Establishing reference intervals for major biochemical analytes for the Russian population: a research conducted as a part of the IFCC global study on reference values.
BMI-related change
Bias ratio
Latent abnormal values exclusion method
Multiple regression analysis
Nested ANOVA
Standardization
Journal
Clinical biochemistry
ISSN: 1873-2933
Titre abrégé: Clin Biochem
Pays: United States
ID NLM: 0133660
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
20
12
2019
revised:
03
04
2020
accepted:
05
04
2020
pubmed:
13
4
2020
medline:
14
1
2021
entrez:
13
4
2020
Statut:
ppublish
Résumé
Because reference intervals (RIs) for biochemistry analytes matched to the Russian population are not well defined, we joined the global study on reference values (RVs) coordinated by the IFCC Committee on Reference Intervals and Decision Limits (C-RIDL). According to the C-RIDL harmonized protocol, 793 healthy volunteers were recruited in Saint-Petersburg, Moscow, and Yekaterinburg. Serum samples were tested for 34 biochemistry analytes. Sources of variation of RVs were explored using multiple regression analysis. The need for partitioning RVs by sex and age were judged using standard deviation ratio based on ANOVA. Latent abnormal values exclusion (LAVE) method was applied to reduce the influence of individuals with metabolic syndrome and/or inappropriate sampling conditions. RIs were computed by the parametric method. No appreciable between-city differences were observed. Partition of RVs by sex was required for 17 analytes. Age-related changes in RVs were observed in many analytes, especially in females. The trend was exaggerated in nutritional and inflammatory markers that were closely associated with body mass index (BMI), because BMI increases prominently with age. Therefore, for those analytes, volunteers with BMI > 28 kg/m RIs matched to the Russian population were established for 34 biochemical analytes using up-to-date methods in detailed consideration of sources of variation of RVs. The majority of Russian RIs are similar to those of Caucasian populations among the participating countries.
Identifiants
pubmed: 32278594
pii: S0009-9120(19)31382-7
doi: 10.1016/j.clinbiochem.2020.04.001
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
47-58Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.