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Agibothu Kupparam HK, Shah I, Chandrasekaran P, Mane S, Sharma S, Thangavelu BR, Vilvamani S, Annavi V, Mahalingam SM, Thiruvengadam K, Navaneethapandian PG, Gandhi S, Poojari V, Nalwalla Z, Oswal V, Giridharan P, Babu SB, Rathinam S, Frederick A, Mankar S, Jeyakumar SM. Pharmacokinetics of anti-TB drugs in children and adolescents with drug-resistant TB: a multicentre observational study from India. J Antimicrob Chemother 2024; 79:2939-2947. [PMID: 39308327 DOI: 10.1093/jac/dkae311] [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: 01/22/2024] [Accepted: 08/20/2024] [Indexed: 11/05/2024] Open
Abstract
BACKGROUND Drug-resistant tuberculosis (DR-TB) is one of the challenging forms of TB to treat, not only in adults but also in children and adolescents. Further, there is a void in the treatment strategy exclusively for children due to various reasons, including paucity of pharmacokinetic (PK) data on anti-TB drugs across the globe. In this context, the present study aimed at assessing the PK of some of the anti-TB drugs used in DR-TB treatment regimens. METHOD A multicentre observational study was conducted among DR-TB children and adolescents (n = 200) aged 1-18 years (median: 12 years; IQR: 9-14) treated under programmatic settings in India. Steady-state PK (intensive: n = 89; and sparse: n = 111) evaluation of moxifloxacin, levofloxacin, cycloserine, ethionamide, rifampicin, isoniazid and pyrazinamide was carried out by measuring plasma levels using HPLC methods. RESULTS In the study population, the frequency of achieving peak plasma concentrations ranged between 13% (for rifampicin) to 82% (for pyrazinamide), whereas the frequency of suboptimal peak concentration for pyrazinamide, cycloserine, moxifloxacin, levofloxacin and rifampicin was 15%, 19%, 29%, 41% and 74%, respectively. Further, the frequency of supratherapeutic levels among patients varied between 3% for pyrazinamide and 60% for isoniazid. In the below-12 years age category, the median plasma maximum concentration and 12 h exposure of moxifloxacin were significantly lower than that of the above-12 years category despite similar weight-adjusted dosing. CONCLUSIONS Age significantly impacted the plasma concentration and exposure of moxifloxacin. The observed frequencies of suboptimal and supratherapeutic concentrations underscore the necessity for dose optimization and therapeutic drug monitoring in children and adolescents undergoing DR-TB treatment.
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Affiliation(s)
- Hemanth Kumar Agibothu Kupparam
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Ira Shah
- Pediatric Infectious Diseases and Pediatric GI, Hepatology, Pediatric DR TB (State), Center of Excellence, Department of Pediatric Infectious Diseases, B.J. Wadia Hospital for Children, Mumbai, India
| | - Padmapriyadarsini Chandrasekaran
- Department of Clinical Research, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Sushant Mane
- Department of Pediatrics, State Pediatric Center of Excellence for TB, Grant Government Medical College, Sir JJ Group of Hospitals, Mumbai, India
| | - Sangeeta Sharma
- Department of Pediatrics, National Institute of Tuberculosis and Respiratory Diseases, New Delhi, India
| | - Bharathi Raja Thangavelu
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Sudha Vilvamani
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Vijayakumar Annavi
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Santhana Mahalingam Mahalingam
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Kannan Thiruvengadam
- Department of Epidemiology Statistics, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Poorna Gangadevi Navaneethapandian
- Department of Clinical Research, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Srushti Gandhi
- Pediatric Infectious Diseases and Pediatric GI, Hepatology, Pediatric DR TB (State), Center of Excellence, Department of Pediatric Infectious Diseases, B.J. Wadia Hospital for Children, Mumbai, India
| | - Vishrutha Poojari
- Pediatric Infectious Diseases and Pediatric GI, Hepatology, Pediatric DR TB (State), Center of Excellence, Department of Pediatric Infectious Diseases, B.J. Wadia Hospital for Children, Mumbai, India
| | - Zahabiya Nalwalla
- Pediatric Infectious Diseases and Pediatric GI, Hepatology, Pediatric DR TB (State), Center of Excellence, Department of Pediatric Infectious Diseases, B.J. Wadia Hospital for Children, Mumbai, India
| | - Vikas Oswal
- DR-TB Site-Shatabdi Municipal Hospital, Govandi, Mumbai, India
| | - Prathiksha Giridharan
- Department of Epidemiology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
| | - Sarath Balaji Babu
- Department of Pediatric Pulmonology, Institute of Child Health and Hospital for Children, Chennai, Tamil Nadu, India
| | - Sridhar Rathinam
- Government Hospital of Thoracic Medicine, Chennai, Tamil Nadu, India
| | | | - Suhbangi Mankar
- DR-TB Site-Shatabdi Municipal Hospital, Govandi, Mumbai, India
| | - Shanmugam Murugaiha Jeyakumar
- Department of Clinical Pharmacology, ICMR-National Institute for Research in Tuberculosis, No.1 Mayor Sathiyamoorthy Road, Chetpet, Chennai 600 031, Tamil Nadu, India
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Qin Y, Xu L, Teng Y, Wang Y, Ma P. Discovery of novel antibacterial agents: Recent developments in D-alanyl-D-alanine ligase inhibitors. Chem Biol Drug Des 2021; 98:305-322. [PMID: 34047462 DOI: 10.1111/cbdd.13899] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/09/2021] [Accepted: 05/23/2021] [Indexed: 01/14/2023]
Abstract
Bacterial infections can cause serious problems that threaten public health over a long period of time. Moreover, the continuous emergence of drug-resistant bacteria necessitates the development of novel antibacterial agents. D-alanyl-D-alanine ligase (Ddl) is an indispensable adenosine triphosphate-dependent bacterial enzyme involved in the biosynthesis of peptidoglycan precursor, which catalyzes the ligation of two D-alanine molecules into one D-alanyl-D-alanine dipeptide. This dipeptide is an essential component of the intracellular peptidoglycan precursor, uridine diphospho-N-acetylmuramic acid (UDP-MurNAc)-pentapeptide, that maintains the integrity of the bacterial cell wall by cross-linking the peptidoglycan chain, and is crucial for the survival of pathogens. Consequently, Ddl is expected to be a promising target for the development of antibacterial agents. In this review, we present a brief introduction regarding the structure and function of Ddl, as well as an overview of the various Ddl inhibitors currently being used as antibacterial agents, specifically highlighting their inhibitory activities, structure-activity relationships and mechanisms of action.
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Affiliation(s)
- Yinhui Qin
- Department of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
| | - Linlin Xu
- Department of Pharmacy, Taian City Central Hospital, Taian, China
| | - Yuetai Teng
- Department of Pharmacy, Jinan Vocational College of Nursing, Jinan, China
| | - Yinhu Wang
- School of Pharmaceutical Sciences, Liaocheng University, Liaocheng, China
| | - Peizhi Ma
- Department of Pharmacy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, China
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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: 49] [Impact Index Per Article: 12.3] [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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Fibriana AI, Saefurrohim MZ, Setiana AA, Azam M, Pratama AD. Predictors of smear non-conversion among new-treatment pulmonary tuberculosis: a single center case-control study in Indonesia. MEDICAL JOURNAL OF INDONESIA 2020. [DOI: 10.13181/mji.oa.204216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND Previous studies concluded predictors of smear non-conversion pulmonary tuberculosis (TB) globally as well as in Indonesia. However, there is a limited data in hospital setting. This study aimed to explore predictors of smear non-conversion pulmonary TB in hospital setting.
METHODS A case-control study was conducted to explore predictors of smear nonconversion among new-treatment pulmonary TB in Dr. Kariadi General Hospital from 2017 to 2019. Number of cases and controls have been determined consecutively. Data were collected from secondary data accessed in medical records and directly from subjects. Non-conversion status in the case group was defined as a persistent sputum smear-positive after 2 months of intensive phase of treatment. The subjects’ characteristics i.e., age, sex, BMI, education level, occupational status, and predictors of smear non-conversion, i.e., patient’s compliance, smoking status, alcohol consumption, presence of drugs side effects, health care access, first acid-fast bacilli (AFB) smear grading, diabetes mellitus (DM), housing condition, housing density, and household income were observed. Chi-square test and binary logistic regression were used.
RESULTS 35 subjects were determined in the case group while 76 subjects were the control group and involved in the final analysis. Age, sex, first AFB smear grading, smoking status, housing condition, housing density, and DM were involved in the model of logistic regression. DM (OR = 3.4; 95% CI = 1.19–10.00) and first AFB smear grading (OR = 11.2; 95% CI = 3.86–33.00) were concluded as the predictors of smear nonconversion.
CONCLUSIONS DM and first AFB smear grading were the predictors of smear nonconversion among new-treatment pulmonary TB subjects.
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Treatment Outcomes and Adverse Drug Effects of Ethambutol, Cycloserine, and Terizidone for the Treatment of Multidrug-Resistant Tuberculosis in South Africa. Antimicrob Agents Chemother 2020; 65:AAC.00744-20. [PMID: 33046491 DOI: 10.1128/aac.00744-20] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 09/30/2020] [Indexed: 11/20/2022] Open
Abstract
Treatment outcomes among multidrug-resistant tuberculosis (MDR-TB) patients receiving ethambutol, cycloserine, or terizidone as part of a standardized regimen were compared, determining occurrence of serious adverse drug events (SADEs). Newly diagnosed adult MDR-TB patients were enrolled between 2000 and 2004, receiving a standardized multidrug regimen for 18 to 24 months, including ethambutol, cycloserine, or terizidone. Cycloserine and terizidone were recorded individually. SADEs and factors associated with culture conversion and unfavorable treatment outcomes (default, death, treatment failure) were determined. Of 858 patients, 435 (51%) received ethambutol, 278 (32%) received cycloserine, and 145 (17%) received terizidone. Demographic and baseline clinical data were comparable. Successful treatment occurred in 56%, significantly more in patients receiving cycloserine (60%) and terizidone (62%) than in those receiving ethambutol (52% [P = 0.03]). Defaults rates were 30% in ethambutol patients versus 15% and 11% for cycloserine and terizidone patients, respectively. Terizidone was associated with fewer unfavorable outcomes (adjusted odds ratio [AOR], 0.4; P = 0.008; 95% confidence interval [CI], 0.2 to 0.8). Patients receiving cycloserine were more likely to achieve culture conversion than those receiving ethambutol or terizidone (AOR, 2.2; P = 0.02; 95% CI, 1.12 to 4.38). Failure to convert increased the odds of unfavorable outcomes (AOR, 23.7; P < 0.001; 95% CI, 13 to 44). SADEs were reported in two patients receiving ethambutol, seven patients receiving cycloserine, and three receiving terizidone (P = 0.05). Ethambutol was associated with high culture conversion and default rates. Cycloserine achieved higher culture conversion rates than terizidone. Fewer patients on terizidone experienced SADEs, with lower default rates. The differences that we observed between cycloserine and terizidone require further elucidation.
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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: 31] [Impact Index Per Article: 6.2] [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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Lei Q, Zhao Y, Wang H, Zhou J, Lv X, Dang L, Zhu C. Simple and sensitive method for the analysis of 14 antituberculosis drugs using liquid chromatography/tandem mass spectrometry in human plasma. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34:e8667. [PMID: 31800129 DOI: 10.1002/rcm.8667] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 11/19/2019] [Accepted: 11/20/2019] [Indexed: 06/10/2023]
Abstract
UNLABELLED Monitoring plasma concentration and adjusting doses of antituberculosis (TB) drugs are beneficial for improving responses to drug treatment and avoiding adverse drug reactions. A simple and sensitive liquid chromatography/tandem mass spectrometry method was developed to measure the plasma concentrations of 14 anti-TB drugs: ethambutol, isoniazid, pyrazinamide, levofloxacin, gatifloxacin, moxifloxacin, prothionamide, linezolid, rifampin, rifapentine, rifabutin, cycloserine, p-aminosalicylic acid, and clofazimine. METHODS Human plasma was precipitated by acetonitrile and was subsequently separated by an AQ-C18 column with a gradient elution. Drug concentrations were determined using multiple reaction monitoring in positive ion electrospray ionization mode. According to pharmacokinetic data of patients, the peak concentration ranges and the timing of blood collection were determined. RESULTS Intra- and interday precision was < 14.8%. Linearity, accuracy, extraction recovery, and matrix effect were acceptable for each drug. The stability of the method satisfied different storage conditions. CONCLUSIONS The method allowed the sensitive and reproducible determination of 14 frequently used anti-TB drugs which has already been of benefit for some TB patients.
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Affiliation(s)
- Qian Lei
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
| | - Yuan Zhao
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
| | - Hao Wang
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
| | - Jun Zhou
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
| | - Xiaohui Lv
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
| | - Liyun Dang
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
| | - Changsheng Zhu
- Department of Pharmacy, Office of Drug Clinical Trial Institution and Department of Medical, Xi'an Chest Hospital, Xi'an, Shaanxi, China
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Tanna S, Ogwu J, Lawson G. Hyphenated mass spectrometry techniques for assessing medication adherence: advantages, challenges, clinical applications and future perspectives. ACTA ACUST UNITED AC 2020; 58:643-663. [DOI: 10.1515/cclm-2019-0820] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/19/2019] [Indexed: 11/15/2022]
Abstract
AbstractNonadherence to prescribed pharmacotherapy is an understated public health problem globally and is costing many patients their chance to return to good health and healthcare systems billions. Clinicians need an accurate assessment of adherence to medications to aid the clinical decision-making process in the event of poor patient progress and to maximise the patient health outcomes from the drug therapies prescribed. An overview of indirect and direct methods used to measure medication adherence is presented, highlighting the potential for accurate measuring of drugs in biological samples using hyphenated mass spectrometry (MS) techniques to provide healthcare professionals with a reliable evidence base for clinical decision making. In this review we summarise published applications of hyphenated MS techniques for a diverse range of clinical areas demonstrating the rise in the use of such direct methods for assessing medication adherence. Although liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods using plasma, serum and urine samples are the most popular, in recent years increased attention has been given to liquid chromatography high-resolution mass spectrometry (LC-HRMS) methods and alternative biosample matrices including hair, saliva and blood microsamples. The advantages and challenges of using hyphenated MS techniques to address this healthcare problem are also discussed alongside future perspectives.
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Affiliation(s)
- Sangeeta Tanna
- Leicester School of Pharmacy, Faculty of Health and Life Sciences, De Montfort University, Leicester, UK
| | - John Ogwu
- Leicester School of Pharmacy, Faculty of Health and Life Sciences, De Montfort University, Leicester, UK
| | - Graham Lawson
- Leicester School of Pharmacy, Faculty of Health and Life Sciences, De Montfort University, Leicester, UK
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Alghamdi WA, Alsultan A, Al-Shaer MH, An G, Ahmed S, Alkabab Y, Banu S, Barbakadze K, Houpt E, Kipiani M, Mikiashvili L, Schmidt S, Heysell SK, Kempker RR, Cegielski JP, Peloquin CA. Cycloserine Population Pharmacokinetics and Pharmacodynamics in Patients with Tuberculosis. Antimicrob Agents Chemother 2019; 63:e00055-19. [PMID: 30858211 PMCID: PMC6496076 DOI: 10.1128/aac.00055-19] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Accepted: 03/02/2019] [Indexed: 12/31/2022] Open
Abstract
Limited pharmacokinetic/pharmacodynamic (PK/PD) data exist on cycloserine in tuberculosis (TB) patients. We pooled several studies into a large PK data set to estimate the population PK parameters for cycloserine in TB patients. We also performed simulations to provide insight into optimizing the dosing of cycloserine. TB patients were included from Georgia, Bangladesh, and four U.S. sites. Monolix and mlxR package were used for population PK modeling and simulation. We used PK/PD targets for time above MIC of ≥30% and ≥64%, representing bactericidal activity and 80% of the maximum kill, to calculate the probability of target attainment (PTA). Optimal PK/PD breakpoints were defined as the highest MIC to achieve ≥90% of PTA. Data from 247 subjects, including 205 patients with drug-resistant TB, were included. The data were best described by a one-compartment model. In most cases, the PK/PD breakpoints for the simulated regimens were similar for both PK/PD targets. Higher PTA were achieved as the total daily dose was increased. The highest PK/PD breakpoint that resulted from the use of 250 mg dosages was 16 mg/liter. For MICs of >16 mg/liter, doses of at least 500 mg three times daily or 750 mg twice daily were needed. In conclusion, the current dosing for cycloserine, 250 to 500 mg once or twice daily, is not sufficient for MICs of >16mg/liter. Further studies are needed regarding the efficacy and tolerability of daily doses of >1,000 mg. Dividing the dose minimally affected the PK/PD breakpoints while optimizing exposure, which can potentially reduce adverse drug effects.
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Affiliation(s)
- Wael A Alghamdi
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Abdullah Alsultan
- Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Mohammad H Al-Shaer
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Guohua An
- Division of Pharmaceutics and Translational Therapeutics, College of Pharmacy, University of Iowa, Iowa City, Iowa, USA
| | - Shahriar Ahmed
- Infectious Diseases Division, International Centre for Diarrhoeal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Yosra Alkabab
- Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Sayera Banu
- Infectious Diseases Division, International Centre for Diarrhoeal Diseases Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | | | - Eric Houpt
- Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Maia Kipiani
- National Center for TB and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Lali Mikiashvili
- National Center for TB and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Stephan Schmidt
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, Department of Medicine, University of Virginia, Charlottesville, Virginia, USA
| | - Russell R Kempker
- Division of Infectious Diseases, Department of Medicine, Emory University, Atlanta, Georgia, USA
| | - J Peter Cegielski
- University of Texas Health Science Center at Tyler, Tyler, Texas, USA
| | - Charles A Peloquin
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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Deshpande D, Alffenaar JWC, Köser CU, Dheda K, Chapagain ML, Simbar N, Schön T, Sturkenboom MGG, McIlleron H, Lee PS, Koeuth T, Mpagama SG, Banu S, Foongladda S, Ogarkov O, Pholwat S, Houpt ER, Heysell SK, Gumbo T. d-Cycloserine Pharmacokinetics/Pharmacodynamics, Susceptibility, and Dosing Implications in Multidrug-resistant Tuberculosis: A Faustian Deal. Clin Infect Dis 2018; 67:S308-S316. [PMID: 30496460 PMCID: PMC6260153 DOI: 10.1093/cid/ciy624] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background d-cycloserine is used to treat multidrug-resistant tuberculosis. Its efficacy, contribution in combination therapy, and best clinical dose are unclear, also data on the d-cycloserine minimum inhibitory concentration (MIC) distributions is scant. Methods We performed a systematic search to identify pharmacokinetic and pharmacodynamic studies performed with d-cycloserine. We then performed a combined exposure-effect and dose fractionation study of d-cycloserine in the hollow fiber system model of tuberculosis (HFS-TB). In parallel, we identified d-cycloserine MICs in 415 clinical Mycobacterium tuberculosis (Mtb) isolates from patients. We utilized these results, including intracavitary concentrations, to identify the clinical dose that would be able to achieve or exceed target exposures in 10000 patients using Monte Carlo experiments (MCEs). Results There were no published d-cycloserine pharmacokinetics/pharmacodynamics studies identified. Therefore, we performed new HFS-TB experiments. Cyloserine killed 6.3 log10 colony-forming units (CFU)/mL extracellular bacilli over 28 days. Efficacy was driven by the percentage of time concentration persisted above MIC (%TMIC), with 1.0 log10 CFU/mL kill achieved by %TMIC = 30% (target exposure). The tentative epidemiological cutoff value with the Sensititre MYCOTB assay was 64 mg/L. In MCEs, 750 mg twice daily achieved target exposure in lung cavities of 92% of patients whereas 500 mg twice daily achieved target exposure in 85% of patients with meningitis. The proposed MCE-derived clinical susceptibility breakpoint at the proposed doses was 64 mg/L. Conclusions Cycloserine is cidal against Mtb. The susceptibility breakpoint is 64 mg/L. However, the doses likely to achieve the cidality in patients are high, and could be neurotoxic.
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Affiliation(s)
- Devyani Deshpande
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Jan-Willem C Alffenaar
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Claudio U Köser
- Department of Genetics, University of Cambridge, United Kingdom
| | - Keertan Dheda
- Lung Immunity Unit, Division of Pulmonology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Moti L Chapagain
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Noviana Simbar
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Thomas Schön
- Department of Infectious Diseases and Clinical Microbiology, Kalmar County Hospital
- Department of Clinical and Experimental Medicine, Division of Medical Microbiology, Linköping University, Sweden
| | - Marieke G G Sturkenboom
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, The Netherlands
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Observatory, South Africa
| | - Pooi S Lee
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | - Thearith Koeuth
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
| | | | - Sayera Banu
- International Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka
| | | | - Oleg Ogarkov
- Scientific Centre of the Family Health and Human Reproduction Problems, Irkutsk, Russian Federation
| | - Suporn Pholwat
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville
| | - Eric R Houpt
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville
| | - Scott K Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville
| | - Tawanda Gumbo
- Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
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11
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Zhang W, Wan S, Chen L, Wang X, Wang Z, Huang Y. Determination of cycloserine in microdialysis samples using liquid chromatography-tandem mass spectrometry with benzoyl chloride derivatization. Biomed Chromatogr 2018; 32:e4187. [PMID: 29314157 DOI: 10.1002/bmc.4187] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/15/2017] [Accepted: 12/25/2017] [Indexed: 12/31/2022]
Abstract
A new method for the analysis of cycloserine (4-amino-3-isoxazolidinone, CYC) in rat microdialysis samples has been developed. This method consists of derivatizing the CYC with benzoyl chloride, which transforms primary amines into highly stable derivatives. An attractive feature of this method was that the derivatization reaction is straightforward and can be completed within 10 min. The formed derivative, in contrast to the non-derivatized analyte, exhibited increased chromatographic retention and decreased matrix effects resulting from the co-elution of other components using reversed-phase liquid chromatography and on-line switching. Detection on a quadrupole-linear ion trap mass spectrometer (AB3200 Q-Trap) was performed using electrospray tandem mass spectrometry in multiple reaction monitoring mode. Various derivatization parameters were optimized in order to improve chromatographic separation and minimize ion suppression. In particular, the benzoylation reaction was improved to enhance the reproducibility and sensitivity of the chromatographic method. The transition m/z 207.1 → 105.1 was acquired to monitor the CYC derivatization products. The method was fully validated for its sensitivity, selectivity, matrix effect and stability. A good linearity over the selected range (r > 0.99, range = 22-2200 mg/L), as well as accuracy and precision within ±7% of the target values, was obtained. The assay described herein was successfully applied to quantitatively measure CYC in the lung and blood of anesthetized rats.
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Affiliation(s)
- Wenjing Zhang
- Department of Pharmacy, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, People's Republic of China
| | - Sihui Wan
- Department of Pharmacy, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, People's Republic of China.,Department of Clinical Pharmacy, College of Pharmacy, China Pharmaceutical University, Nanjing, People's Republic of China
| | - Lizhi Chen
- Department of Pharmacy, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, People's Republic of China
| | - Xuebin Wang
- Department of Pharmacy, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, People's Republic of China
| | - Zhuo Wang
- Department of Pharmacy, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, People's Republic of China
| | - Yi Huang
- Department of Respiratory Medicine, Changhai Hospital of Shanghai, Second Military Medical University, Shanghai, People's Republic of China
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12
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Naidoo A, Naidoo K, McIlleron H, Essack S, Padayatchi N. A Review of Moxifloxacin for the Treatment of Drug-Susceptible Tuberculosis. J Clin Pharmacol 2017; 57:1369-1386. [PMID: 28741299 DOI: 10.1002/jcph.968] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Accepted: 05/21/2017] [Indexed: 11/08/2022]
Abstract
Moxifloxacin, an 8-methoxy quinolone, is an important drug in the treatment of multidrug-resistant tuberculosis and is being investigated in novel drug regimens with pretomanid, bedaquiline, and pyrazinamide, or rifapentine, for the treatment of drug-susceptible tuberculosis. Early results of these studies are promising. Although current evidence does not support the use of moxifloxacin in treatment-shortening regimens for drug-susceptible tuberculosis, it may be recommended in patients unable to tolerate standard first-line drug regimens or for isoniazid monoresistance. Evidence suggests that the standard 400-mg dose of moxifloxacin used in the treatment of tuberculosis may be suboptimal in some patients, leading to worse tuberculosis treatment outcomes and emergence of drug resistance. Furthermore, a drug interaction with the rifamycins results in up to 31% reduced plasma concentrations of moxifloxacin when these are combined for treatment of drug-susceptible tuberculosis, although the clinical relevance of this interaction is unclear. Moxifloxacin exhibits extensive interindividual pharmacokinetic variability. Higher doses of moxifloxacin may be needed to achieve drug exposures required for improved clinical outcomes. Further study is, however, needed to determine the safety of proposed higher doses and clinically validated targets for drug exposure to moxifloxacin associated with improved tuberculosis treatment outcomes. We discuss in this review the evidence for the use of moxifloxacin in drug-susceptible tuberculosis and explore the role of moxifloxacin pharmacokinetics, pharmacodynamics, and drug interactions with rifamycins, on tuberculosis treatment outcomes when used in first-line tuberculosis drug regimens.
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Affiliation(s)
- Anushka Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
| | - Helen McIlleron
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Sabiha Essack
- Antimicrobial Research Unit, School of Health Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.,MRC-CAPRISA HIV-TB Pathogenesis and Treatment Research Unit, Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa
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13
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Ebers A, Stroup S, Mpagama S, Kisonga R, Lekule I, Liu J, Heysell S. Determination of plasma concentrations of levofloxacin by high performance liquid chromatography for use at a multidrug-resistant tuberculosis hospital in Tanzania. PLoS One 2017; 12:e0170663. [PMID: 28141813 PMCID: PMC5283651 DOI: 10.1371/journal.pone.0170663] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 01/09/2017] [Indexed: 11/18/2022] Open
Abstract
Therapeutic drug monitoring may improve multidrug-resistant tuberculosis (MDR-TB) treatment outcomes. Levofloxacin demonstrates significant individual pharmacokinetic variability. Thus, we sought to develop and validate a high-performance liquid chromatography (HPLC) method with ultraviolet (UV) detection for levofloxacin in patients on MDR-TB treatment. The HPLC-UV method is based on a solid phase extraction (SPE) and a direct injection into the HPLC system. The limit of quantification was 0.25 μg/mL, and the assay was linear over the concentration range of 0.25—15 μg/mL (y = 0.5668x—0.0603, R2 = 0.9992) for the determination of levofloxacin in plasma. The HPLC-UV methodology achieved excellent accuracy and reproducibility along a clinically meaningful range. The intra-assay RSD% of low, medium, and high quality control samples (QC) were 1.93, 2.44, and 1.90, respectively, while the inter-assay RSD% were 3.74, 5.65, and 3.30, respectively. The mean recovery was 96.84%. This method was then utilized to measure levofloxacin concentrations from patients’ plasma samples from a retrospective cohort of consecutive enrolled subjects treated for MDR-TB at the national TB hospital in Tanzania during 5/3/2013–8/31/2015. Plasma was collected at 2 hours after levofloxacin administration, the time of estimated peak concentration (eCmax) treatment. Forty-one MDR-TB patients had plasma available and 39 had traceable programmatic outcomes. Only 13 (32%) patients had any plasma concentration that reached the lower range of the expected literature derived Cmax with the median eCmax being 5.86 (3.33–9.08 μg/ml). Using Classification and Regression Tree analysis, an eCmax ≥7.55 μg/mL was identified as the threshold which best predicted cure. Analyzing this CART derived threshold on treatment outcome, the time to sputum culture conversion was 38.3 ± 22.7 days vs. 47.8 ± 26.5 days (p = 0.27) and a greater proportion were cured, in 10 out of 15 (66.7%) vs. 6 out of 18 (33.3%) (p = 0.06) respectively. Furthermore, one patient with an eCmax/minimum inhibitory concentration (MIC) of only 1.13 acquired extensively drug resistant (XDR)-TB while undergoing treatment. The individual variability of levofloxacin concentrations in MDR-TB patients from Tanzania supports further study of the application of onsite therapeutic drug monitoring and MIC testing.
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Affiliation(s)
- Andrew Ebers
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, United States of America
| | - Suzanne Stroup
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, United States of America
| | - Stellah Mpagama
- Kibong'oto Infectious Disease Hospital, Kilimanjaro, Tanzania
| | - Riziki Kisonga
- Kibong'oto Infectious Disease Hospital, Kilimanjaro, Tanzania
| | - Isaack Lekule
- Kibong'oto Infectious Disease Hospital, Kilimanjaro, Tanzania
| | - Jie Liu
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, United States of America
| | - Scott Heysell
- Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, United States of America
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14
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Lee S, Lee SH, Mok JH, Lee SJ, Kim KH, Lee JE, Lee SG, Chung JS, Kwak IS. Is Multi-Drug Resistant Tuberculosis More Prevalent in HIV-Infected Patients in Korea? Yonsei Med J 2016; 57:1508-10. [PMID: 27593882 PMCID: PMC5011286 DOI: 10.3349/ymj.2016.57.6.1508] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Revised: 03/02/2016] [Accepted: 03/24/2016] [Indexed: 11/27/2022] Open
Abstract
The epidemiological synergy between human immunodeficiency virus (HIV) and tuberculosis (TB) is a major threat to public health. However, the association between HIV and multi-drug resistant tuberculosis (MDR-TB) is not clear. To explore the association between HIV and MDR-TB infection, a case-control study was performed in Korea. A total of 1606 culture-proven TB patients (45 HIV vs. 1561 non-HIV) from January 2006 to October 2014 were included in this analysis. MDR-TB rates were 11.1% and 8.2% in the HIV and non-HIV groups, respectively (p=0.42), thus indicating that MDR-TB was not significantly associated with HIV infection in Korea.
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Affiliation(s)
- Shinwon Lee
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Sun Hee Lee
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea.
| | - Jeong Ha Mok
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Su Jin Lee
- Department of Internal Medicine, Pusan National University School of Medicine, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Kye Hyung Kim
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Jeong Eun Lee
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Seung Geun Lee
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Joo Seop Chung
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
| | - Ihm Soo Kwak
- Department of Internal Medicine, Pusan National University School of Medicine, Medical Research Institute, Pusan National University Hospital, Busan, Korea
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15
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Huang L, Liu J, Yu X, Shi L, Liu J, Xiao H, Huang Y. Drug-drug interactions between moxifloxacin and rifampicin based on pharmacokinetics in vivo in rats. Biomed Chromatogr 2016; 30:1591-8. [PMID: 27028459 DOI: 10.1002/bmc.3726] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 03/15/2016] [Accepted: 03/24/2016] [Indexed: 01/18/2023]
Abstract
Moxifloxacin and rifampicin are all the first-line options for the treatment of active tuberculosis, which are often combined for the treatment of multidrug resistance pulmonary tuberculosis in clinic. However, the potential drug-drug interactions between moxifloxacin and rifampicin were unknown. The aim of this study was to investigate the drug-drug interactions between moxifloxacin and rifampicin based on their pharmacokinetics in vivo after oral administration of the single drug and both drugs, and reveal their mutual effects on their pharmacokinetics. Eighteen male Sprague-Dawley rats were randomly assigned to three groups: moxifloxacin group, rifampicin group and moxifloxacin + rifampicin group. Plasma concentrations of moxifloxacin and rifampicin were determined using LC-MS at the designated time points after drug administration, and the main pharmacokinetic parameters were calculated. In addition, effects of moxifloxacin and rifampicin on their metabolic rate and absorption were investigated using rat liver microsome incubation systems and Caco-2 cell transwell model. The main pharmacokinetic parameters of moxifloxacin including Tmax , Cmax , t1/2 and AUC(0-t) increased more in the moxifloxacin + rifampicin group than in the moxifloxacin group, but the difference was not significant (p > 0.05). However, the pharmacokinetic parameters of rifampicin, including peak concentration, area under the concentration-time curve, half-life and the area under the first moment plasma concentration-time curve, increased significantly (p < 0.05) compared with the rifampicin group, and the time to peak concentration decreased significantly (p < 0.05). The mean residence time of rifampicin also increased in moxifloxacin + rifampicin group compared with the rifampicin group, but the difference was not significant (p > 0.05). The rat liver microsome incubation experiment indicated that moxifloxacin could increase the metabolic rate of rifampicin from 23.7 to 38.7 min. However, the Caco-2 cell transwell experiment showed that moxifloxacin could not affect the absorption rate of rifampicin. These changes could enhance the drug efficacy, but they could also cause drug accumulation, which might induce adverse effect, so it was suggested that the drug dosage should be adjusted and the drug concentration in plasma should be monitored if moxifloxacin and rifampicin are co-administered. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Lifei Huang
- Department of Respiratory and Critical Care, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Jiajun Liu
- Shanghai Jiao Tong University School of Medicine (2011 eight-year program), Shanghai, People's Republic of China
| | - Xin Yu
- Department of Respiratory and Critical Care, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Lei Shi
- Department of Respiratory and Critical Care, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Jian Liu
- Department of Respiratory and Critical Care, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
| | - Heping Xiao
- Department of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Yi Huang
- Department of Respiratory and Critical Care, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China
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