Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV
dc.contributor.advisor | Denti, Paolo | |
dc.contributor.advisor | Hesseling, Anneke | |
dc.contributor.advisor | Garcia-Prats, Anthony | |
dc.contributor.author | Van der Laan, Louvina Elizabeth | |
dc.date.accessioned | 2025-03-31T07:58:36Z | |
dc.date.available | 2025-03-31T07:58:36Z | |
dc.date.issued | 2024 | |
dc.date.updated | 2025-03-31T07:56:43Z | |
dc.description.abstract | The global burden of rifampicin- and/or multidrug-resistant (RR/MDR) -TB, i.e. Mycobacterium tuberculosis resistant to rifampicin and/or isoniazid is increasing, especially in settings with high HIV prevalence. Optimising the prevention and treatment of RR/MDR-TB in children in such settings is critically important. Population pharmacokinetic modelling, the state-of-the art technique to interpret pharmacological data, can play a pivotal role for therapeutic optimization in children, since it enables characterisation and inclusion of the effects of important developmental factors, thus allowing for determination and evaluation of effective yet safe RR/MDR treatment in children. | |
dc.identifier.apacitation | Van der Laan, L. E. (2024). <i>Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV</i>. (). University of Cape Town ,Faculty of Health Sciences ,Department of Medicine. Retrieved from http://hdl.handle.net/11427/41299 | en_ZA |
dc.identifier.chicagocitation | Van der Laan, Louvina Elizabeth. <i>"Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV."</i> ., University of Cape Town ,Faculty of Health Sciences ,Department of Medicine, 2024. http://hdl.handle.net/11427/41299 | en_ZA |
dc.identifier.citation | Van der Laan, L.E. 2024. Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV. . University of Cape Town ,Faculty of Health Sciences ,Department of Medicine. http://hdl.handle.net/11427/41299 | en_ZA |
dc.identifier.ris | TY - Thesis / Dissertation AU - Van der Laan, Louvina Elizabeth AB - The global burden of rifampicin- and/or multidrug-resistant (RR/MDR) -TB, i.e. Mycobacterium tuberculosis resistant to rifampicin and/or isoniazid is increasing, especially in settings with high HIV prevalence. Optimising the prevention and treatment of RR/MDR-TB in children in such settings is critically important. Population pharmacokinetic modelling, the state-of-the art technique to interpret pharmacological data, can play a pivotal role for therapeutic optimization in children, since it enables characterisation and inclusion of the effects of important developmental factors, thus allowing for determination and evaluation of effective yet safe RR/MDR treatment in children. DA - 2024 DB - OpenUCT DP - University of Cape Town KW - Rifampicin-resistant TB KW - HIV LK - https://open.uct.ac.za PB - University of Cape Town PY - 2024 T1 - Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV TI - Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV UR - http://hdl.handle.net/11427/41299 ER - | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/41299 | |
dc.identifier.vancouvercitation | Van der Laan LE. Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV. []. University of Cape Town ,Faculty of Health Sciences ,Department of Medicine, 2024 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/41299 | en_ZA |
dc.language.iso | en | |
dc.language.rfc3066 | ENG | |
dc.publisher.department | Department of Medicine | |
dc.publisher.faculty | Faculty of Health Sciences | |
dc.publisher.institution | University of Cape Town | |
dc.subject | Rifampicin-resistant TB | |
dc.subject | HIV | |
dc.title | Population pharmacokinetic modelling to optimise treatment for children with Rifampicin-resistant TB and HIV | |
dc.type | Thesis / Dissertation | |
dc.type.qualificationlevel | Doctoral | |
dc.type.qualificationlevel | PhD |