A Single Reference Interval for Interpreting Serum Free Light Chains across Patients with Varying Renal Function.


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
06 May 2023
Historique:
received: 07 11 2022
accepted: 13 03 2023
medline: 6 5 2023
pubmed: 6 5 2023
entrez: 6 5 2023
Statut: aheadofprint

Résumé

Serum free light chain (sFLC) assays are interpreted using a sFLC-ratio-based reference interval (manufacturer's interval) that was defined using a cohort of healthy patients. However, renal impairment elevates the sFLC-ratio, leading to a high false positive rate when using the manufacturer's interval. Prior studies have developed renal-specific reference intervals; however, this approach has not been widely adopted due to practical limitations. Thus, there remains a critical need for a renally robust sFLC interpretation method. Retrospective data mining was used to define patient cohorts that reflect the spectrum of renal function seen in clinical practice. Two new reference intervals, one based on the sFLC-ratio and one based on a novel principal component analysis (PCA)-based metric, were developed for the FREELITE assay (Binding Site) on the Roche Cobas c501 instrument (Roche). Compared to the manufacturer's reference interval, both new methods exhibited significantly lower false positive rates and greater robustness to renal function while maintaining equivalent sensitivity for monoclonal gammopathy (MG) diagnosis. While not significantly different, the point estimate for sensitivity was highest for the PCA-based approach. Renally robust sFLC interpretation using a single reference interval is possible given a reference cohort that reflects the variation in renal function observed in practice. Further studies are needed to achieve sufficient power and determine if the novel PCA-based metric offers superior sensitivity for MG diagnosis. These new methods offer the practical advantages of not requiring an estimated glomerular filtration rate result or multiple reference intervals, thereby lowering practical barriers to implementation.

Sections du résumé

BACKGROUND BACKGROUND
Serum free light chain (sFLC) assays are interpreted using a sFLC-ratio-based reference interval (manufacturer's interval) that was defined using a cohort of healthy patients. However, renal impairment elevates the sFLC-ratio, leading to a high false positive rate when using the manufacturer's interval. Prior studies have developed renal-specific reference intervals; however, this approach has not been widely adopted due to practical limitations. Thus, there remains a critical need for a renally robust sFLC interpretation method.
METHODS METHODS
Retrospective data mining was used to define patient cohorts that reflect the spectrum of renal function seen in clinical practice. Two new reference intervals, one based on the sFLC-ratio and one based on a novel principal component analysis (PCA)-based metric, were developed for the FREELITE assay (Binding Site) on the Roche Cobas c501 instrument (Roche).
RESULTS RESULTS
Compared to the manufacturer's reference interval, both new methods exhibited significantly lower false positive rates and greater robustness to renal function while maintaining equivalent sensitivity for monoclonal gammopathy (MG) diagnosis. While not significantly different, the point estimate for sensitivity was highest for the PCA-based approach.
CONCLUSION CONCLUSIONS
Renally robust sFLC interpretation using a single reference interval is possible given a reference cohort that reflects the variation in renal function observed in practice. Further studies are needed to achieve sufficient power and determine if the novel PCA-based metric offers superior sensitivity for MG diagnosis. These new methods offer the practical advantages of not requiring an estimated glomerular filtration rate result or multiple reference intervals, thereby lowering practical barriers to implementation.

Identifiants

pubmed: 37147848
pii: 7153471
doi: 10.1093/clinchem/hvad043
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© American Association for Clinical Chemistry 2023.

Auteurs

Vahid Azimi (V)

Department of Pathology and Immunology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Michael Slade (M)

Department of Medicine, Division of Oncology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Mark Fiala (M)

Department of Medicine, Division of Oncology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Julie M Fortier (JM)

Department of Medicine, Division of Oncology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Keith Stockerl-Goldstein (K)

Department of Medicine, Division of Oncology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

John L Frater (JL)

Department of Pathology and Immunology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Jonathan R Brestoff (JR)

Department of Pathology and Immunology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Ronald Jackups (R)

Department of Pathology and Immunology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Mark A Zaydman (MA)

Department of Pathology and Immunology, Washington University in St. Louis, School of Medicine, St. Louis, MO, United States.

Classifications MeSH