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 age- and gender-specific RIs for common biochemical analytes by laboratory data minin...

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Main Authors: Wang Danchen, Ma Chaochao, Zou Yutong, Yu Songlin, Li Honglei, Cheng Xinqi, Qiu Ling, Xu Tengda
Format: Article
Language:English
Published: Society of Medical Biochemists of Serbia, Belgrade 2020-01-01
Series:Journal of Medical Biochemistry
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2020/1452-82582003384W.pdf
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spelling doaj-b3201e18b7f64049af5ccd4ceca8e7d02020-11-25T03:20:40ZengSociety of Medical Biochemists of Serbia, BelgradeJournal of Medical Biochemistry1452-82581452-82662020-01-013933843911452-82582003384WGender- and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory dataWang Danchen0Ma Chaochao1Zou Yutong2Yu Songlin3Li Honglei4Cheng Xinqi5Qiu Ling6Xu Tengda7Peking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaPeking Union Medical College & Chinese Academy of Medical Science, Peking Union Medical College Hospital, Department of Clinical Laboratory, Beijing, ChinaChinese Academy of Medical Sciences, Peking Union Medical College Hospital, Department of Health Care, Dongcheng District, Beijing, ChinaBackground: 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 age- and 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 gender- and age-specific RIs for urea and ALP. Through indirect sampling, age- and gender-specific RIs for common biochemical analytes were established and analyzed.https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2020/1452-82582003384W.pdfreference intervallarge data setchinese populationindirect sampling method
collection DOAJ
language English
format Article
sources DOAJ
author Wang Danchen
Ma Chaochao
Zou Yutong
Yu Songlin
Li Honglei
Cheng Xinqi
Qiu Ling
Xu Tengda
spellingShingle 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
Journal of Medical Biochemistry
reference interval
large data set
chinese population
indirect sampling method
author_facet Wang Danchen
Ma Chaochao
Zou Yutong
Yu Songlin
Li Honglei
Cheng Xinqi
Qiu Ling
Xu Tengda
author_sort Wang Danchen
title 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_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_sort gender- and age-specific reference intervals of common biochemical analytes in chinese population: derivation using real laboratory data
publisher Society of Medical Biochemists of Serbia, Belgrade
series Journal of Medical Biochemistry
issn 1452-8258
1452-8266
publishDate 2020-01-01
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 age- and 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 gender- and age-specific RIs for urea and ALP. Through indirect sampling, age- and gender-specific RIs for common biochemical analytes were established and analyzed.
topic reference interval
large data set
chinese population
indirect sampling method
url https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2020/1452-82582003384W.pdf
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