Application of lognormal distribution in comparison of cyclosporine a c0 concentration measured by different method in renal transplant patients
- Author:
Wen-Qian CHEN
1
Author Information
- Publication Type:Journal Article
- Keywords: Chemiluminescent microparticle immunoassay; Cyclosporine A; Logarithmic normal distribution; Renal transplantation; UPLC-MS/MS
- From: Chinese Pharmaceutical Journal 2014;49(4):329-333
- CountryChina
- Language:Chinese
- Abstract: OBJECTIVE: To discuss the application of conversion method based on lognormal distribution in comparison of different detection methods, taking cyclosporine A trough concentration in renal transplant patients for example. To establish a more accurate method for conversion of the results by different detection methods. METHODS: Cyclosporine A trough concentration data measured by UPLC-MS/MS and CMIA were changed to logarithmic form, and nonparametric Kolmogorov-Smirnov test was used to analyze whether they accorded with normal distribution. The conversion coefficient (CCop) was determined by the ratio of optimal trough concentrations by the two detection methods. This conversion method was used for the rapid switch of results of the two methods, and was compared with the traditional linear regression method and average comparison method. RESULTS: The results of two methods accorded with normal distribution (P > 0.05) after transformed logarithmically. The conversion coefficient CCop was 1.29. Compared with linear regression method, the developed lognormal distribution method had smaller weight residues (WRES) in the low concentration region. The determined optimal c0 concentration can better reflect the target concentration for ideal pharmacological effect than the average. CONCLUSION: Lognormal distribution method developed in this study can be used to switch results of the different detection methods better when detection methods change in therapeutic drug monitoring, which is available for adjustment of individualized dosing regimens.
