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Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China
A nationwide multicenter study was conducted in the China to explore sources of variation of reference values and establish reference intervals for 28 common biochemical analytes, as a part of the International Federation of Clinical Chemistry and Laboratory Medicine, Committee on Reference Interval...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782874/ https://www.ncbi.nlm.nih.gov/pubmed/26945390 http://dx.doi.org/10.1097/MD.0000000000002915 |
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author | Xia, Liangyu Chen, Ming Liu, Min Tao, Zhihua Li, Shijun Wang, Liang Cheng, Xinqi Qin, Xuzhen Han, Jianhua Li, Pengchang Hou, Li’an Yu, Songlin Ichihara, Kiyoshi Qiu, Ling |
author_facet | Xia, Liangyu Chen, Ming Liu, Min Tao, Zhihua Li, Shijun Wang, Liang Cheng, Xinqi Qin, Xuzhen Han, Jianhua Li, Pengchang Hou, Li’an Yu, Songlin Ichihara, Kiyoshi Qiu, Ling |
author_sort | Xia, Liangyu |
collection | PubMed |
description | A nationwide multicenter study was conducted in the China to explore sources of variation of reference values and establish reference intervals for 28 common biochemical analytes, as a part of the International Federation of Clinical Chemistry and Laboratory Medicine, Committee on Reference Intervals and Decision Limits (IFCC/C-RIDL) global study on reference values. A total of 3148 apparently healthy volunteers were recruited in 6 cities covering a wide area in China. Blood samples were tested in 2 central laboratories using Beckman Coulter AU5800 chemistry analyzers. Certified reference materials and value-assigned serum panel were used for standardization of test results. Multiple regression analysis was performed to explore sources of variation. Need for partition of reference intervals was evaluated based on 3-level nested ANOVA. After secondary exclusion using the latent abnormal values exclusion method, reference intervals were derived by a parametric method using the modified Box–Cox formula. Test results of 20 analytes were made traceable to reference measurement procedures. By the ANOVA, significant sex-related and age-related differences were observed in 12 and 12 analytes, respectively. A small regional difference was observed in the results for albumin, glucose, and sodium. Multiple regression analysis revealed BMI-related changes in results of 9 analytes for man and 6 for woman. Reference intervals of 28 analytes were computed with 17 analytes partitioned by sex and/or age. In conclusion, reference intervals of 28 common chemistry analytes applicable to Chinese Han population were established by use of the latest methodology. Reference intervals of 20 analytes traceable to reference measurement procedures can be used as common reference intervals, whereas others can be used as the assay system-specific reference intervals in China. |
format | Online Article Text |
id | pubmed-4782874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-47828742016-03-24 Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China Xia, Liangyu Chen, Ming Liu, Min Tao, Zhihua Li, Shijun Wang, Liang Cheng, Xinqi Qin, Xuzhen Han, Jianhua Li, Pengchang Hou, Li’an Yu, Songlin Ichihara, Kiyoshi Qiu, Ling Medicine (Baltimore) 4100 A nationwide multicenter study was conducted in the China to explore sources of variation of reference values and establish reference intervals for 28 common biochemical analytes, as a part of the International Federation of Clinical Chemistry and Laboratory Medicine, Committee on Reference Intervals and Decision Limits (IFCC/C-RIDL) global study on reference values. A total of 3148 apparently healthy volunteers were recruited in 6 cities covering a wide area in China. Blood samples were tested in 2 central laboratories using Beckman Coulter AU5800 chemistry analyzers. Certified reference materials and value-assigned serum panel were used for standardization of test results. Multiple regression analysis was performed to explore sources of variation. Need for partition of reference intervals was evaluated based on 3-level nested ANOVA. After secondary exclusion using the latent abnormal values exclusion method, reference intervals were derived by a parametric method using the modified Box–Cox formula. Test results of 20 analytes were made traceable to reference measurement procedures. By the ANOVA, significant sex-related and age-related differences were observed in 12 and 12 analytes, respectively. A small regional difference was observed in the results for albumin, glucose, and sodium. Multiple regression analysis revealed BMI-related changes in results of 9 analytes for man and 6 for woman. Reference intervals of 28 analytes were computed with 17 analytes partitioned by sex and/or age. In conclusion, reference intervals of 28 common chemistry analytes applicable to Chinese Han population were established by use of the latest methodology. Reference intervals of 20 analytes traceable to reference measurement procedures can be used as common reference intervals, whereas others can be used as the assay system-specific reference intervals in China. Wolters Kluwer Health 2016-03-07 /pmc/articles/PMC4782874/ /pubmed/26945390 http://dx.doi.org/10.1097/MD.0000000000002915 Text en Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0 |
spellingShingle | 4100 Xia, Liangyu Chen, Ming Liu, Min Tao, Zhihua Li, Shijun Wang, Liang Cheng, Xinqi Qin, Xuzhen Han, Jianhua Li, Pengchang Hou, Li’an Yu, Songlin Ichihara, Kiyoshi Qiu, Ling Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China |
title | Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China |
title_full | Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China |
title_fullStr | Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China |
title_full_unstemmed | Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China |
title_short | Nationwide Multicenter Reference Interval Study for 28 Common Biochemical Analytes in China |
title_sort | nationwide multicenter reference interval study for 28 common biochemical analytes in china |
topic | 4100 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782874/ https://www.ncbi.nlm.nih.gov/pubmed/26945390 http://dx.doi.org/10.1097/MD.0000000000002915 |
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