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Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data

BACKGROUND: Indirect sampling methods are not only inexpensive but also efficient for establishing reference intervals (RIs) using clinical data. This study was conducted to select fully normal records to establish ageand gender-specific RIs for common biochemical analytes by laboratory data mining....

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Autores principales: Wang, Danchen, Ma, Chaochao, Zou, Yutong, Yu, Songlin, Li, Honglei, Cheng, Xinqi, Qiu, Ling, Xu, Tengda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Medical Biochemists of Serbia, Belgrade 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956001/
https://www.ncbi.nlm.nih.gov/pubmed/33746609
http://dx.doi.org/10.2478/jomb-2019-0046
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author Wang, Danchen
Ma, Chaochao
Zou, Yutong
Yu, Songlin
Li, Honglei
Cheng, Xinqi
Qiu, Ling
Xu, Tengda
author_facet Wang, Danchen
Ma, Chaochao
Zou, Yutong
Yu, Songlin
Li, Honglei
Cheng, Xinqi
Qiu, Ling
Xu, Tengda
author_sort Wang, Danchen
collection PubMed
description BACKGROUND: Indirect sampling methods are not only inexpensive but also efficient for establishing reference intervals (RIs) using clinical data. This study was conducted to select fully normal records to establish ageand gender-specific RIs for common biochemical analytes by laboratory data mining. METHODS: In total, 280,206 records from 2014 to 2018 were obtained from Peking Union Medical College Hospital. Common biochemical analytes total protein, albumin, total bilirubin (TBil), direct bilirubin (DBil), alanine aminotransferase (ALT), glutamyltranspeptidase (GGT), alkaline phosphatase (ALP), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), potassium, sodium, chlorine, calcium, urea, glucose, uric acid (UA), inorganic phosphorus, creatinine (Cr), total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol] were measured using an automatic analyzer. Sources of variation were identified by multiple regression analysis. The 2.5th and 97.5th percentiles were calculated as the lower and upper limits of the RIs, respectively RESULTS: Gender was the major source of variation among the 13 common biochemical analytes with an rp > 0.15. In contrast to the value listed in the WS/T 404, nearly all RIs established in this study were significantly narrower. Furthermore, age-specific RIs should be determined for DBil, LDH, and urea, whereas gender-specific RIs are suggested for GGT, LDH, and urea. CONCLUSIONS: We recommend that gender-specific RIs should be established for ALT, AST, GGT, DBil, TBil, UA, and Cr as well as genderand age-specific RIs for urea and ALP. Through indirect sampling, ageand gender-specific RIs for common biochemical analytes were established and analyzed.
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spelling pubmed-79560012021-03-19 Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data Wang, Danchen Ma, Chaochao Zou, Yutong Yu, Songlin Li, Honglei Cheng, Xinqi Qiu, Ling Xu, Tengda J Med Biochem Original Paper BACKGROUND: Indirect sampling methods are not only inexpensive but also efficient for establishing reference intervals (RIs) using clinical data. This study was conducted to select fully normal records to establish ageand gender-specific RIs for common biochemical analytes by laboratory data mining. METHODS: In total, 280,206 records from 2014 to 2018 were obtained from Peking Union Medical College Hospital. Common biochemical analytes total protein, albumin, total bilirubin (TBil), direct bilirubin (DBil), alanine aminotransferase (ALT), glutamyltranspeptidase (GGT), alkaline phosphatase (ALP), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), potassium, sodium, chlorine, calcium, urea, glucose, uric acid (UA), inorganic phosphorus, creatinine (Cr), total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol] were measured using an automatic analyzer. Sources of variation were identified by multiple regression analysis. The 2.5th and 97.5th percentiles were calculated as the lower and upper limits of the RIs, respectively RESULTS: Gender was the major source of variation among the 13 common biochemical analytes with an rp > 0.15. In contrast to the value listed in the WS/T 404, nearly all RIs established in this study were significantly narrower. Furthermore, age-specific RIs should be determined for DBil, LDH, and urea, whereas gender-specific RIs are suggested for GGT, LDH, and urea. CONCLUSIONS: We recommend that gender-specific RIs should be established for ALT, AST, GGT, DBil, TBil, UA, and Cr as well as genderand age-specific RIs for urea and ALP. Through indirect sampling, ageand gender-specific RIs for common biochemical analytes were established and analyzed. Society of Medical Biochemists of Serbia, Belgrade 2020-09-02 2020-09-02 /pmc/articles/PMC7956001/ /pubmed/33746609 http://dx.doi.org/10.2478/jomb-2019-0046 Text en 2020 Danchen Wang, Chaochao Ma, Yutong Zou, Songlin Yu, Honglei Li, Xinqi Cheng, Ling Qiu, Tengda Xu, published by CEON/CEES http://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License.
spellingShingle Original Paper
Wang, Danchen
Ma, Chaochao
Zou, Yutong
Yu, Songlin
Li, Honglei
Cheng, Xinqi
Qiu, Ling
Xu, Tengda
Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data
title Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data
title_full Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data
title_fullStr Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data
title_full_unstemmed Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data
title_short Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data
title_sort gender and age-specific reference intervals of common biochemical analytes in chinese population: derivation using real laboratory data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956001/
https://www.ncbi.nlm.nih.gov/pubmed/33746609
http://dx.doi.org/10.2478/jomb-2019-0046
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