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Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma

BACKGROUND: Partial immunoparesis, which means at least two suppressed uninvolved immunoglobulins (Igs), had been reported to be associated with poor prognosis in patients with multiple myeloma (MM), but the impact on early infections remains unknown. The purpose of our study was to determine the pr...

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Autores principales: Huang, Weimin, Wei, Xiaolei, Wei, Qi, Wei, Yongqiang, Feng, Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797456/
https://www.ncbi.nlm.nih.gov/pubmed/35116375
http://dx.doi.org/10.21037/tcr-21-1627
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author Huang, Weimin
Wei, Xiaolei
Wei, Qi
Wei, Yongqiang
Feng, Ru
author_facet Huang, Weimin
Wei, Xiaolei
Wei, Qi
Wei, Yongqiang
Feng, Ru
author_sort Huang, Weimin
collection PubMed
description BACKGROUND: Partial immunoparesis, which means at least two suppressed uninvolved immunoglobulins (Igs), had been reported to be associated with poor prognosis in patients with multiple myeloma (MM), but the impact on early infections remains unknown. The purpose of our study was to determine the prognostic implications of partial immunoparesis on early grade ≥3 infections in patients with MM. METHODS: Herein we retrospectively analyzed the clinical data of 123 MM patients between 2012 and 2020 at Nanfang Hospital. All patients received bortezomib-based regimens. The relationship between early grade ≥3 infections and partial immunoparesis was investigated using Cox regression analysis. RESULTS: Our data showed partial immunoapresis was found in 63% MM patients. Partial immunoparesis was significantly related to elevated beta-2-microglobulin (B2M), decreased estimated glomerular filtration rate (eGFR) and progressive international staging system (ISS) stage (P<0.05). Especially, univariate Cox regression analysis showed partial immunoparesis was significantly correlated with early grade ≥3 infections (P=0.003). Moreover, multivariate Cox regression analysis showed partial immunoparesis was an independent significant prognostic factor for early grade ≥3 infections [odds ratio (OR) =3.048; 95% confidence interval (CI): 1.429–6.504; P=0.004]. Furthermore, partial immunoapresis could improve the infection risk model built by Dumontet et al. CONCLUSIONS: Our study showed that partial immunoparesis could predict early infections in patients with MM, which may be used to identify the high risk patients for infections and guide strategies for infection prevention.
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spelling pubmed-87974562022-02-02 Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma Huang, Weimin Wei, Xiaolei Wei, Qi Wei, Yongqiang Feng, Ru Transl Cancer Res Original Article BACKGROUND: Partial immunoparesis, which means at least two suppressed uninvolved immunoglobulins (Igs), had been reported to be associated with poor prognosis in patients with multiple myeloma (MM), but the impact on early infections remains unknown. The purpose of our study was to determine the prognostic implications of partial immunoparesis on early grade ≥3 infections in patients with MM. METHODS: Herein we retrospectively analyzed the clinical data of 123 MM patients between 2012 and 2020 at Nanfang Hospital. All patients received bortezomib-based regimens. The relationship between early grade ≥3 infections and partial immunoparesis was investigated using Cox regression analysis. RESULTS: Our data showed partial immunoapresis was found in 63% MM patients. Partial immunoparesis was significantly related to elevated beta-2-microglobulin (B2M), decreased estimated glomerular filtration rate (eGFR) and progressive international staging system (ISS) stage (P<0.05). Especially, univariate Cox regression analysis showed partial immunoparesis was significantly correlated with early grade ≥3 infections (P=0.003). Moreover, multivariate Cox regression analysis showed partial immunoparesis was an independent significant prognostic factor for early grade ≥3 infections [odds ratio (OR) =3.048; 95% confidence interval (CI): 1.429–6.504; P=0.004]. Furthermore, partial immunoapresis could improve the infection risk model built by Dumontet et al. CONCLUSIONS: Our study showed that partial immunoparesis could predict early infections in patients with MM, which may be used to identify the high risk patients for infections and guide strategies for infection prevention. AME Publishing Company 2021-12 /pmc/articles/PMC8797456/ /pubmed/35116375 http://dx.doi.org/10.21037/tcr-21-1627 Text en 2021 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Original Article
Huang, Weimin
Wei, Xiaolei
Wei, Qi
Wei, Yongqiang
Feng, Ru
Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
title Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
title_full Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
title_fullStr Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
title_full_unstemmed Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
title_short Partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
title_sort partial immunoparesis contributes to risk of early infections in patients with multiple myeloma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797456/
https://www.ncbi.nlm.nih.gov/pubmed/35116375
http://dx.doi.org/10.21037/tcr-21-1627
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