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Derivation of sex and age-specific reference intervals for clinical chemistry analytes in healthy Ghanaian adults

Authors :
Serwaa Akoto Bawua
Kiyoshi Ichihara
Rosemary Keatley
John Arko-Mensah
Patrick F. Ayeh-Kumi
Rajiv Erasmus
Julius Fobil
Source :
Clinical Chemistry and Laboratory Medicine (CCLM). 60:1426-1439
Publication Year :
2022
Publisher :
Walter de Gruyter GmbH, 2022.

Abstract

Objectvies This study is aimed at establishing reference intervals (RIs) of 40 chemistry and immunochemistry analytes for Ghanaian adults based on internationally harmonized protocol by IFCC Committee on Reference Intervals and Decision Limits (C-RIDL). Methods A total of 501 healthy volunteers aged ≥18 years were recruited from the northern and southern regions of Ghana. Blood samples were analyzed with Beckman-Coulter AU480 and Centaur-XP/Siemen auto-analyzers. Sources of variations of reference values (RVs) were evaluated by multiple regression analysis (MRA). The need for partitioning RVs by sex and age was guided by the SD ratio (SDR). The RI for each analyte was derived using parametric method with application of the latent abnormal values exclusion (LAVE) method. Results Using SDR≥0.4 as threshold, RVs were partitioned by sex for most enzymes, creatinine, uric acid (UA), bilirubin, immunoglobulin-M. MRA revealed age and body mass index (BMI) as major source of variations of many analytes. LAVE lowered the upper limits of RIs for alanine/aspartate aminotransferase, γ-glutamyl transaminase and lipids. Exclusion of individuals with BMI≥30 further lowered the RIs for lipids and CRP. After standardization based on value-assigned serum panel provided by C-RIDL, Ghanaian RIs were found higher for creatine kinase, amylase, and lower for albumin and urea compared to other collaborating countries. Conclusions The LAVE effect on many clinical chemistry RIs supports the need for the secondary exclusion for reliable derivation of RIs. The differences in Ghanaian RIs compared to other countries underscore the importance of country specific-RIs for improved clinical decision making.

Details

ISSN :
14374331 and 14346621
Volume :
60
Database :
OpenAIRE
Journal :
Clinical Chemistry and Laboratory Medicine (CCLM)
Accession number :
edsair.doi.dedup.....9d0a45d5d94d22226f26ae68a6907d20
Full Text :
https://doi.org/10.1515/cclm-2022-0293