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Extent of Equivalence of Results for Urine Albumin among 3 Candidate Mass Spectrometry Reference Measurement Procedures

  • W. Greg Miller
  • , Lorin M. Bachmann
  • , Jeffrey Budd
  • , Ashley Beasley-Green
  • , Karen W. Phinney
  • , Hwee Tong Tan
  • , Tang Lin Teo
  • , Qinde Liu
  • , Seiei Shiba
  • , Jesse Seegmiller

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Urine albumin (UA) is an important biomarker of chronic kidney disease. Current in vitro diagnostic medical devices (IVD-MDs) for measuring UA are not standardized, and median results among IVD-MDs differ by approximately 45%. Since fixed decision values are used to interpret UA, higher-order reference measurement procedures (RMPs) are needed for metrological traceability. Three candidate liquid chromatography-Tandem mass spectrometry RMPs have been developed for UA. Methods: Eight single-donation human urine samples were measured by 3 candidate RMPs. Results were compared using t-Test and variance component analysis. Results: The mean results for each urine sample from each RMP laboratory were not statistically different from the overall mean value by t-Test. The median total CV including contributions from bias and imprecision among the 3 RMP laboratories was 6.23% using variance component analysis for each sample. The allowable bias to the RMP for an end-user IVD-MD was 9.0% or 3.0% based on the desirable or optimal total allowable error of 30% or 24%, respectively. A maximum allowable standard uncertainty for an RMP result was determined to be 4.3% or 3.3% for desirable or optimal performance, respectively. The standard uncertainties for all of the RMP laboratories meet the desirable and optimal standard uncertainty specifications. Conclusion: The candidate RMPs for UA in these 3 laboratories have suitable agreement of results and uncertainties for use as higher-order RMPs in the metrological traceability of end-user IVD-MDs for measuring UA.

Original languageEnglish (US)
Pages (from-to)1375-1382
Number of pages8
JournalClinical chemistry
Volume70
Issue number11
DOIs
StatePublished - Nov 4 2024

Bibliographical note

Publisher Copyright:
© 2024 Association for Diagnostics & Laboratory Medicine. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

PubMed: MeSH publication types

  • Journal Article

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