Biological variability. Concepts and literature recommended to education
Authors:
B. Friedecký
Authors place of work:
Ústav klinické biochemie a diagnostiky, Fakultní nemocnice, Hradec Králové
Published in the journal:
Klin. Biochem. Metab., 30, 2022, No. 3, p. 89-91
Summary
The publication deals with a brief summarizing the results of a working group of EFLM for biological variation studies (Eu- BIVAS). There are described namely calculations of within- and between subject biological variation and their applications for calculation of analytical quality criteria (APS values) and for calculation of significance of reference changes values as potency for monitoring of the patient´s state. We described EFLM biological variation database. We also show the necessity of biological variation for personalized medicine and individualized approach to laboratory results (individual reference intervals, machine learning).
Keywords:
RCV – biological variation – APS – EuBIVAS – EFLM data base
Zdroje
1. Aarsland, A. K., Roraas, T., Fernandez-Calle, P. et al. The Biological Variation Data Critical Appraisal Checklist: A Standard for Evaluation Studies on Biological Variation. Clin. Chem., 2018, 64(3), 501-514./
2. Ricos, C., Alvarez, V., Cava, F. et al. Current databases on biological variation: pros, cons and progress. Scand. J Clin. Lab. Invest., 1999, 59, 491-500.
3. Fraser, C. G. Reference change values. Clin. Chem. Lab. Med., 2012, 50(5), 807-812.ww. westgard. com
4. Badrick, T. Biological Variation:Undestanding why it is so important? Pract. Lab. Med., 2021, 23, e00199.
5. Weykamp, C., Secchiero, S., Plebani, M. et al. Analytical performance of 17 general chemistry analytes across countries and across manufacturers in the INPUtS project. Clin. Chem. Lab. Med., 2017, 55(2), 203-211.
6. Emre, H. O., Karpuzoglu, F. H., Coskun, A. et al. Utilization of biological variation data in the intarpretation of laboratory test results-survey about clinician opinion and knowledge. Biochem. Med. (Zagreb), 2021, 31, 010705.
7. Aarsland, A. K., Diaz-Garzon, J., Fernandez-Calle, P. et al. The EuBIVAS within and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin and glucose. Clin. Chem., 2018, 64(9), 1380-1393.
8. Carobene, A., Marino, I., Coscun, A. et al. The EuBIVAS project:within and between-subject biological variation data for serum creatinine using enzymatic and alkaline-picrate methods and implications for monitoring. Clin. Chem., 2017, 63(9), 1527-1536.
9. Carobene, A., Roraas, T., Solvik, U. et al. Biological variation estimates obtained 9 enzymes from 91 healthy study participants for in serum. Clin. Cherm., 2017, 63(6), 1141-1150.
10. Bottani, M., Banfi, G., Guerra, E. et al. European Biological Variation Study (EuBIVAS):within and betweensubject biological variation estimates for serum biointact parathyroid homone based on weekly samplings from 91 healthy participants. An. Transl. Med., 2020, 8(14), 855.
11. Bottani, M., Aarsland, A. K., Banfi, G. et al. European Biological Variation Study (EuBIVAS) within-and betweensubject biological variation estimates for serum thyroid biomarkers based on weekly sampling from 91 healthy participants. Clin. Chem. Lab. Med., 2021, 60(4), 523- 532.
12. Cavalier, E., Lukas, P., Bottani, M. et al. European Biological Variation Study (EuBIVAS) within-and betweensubject biological estimates of β-CTX, PINP, osteocalcin, intact FGF 23 and uncarboxyled-unphosphoryled matrix GLA-protein: A cooperation between the EFLM Working Group on Biological Variation and the International Osteoporosis Foundation-International Federation of Clinical Chemistry Committee on Bone Metabolism. Osteoporosis Int., 2020, 31(8), 1461-1470.
13. Aarsland, A. K., Kristoffersen, A. M., Sandberg, S. et al. The European Biological Variation Study (EuBIVAS):Biological Variation Data for Coagulation Markers Estimated by a Bayesian Model. Clin. Chem., 2021, 67(9), 1259-1270.
14. Carobene, A., Aarsland, A. K., Barlett, W. A. et al. European Biological Variation Study (EuBIVAS): a summary report. Clin. Chem. Lab. Med., 2021, 60(4), 505-517.
15. Coskun, S., Sandberg Unsal, I., et al. Personalized reference intervals-statistical approaches and considerations. Clin. Chem. Lab. Med., 2022, 60(4), 629-635.
16. Carobene, A., Compagner, A., Uccheddu, C. et al. The Multicenter European Biological Variation Study EuBIVAS): a new glace provided by the Principial Component Analysis (PCA), a machine learning unsupervised algithms, based on the metabolic panel linked measurands. Clin. Chem. Lab. Med., 2021, 60(4), 556-568.
17. Aarsland, A. K., Fernandéz-Call, P., Webster, C. et al. EFLM Biological Variation Data Base. https:// biologicalvariation.eu/
Štítky
Clinical biochemistry Nuclear medicine Nutritive therapistČlánok vyšiel v časopise
Clinical Biochemistry and Metabolism
2022 Číslo 3
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