Response to: 'Bodyweight-adjustments introduce significant correlations between CYP3A metrics and tacrolimus clearance'
- PMID: 28168728
- PMCID: PMC5427232
- DOI: 10.1111/bcp.13249
Response to: 'Bodyweight-adjustments introduce significant correlations between CYP3A metrics and tacrolimus clearance'
Keywords: 4β-hydroxycholesterol; CYP3A; bodyweight; kidney transplantation; tacrolimus.
Figures
Comment in
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Response to: 'Response to: Bodyweight-adjustments introduce significant correlations between CYP3A metrics and tacrolimus clearance'.Br J Clin Pharmacol. 2017 Jun;83(6):1357-1358. doi: 10.1111/bcp.13276. Epub 2017 Apr 3. Br J Clin Pharmacol. 2017. PMID: 28374426 Free PMC article. No abstract available.
Comment on
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Comparative performance of oral midazolam clearance and plasma 4β-hydroxycholesterol to explain interindividual variability in tacrolimus clearance.Br J Clin Pharmacol. 2016 Dec;82(6):1539-1549. doi: 10.1111/bcp.13083. Epub 2016 Sep 20. Br J Clin Pharmacol. 2016. PMID: 27501475 Free PMC article.
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Bodyweight-adjustments introduce significant correlations between CYP3A metrics and tacrolimus clearance.Br J Clin Pharmacol. 2017 Jun;83(6):1350-1352. doi: 10.1111/bcp.13188. Epub 2016 Dec 22. Br J Clin Pharmacol. 2017. PMID: 28008657 Free PMC article. No abstract available.
References
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- Brooks E, Tett SE, Isbel NM, Staatz CE. Population pharmacokinetic modelling and Bayesian estimation of tacrolimus exposure: is this clinically useful for dosage prediction yet? Clin Pharmacokinet 2016; 55: 1295–1335. - PubMed
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