Estimation of Reference Change Value and Biological Variation of Creatinine Measurements in Healthy Individuals


Mercan H., ORHAN B., BERÇİK İNAL B.

Clinical Laboratory, cilt.68, sa.9, ss.1920-1929, 2022 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 68 Sayı: 9
  • Basım Tarihi: 2022
  • Doi Numarası: 10.7754/clin.lab.2022.220524
  • Dergi Adı: Clinical Laboratory
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.1920-1929
  • Anahtar Kelimeler: creatinine, individuality index, inter-individual variation, intra-individual variation, reference change value
  • Sağlık Bilimleri Üniversitesi Adresli: Evet

Özet

Introduction: The aim of the this study was to assess the biological variation and reference change value (RCV) for creatinine in healthy individuals aged 18 - 45 years using both Jaffe and enzymatic methods. Methods: Blood samples were collected from ten females and ten males, for four consecutive weeks in our laboratory between November and December 2018. Samples were stored at -80°C before analysis and dissolved in one run and analyzed in duplicate in a single study with the Beckman Coulter AU2700 biochemistry analyzer. Data was evaluated using CV-ANOVA, and analytical (CVA), intra-individual (CVI), and inter-individual (CVG) variations were calculated. The RCV was calculated using the formula. Results: The average CVA calculated at 95% confidence interval for creatinine using Jaffe’s method was 2.51%, CVI was 4.51%, and CVG was 14.17%. The same measures for creatinine were 2.43%, 4.21% and 13.69%, respectively, using the enzymatic method. The individuality index (II) was 0.32 for the Jaffe’s method and 0.31 for the enzymatic method. The average RCV calculated bilaterally in the 95% confidence interval for the Jaffe’s and enzymatic methods were 14.26 and 13.43, respectively. Conclusions: This manuscript has underlined the fact that the II of creatinine is less than 0.6 indicating that the use of population-based reference intervals is limited, and interpretation of the RCV and analysis might be a more objective approach. Taken together, these results suggest that it could be valuable to calculate biological variation correctly and increase clinical awareness.