Indirect estimation of pediatric between-individual biological variation data for 22 common serum biochemistries
American Journal of Clinical Pathology, ISSN: 1943-7722, Vol: 143, Issue: 5, Page: 683-693
2015
- 25Citations
- 17Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations25
- Citation Indexes25
- CrossRef25
- 25
- Captures17
- Readers17
- 17
Article Description
Objectives: Derivation of between-individual biological variation (CV) data requires repeat sampling of the same subject, which is undesirable and challenging in children. We describe an indirect sampling (data mining) approach to obtain these data in children. Methods: Twenty-two serum biochemistry results from 6,989 children, who visited their primary care physician in Queensland, Australia, and were tested only twice within a year were included. The CV and index of individuality of the boys and girls were estimated by year of age, according to the procedures recommended by Fraser and Harris. Results: The CV was generally higher during the first year of life and declined to reach a constant level by age 4 to 6 years, except for aspartate aminotransferase, alanine aminotransferase, γ-glutamyltransferase, and phosphate. The CV for these tended to increase after age 10 years. Most of the serum biochemistries examined in this study had indices of individuality 0.6 or less, except sodium, anion gap, bicarbonate, and chloride, which ranged from 0.6 to 1.4. The indices of individuality were very stable across all ages. Conclusions: These data are comparable to those reported by the Canadian Laboratory Initiative on Pediatric Reference Intervals study and the Ricos database for adults. This study reports the CV trends and data for boys and girls by year of age, which have not been described previously.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84937120487&origin=inward; http://dx.doi.org/10.1309/ajcpb7q3ahyljtpk; http://www.ncbi.nlm.nih.gov/pubmed/25873502; https://academic.oup.com/ajcp/article-lookup/doi/10.1309/AJCPB7Q3AHYLJTPK; http://academic.oup.com/ajcp/article-pdf/143/5/683/4992958/ajcpath143-0683.pdf; https://academic.oup.com/ajcp/article/143/5/683/1761267; http://dx.doi.org/10.1309/AJCPB7Q3AHYLJTPK; https://dx.doi.org/10.1309/AJCPB7Q3AHYLJTPK
Oxford University Press (OUP)
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