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

机译:亚洲6个城市常用血清分析物变化的来源以及常见参考区间的考虑

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Background: 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.Methods: 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 °C until the collective assay was done. We measured 21 basic chemical analytes and 10 serum proteins.Results: 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.Conclusion: 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.
机译:背景:在一项先前的研究中,为了确定亚洲通用参考区间的可行性,我们发现6个城市的人口之间存在显着差异。在这项研究中,我们试图确定这些差异的来源。方法:在根据临床和实验室标准协会指南进行选择后,我们招募了580名健康志愿者(279名男性,301名女性,20-62岁) ,并使用了生活方式问卷。所有血清均以基础状态获得,并在约80°C冷冻直至完成集体测定。我们测量了21种基本化学分析物和10种血清蛋白。结果:我们使用3级嵌套ANOVA将变异(SD)分为城市间(SD-city),性别间(SD-sex),年龄间( SD年龄)以及个体之间(SD个体)组件。 SD-indiv对应于消除因城市,性别和年龄引起的变化之后获得的“纯”参考间隔的四分之一。肌酐,尿酸盐,视黄醇结合蛋白和运甲状腺素蛋白的SD-性别与SD-个体比例之比> 0.8。我们观察到11种分析物(包括乳酸脱氢酶(LDH),电解质,IgG和补体成分)的SD-SD与SD-Indiv的比率高,介于0.4至0.7之间,而LDH,碱性的SD-SD与SD-Indiv的比率> 0.4磷酸酶和总胆固醇。多元回归分析显示了其他几个相关的变异源,包括体重指数,酒精消耗和吸烟,尽管它们的贡献通常小于性别,区域或年龄的结论。结论:我们观察到测量值的区域差异令人无法接受地大甚至在调整了年龄,性别和生活方式变量后,仍可以分析某些分析物。遗传和环境因素可能是造成残留差异的原因。

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