Literature DB >> 27618362

Evaluation of the Impact of Renal Failure on Correlation and Concordance Between 2 Free Light Chain Assays.

Caroline Moreau1, Brice Autier2, Thibault Cavey3, Emmanuel Rouger2, James Norwood4, Claude Bendavid3, Martine Escoffre4, Martine Sébillot5, Olivier Decaux5.   

Abstract

BACKGROUND: Free light chain (FLC) assays are essential for diagnosis and follow-up of plasma cell dyscrasia. Two assays are available: Freelite (Binding Site) and N Latex FLC (Siemens). The aim of our study was to evaluate the impact of renal failure on concordance and correlation between the 2 FLC assays.
METHODS: FLC measurements using both assays were performed on 1215 fresh serum samples from patients with or without monoclonal gammopathy and renal failure. Concordance and correlation were evaluated using Passing-Bablock regression, Pearson correlation coefficient, and the Cohen kappa coefficient, taking into account the renal failure stage (evaluated with Chronic Kidney Disease-Epidemiology Collaboration formulae) and evaluation of treatment response in patients' follow-up.
RESULTS: A good correlation was demonstrated between both assays, irrespective of the renal failure stage (Pearson correlation coefficient > 0.90). For FLC ratio interpretation, there remained 7.6% to 20.8% discordances between the 2 methods throughout the whole range of renal impairment. To evaluate FLC evolution in patient follow-up, 41 patients were selected with at least 6 consecutive serum samples being collected during the study period: we observed a concordant evolution of FLC concentrations between both assays. However, few discrepancies were observed with 4 patients.
CONCLUSIONS: Despite adjusted reference ranges for Freelite FLC ratio, there are approximately 12.5% discrepancies in interpretation of FLC ratio between the 2 available assays. They are not linked to renal failure stage and neither of the assays performed better than the other: results must be interpreted taking into account clinical data and the same assay must be used for patient follow-up. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic kidney disease; FLC interpretation; Free light chains; Monoclonal gammopathy; Multiple myeloma

Mesh:

Substances:

Year:  2016        PMID: 27618362     DOI: 10.1016/j.clml.2016.08.012

Source DB:  PubMed          Journal:  Clin Lymphoma Myeloma Leuk        ISSN: 2152-2669


  5 in total

Review 1.  Myeloma light chain cast nephropathy, a review.

Authors:  Insara Jaffer Sathick; Maria Eleni Drosou; Nelson Leung
Journal:  J Nephrol       Date:  2018-05-05       Impact factor: 3.902

2.  Comparison of 2 Serum-Free Light-Chain Assays in CKD Patients.

Authors:  Ben Sprangers; Kathleen Claes; Pieter Evenepoel; Dirk Kuypers; Koen Poesen; Michel Delforge; Xavier Bossuyt V; Björn Meijers
Journal:  Kidney Int Rep       Date:  2020-01-30

3.  How to quantify monoclonal free light chains in plasma cell disorders: which mass spectrometry technology?

Authors:  Caroline Moreau; Charles R Lefevre; Olivier Decaux
Journal:  Ann Transl Med       Date:  2020-08

4.  Using Two Detection Methods to Observe the Changes and Significance of Free Light Chain in Serum and Urine in Patients with Renal Insufficiency.

Authors:  Lengnan Xu; Ban Zhao; Ying Sun; Songlan Wang; Xianguang Chen; Yonghui Mao
Journal:  Biomed Res Int       Date:  2022-03-29       Impact factor: 3.411

5.  Baseline and Changes in Serum B-Cell Maturation Antigen Levels Rapidly Indicate Changes in Clinical Status Among Patients with Relapsed/Refractory Multiple Myeloma Starting New Therapy.

Authors:  Sean Bujarski; Kyle Udd; Camilia Soof; Haiming Chen; Tanya M Spektor; Tahmineh Safaie; Mingjie Li; Joshua Stern; Cathy Wang; Ning Xu; Marsiye Emamy-Sadr; Regina Swift; Ashkon Rahbari; Saurabh Patil; Eric Souther; Bernard Regidor; Christine Sutanto; James R Berenson
Journal:  Target Oncol       Date:  2021-06-07       Impact factor: 4.493

  5 in total

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