Performance of a Population Pharmacokinetic Model of Lithium in Thai Patients
Article Sidebar
Main Article Content
Abstract
Objective: To assess the performance of the population pharmacokinetic model by Yukawa et al. in predicting lithium levels at the steady state in Thai bipolar patients, comparing with that of the traditional method. Method: The study retrospectively collected the data from 140 Thai patients with 85 female and average weight and age of 36.3 years and 63.7 kg, respectively. The performance in predicting steady state lithium concentrations of the model by Yukawa et al and the traditional method was evaluated using absolute prediction error (APE), mean absolute prediction error (MAPE) and root mean square error (RMSE). Results: Steady state lithium concentrations predicted from the model of Yukawa et al resulted in a significantly lower bias, compared to those from the traditional method. MAPEs from the model by Yukawa et al and the traditional method were 16.65 and 24.01, respectively (P < 0.001). The Yukawa et al model showed a higher precision than the traditional method. RMSEs from the model by Yukawa et al and the traditional method were 19.37 and 30.84, respectively (P < 0.001). Conclusion: The population pharmacokinetic model proposed by Yukawa et al has a better predictive ability in predicting steady state lithium concentrations, compared with that of the traditional method. Therefore, apart from traditional
Article Details
ผลการวิจัยและความคิดเห็นที่ปรากฏในบทความถือเป็นความคิดเห็นและอยู่ในความรับผิดชอบของผู้นิพนธ์ มิใช่ความเห็นหรือความรับผิดชอบของกองบรรณาธิการ หรือคณะเภสัชศาสตร์ มหาวิทยาลัยสงขลานครินทร์ ทั้งนี้ไม่รวมความผิดพลาดอันเกิดจากการพิมพ์ บทความที่ได้รับการเผยแพร่โดยวารสารเภสัชกรรมไทยถือเป็นสิทธิ์ของวารสารฯ
References
2. Merikangas KR, Jin R, He J-P, Kessler RC, Lee S, Sampson NA, et al. Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiat. 2011;68:241-51.
3. Sayers J. The world health report 2001-Mental health: new understanding, new hope. Bull World Health Organ 2001; 79: 1085.
4. Belmaker R. Bipolar disorder. N Engl J Med. 2004; 351: 476-86.
5. Price AL, Marzani-Nissen GR. Bipolar disorders: a review. Am Fam Physician. 2012;85:483-93.
6. Sproule B. Lithium in bipolar disorder. Clin Pharmaco kinet. 2002;41:639-60.
7. Bauer LA. Applied clinical pharmacokinetics. New York: McGraw-Hill; 2001.
8. Murphy JE. Clinical pharmacokinetics. 5th ed. Bethesda: American Society of Health-System Pharmacists; 2011.
9. Winter ME. Basic clinical pharmacokinetics. 4th ed. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health; 2010.
10. Huang HC, Chang YL, Lan TH, Chiu HJ, Liu WM, Lee T. Prediction of optimal lithium doses for Taiwan ese psychiatric patients. J Clin Pharm Ther. 2008; 33: 115-21.
11. Yukawa E, Nomiyama N, Higuchi S, Aoyama T. Lithium population pharmacokinetics from routine clinical data: role of patient characteristics for estimating dosing regimens. Ther Drug Monit 1993; 15: 75-82.
12. ElDesoky ES, Kumar V, Alorainy MS, Hamdi MM, Derendorf H. Estimation of lithium clearance from routine clinical data in Egyptian bipolar patients. A population pharmacokinetic approach. Int J Clin Phar macol Ther 2008; 46: 617-26.
13. Findling RL, Landersdorfer CB, Kafantaris V, Pavu luri M, McNamara NK, McClellan J, et al. First-dose pharmacokinetics of lithium carbonate in children and adolescents. J Clin Psychopharmacol. 2010; 30: 404-10.
14. Jermain D, Crismon M, Martin ES 3rd. Population pharmacokinetics of lithium. Clin Pharm 1991;10: 376 -81.
15. Landersdorfer CB, Findling RL, Frazier JA, Kafan taris V, Kirkpatrick CM. Lithium in paediatric patients with bipolar disorder: implications for selection of dosage regimens via population pharmacokinetics/ pharmacodynamics. Clin Pharmacokinet. 2017; 56: 77-90.
16. Perez-Castello I, Mangas-Sanjuan V, Gonzalez-Garcia I, Gonzalez-Alvarez I, Bermejo M, Marco-Garbayo JL, et al. Population pharmacokinetic model of lithium and drug compliance assessment. Eur Neuropsychopharmacol. 2016;26:1868-76.
17. Yu W, Sun X, Li Y, Li M, Wang K, Li H. Population pharmacokinetics of lithium carbonate in young male healthy Chinese volunteers. Pharmacopsychiatry 2016; 49: 177-81.
18. Zetin M, Garber D, de Antonio M, Schlegel A, Feureisen S, Fieve R, et al. Prediction of lithium dose: a mathematical alternative to the test-dose method. J Clin Psychiatry. 1986; 47: 175-8.
19. Lobeck F, Nelson M, Evans R, Hornstra R. Evaluation of four methods for predicting lithium dosage. Clin Pharm 1987; 6:230-3.
20. Cooper TB, Bergner PE, Simpson GM. The 24-hour serum lithium level as a prognosticator of dosage requirements. Am J Psychiat. 1973;130:601-3.
21. US Food and Drug Administration. Guidance for industry: population pharmacokinetics [online]. 1999. [cited Jun 9, 2018]. Available from: www.fda.gov/ downloads/drugs/guidances/UCM072137.pdf.
22. Ette EI, Williams PJ. Population pharmacokinetics II: estimation methods. Ann Pharmacother 2004; 38 :1907-15.
23. Owen JS, Fiedler-Kelly J. Introduction to model evaluation. In: Owen JS, Fiedler-Kelly J, editors. Introduction to population pharmacokinetic/pharmaco dynamic analysis with nonlinear mixed effects models. New Jersey: Wiley; 2014. p. 212–31.
24. Sukon P. Assessing accuracy and precision of developed equations in prediction of blood lithium levels in psychiatric patients in Khon Kaen Rajanagarindra Psychiatric Hospital. Isan Journal of Pharmaceutical Sciences. 2013;9:82-93.
25. Suwan P. Prediction of steady state serum lithium concentrations by population models [master thesis]. Nakhon Pathom : Silpakorn University; 2004.
26.MICROMEDEX® [database on the internet]. Colorado: Thomson Reuters (Healthcare); c 1974-2009. DRUGDEX® System, Risperidone, diazepam, clonazepam, perphenazine; [cited 2018 Jun 4]. Available from: www.thomsonhc.com.
27. Handler J. Lithium and antihypertensive medication: a potentially dangerous interaction. J Clin Hypertens. 2009;11: 738-42.
28. Finley PR, Warner MD, Peabody CA. Clinical relevance of drug interactions with lithium. Clin Phar macokinet 1995; 29: 172-91.
