2021
DOI: 10.21037/atm-21-4124
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Effects of voriconazole on population pharmacokinetics and optimization of the initial dose of tacrolimus in children with chronic granulomatous disease undergoing hematopoietic stem cell transplantation

Abstract: Background: This study aimed to explore the effects of voriconazole on population pharmacokinetics and optimization of the initial dose of tacrolimus in children with chronic granulomatous disease (CGD) undergoing hematopoietic stem cell transplantation (HSCT).Methods: Thirty-four children with CGD undergoing HSCT were assessed to establish a population pharmacokinetic model (PPM) using the non-linear mixed effect. Tacrolimus concentrations were simulated by the Monte Carlo method in children weighing <25 kg a… Show more

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Cited by 7 publications
(9 citation statements)
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“…For example, a similar population pharmacokinetic study was also conducted in pediatric hematopoietic stem cell transplantation with voriconazole used as a covariate. 8 Other studies were mostly simple comparisons of the dose, concentration, or effectiveness of tacrolimus between groups, whether combined with voriconazole or not. [5][6][7][8][9][10] Therefore, there is still a lack of an accurate quantitative relationship between voriconazole exposure and a tacrolimus PK model.…”
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confidence: 99%
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“…For example, a similar population pharmacokinetic study was also conducted in pediatric hematopoietic stem cell transplantation with voriconazole used as a covariate. 8 Other studies were mostly simple comparisons of the dose, concentration, or effectiveness of tacrolimus between groups, whether combined with voriconazole or not. [5][6][7][8][9][10] Therefore, there is still a lack of an accurate quantitative relationship between voriconazole exposure and a tacrolimus PK model.…”
mentioning
confidence: 99%
“…8 Other studies were mostly simple comparisons of the dose, concentration, or effectiveness of tacrolimus between groups, whether combined with voriconazole or not. [5][6][7][8][9][10] Therefore, there is still a lack of an accurate quantitative relationship between voriconazole exposure and a tacrolimus PK model. A more detailed PK model is helpful to illustrate this quantitative relationship and provide a basis for the optimization of a combined tacrolimus and voriconazole dose regimen after lung transplantation.…”
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confidence: 99%
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“…None of the published models could meet evaluation standers of this test, probably because the patients of these models were children diagnosed as pernicious hematologic diseases, Crohn's disease, combined de ciency syndrome, and chronic granulomatous disease [18][19][20][21][22], therefore couldn't describe our patients' pharmacokinetic characteristics adequately. Pediatrics with β-TM received blood transfusions treatment since the onset of disease, with the prolongation of disease and frequent blood transfusions, regular iron removal treatment also fails to prevent iron deposition in liver of these children, leaving them to suffer varying degrees of impaired liver function, which may result to a different ability to metabolize TAC compared with children have other hematological disorders.…”
Section: Discussionmentioning
confidence: 99%
“…The goodness-of-fit plots of the model (observations vs. predictions and observations/predictions vs. time), individual plots, and conditional weighted residual (CWRES) vs. time/ population predictions/individual predictions were used to estimate the final model, where CWRES values in the range of -3 to 3 represented a good prediction of the model (Chen et al, 2021;Chen et al, 2022). In addition, the medians and 2.5-97.5% results from bootstrap (n = 1,000) were used to compare with final model parameters.…”
Section: Model Evaluationmentioning
confidence: 99%