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...
Main Authors: | , , , , , , , |
---|---|
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 |
id |
doaj-b3201e18b7f64049af5ccd4ceca8e7d0 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT wangdanchen genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT machaochao genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT zouyutong genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT yusonglin genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT lihonglei genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT chengxinqi genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT qiuling genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata AT xutengda genderandagespecificreferenceintervalsofcommonbiochemicalanalytesinchinesepopulationderivationusingreallaboratorydata |
_version_ |
1724617395043041280 |