AI Article Synopsis

  • HbA is crucial for diagnosing and treating diabetes, serving as a key biomarker for monitoring blood sugar levels and predicting vascular complications.
  • The study measured biological variation (BV) in HbA by collecting and analyzing blood samples from 38 healthy individuals over ten weeks using advanced statistical methods.
  • Findings showed a within-subject BV of 2.9% and a between-subject BV of 7.9%, suggesting that the reference change value is more reliable for interpreting HbA1c than standard population references.

Article Abstract

HbA plays an important role in the diagnosis and treatment of diabetes and is a valuable biomarker for evaluating glycemic control and predicting the risk of vascular complications. The study aimed to determine the biological variation (BV) for HbA and thereby contribute to analytical performance specifications, reference change values, and index of individuality. Fasting venous whole blood samples were collected from 38 presumably healthy subjects (20 females, 18 males) once a week for ten weeks, and analyzed in duplicate using the Roche Cobas c501 analyzer. BioVar, an online R-based biological variation analysis tool, was used for the statistical analysis. BV values were obtained by analysis of variance (ANOVA) after outlier detection, normality tests, steady-state, and homogeneity checks. The within-subject biological variation for HbA was 2.9%, and the between-subject biological variation was 7.9%. The index of the individuality of HbA was 0.37. Derived desirable analytical goals for imprecision, bias, total allowable error, and maximum expanded allowable measurement uncertainty were 1.4%, 1.8%, 4.2%, and 2.9% respectively. The reference change value is more appropriate for interpreting HbA1c results than a population-based reference interval.

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Source
http://dx.doi.org/10.1080/00365513.2024.2439394DOI Listing

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