2020
DOI: 10.2147/dddt.s246229
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<p>The Effect of Liver and Kidney Disease on the Pharmacokinetics of Clozapine and Sildenafil: A Physiologically Based Pharmacokinetic Modeling</p>

Abstract: Background and Objectives: Physiologically based pharmacokinetic (PBPK) modeling permits clinical scientists to reduce practical constraints for clinical trials on patients with special diseases. In this study, simulations were carried out to validate the pharmacokinetic parameters of clozapine and sildenafil using Simcyp ® simulator in young male adults and compare the effect of renal or hepatic impairment on the pharmacokinetic parameters of clozapine and sildenafil. Also, the effect of age on pharmacokineti… Show more

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Cited by 9 publications
(8 citation statements)
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“…In comparison to the ADAM model, the first-order absorption model improves simulation performance. In the Ghoneim et al [ 20 ], observed data was from patient with renal impairment or hepatic impairment whereas patients in the current clinical study did not have renal impairment or hepatic impairment. Difference of physiological characteristics might have contributed to determination of the model structure.…”
Section: Discussionmentioning
confidence: 63%
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“…In comparison to the ADAM model, the first-order absorption model improves simulation performance. In the Ghoneim et al [ 20 ], observed data was from patient with renal impairment or hepatic impairment whereas patients in the current clinical study did not have renal impairment or hepatic impairment. Difference of physiological characteristics might have contributed to determination of the model structure.…”
Section: Discussionmentioning
confidence: 63%
“…It is believed that only one published study exists constructing the PBPK modeling of the clozapine in patients [ 20 ]. The first-order absorption model for clozapine produced the best fit in this study.…”
Section: Discussionmentioning
confidence: 99%
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“…Recently, PBPK modeling has received great attention for the prediction of systemic drug concentrations in healthy and special populations [ 19 ]. Also, prediction of inter-individual variabilities accompanied by absorption, distribution, metabolism and excretion (ADME) of administered drugs has been achieved by PBPK modeling [ 20 , 21 ]. In addition, it can promote development of drug-disease model via incorporation of pathophysiological variabilities occurring within a certain disease [ 22 ].…”
Section: Introductionmentioning
confidence: 99%