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Alffenaar JWC, Jongedijk EM, van Winkel CAJ, Sariko M, Heysell SK, Mpagama S, Touw DJ. A mobile microvolume UV/visible light spectrophotometer for the measurement of levofloxacin in saliva. J Antimicrob Chemother 2021; 76:423-429. [PMID: 33089322 PMCID: PMC7816168 DOI: 10.1093/jac/dkaa420] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 09/10/2020] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Therapeutic drug monitoring (TDM) for personalized dosing of fluoroquinolones has been recommended to optimize efficacy and reduce acquired drug resistance in the treatment of MDR TB. Therefore, the aim of this study was to develop a simple, low-cost, robust assay for TDM using mobile UV/visible light (UV/VIS) spectrophotometry to quantify levofloxacin in human saliva at the point of care for TB endemic settings. METHODS All experiments were performed on a mobile UV/VIS spectrophotometer. The levofloxacin concentration was quantified by using the amplitude of the second-order spectrum between 300 and 400 nm of seven calibrators. The concentration of spiked samples was calculated from the spectrum amplitude using linear regression. The method was validated for selectivity, specificity, linearity, accuracy and precision. Drugs frequently co-administered were tested for interference. RESULTS The calibration curve was linear over a range of 2.5-50.0 mg/L for levofloxacin, with a correlation coefficient of 0.997. Calculated accuracy ranged from -5.2% to 2.4%. Overall precision ranged from 2.1% to 16.1%. Application of the Savitsky-Golay method reduced the effect of interferents on the quantitation of levofloxacin. Although rifampicin and pyrazinamide showed analytical interference at the lower limit of quantitation of levofloxacin concentrations, this interference had no implication on decisions regarding the levofloxacin dose. CONCLUSIONS A simple UV/VIS spectrophotometric method to quantify levofloxacin in saliva using a mobile nanophotometer has been validated. This method can be evaluated in programmatic settings to identify patients with low levofloxacin drug exposure to trigger personalized dose adjustment.
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Affiliation(s)
- Jan-Willem C Alffenaar
- University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead Hospital, Sydney, Australia.,Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Sydney, NSW, Australia.,University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | - Erwin M Jongedijk
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | - Claudia A J van Winkel
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | | | - Scott K Heysell
- University of Virginia, Division of Infectious Diseases and International Health, Charlottesville, VA, USA
| | - Stellah Mpagama
- Kibong'oto Infectious Diseases Hospital, Kilimanjaro, Tanzania
| | - Daan J Touw
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
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Rao PS, Moore CC, Mbonde AA, Nuwagira E, Orikiriza P, Nyehangane D, Al-Shaer MH, Peloquin CA, Gratz J, Pholwat S, Arinaitwe R, Boum Y, Mwanga-Amumpaire J, Houpt ER, Kagan L, Heysell SK, Muzoora C. Population Pharmacokinetics and Significant Under-Dosing of Anti-Tuberculosis Medications in People with HIV and Critical Illness. Antibiotics (Basel) 2021; 10:antibiotics10060739. [PMID: 34207312 PMCID: PMC8235594 DOI: 10.3390/antibiotics10060739] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 06/12/2021] [Accepted: 06/15/2021] [Indexed: 12/18/2022] Open
Abstract
Critical illness from tuberculosis (TB) bloodstream infection results in a high case fatality rate for people living with human immunodeficiency virus (HIV). Critical illness can lead to altered pharmacokinetics and suboptimal drug exposures. We enrolled adults living with HIV and hospitalized with sepsis, with and without meningitis, in Mbarara, Uganda that were starting first-line anti-TB therapy. Serum was collected two weeks after enrollment at 1-, 2-, 4-, and 6-h post-dose and drug concentrations quantified by validated LC-MS/MS methods. Non-compartmental analyses were used to determine total drug exposure, and population pharmacokinetic modeling and simulations were performed to determine optimal dosages. Eighty-one participants were enrolled. Forty-nine completed pharmacokinetic testing: 18 (22%) died prior to testing, 13 (16%) were lost to follow-up and one had incomplete testing. Isoniazid had the lowest serum attainment, with only 4.1% achieving a target exposure over 24 h (AUC0–24) of 52 mg·h/L despite appropriate weight-based dosing. Simulations to reach target AUC0–24 found necessary doses of rifampin of 1800 mg, pyrazinamide of 2500–3000 mg, and for isoniazid 900 mg or higher. Given the high case fatality ratio of TB-related critical illness in this population, an early higher dose anti-TB therapy should be trialed.
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Affiliation(s)
- Prakruti S. Rao
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; (P.S.R.); (C.C.M.); (J.G.); (S.P.); (E.R.H.)
| | - Christopher C. Moore
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; (P.S.R.); (C.C.M.); (J.G.); (S.P.); (E.R.H.)
| | - Amir A. Mbonde
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara 1410, Uganda; (A.A.M.); (E.N.); (R.A.); (J.M.-A.); (C.M.)
| | - Edwin Nuwagira
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara 1410, Uganda; (A.A.M.); (E.N.); (R.A.); (J.M.-A.); (C.M.)
| | - Patrick Orikiriza
- Department of Microbiology, University of Global Health Equity, Kigali 6955, Rwanda;
| | - Dan Nyehangane
- Epicentre Mbarara Research Center, Mbarara 1956, Uganda; (D.N.); (Y.B.)
| | - Mohammad H. Al-Shaer
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (M.H.A.-S.); (C.A.P.)
| | - Charles A. Peloquin
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; (M.H.A.-S.); (C.A.P.)
| | - Jean Gratz
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; (P.S.R.); (C.C.M.); (J.G.); (S.P.); (E.R.H.)
| | - Suporn Pholwat
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; (P.S.R.); (C.C.M.); (J.G.); (S.P.); (E.R.H.)
| | - Rinah Arinaitwe
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara 1410, Uganda; (A.A.M.); (E.N.); (R.A.); (J.M.-A.); (C.M.)
- Epicentre Mbarara Research Center, Mbarara 1956, Uganda; (D.N.); (Y.B.)
| | - Yap Boum
- Epicentre Mbarara Research Center, Mbarara 1956, Uganda; (D.N.); (Y.B.)
| | - Juliet Mwanga-Amumpaire
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara 1410, Uganda; (A.A.M.); (E.N.); (R.A.); (J.M.-A.); (C.M.)
- Epicentre Mbarara Research Center, Mbarara 1956, Uganda; (D.N.); (Y.B.)
| | - Eric R. Houpt
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; (P.S.R.); (C.C.M.); (J.G.); (S.P.); (E.R.H.)
| | - Leonid Kagan
- Department of Pharmaceutics and Center of Excellence for Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA;
| | - Scott K. Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA 22908, USA; (P.S.R.); (C.C.M.); (J.G.); (S.P.); (E.R.H.)
- Correspondence:
| | - Conrad Muzoora
- Faculty of Medicine, Mbarara University of Science and Technology, Mbarara 1410, Uganda; (A.A.M.); (E.N.); (R.A.); (J.M.-A.); (C.M.)
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Ghimire S, Karki S, Maharjan B, Kosterink JGW, Touw DJ, van der Werf TS, Shrestha B, Alffenaar JW. Treatment outcomes of patients with MDR-TB in Nepal on a current programmatic standardised regimen: retrospective single-centre study. BMJ Open Respir Res 2021; 7:7/1/e000606. [PMID: 32796020 PMCID: PMC7430340 DOI: 10.1136/bmjresp-2020-000606] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/16/2020] [Accepted: 07/16/2020] [Indexed: 01/20/2023] Open
Abstract
Objectives The objectives of this study were to evaluate treatment in patients on current programmatic multidrug-resistant tuberculosis (MDR-TB) regimen and verify eligibility for the 9-month regimen and therapeutic drug monitoring (TDM). Methods We performed a retrospective chart review of patients with MDR-TB receiving standardised regimen at the German Nepal TB Project Clinic, Nepal, between 2014 and 2016. Eligibility for the 9-month regimen and indications for TDM were evaluated. Results Out of 107 available patients’ medical records, 98 were included. In this centre, the MDR-TB treatment success rates were 69.0% in 2015, 86.6% in 2016 and 86.5% in 2017. The median time to sputum smear conversion was 60 days (60–90 IQR) and culture conversion was 60 days (60–90 IQR). Observed side effects did not impact treatment outcomes. No difference in treatment success rates was observed between patients with predisposing risk factors and those without. Only 49% (36/74) of patients were eligible for the 9-month regimen and 23 patients for TDM according to American Thoracic Society guideline criteria. Conclusions Nepalese patients with MDR-TB on ambulatory care had good treatment outcome after programmatic treatment. Implementation of the new WHO oral MDR-TB treatment regimen may further improve treatment results. The 9-month regimen and TDM should be considered as part of programmatic care.
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Affiliation(s)
- Samiksha Ghimire
- Clinical Pharmacy and Pharmacology, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands
| | - Samriddhi Karki
- Tuberculosis Unit, Nepal Anti-Tuberculosis Association/German Nepal TB Project, Kathmandu, Nepal
| | - Bhagwan Maharjan
- Tuberculosis Unit, Nepal Anti-Tuberculosis Association/German Nepal TB Project, Kathmandu, Nepal
| | - Jos G W Kosterink
- Clinical Pharmacy and Pharmacology, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands
| | - Daan J Touw
- Clinical Pharmacy and Pharmacology, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands.,Groningen Research Institute of Pharmacy, Department of Pharmaceutical Analysis, University of Groningen, Groningen, Groningen, the Netherlands
| | - Tjip S van der Werf
- Infectious Diseases Service and Tuberculosis Unit, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands
| | - Bhabana Shrestha
- Tuberculosis Unit, Nepal Anti-Tuberculosis Association/German Nepal TB Project, Kathmandu, Nepal
| | - Jan-Willem Alffenaar
- Clinical Pharmacy and Pharmacology, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands.,Faculty of Medicine and Health, School of Pharmacy and Westmead hospital, University of Sydney, Sydney, New South Wales, Australia
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Märtson AG, Alffenaar JWC. Investigator-initiated studies in infectious diseases - considerations for pharmacokinetic-pharmacodynamic optimization. Clin Infect Dis 2021; 73:1742. [PMID: 33949643 DOI: 10.1093/cid/ciab401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Anne-Grete Märtson
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands
| | - Jan-Willem C Alffenaar
- University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, Groningen, The Netherlands.,The University of Sydney, Sydney Pharmacy School, Sydney, New South Wales, Australia.,Westmead hospital, Sydney, New South Wales, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, The University of Sydney, Australia
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44
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Nguyen TVA, Anthony RM, Cao TTH, Bañuls AL, Nguyen VAT, Vu DH, Nguyen NV, Alffenaar JWC. Delamanid Resistance: Update and Clinical Management. Clin Infect Dis 2021; 71:3252-3259. [PMID: 32521000 DOI: 10.1093/cid/ciaa755] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 06/05/2020] [Indexed: 12/29/2022] Open
Abstract
Delamanid, a-first-in-class bicyclic nitroimidazole, was recently approved for multidrug-resistant tuberculosis treatment. Pitted against the hope for improving treatment outcomes is the threat of the rapid resistance emergence. This review provides information on the mechanisms of action, resistance emergence, and drug susceptibility testing (DST) for delamanid. Delamanid resistance has already been reported in both in vitro experiments and clinical settings. Although mutations conferring delamanid resistance have been identified in fbiA, fbiB, fbiC, ddn, and fgd1 genes of Mycobacterium tuberculosis, knowledge about the molecular resistance mechanisms is limited, and there remains no standardized DST method. The rapid acquisition of delamanid resistance emphasizes the need for optimal use of new drugs, the need for drug resistance surveillance, and a comprehensive understanding of drug resistance mechanisms. Further studies are necessary to investigate genetic and phenotypic changes that determine clinically relevant delamanid resistance to help develop a rapid delamanid DST.
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Affiliation(s)
- Thi Van Anh Nguyen
- Department of Life Sciences, University of Science and Technology of Hanoi (USTH), Vietnam Academy of Science and Technology (VAST), Hanoi, Vietnam.,LMI Drug Resistance in South East Asia, Hanoi, Vietnam
| | - Richard M Anthony
- Tuberculosis reference laboratory, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Thi Thu Huyen Cao
- The National Centre of Drug information and Adverse Drug Reaction Monitoring, Hanoi University of Pharmacy, Hanoi, Vietnam
| | - Anne-Laure Bañuls
- LMI Drug Resistance in South East Asia, Hanoi, Vietnam.,MIVEGEC, University of Montpellier-IRD-CNRS, Montpellier, France
| | - Van Anh Thi Nguyen
- Laboratory of Tuberculosis, Department of Bacteriology, National Institute of Hygiene and Epidemiology of Vietnam, Hanoi, Vietnam
| | - Dinh Hoa Vu
- The National Centre of Drug information and Adverse Drug Reaction Monitoring, Hanoi University of Pharmacy, Hanoi, Vietnam
| | | | - Jan-Willem C Alffenaar
- University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead hospital, Sydney, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
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Mpagama SG, Ramaiya K, Lillebæk T, Mmbaga BT, Sumari-de Boer M, Ntinginya NE, Alffenaar JW, Heysell SK, Bygbjerg IC, Christensen DL. Protocol for establishing an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) for integrating care of communicable and non-communicable diseases using tuberculosis and diabetes as a case study. BMJ Open 2021; 11:e041521. [PMID: 33910944 PMCID: PMC8094344 DOI: 10.1136/bmjopen-2020-041521] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 02/04/2021] [Accepted: 04/12/2021] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Most sub-Saharan African countries endure a high burden of communicable infections but also face a rise of non-communicable diseases (NCDs). Interventions targeting particular epidemics are often executed within vertical programmes. We establish an Adaptive Diseases control Expert Programme in Tanzania (ADEPT) model with three domains; stepwise training approach, integration of communicable and NCDs and a learning system. The model aims to shift traditional vertical programmes to an adaptive diseases management approach through integrating communicable and NCDs using the tuberculosis (TB) and diabetes mellitus (DM) dual epidemic as a case study. We aim to describe the ADEPT protocol with underpinned implementation and operational research on TB/DM. METHODS AND ANALYSIS The model implement a collaborative TB and DM services protocol as endorsed by WHO in Tanzania. Evaluation of the process and outcomes will follow the logic framework. A mixed research design with both qualitative and quantitative approaches will be used in applied research action. Anticipated implementation research outcomes include at the health facilities level for organising TB/DM services, pathways of patients with TB/DM seeking care in different health facilities, factors in service delivery that need deimplementation and the ADEPT model implementation feasibility, acceptability and fidelity. Expected operational research outcomes include additional identified patients with dual TB/DM, the prevalence of comorbidities like hypertension in patients with TB/DM and final treatment outcomes of TB/DM including treatment-related complications. Findings will inform the future policies and practices for integrating communicable and NCDs services. ETHICS AND DISSEMINATION Ethical approval was granted by The National Research Health Ethical Committee (Ref-No. NIMR/HQ/R.8a/Vol.IX/2988) and the implementation endorsed by the government authorities. Findings will be proactively disseminated through multiple mechanisms including peer-reviewed journals, and engagement with various stakeholders' example in conferences and social media.
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Affiliation(s)
- Stellah G Mpagama
- Medical, Kibong'oto Infectious Diseases Hospital, Sanya Juu, Tanzania
| | - Kaushik Ramaiya
- Department of Internal Medicine, Shree Hindu Mandal Hospital, Dar es Salaam, Tanzania
| | | | | | | | | | | | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, Virginia, USA
| | - Ib C Bygbjerg
- Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Dirk L Christensen
- Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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46
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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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Weiner M, Gelfond J, Johnson-Pais TL, Engle M, Johnson JL, Whitworth WC, Bliven-Sizemore E, Nsubuga P, Dorman SE, Savic R. Decreased plasma rifapentine concentrations associated with AADAC single nucleotide polymorphism in adults with tuberculosis. J Antimicrob Chemother 2021; 76:582-586. [PMID: 33374006 DOI: 10.1093/jac/dkaa490] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/29/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Rifapentine exposure is associated with bactericidal activity against Mycobacterium tuberculosis, but high interindividual variation in plasma concentrations is encountered. OBJECTIVES To investigate a genomic association with interindividual variation of rifapentine exposure, SNPs of six human genes involving rifamycin metabolism (AADAC, CES2), drug transport (SLCO1B1, SLCO1B3) and gene regulation (HNF4A, PXR) were evaluated. METHODS We characterized these genes in 173 adult participants in treatment trials of the Tuberculosis Trials Consortium. Participants were stratified by self-identified race (black or non-black), and rifapentine AUC from 0 to 24 h (AUC0-24) was adjusted by analysis of covariance for SNPs, rifapentine dose, sex, food and HIV coinfection. This study was registered at ClinicalTrials.gov under identifier NCT01043575. RESULTS The effect on rifapentine least squares mean AUC0-24 in black participants overall decreased by -10.2% for AADAC rs1803155 G versus A allele (Wald test: P = 0.03; false discovery rate, 0.10). Black participants with one G allele in AADAC rs1803155 were three times as likely to have below target bactericidal rifapentine exposure than black participants with the A allele (OR, 2.97; 95% CI: 1.16, 7.58). With two G alleles, the OR was greater. In non-black participants, AADAC rs1803155 SNP was not associated with rifapentine exposure. In both black and non-black participants, other evaluated genes were not associated with rifapentine exposure (P > 0.05; false discovery rate > 0.10). CONCLUSIONS Rifapentine exposure in black participants varied with AADAC rs1803155 genotype and the G allele was more likely to be associated with below bactericidal target rifapentine exposure. Further pharmacogenomic study is needed to characterize the association of the AADAC rs1803155 with inadequate rifapentine exposure in different patient groups.
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Affiliation(s)
- Marc Weiner
- University of Texas Health Science Center San Antonio, San Antonio, TX, USA.,South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Jon Gelfond
- University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | | | - Melissa Engle
- University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - John L Johnson
- Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.,Uganda-Case Western Reserve University Research Collaboration, Kampala, Uganda
| | - William C Whitworth
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Erin Bliven-Sizemore
- Division of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Pheona Nsubuga
- Uganda-Case Western Reserve University Research Collaboration, Kampala, Uganda
| | - Susan E Dorman
- Medical University of South Carolina, Charleston, SC, USA
| | - Rada Savic
- University of California San Francisco, San Francisco, CA, USA
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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: 22] [Impact Index Per Article: 5.5] [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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Zheng X, Bao Z, Forsman LD, Hu Y, Ren W, Gao Y, Li X, Hoffner S, Bruchfeld J, Alffenaar JW. Drug exposure and minimum inhibitory concentration predict pulmonary tuberculosis treatment response. Clin Infect Dis 2020; 73:e3520-e3528. [PMID: 33070176 DOI: 10.1093/cid/ciaa1569] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Prospective studies correlating pharmacokinetic/pharmacodynamic (PK/PD) indices to clinical responses are urgently needed. This study aimed to find clinically relevant PK/PD thresholds that can be used for treatment optimization. METHODS Pharmacokinetic sampling and minimum inhibitory concentration (MIC) measurements were performed for culture-confirmed tuberculosis patients. Classification and regression tree (CART) analysis was applied to obtain PK and/or PD thresholds for first-line drugs predictive of two-week/month culture conversion, treatment outcome determined at 6-8 months, acute kidney injury (AKI) and drug-induced liver injury (DILI). Least absolute shrinkage and selection operator (LASSO) logistic regression was used for model development and validation. RESULTS Finally, 168 and 52 patients with tuberculosis were included in development and validation cohort for analysis, respectively. Area under concentration-time curve (AUC)/MIC below CART-derived thresholds for pyrazinamide of 8.42, pyrazinamide of 2.79 or rifampicin of 435.45 were the predominant predictors of two-week culture conversion, two-month culture conversion or treatment success, respectively. Isoniazid AUC above 21.78 mg·h/L or rifampicin AUC above 82.01 mg·h/L were predictive of DILI or AKI during TB treatment. The predictive performance of trained LASSO models in validation cohort was evaluated by receiver operating characteristic curves and ranged from 0.625 to 0.978. CONCLUSIONS PK/PD indices and drug exposure of anti-TB drugs were associated with clinical outcome and adverse events. The effect of CART-derived thresholds for individualized dosing on treatment outcome should be studied in a randomized controlled trial.
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Affiliation(s)
- Xubin Zheng
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Ziwei Bao
- The Fifth People's Hospital of Suzhou, Suzhou, China
| | - Lina Davies Forsman
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Yi Hu
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Weihua Ren
- Central Laboratory, First Affiliated Hospital, Henan University of Science and Technology, Luoyang, China
| | - Yazhou Gao
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Xuliang Li
- Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Sven Hoffner
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Judith Bruchfeld
- Division of Infectious Diseases, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Department of Infectious Disease, Karolinska University Hospital, Stockholm, Sweden
| | - Jan-Willem Alffenaar
- University of Sydney, Faculty of Medicine and Health, School of Pharmacy, Sydney, Australia.,Westmead hospital, Sydney, Australia.,Marie Bashir Institute of Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
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50
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Alffenaar JWC, Tiberi S, Cirillo DM, Migliori GB. Intermittent regimens for tuberculosis treatment: Back to the Future? Eur Respir J 2020; 56:56/3/2002510. [DOI: 10.1183/13993003.02510-2020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 06/26/2020] [Indexed: 11/05/2022]
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