Sources of Variation of Commonly Measured Serum Analytes in 6 Asian Cities and Consideration of Common Reference Intervals

In a previous study to determine the feasibility of common reference intervals in Asia, we found significant differences among populations from 6 cities. In this study, we attempted to define the sources of these differences. We enrolled 580 healthy volunteers (279 men, 301 women, 20-62 years old),...

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Veröffentlicht in:Clinical chemistry (Baltimore, Md.) Md.), 2008-02, Vol.54 (2), p.356-365
Hauptverfasser: Ichihara, Kiyoshi, Itoh, Yoshihisa, Lam, Christopher W. K, Poon, Priscilla M. K, Kim, Jeong-Ho, Kyono, Hiroshi, Chandrawening, Naning, Muliaty, Dewi, Science Committee Asian-Pacific Federation of Clinical Biochemistry
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container_end_page 365
container_issue 2
container_start_page 356
container_title Clinical chemistry (Baltimore, Md.)
container_volume 54
creator Ichihara, Kiyoshi
Itoh, Yoshihisa
Lam, Christopher W. K
Poon, Priscilla M. K
Kim, Jeong-Ho
Kyono, Hiroshi
Chandrawening, Naning
Muliaty, Dewi
Science Committee Asian-Pacific Federation of Clinical Biochemistry
description In a previous study to determine the feasibility of common reference intervals in Asia, we found significant differences among populations from 6 cities. In this study, we attempted to define the sources of these differences. We enrolled 580 healthy volunteers (279 men, 301 women, 20-62 years old), after a selection process that was based on the Clinical and Laboratory Standards Institute guidelines, and used a lifestyle questionnaire. All sera were obtained at a basal state and frozen at -80 degrees C until the collective assay was done. We measured 21 basic chemical analytes and 10 serum proteins. We used 3-level nested ANOVA to separate the variation (SD) into between-city (SD-city), between-sex (SD-sex), between-age (SD-age), and between-individual (SD-indiv) components. SD-indiv corresponds to one-quarter of the "pure" reference interval obtained after removing variations due to city, sex, and age. The SD-sex to SD-indiv ratio was >0.8 for creatinine, urate, retinol-binding protein, and transthyretin. We observed high SD-city to SD-indiv ratios, ranging from 0.4 to 0.7, for 11 analytes including lactate dehydrogenase (LDH), electrolytes, IgG, and complement components and SD-age to SD-indiv ratios >0.4 for LDH, alkaline phosphatase, and total cholesterol. Multiple regression analysis demonstrated several other relevant sources of variation, including body mass index, alcohol consumption, and cigarette smoking, although their contributions were generally smaller than those for sex, region, or age. We observed unacceptably large regional differences in measured values of some analytes even after adjustment for age, sex, and lifestyle variables. Genetic and environmental factors may account for the residual differences.
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We observed high SD-city to SD-indiv ratios, ranging from 0.4 to 0.7, for 11 analytes including lactate dehydrogenase (LDH), electrolytes, IgG, and complement components and SD-age to SD-indiv ratios &gt;0.4 for LDH, alkaline phosphatase, and total cholesterol. Multiple regression analysis demonstrated several other relevant sources of variation, including body mass index, alcohol consumption, and cigarette smoking, although their contributions were generally smaller than those for sex, region, or age. We observed unacceptably large regional differences in measured values of some analytes even after adjustment for age, sex, and lifestyle variables. Genetic and environmental factors may account for the residual differences.</abstract><cop>Washington, DC</cop><pub>Am Assoc Clin Chem</pub><pmid>18089659</pmid><doi>10.1373/clinchem.2007.091843</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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source Oxford University Press Journals All Titles (1996-Current); MEDLINE
subjects Adult
Age Factors
Analysis of Variance
Analytical chemistry
Analytical, structural and metabolic biochemistry
Asia
Biological and medical sciences
Cigarettes
Clinical Chemistry Tests - standards
Environmental factors
Female
Fundamental and applied biological sciences. Psychology
Humans
Investigative techniques, diagnostic techniques (general aspects)
Laboratories
Life Style
Male
Medical sciences
Methods
Middle Aged
Proteins
Reference Values
Regression Analysis
Sample size
Sex Factors
Smoking
Studies
Urban Population
Variance analysis
title Sources of Variation of Commonly Measured Serum Analytes in 6 Asian Cities and Consideration of Common Reference Intervals
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