Cargando…

Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies

OBJECTIVES: Multiple myeloma (MM) is one of the hematologic malignancies with a greater delay in diagnosis. Laboratories receive numerous MM screening test requests without a specific suspicion, which entails a substantial workload and reduces the efficiency of laboratories. Objective: to increase t...

Descripción completa

Detalles Bibliográficos
Autores principales: Oliveros Conejero, Raquel, Pascual Usandizaga, Pilar, Garrido Chércoles, Adolfo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197466/
https://www.ncbi.nlm.nih.gov/pubmed/37361501
http://dx.doi.org/10.1515/almed-2020-0042
_version_ 1785044557867515904
author Oliveros Conejero, Raquel
Pascual Usandizaga, Pilar
Garrido Chércoles, Adolfo
author_facet Oliveros Conejero, Raquel
Pascual Usandizaga, Pilar
Garrido Chércoles, Adolfo
author_sort Oliveros Conejero, Raquel
collection PubMed
description OBJECTIVES: Multiple myeloma (MM) is one of the hematologic malignancies with a greater delay in diagnosis. Laboratories receive numerous MM screening test requests without a specific suspicion, which entails a substantial workload and reduces the efficiency of laboratories. Objective: to increase the efficacy of MM screening protocols. METHODS: The results of serum protein electrophoresis (SPEP), serum protein immunofixation electrophoresis (SIFE), urine protein immunofixation electrophoresis, and serum free light chain assays of 75 patients with MM, three with amyloidosis, and a patient with solitary plasmocytoma were collected. The frequency of a set of biochemical alterations in these patients was compared with that in controls (n=120). A validation of the screening algorithm was carried out in 261 consecutive patients with a clinical or analytical suspicion of MM. RESULTS: SPEP+SFLC or SIFE+SFLC (98% sensitivity) were the screening algorithms with the highest sensitivity. Prospectively, the SPEP + SFLC detected 27 of the 28 confirmed cases of MG and saved 15 h of work. Alterations in five of the six parameters studied were more frequent in the study group, with a cumulative value of ≥3 parameters altered (61.1 vs. 1.7%) (positive predictive value: 85%; negative predictive value: 94%). CONCLUSIONS: The SPEP+SFLC screening protocol demonstrated the highest sensitivity and was the least time-consuming protocol. In addition, this protocol improves diagnostic sensitivity and laboratory performance.
format Online
Article
Text
id pubmed-10197466
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher De Gruyter
record_format MEDLINE/PubMed
spelling pubmed-101974662023-06-23 Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies Oliveros Conejero, Raquel Pascual Usandizaga, Pilar Garrido Chércoles, Adolfo Adv Lab Med Article OBJECTIVES: Multiple myeloma (MM) is one of the hematologic malignancies with a greater delay in diagnosis. Laboratories receive numerous MM screening test requests without a specific suspicion, which entails a substantial workload and reduces the efficiency of laboratories. Objective: to increase the efficacy of MM screening protocols. METHODS: The results of serum protein electrophoresis (SPEP), serum protein immunofixation electrophoresis (SIFE), urine protein immunofixation electrophoresis, and serum free light chain assays of 75 patients with MM, three with amyloidosis, and a patient with solitary plasmocytoma were collected. The frequency of a set of biochemical alterations in these patients was compared with that in controls (n=120). A validation of the screening algorithm was carried out in 261 consecutive patients with a clinical or analytical suspicion of MM. RESULTS: SPEP+SFLC or SIFE+SFLC (98% sensitivity) were the screening algorithms with the highest sensitivity. Prospectively, the SPEP + SFLC detected 27 of the 28 confirmed cases of MG and saved 15 h of work. Alterations in five of the six parameters studied were more frequent in the study group, with a cumulative value of ≥3 parameters altered (61.1 vs. 1.7%) (positive predictive value: 85%; negative predictive value: 94%). CONCLUSIONS: The SPEP+SFLC screening protocol demonstrated the highest sensitivity and was the least time-consuming protocol. In addition, this protocol improves diagnostic sensitivity and laboratory performance. De Gruyter 2020-07-27 /pmc/articles/PMC10197466/ /pubmed/37361501 http://dx.doi.org/10.1515/almed-2020-0042 Text en © 2020 Raquel Oliveros Conejero et al., published by De Gruyter. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Article
Oliveros Conejero, Raquel
Pascual Usandizaga, Pilar
Garrido Chércoles, Adolfo
Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
title Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
title_full Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
title_fullStr Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
title_full_unstemmed Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
title_short Optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
title_sort optimization of workflow and screening panels for the detection of malignant monoclonal gammopathies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197466/
https://www.ncbi.nlm.nih.gov/pubmed/37361501
http://dx.doi.org/10.1515/almed-2020-0042
work_keys_str_mv AT oliverosconejeroraquel optimizationofworkflowandscreeningpanelsforthedetectionofmalignantmonoclonalgammopathies
AT pascualusandizagapilar optimizationofworkflowandscreeningpanelsforthedetectionofmalignantmonoclonalgammopathies
AT garridochercolesadolfo optimizationofworkflowandscreeningpanelsforthedetectionofmalignantmonoclonalgammopathies