Literature DB >> 25967371

Age- and sex-specific dynamics in 22 hematologic and biochemical analytes from birth to adolescence.

Jakob Zierk1, Farhad Arzideh2, Tobias Rechenauer1, Rainer Haeckel3, Wolfgang Rascher1, Markus Metzler1, Manfred Rauh4.   

Abstract

BACKGROUND: Pediatric laboratory test results must be interpreted in the context of interindividual variation and age- and sex-dependent dynamics. Reference intervals as presently defined for separate age groups can only approximate the age-related dynamics encountered in pediatrics. Continuous reference intervals from birth to adulthood are not available for most laboratory analytes because of the ethical and practical constraints of defining reference intervals using a population of healthy community children. We applied an indirect method to generate continuous reference intervals for 22 hematologic and biochemical analytes by analyzing clinical laboratory data from blood samples taken during clinical care of patients.
METHODS: We included samples from 32 000 different inpatients and outpatients (167 000 samples per analyte) from a German pediatric tertiary care center. Measurements were performed on a Sysmex-XE 2100 and a Cobas Integra 800 during clinical care over a 6-year period. The distribution of samples considered normal was estimated with an established indirect statistical approach and used for the calculation of reference intervals.
RESULTS: We provide continuous reference intervals from birth to adulthood for 9 hematology analytes (hemoglobin, hematocrit, red cell indices, red cell count, red cell distribution width, white cell count, and platelet count) and 13 biochemical analytes (sodium, chloride, potassium, calcium, magnesium, phosphate, creatinine, aspartate transaminase, alanine transaminase, γ-glutamyltransferase, alkaline phosphatase, lactate dehydrogenase, and total protein).
CONCLUSIONS: Continuous reference intervals capture the population changes in laboratory analytes during pediatric development more accurately than age groups. After local validation, the reference intervals provided should allow a more precise consideration of these dynamics in clinical decision making.
© 2015 American Association for Clinical Chemistry.

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Year:  2015        PMID: 25967371     DOI: 10.1373/clinchem.2015.239731

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  29 in total

1.  Establishment of complete blood count reference intervals for Chinese preschoolers.

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Journal:  J Clin Lab Anal       Date:  2016-11-15       Impact factor: 2.352

2.  Association between leg bowing and serum alkaline phosphatase level regardless of the presence of a radiographic growth plate abnormality in pediatric patients with genu varum.

Authors:  Yuko Sakamoto; Muneaki Ishijima; Mayuko Kinoshita; Lizu Liu; Mitsuyoshi Suzuki; Sung-Gon Kim; Koichi Kamata; Akifumi Tokita; Haruka Kaneko; Toshiaki Shimizu; Kazuo Kaneko; Masahiko Nozawa
Journal:  J Bone Miner Metab       Date:  2017-06-29       Impact factor: 2.626

3.  Estrogen promotes megakaryocyte polyploidization via estrogen receptor beta-mediated transcription of GATA1.

Authors:  C Du; Y Xu; K Yang; S Chen; X Wang; S Wang; C Wang; M Shen; F Chen; M Chen; D Zeng; F Li; T Wang; F Wang; J Zhao; G Ai; T Cheng; Y Su; J Wang
Journal:  Leukemia       Date:  2016-10-17       Impact factor: 11.528

4.  CALIPER Hematology Reference Standards (II).

Authors:  Victoria Higgins; Houman Tahmasebi; Mary Kathryn Bohn; Alexandra Hall; Khosrow Adeli
Journal:  Am J Clin Pathol       Date:  2020-08-05       Impact factor: 2.493

5.  FGF23 Is Not Associated With Age-Related Changes in Phosphate, but Enhances Renal Calcium Reabsorption in Girls.

Authors:  Deborah M Mitchell; Harald Jüppner; Sherri-Ann M Burnett-Bowie
Journal:  J Clin Endocrinol Metab       Date:  2017-04-01       Impact factor: 5.958

6.  Extra-Large Gα Protein (XLαs) Deficiency Causes Severe Adenine-Induced Renal Injury with Massive FGF23 Elevation.

Authors:  Julia Matthias; Qiuxia Cui; Lauren T Shumate; Antonius Plagge; Qing He; Murat Bastepe
Journal:  Endocrinology       Date:  2020-01-01       Impact factor: 4.736

7.  Reference intervals for hemoglobin and mean corpuscular volume in an ethnically diverse community sample of Canadian children 2 to 36 months.

Authors:  Jemila S Hamid; Eshetu G Atenafu; Cornelia M Borkhoff; Catherine S Birken; Jonathon L Maguire; Mary Kathryn Bohn; Khosrow Adeli; Mohamed Abdelhaleem; Patricia C Parkin
Journal:  BMC Pediatr       Date:  2021-05-19       Impact factor: 2.125

Review 8.  Thrombocytosis in children and adolescents-classification, diagnostic approach, and clinical management.

Authors:  Clemens Stockklausner; C M Duffert; H Cario; R Knöfler; W Streif; A E Kulozik
Journal:  Ann Hematol       Date:  2021-03-12       Impact factor: 3.673

9.  Reference Curves for Pediatric Endocrinology: Leveraging Biomarker Z-Scores for Clinical Classifications.

Authors:  Andre Madsen; Bjørg Almås; Ingvild S Bruserud; Ninnie Helen Bakken Oehme; Christopher Sivert Nielsen; Mathieu Roelants; Thomas Hundhausen; Marie Lindhardt Ljubicic; Robert Bjerknes; Gunnar Mellgren; Jørn V Sagen; Pétur B Juliusson; Kristin Viste
Journal:  J Clin Endocrinol Metab       Date:  2022-06-16       Impact factor: 6.134

10.  Reference Intervals of Hematology and Clinical Chemistry Analytes for 1-Year-Old Korean Children.

Authors:  Hye Ryun Lee; Sue Shin; Jong Hyun Yoon; Eun Youn Roh; Ju Young Chang
Journal:  Ann Lab Med       Date:  2016-09       Impact factor: 3.464

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