F. Gafar, R. Wasmann, H. McIlleron, R. Aarnoutse, H. Schaaf, B. Marais, D. Agarwal, S. Antwi, N. D. Bang, A. Bekker, D. Bell, C. Chabala, Louise Choo, G. Davies, J. Day, R. Dayal, P. Denti, P. Donald, E. Engidawork, A. Garcia-Prats, D. Gibb, S. Graham, A. Hesseling, S. Heysell, Misgana I Idris, S. Kabra, A. Kinikar, A. H. Kumar, A. Kwara, R. Lodha, C. Magis-Escurra, Nilza Martinez, B. Mathew, V. Mave, E. Mduma, R. Mlotha-Mitole, S. Mpagama, A. Mukherjee, H. Nataprawira, C. Peloquin, T. Pouplin, G. Ramachandran, Jaya Ranjalkar, V. Roy, R. Ruslami, I. Shah, Yatish Singh, M. Sturkenboom, E. Svensson, S. Swaminathan, Urmilla Thatte, S. Thee, T. Thomas, T. Tikiso, D. Touw, A. Turkova, T. Velpandian, L. M. Verhagen, J. Winckler, Hongmei Yang, V. Yunivita, K. Taxis, J. Stevens, J. Alffenaar
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Alffenaar","doi":"10.2139/ssrn.4161712","DOIUrl":null,"url":null,"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 (Cmax) were assessed with random-effects models, normalised with current World Health Organization-recommended paediatric doses. Determinants of AUC0–24 and Cmax 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 Cmax 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. Summary estimates and key determinants of anti-TB drug pharmacokinetics in children and adolescents were assessed from globally available data, advocating for dose adjustment or therapeutic drug monitoring in certain groups at risk of suboptimal exposures https://bit.ly/3Vzw4f0","PeriodicalId":77419,"journal":{"name":"The European respiratory journal. Supplement","volume":"35 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Global estimates and determinants of antituberculosis drug pharmacokinetics in children and adolescents: a systematic review and individual patient data meta-analysis\",\"authors\":\"F. Gafar, R. Wasmann, H. McIlleron, R. Aarnoutse, H. Schaaf, B. Marais, D. Agarwal, S. Antwi, N. D. Bang, A. Bekker, D. Bell, C. Chabala, Louise Choo, G. Davies, J. Day, R. Dayal, P. Denti, P. Donald, E. Engidawork, A. Garcia-Prats, D. Gibb, S. Graham, A. Hesseling, S. Heysell, Misgana I Idris, S. Kabra, A. Kinikar, A. H. Kumar, A. Kwara, R. Lodha, C. Magis-Escurra, Nilza Martinez, B. Mathew, V. Mave, E. Mduma, R. Mlotha-Mitole, S. Mpagama, A. Mukherjee, H. Nataprawira, C. Peloquin, T. Pouplin, G. Ramachandran, Jaya Ranjalkar, V. Roy, R. Ruslami, I. Shah, Yatish Singh, M. Sturkenboom, E. Svensson, S. Swaminathan, Urmilla Thatte, S. Thee, T. Thomas, T. Tikiso, D. Touw, A. Turkova, T. Velpandian, L. M. Verhagen, J. Winckler, Hongmei Yang, V. Yunivita, K. Taxis, J. Stevens, J. Alffenaar\",\"doi\":\"10.2139/ssrn.4161712\",\"DOIUrl\":null,\"url\":null,\"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 (Cmax) were assessed with random-effects models, normalised with current World Health Organization-recommended paediatric doses. Determinants of AUC0–24 and Cmax 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 Cmax 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. Summary estimates and key determinants of anti-TB drug pharmacokinetics in children and adolescents were assessed from globally available data, advocating for dose adjustment or therapeutic drug monitoring in certain groups at risk of suboptimal exposures https://bit.ly/3Vzw4f0\",\"PeriodicalId\":77419,\"journal\":{\"name\":\"The European respiratory journal. Supplement\",\"volume\":\"35 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The European respiratory journal. 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引用次数: 9
摘要
背景:抗结核药物的次优暴露与不良的治疗结果有关。我们的目的是在全球范围内调查儿童和青少年一线抗结核药物药代动力学的估计和决定因素。方法系统检索MEDLINE、Embase和Web of Science(1990-2021),检索一线抗结核药物在儿童和青少年中的药代动力学研究。个体患者数据来自符合条件的研究的作者。使用随机效应模型评估了给药后0 - 24小时血浆浓度-时间曲线下的总面积/外推面积(AUC0-24)和峰值血浆浓度(Cmax),并按世界卫生组织目前推荐的儿科剂量标准化。采用线性混合效应模型评估AUC0-24和Cmax的决定因素。在55项符合条件的研究中,39项(71%)的个体患者数据可用,包括来自12个国家的1628名参与者。对异烟肼(18.7 (95% CI 15.5-22.6) h·mg·L−1)、利福平(34.4 (95% CI 29.4-40.3) h·mg·L−1)、吡嗪酰胺(375.0 (95% CI 339.9-413.7) h·mg·L−1)和乙胺丁醇(8.0 (95% CI 6.4-10.0) h·mg·L−1)的稳态AUC0-24的几何平均值进行了总结。我们的多变量模型显示,年龄较小(尤其是<2岁)和hiv阳性与所有一线抗结核药物的AUC0-24降低有关,而严重营养不良与异烟肼和吡嗪酰胺的AUC0-24降低有关。n -乙酰转移酶2快速乙酰化剂的异烟肼AUC0-24较低,缓慢乙酰化剂的异烟肼AUC0-24较中间乙酰化剂高。Cmax的决定因素与AUC0-24相似。结论:本研究提供了儿童和青少年一线抗结核药物血浆暴露的最全面估计。确定了药物暴露的关键决定因素。这些可能与人群特异性剂量调整或个体化治疗药物监测有关。根据全球可获得的数据,对儿童和青少年抗结核药物药代动力学的总结估计和关键决定因素进行了评估,提倡对某些存在次优暴露风险的群体进行剂量调整或治疗性药物监测https://bit.ly/3Vzw4f0
Global estimates and determinants of antituberculosis drug pharmacokinetics in children and adolescents: a systematic review and individual patient data meta-analysis
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 (Cmax) were assessed with random-effects models, normalised with current World Health Organization-recommended paediatric doses. Determinants of AUC0–24 and Cmax 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 Cmax 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. Summary estimates and key determinants of anti-TB drug pharmacokinetics in children and adolescents were assessed from globally available data, advocating for dose adjustment or therapeutic drug monitoring in certain groups at risk of suboptimal exposures https://bit.ly/3Vzw4f0