Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/30018
Title: A global multicenter study on reference values: 2. Exploration of sources of variation across the countries
Authors: Ichihara, Kiyoshi
Barth, Julian H
Klee, George
Shimizu, Yoshihisa
Xia, Liangyu
Hoffmann, Mariza
Shah, Swarup
Matsha, Tandi
Wassung, Janette
Smit, Francois
Ruzhanskaya, Anna
Straseski, Joely
Bustos, Daniel N
Kimura, Shogo
Takahashi, Aki
Uludağ Üniversitesi/Tıp Fakültesi/Tıbbi Biyokimya Anabilim Dalı.
Özarda, Yeşim
AAL-8873-2021
35741320500
Keywords: Medical laboratory technology
Age-related changes
Alcohol-related changes
BMI-related changes
Body mass index (BMI)
Ethnicity-related changes
Multiple regression analysis
Reference values
Smoking-related changes
Worldwide multicenter study
C-reactive protein
Common reference intervals
Ethnic-groups
Myocardial-infarction
Risk-factors
Collaborative derivation
Worldwide multicenter
Biochemical analytes
Cardiovascular risk
Hepatic steatosis
Issue Date: Apr-2017
Publisher: Elsevier
Citation: Ichihara, K. vd. (2017). ''A global multicenter study on reference values: 2. Exploration of sources of variation across the countries''. Clinica Chimica Acta, 467(Special Issue), 83-97.
Abstract: Objectives: The intent of this study, based on a global multicenter study of reference values (RVs) for serum analytes was to explore biological sources of variation (SVs) of the RVs among 12 countries around the world. Methods: As described in the first part of this paper, RVs of 50 major serum analytes from 13,396 healthy individuals living in 12 countries were obtained. Analyzed in this study were 23 clinical chemistry analytes and 8 analytes measured by immunoturbidimetry. Multiple regression analysis was performed for each gender, country by country, analyte by analyte, by setting four major SVs (age, BMI, and levels of drinking and smoking) as a fixed set of explanatory variables. For analytes with skewed distributions, log-transformation was applied. The association of each source of variation with RVs was expressed as the partial correlation coefficient (rp). Results: Obvious gender and age-related changes in the RVs were observed in many analytes, almost consistently between countries. Compilation of age-related variations of RVs after adjusting for between-country differences revealed peculiar patterns specific to each analyte. Judged from the rp, BMI related changes were observed for many nutritional and inflammatory markers in almost all countries. However, the slope of linear regression of BMI vs. RV differed greatly among countries for some analytes. Alcohol and smoking-related changes were observed less conspicuously in a limited number of analytes. Conclusion: The features of sex, age, alcohol, and smoking-related changes in RVs of the analytes were largely comparable worldwide. The finding of differences in BMI-related changes among countries in some analytes is quite relevant to understanding ethnic differences in susceptibility to nutritionally related diseases.
URI: https://doi.org/10.1016/j.cca.2016.09.015
https://www.sciencedirect.com/science/article/pii/S0009898116303898
1873-3492
http://hdl.handle.net/11452/30018
ISSN: 0009-8981
Appears in Collections:Scopus
Web of Science

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