Ma Ida Mohmaed Ali, A Laura Nijstad, René J Boosman, Marie-Rose B S Crombag, Shelby Barnett, Gareth J Veal, Arief Lalmohamed, Nielka P van Erp, Neeltje Steeghs, C Michel Zwaan, Jos H Beijnen, Hinke Siebinga, Alwin D R Huitema
{"title":"评估各年龄组多柔比星暴露的人群药代动力学研究","authors":"Ma Ida Mohmaed Ali, A Laura Nijstad, René J Boosman, Marie-Rose B S Crombag, Shelby Barnett, Gareth J Veal, Arief Lalmohamed, Nielka P van Erp, Neeltje Steeghs, C Michel Zwaan, Jos H Beijnen, Hinke Siebinga, Alwin D R Huitema","doi":"10.1007/s40262-024-01445-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The effect of age on doxorubicin pharmacokinetics remains inconclusive, especially in patients at the extremes of the age spectrum. We developed a population pharmacokinetic model to further investigate the impact of age on the pharmacokinetics of doxorubicin.</p><p><strong>Methods: </strong>A three-compartment model, incorporating allometric scaling was developed to describe doxorubicin pharmacokinetics across all ages. First, the effect of age in young patients was investigated, by adding a maturation function on clearance (CL), the central compartment (V1) and peripheral compartments (V2 and V3). Second, the impact of ageing was investigated by adding a maximal effect (E<sub>max</sub>) function on CL, V1, V2, and V3. To investigate the overall impact of age on doxorubicin exposure, various simulations were conducted.</p><p><strong>Results: </strong>A total of 168 patients (age: 0.11-90 years) with 555 doxorubicin samples were included. The maturation function was relevant for V1 and V2 (13.1 and 23.7 L, respectively), leading to an increase in V1 and V2 with increasing age. In contrast, adding an E<sub>max</sub> function only impacted V3 (1063L), resulting in a decrease of V3 with age. Simulations showed no clinically relevant difference in the exposure of doxorubicin between age groups.</p><p><strong>Conclusion: </strong>A population pharmacokinetic model with data across the age range showed that age predominantly affected volumes of distribution of the central and peripheral compartments. These effects were not considered to be clinically relevant based on performed simulations. This supports the use of currently used doxorubicin dosages of 1 mg/kg for infants and toddlers < 10 kg and body surface area-based dosing for other patients.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Population Pharmacokinetic Study to Evaluate Doxorubicin Exposure Across All Age Groups.\",\"authors\":\"Ma Ida Mohmaed Ali, A Laura Nijstad, René J Boosman, Marie-Rose B S Crombag, Shelby Barnett, Gareth J Veal, Arief Lalmohamed, Nielka P van Erp, Neeltje Steeghs, C Michel Zwaan, Jos H Beijnen, Hinke Siebinga, Alwin D R Huitema\",\"doi\":\"10.1007/s40262-024-01445-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The effect of age on doxorubicin pharmacokinetics remains inconclusive, especially in patients at the extremes of the age spectrum. We developed a population pharmacokinetic model to further investigate the impact of age on the pharmacokinetics of doxorubicin.</p><p><strong>Methods: </strong>A three-compartment model, incorporating allometric scaling was developed to describe doxorubicin pharmacokinetics across all ages. First, the effect of age in young patients was investigated, by adding a maturation function on clearance (CL), the central compartment (V1) and peripheral compartments (V2 and V3). Second, the impact of ageing was investigated by adding a maximal effect (E<sub>max</sub>) function on CL, V1, V2, and V3. To investigate the overall impact of age on doxorubicin exposure, various simulations were conducted.</p><p><strong>Results: </strong>A total of 168 patients (age: 0.11-90 years) with 555 doxorubicin samples were included. The maturation function was relevant for V1 and V2 (13.1 and 23.7 L, respectively), leading to an increase in V1 and V2 with increasing age. In contrast, adding an E<sub>max</sub> function only impacted V3 (1063L), resulting in a decrease of V3 with age. Simulations showed no clinically relevant difference in the exposure of doxorubicin between age groups.</p><p><strong>Conclusion: </strong>A population pharmacokinetic model with data across the age range showed that age predominantly affected volumes of distribution of the central and peripheral compartments. These effects were not considered to be clinically relevant based on performed simulations. This supports the use of currently used doxorubicin dosages of 1 mg/kg for infants and toddlers < 10 kg and body surface area-based dosing for other patients.</p>\",\"PeriodicalId\":10405,\"journal\":{\"name\":\"Clinical Pharmacokinetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Pharmacokinetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s40262-024-01445-5\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Pharmacokinetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40262-024-01445-5","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
A Population Pharmacokinetic Study to Evaluate Doxorubicin Exposure Across All Age Groups.
Background: The effect of age on doxorubicin pharmacokinetics remains inconclusive, especially in patients at the extremes of the age spectrum. We developed a population pharmacokinetic model to further investigate the impact of age on the pharmacokinetics of doxorubicin.
Methods: A three-compartment model, incorporating allometric scaling was developed to describe doxorubicin pharmacokinetics across all ages. First, the effect of age in young patients was investigated, by adding a maturation function on clearance (CL), the central compartment (V1) and peripheral compartments (V2 and V3). Second, the impact of ageing was investigated by adding a maximal effect (Emax) function on CL, V1, V2, and V3. To investigate the overall impact of age on doxorubicin exposure, various simulations were conducted.
Results: A total of 168 patients (age: 0.11-90 years) with 555 doxorubicin samples were included. The maturation function was relevant for V1 and V2 (13.1 and 23.7 L, respectively), leading to an increase in V1 and V2 with increasing age. In contrast, adding an Emax function only impacted V3 (1063L), resulting in a decrease of V3 with age. Simulations showed no clinically relevant difference in the exposure of doxorubicin between age groups.
Conclusion: A population pharmacokinetic model with data across the age range showed that age predominantly affected volumes of distribution of the central and peripheral compartments. These effects were not considered to be clinically relevant based on performed simulations. This supports the use of currently used doxorubicin dosages of 1 mg/kg for infants and toddlers < 10 kg and body surface area-based dosing for other patients.
期刊介绍:
Clinical Pharmacokinetics promotes the continuing development of clinical pharmacokinetics and pharmacodynamics for the improvement of drug therapy, and for furthering postgraduate education in clinical pharmacology and therapeutics.
Pharmacokinetics, the study of drug disposition in the body, is an integral part of drug development and rational use. Knowledge and application of pharmacokinetic principles leads to accelerated drug development, cost effective drug use and a reduced frequency of adverse effects and drug interactions.