Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab

Background. 29 GPA patients from the Northern Norway vasculitis disease registry received rituximab (RTX) induction and maintenance. 24% and 31% had, respectively, severe and chronic infections while 45% had hypogammaglobulinemia and 28% discontinued RTX due to hypogammaglobulinemia. The aim of the...

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Published in:Autoimmune Diseases
Main Author: Emilio Besada
Format: Article in Journal/Newspaper
Language:English
Published: Hindawi Limited 2016
Subjects:
Online Access:https://doi.org/10.1155/2016/8095695
https://doaj.org/article/1b9dccf8178247aca089ecd16ef94368
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spelling ftdoajarticles:oai:doaj.org/article:1b9dccf8178247aca089ecd16ef94368 2024-11-03T14:58:23+00:00 Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab Emilio Besada 2016-01-01T00:00:00Z https://doi.org/10.1155/2016/8095695 https://doaj.org/article/1b9dccf8178247aca089ecd16ef94368 EN eng Hindawi Limited http://dx.doi.org/10.1155/2016/8095695 https://doaj.org/toc/2090-0422 https://doaj.org/toc/2090-0430 doi:10.1155/2016/8095695 https://doaj.org/article/1b9dccf8178247aca089ecd16ef94368 Autoimmune Diseases, Vol 2016 (2016) Immunologic diseases. Allergy RC581-607 article 2016 ftdoajarticles https://doi.org/10.1155/2016/8095695 2024-10-09T17:27:39Z Background. 29 GPA patients from the Northern Norway vasculitis disease registry received rituximab (RTX) induction and maintenance. 24% and 31% had, respectively, severe and chronic infections while 45% had hypogammaglobulinemia and 28% discontinued RTX due to hypogammaglobulinemia. The aim of the study was to examine how known predictors and adverse events interacted with adverse events using structural statistical methods. Methods. Five predictors (age, cyclophosphamide, total Ig and CD4/CD8 ratio prior RTX, and type of RTX maintenance regimen) and 4 adverse events (severe and chronic infections, hypogammaglobulinemia, and RTX discontinuation) were modeled in principal component and redundancy analyses. Results. The 5 predictors explained 51% of the variance of the GPA cohort. Models including cyclophosphamide exposure and total Ig level predicted best adverse events. However total Ig level has low R squared. The 2 best combinations of adverse events explained 13% of the variance of the predictors and adverse events. Only chronic infections were associated with combination of all adverse events (P=0.014). Hypogammaglobulinemia did not seem associated with the other adverse events. Conclusions. Traditional risk factors for infections and hypogammaglobulinemia seemed to poorly predict adverse events in our GPA cohort. Article in Journal/Newspaper Northern Norway Directory of Open Access Journals: DOAJ Articles Norway Autoimmune Diseases 2016 1 6
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Immunologic diseases. Allergy
RC581-607
spellingShingle Immunologic diseases. Allergy
RC581-607
Emilio Besada
Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab
topic_facet Immunologic diseases. Allergy
RC581-607
description Background. 29 GPA patients from the Northern Norway vasculitis disease registry received rituximab (RTX) induction and maintenance. 24% and 31% had, respectively, severe and chronic infections while 45% had hypogammaglobulinemia and 28% discontinued RTX due to hypogammaglobulinemia. The aim of the study was to examine how known predictors and adverse events interacted with adverse events using structural statistical methods. Methods. Five predictors (age, cyclophosphamide, total Ig and CD4/CD8 ratio prior RTX, and type of RTX maintenance regimen) and 4 adverse events (severe and chronic infections, hypogammaglobulinemia, and RTX discontinuation) were modeled in principal component and redundancy analyses. Results. The 5 predictors explained 51% of the variance of the GPA cohort. Models including cyclophosphamide exposure and total Ig level predicted best adverse events. However total Ig level has low R squared. The 2 best combinations of adverse events explained 13% of the variance of the predictors and adverse events. Only chronic infections were associated with combination of all adverse events (P=0.014). Hypogammaglobulinemia did not seem associated with the other adverse events. Conclusions. Traditional risk factors for infections and hypogammaglobulinemia seemed to poorly predict adverse events in our GPA cohort.
format Article in Journal/Newspaper
author Emilio Besada
author_facet Emilio Besada
author_sort Emilio Besada
title Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab
title_short Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab
title_full Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab
title_fullStr Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab
title_full_unstemmed Risk Factors and Adverse Events Poorly Predict Infections and Hypogammaglobulinemia in Granulomatosis with Polyangiitis Patients Receiving Rituximab
title_sort risk factors and adverse events poorly predict infections and hypogammaglobulinemia in granulomatosis with polyangiitis patients receiving rituximab
publisher Hindawi Limited
publishDate 2016
url https://doi.org/10.1155/2016/8095695
https://doaj.org/article/1b9dccf8178247aca089ecd16ef94368
geographic Norway
geographic_facet Norway
genre Northern Norway
genre_facet Northern Norway
op_source Autoimmune Diseases, Vol 2016 (2016)
op_relation http://dx.doi.org/10.1155/2016/8095695
https://doaj.org/toc/2090-0422
https://doaj.org/toc/2090-0430
doi:10.1155/2016/8095695
https://doaj.org/article/1b9dccf8178247aca089ecd16ef94368
op_doi https://doi.org/10.1155/2016/8095695
container_title Autoimmune Diseases
container_volume 2016
container_start_page 1
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