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An indirect approach for reference intervals establishment of immunoglobulin A, G and M: the combination of laboratory database and statistics
Scandinavian Journal of Clinical and Laboratory Investigation ( IF 1.3 ) Pub Date : 2022-07-05 , DOI: 10.1080/00365513.2022.2092897
Jiatong Chai 1 , Zeyu Sun 1 , Shunli Zhang 2 , Qi Zhou 3 , Jiancheng Xu 1
Affiliation  

Abstract

Immunoglobulins are affected by sex, age and region, so it is necessary to establish suitable reference intervals (RIs) for clinical diagnosis. Various statistical methods were used to calculate RIs, but there has been a lack of comparison among the methods. Research based on immunoglobulin RIs establishment with various methods would provide a methodological basis for further research. A total of 16,525 individuals were enrolled in the study. Individuals were selected in the medical examination center of First Hospital of Jilin University from 2014 to 2020. The lambda-mu-sigma (LMS) method was performed to evaluate the dynamic changes in analytes. RIs were calculated by parametric, non-parametric, Hoffman method and Bhattacharya method. Sex and age partitions were found for immunoglobulins G and immunoglobulin M. The levels of IgM showed no difference with age in males, but showed differences after 50 years of age in females. Circulating immunoglobulin A concentrations showed an increasing trend with age, and immunoglobulin M showed a fluctuating trend with age. Obvious difference (>5%) was commonly found among the four methods, however, the RIs established by the four methods all passed the verification with a high passing rate. Sex and age differences should be considered for immunoglobulins G and immunoglobulin M in clinical practice. The feasibility of the four indirect methods was proven, which would provides a methodological reference for further studies and benefit the application of clinical data.



中文翻译:

一种间接建立免疫球蛋白A、G和M参考区间的方法:实验室数据库和统计学的结合

摘要

免疫球蛋白受性别、年龄和地区的影响,因此需要建立合适的临床诊断参考区间(RIs)。使用各种统计方法计算 RI,但这些方法之间缺乏比较。基于多种方法建立免疫球蛋白RI的研究将为进一步研究提供方法学基础。共有 16,525 人参加了这项研究。2014年至2020年在吉林大学第一医院体检中心选取个体,采用λ-mu-sigma(LMS)法评价分析物的动态变化。通过参数、非参数、Hoffman 方法和 Bhattacharya 方法计算 RI。发现了免疫球蛋白 G 和免疫球蛋白 M 的性别和年龄分区。男性 IgM 水平与年龄无差异,但女性 50 岁后出现差异。循环免疫球蛋白A浓度随年龄增长呈上升趋势,免疫球蛋白M随年龄呈波动趋势。四种方法普遍存在明显差异(>5%),但四种方法建立的RI均通过验证,通过率较高。在临床实践中,免疫球蛋白 G 和免疫球蛋白 M 应考虑性别和年龄差异。证明了四种间接方法的可行性,为进一步研究提供方法学参考,有利于临床数据的应用。循环免疫球蛋白A浓度随年龄增长呈上升趋势,免疫球蛋白M随年龄呈波动趋势。四种方法普遍存在明显差异(>5%),但四种方法建立的RI均通过验证,通过率较高。在临床实践中,免疫球蛋白 G 和免疫球蛋白 M 应考虑性别和年龄差异。证明了四种间接方法的可行性,为进一步研究提供方法学参考,有利于临床数据的应用。循环免疫球蛋白A浓度随年龄增长呈上升趋势,免疫球蛋白M随年龄呈波动趋势。四种方法普遍存在明显差异(>5%),但四种方法建立的RI均通过验证,通过率较高。在临床实践中,免疫球蛋白 G 和免疫球蛋白 M 应考虑性别和年龄差异。证明了四种间接方法的可行性,为进一步研究提供方法学参考,有利于临床数据的应用。在临床实践中,免疫球蛋白 G 和免疫球蛋白 M 应考虑性别和年龄差异。证明了四种间接方法的可行性,为进一步研究提供方法学参考,有利于临床数据的应用。在临床实践中,免疫球蛋白 G 和免疫球蛋白 M 应考虑性别和年龄差异。证明了四种间接方法的可行性,为进一步研究提供方法学参考,有利于临床数据的应用。

更新日期:2022-07-05
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