Analysis of sparse data in pharmacokinetic studies
https://doi.org/10.37489/2587-7836-2020-2-28-33
Abstract
Performing pharmacokinetic and statistical analysis in the case of sparse data presents significant difficulties. Using the example of the pharmacokinetic (PK) study of resveratrol in mice, the resampling method was allowed us to obtain individual PK-parameters and perform full-fledged statistical tests.
About the Authors
I. I. Miroshnichenko
FSBSI «Mental Health Research Center»
Russian Federation
Russian Federation
Miroshnichenko Igor I. – D. Sci. in Medicine, Head of pharmacokinetics laboratory. SPIN code: 4117-9703
Moscow
A. N. Simonov
FSBSI «Mental Health Research Center»
Russian Federation
Russian Federation
Simonov Anatoliy N. – Candidate of Biological Sciences, Head of laboratory of evidence-based medicine and biostatistics. SPIN code: 7087-8653
Moscow
I. I. Kuzmin
FSBSI «Mental Health Research Center»
Russian Federation
Russian Federation
Kuzmin Ivan I. – Research assistant of laboratory of evidence-based medicine and biostatistics. SPIN code: 1442-0325
Moscow
A. I. Platova
FSBSI «Mental Health Research Center»
Russian Federation
Russian Federation
Platova Angelina I. – Research assistant of pharmacokinetics laboratory. SPIN code: 6656-2194
Moscow
References
1. Gabrielsson J, Weiner D. Non-compartmental Analysis. In: Methods in Molecular Biology (Clifton, N.J.). Methods Mol Biol. 2012;(929):377–389. DOI: 10.1007/978-1-62703-050-2_16
2. Madrigal-Bujaidar E, Pérez-Montoya E, García-Medina S, et al. Pharmacokinetic parameters of ifosfamide in mouse pre-administered with grapefruit juice or naringin. Sci Rep. 2019;9(1). DOI: 10.1038/s41598-019-53204-3
3. Oganesyan EA, Miroshnichenko II, Vihrieva NS, et al. Enhanced systemic bioavailability of nanoparticle based formulations of trans-resveratrol. Himiko-farmacevticheskij zhurnal. 2010;44(2):25–28 (In Russ). DOI: 10.30906/0023-1134-2010-44-2-25-28
4. Sergienko VI, Dzhelliff R, Bondareva IB. Prikladnaya Farmakokinetika: Osnovnye Polozheniya i Klinicheskoe Primenenie. Moscow: Izdatel'stvo RAMN; 2003. (In Russ).
5. Chauzy A, Nadji A, Combes J-C, et al. Cerebrospinal fluid pharmacokinetics of ceftaroline in neurosurgical patients with an external ventricular drain. J Antimicrob Chemother. 2018;74(3):675–681. DOI: 10.1093/jac/dky489
6. Chu H-M, Ette EI. A random sampling approach for robust estimation of tissue-to-plasma ratio from extremely sparse data. AAPS J. 2005;7(1): E249-E258. DOI: 10.1208/aapsj070124
7. Mahmood I. Naive pooled-data approach for pharmacokinetic studies in pediatrics with a very small sample size. Am J Ther. 2014;21(4):269–274. DOI: 10.1097/MJT.0b013e31824ddee3
8. Raje AA, Mahajan V, Pathade V V, et al. Capillary microsampling in mice: effective way to move from sparse sampling to serial sampling in pharmacokinetics profiling. Xenobiotica. 2020;50(6):663–669. DOI: 10.1080/00498254.2019.1683259
9. Wang T, Baron K, Zhong W, Brundage R, Elmquist W. Bayesian approach to estimate AUC, partition coefficient and drug targeting index for studies with serial sacrifice design. Pharm Res. 2014;31(3):649–659. DOI: 10.1007/s11095-013-1187-0
10. Grzhibovskij MA. Analysis of three and more independent groups of quantitative data. Ekologiya cheloveka. 2008;(3):50–58. (In Russ).
Review
For citations:
Miroshnichenko I.I., Simonov A.N., Kuzmin I.I., Platova A.I. Analysis of sparse data in pharmacokinetic studies. Pharmacokinetics and Pharmacodynamics. 2020;(2):28-33. (In Russ.) https://doi.org/10.37489/2587-7836-2020-2-28-33
Views:
814
Email this article 