Literature DB >> 15223700

Descriptive analytical data and consequences for calculation of common reference intervals in the Nordic Reference Interval Project 2000.

P Rustad1, P Felding, A Lahti, P Hyltoft Petersen.   

Abstract

In the Nordic Reference Interval Project (NORIP), data from 102 Nordic clinical chemical laboratories were obtained. Each laboratory reported analytical data on up to 25 of the most commonly used clinical biochemical properties, including results from each of a minimum of 25 reference individuals. A reference material consisting of a liquid frozen pool of serum with values traceable to reference methods (used as the project "calibrator" for non-enzymes to correct reference values) was measured together with other serum pool controls in each laboratory in the same analytical series as the project samples. The data on the controls were used to evaluate the analytical quality of the routine methods. For reference interval calculations, only such reference values on enzymes were accepted that were obtained by applying the International Federation of Clinical Chemistry (IFCC) compatible methods (37 degrees C), while "calibrator"-corrected reference values were used in the cases of non-enzymes. For each property, gender- and age-specific reference intervals were estimated, based on simple non-parametric calculations and using objective criteria to perform partitioning into subgroups. It is concluded that the same reference intervals are applicable in all five Nordic countries. The following descriptive data for the considered properties are presented in the tables: number of measurement values from each country and measurement system, certified/indicative target values for controls, differences between methods and measurement systems together with coefficients of variation, effects of control correction on the measurement values, differences between subgroups as determined by age, gender, country and material, and comparison of the new reference intervals with those presented in standard textbooks. The 25 components involved in this project were (listed in alphabetical order): Alanine transaminase, albumin, alkaline phosphatase, amylase, amylase pancreatic type, aspartate transaminase, bilirubin, calcium, carbamide, cholesterol, creatine kinase, creatininium, gamma-glutamyltransferase, glucose, HDL-cholesterol, iron, iron-binding capacity, lactate dehydrogenase, magnesium, phosphate, potassium, protein, sodium, triglyceride and urate.

Entities:  

Mesh:

Year:  2004        PMID: 15223700     DOI: 10.1080/00365510410006306

Source DB:  PubMed          Journal:  Scand J Clin Lab Invest        ISSN: 0036-5513            Impact factor:   1.713


  12 in total

1.  Prerequisites for use of common reference intervals.

Authors:  Ferruccio Ceriotti
Journal:  Clin Biochem Rev       Date:  2007-08

2.  Whether western normative laboratory values used for clinical diagnosis are applicable to Indian population? An overview on reference interval.

Authors:  T Malati
Journal:  Indian J Clin Biochem       Date:  2009-07-09

3.  Serum nutrients and habitual dietary intake in colectomized FAP patients in Norway.

Authors:  Kari Almendingen; Olau Fausa; Arne Tore Høstmark; Jorunn Bratlie; Lars Mørkerid; Lars Aabakken; Morten Harald Vatn
Journal:  Eur J Nutr       Date:  2009-01-13       Impact factor: 5.614

4.  An unsupervised learning method to identify reference intervals from a clinical database.

Authors:  Sarah Poole; Lee Frederick Schroeder; Nigam Shah
Journal:  J Biomed Inform       Date:  2015-12-19       Impact factor: 6.317

5.  Reference values of thirty-one frequently used laboratory markers for 75-year-old males and females.

Authors:  Ingvar Ryden; Lars Lind; Anders Larsson
Journal:  Ups J Med Sci       Date:  2012-02-03       Impact factor: 2.384

6.  Human epididymis protein 4 reference limits and natural variation in a Nordic reference population.

Authors:  Nils Bolstad; Miriam Øijordsbakken; Kjell Nustad; Johan Bjerner
Journal:  Tumour Biol       Date:  2011-11-22

7.  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

8.  Serum bilirubin concentration in healthy adult North-Europeans is strictly controlled by the UGT1A1 TA-repeat variants.

Authors:  Marianne K Kringen; Armin P Piehler; Runa M Grimholt; Mimi S Opdal; Kari Bente F Haug; Petter Urdal
Journal:  PLoS One       Date:  2014-02-28       Impact factor: 3.240

9.  Harmonization Initiatives in Europe.

Authors:  Ferruccio Ceriotti
Journal:  EJIFCC       Date:  2016-02-09

10.  Pediatric Reference Intervals for Biochemical Markers: Gaps and Challenges, Recent National Initiatives and Future Perspectives.

Authors:  Houman Tahmasebi; Victoria Higgins; Angela W S Fung; Dorothy Truong; Nicole M A White-Al Habeeb; Khosrow Adeli
Journal:  EJIFCC       Date:  2017-03-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.