Identification of Covariates Modulating B‐Cell Repopulation Kinetics in Subjects Receiving Rituximab Treatment

Effective B-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B-cell depletion is associated with a higher risk for severe infections and the timespan of B-cell repopulation differs greatly between individual...

Full description

Saved in:
Bibliographic Details
Published inArthritis & rheumatology (Hoboken, N.J.) Vol. 75; no. 11; pp. 2045 - 2053
Main Authors Welte, Thomas, Westermann, Lukas, Kappes, Julia, Schramm, Markus A., Bemtgen, Xavier, Staudacher, Dawid L., Hug, Martin J., Venhoff, Nils, Arnold, Frederic
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.11.2023
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Effective B-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B-cell depletion is associated with a higher risk for severe infections and the timespan of B-cell repopulation differs greatly between individuals. Data on factors influencing B-cell repopulation kinetics are limited. This study aims to identify patient-specific and therapy-associated covariates that modulate B-cell repopulation. This single-center retrospective observational study presents data of 839 subjects receiving 2,017 courses of anti-CD20 antibody rituximab for auto-immune disease. Assessed covariates are patient-specific factors (sex, age, kidney function and underlying disease) and co-immunosuppression with common agents (azathioprine, cyclosporine A, cyclophosphamide, hydroxychloroquine, methotrexate, mycophenolate mofetil, tacrolimus and corticosteroids). The primary endpoint is the time to B-cell repopulation (CD19 cells ≥ 5/μl). The secondary endpoint is the time to B-cell reconstitution (CD19 cells ≥ 50/μl). Multivariate time-to-event analysis and logistic regression models were applied to estimate the influence of covariates. Age > 60 years (HR 0.71 for repopulation, P = 0.008), impaired kidney function (HR 0.72, P = 0.001), AAV (HR 0.61, P < 0.001), solid organ transplantation (HR 0.4, P < 0.001), and co-immunosuppression with corticosteroids (HR 0.64, P < 0.001) or azathioprine (HR 0.49, P < 0.001) were associated with impaired B-cell repopulation and reconstitution. The effects of corticosteroids (P = 0.043) and azathioprine (P = 0.025) were dose-dependent. Prolonged rituximab dosing intervals may be effective to achieve B-cell depletion and reduce risk of infection in advanced age or patients with impaired kidney function. Co-medication with corticosteroids or azathioprine prolongs B-cell recovery, which may increase therapeutic effects, but also the rate of adverse events.
AbstractList ObjectiveB‐cell depletion using the anti‐CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B‐cell depletion is associated with a higher risk for severe infections, and the time span of B‐cell repopulation differs greatly between individuals. Data on factors influencing B‐cell repopulation kinetics are limited. This study aims to identify patient‐specific and therapy‐associated covariates that modulate B‐cell repopulation.MethodsThis single‐center retrospective observational study presents data of 839 subjects receiving 2,017 courses of rituximab for autoimmune diseases. Assessed covariates are patient‐specific factors (sex, age, kidney function, and underlying disease) and co‐immunosuppression with common agents (azathioprine, cyclosporine A, cyclophosphamide, hydroxychloroquine, methotrexate, mycophenolate mofetil, tacrolimus, and corticosteroids). The primary end point is the time to B‐cell repopulation (≥5/μl). The secondary end point is the time to B‐cell reconstitution (≥50/μl). Multivariate time‐to‐event analysis and logistic regression models were applied to estimate the influence of covariates.ResultsAge over 60 years (hazard ratio [HR] 0.71 for repopulation, P = 0.008), impaired kidney function (HR 0.72, P = 0.001), antineutrophil cytoplasmic antibody‐associated vasculitis (HR 0.61, P < 0.001), solid organ transplantation (HR 0.4, P < 0.001), and co‐immunosuppression with corticosteroids (HR 0.64, P < 0.001) or azathioprine (HR 0.49, P < 0.001) were associated with impaired B‐cell repopulation and reconstitution. Effects of corticosteroids (P = 0.043) and azathioprine (P = 0.025) were dose dependent.ConclusionProlonged rituximab dosing intervals may be effective to achieve B‐cell depletion and reduce risk of infection in advanced age or patients with impaired kidney function. Co‐medication with corticosteroids or azathioprine prolongs B‐cell recovery, which may increase therapeutic effects but also the rate of adverse events.
B-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B-cell depletion is associated with a higher risk for severe infections, and the time span of B-cell repopulation differs greatly between individuals. Data on factors influencing B-cell repopulation kinetics are limited. This study aims to identify patient-specific and therapy-associated covariates that modulate B-cell repopulation.OBJECTIVEB-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B-cell depletion is associated with a higher risk for severe infections, and the time span of B-cell repopulation differs greatly between individuals. Data on factors influencing B-cell repopulation kinetics are limited. This study aims to identify patient-specific and therapy-associated covariates that modulate B-cell repopulation.This single-center retrospective observational study presents data of 839 subjects receiving 2,017 courses of rituximab for autoimmune diseases. Assessed covariates are patient-specific factors (sex, age, kidney function, and underlying disease) and co-immunosuppression with common agents (azathioprine, cyclosporine A, cyclophosphamide, hydroxychloroquine, methotrexate, mycophenolate mofetil, tacrolimus, and corticosteroids). The primary end point is the time to B-cell repopulation (≥5/μl). The secondary end point is the time to B-cell reconstitution (≥50/μl). Multivariate time-to-event analysis and logistic regression models were applied to estimate the influence of covariates.METHODSThis single-center retrospective observational study presents data of 839 subjects receiving 2,017 courses of rituximab for autoimmune diseases. Assessed covariates are patient-specific factors (sex, age, kidney function, and underlying disease) and co-immunosuppression with common agents (azathioprine, cyclosporine A, cyclophosphamide, hydroxychloroquine, methotrexate, mycophenolate mofetil, tacrolimus, and corticosteroids). The primary end point is the time to B-cell repopulation (≥5/μl). The secondary end point is the time to B-cell reconstitution (≥50/μl). Multivariate time-to-event analysis and logistic regression models were applied to estimate the influence of covariates.Age over 60 years (hazard ratio [HR] 0.71 for repopulation, P = 0.008), impaired kidney function (HR 0.72, P = 0.001), antineutrophil cytoplasmic antibody-associated vasculitis (HR 0.61, P < 0.001), solid organ transplantation (HR 0.4, P < 0.001), and co-immunosuppression with corticosteroids (HR 0.64, P < 0.001) or azathioprine (HR 0.49, P < 0.001) were associated with impaired B-cell repopulation and reconstitution. Effects of corticosteroids (P = 0.043) and azathioprine (P = 0.025) were dose dependent.RESULTSAge over 60 years (hazard ratio [HR] 0.71 for repopulation, P = 0.008), impaired kidney function (HR 0.72, P = 0.001), antineutrophil cytoplasmic antibody-associated vasculitis (HR 0.61, P < 0.001), solid organ transplantation (HR 0.4, P < 0.001), and co-immunosuppression with corticosteroids (HR 0.64, P < 0.001) or azathioprine (HR 0.49, P < 0.001) were associated with impaired B-cell repopulation and reconstitution. Effects of corticosteroids (P = 0.043) and azathioprine (P = 0.025) were dose dependent.Prolonged rituximab dosing intervals may be effective to achieve B-cell depletion and reduce risk of infection in advanced age or patients with impaired kidney function. Co-medication with corticosteroids or azathioprine prolongs B-cell recovery, which may increase therapeutic effects but also the rate of adverse events.CONCLUSIONProlonged rituximab dosing intervals may be effective to achieve B-cell depletion and reduce risk of infection in advanced age or patients with impaired kidney function. Co-medication with corticosteroids or azathioprine prolongs B-cell recovery, which may increase therapeutic effects but also the rate of adverse events.
Effective B-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B-cell depletion is associated with a higher risk for severe infections and the timespan of B-cell repopulation differs greatly between individuals. Data on factors influencing B-cell repopulation kinetics are limited. This study aims to identify patient-specific and therapy-associated covariates that modulate B-cell repopulation. This single-center retrospective observational study presents data of 839 subjects receiving 2,017 courses of anti-CD20 antibody rituximab for auto-immune disease. Assessed covariates are patient-specific factors (sex, age, kidney function and underlying disease) and co-immunosuppression with common agents (azathioprine, cyclosporine A, cyclophosphamide, hydroxychloroquine, methotrexate, mycophenolate mofetil, tacrolimus and corticosteroids). The primary endpoint is the time to B-cell repopulation (CD19 cells ≥ 5/μl). The secondary endpoint is the time to B-cell reconstitution (CD19 cells ≥ 50/μl). Multivariate time-to-event analysis and logistic regression models were applied to estimate the influence of covariates. Age > 60 years (HR 0.71 for repopulation, P = 0.008), impaired kidney function (HR 0.72, P = 0.001), AAV (HR 0.61, P < 0.001), solid organ transplantation (HR 0.4, P < 0.001), and co-immunosuppression with corticosteroids (HR 0.64, P < 0.001) or azathioprine (HR 0.49, P < 0.001) were associated with impaired B-cell repopulation and reconstitution. The effects of corticosteroids (P = 0.043) and azathioprine (P = 0.025) were dose-dependent. Prolonged rituximab dosing intervals may be effective to achieve B-cell depletion and reduce risk of infection in advanced age or patients with impaired kidney function. Co-medication with corticosteroids or azathioprine prolongs B-cell recovery, which may increase therapeutic effects, but also the rate of adverse events.
Author Bemtgen, Xavier
Kappes, Julia
Arnold, Frederic
Westermann, Lukas
Staudacher, Dawid L.
Schramm, Markus A.
Welte, Thomas
Hug, Martin J.
Venhoff, Nils
Author_xml – sequence: 1
  givenname: Thomas
  surname: Welte
  fullname: Welte, Thomas
  organization: Department of Medicine IV, Medical Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 2
  givenname: Lukas
  surname: Westermann
  fullname: Westermann, Lukas
  organization: Department of Medicine IV, Medical Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 3
  givenname: Julia
  surname: Kappes
  fullname: Kappes, Julia
  organization: Department of Pneumology, Medical Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 4
  givenname: Markus A.
  orcidid: 0000-0003-3513-3842
  surname: Schramm
  fullname: Schramm, Markus A.
  organization: Department of Rheumatology and Clinical Immunology, Medical Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 5
  givenname: Xavier
  surname: Bemtgen
  fullname: Bemtgen, Xavier
  organization: Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, Faculty of Medicine, University of Freiburg, and Department of Cardiology and Angiology I, Heart Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 6
  givenname: Dawid L.
  surname: Staudacher
  fullname: Staudacher, Dawid L.
  organization: Department of Medicine III (Interdisciplinary Medical Intensive Care), Medical Center, Faculty of Medicine, University of Freiburg, and Department of Cardiology and Angiology I, Heart Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 7
  givenname: Martin J.
  surname: Hug
  fullname: Hug, Martin J.
  organization: Pharmacy, Medical Center University of Freiburg Freiburg Germany
– sequence: 8
  givenname: Nils
  surname: Venhoff
  fullname: Venhoff, Nils
  organization: Department of Rheumatology and Clinical Immunology, Medical Center, Faculty of Medicine University of Freiburg Freiburg Germany
– sequence: 9
  givenname: Frederic
  orcidid: 0000-0001-6799-9152
  surname: Arnold
  fullname: Arnold, Frederic
  organization: Department of Medicine IV, Medical Center, Faculty of Medicine, University of Freiburg, and Institute for Microbiology and Hygiene, Medical Center, Faculty of Medicine University of Freiburg Freiburg Germany
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37276446$$D View this record in MEDLINE/PubMed
BookMark eNplkd1OHCEUx0mjqR_1oi_QTNIbvVjla4bhsm60NWqaWHtNGObQsJmFKTAbvfMRfMY-SdnVvVFIOAR-_wPn_A_Qjg8eEPpM8CnBmJ7pmE85bWj9Ae1TRptZTXG9s90TSfbQUUoLXIYUuMH1R7THBBUN580-Gq968NlZZ3R2wVfBVvOw0tHpDKm6Df00lAv_pzr_9_Q8h2Go7mAM4-a04NfOQ3YmVc5Xv6ZuASanQhhwq7XozuXpwS11V91H0HlZnvqEdq0eEhy9xkP0-_Lifv5jdvPz-9X8283MMN7mmemAEk4ss8RwQ3BDrAEhay7LyqCVuJWE4FqAFW0nZE96w6WsBcbQU2HZITp-yTvG8HeClNXSJVMK0B7ClBRtKcO8TFLQr2_QRZiiL78rVMtqJiVdU19eqalbQq_GWAqLj2rbywKcvQAmhpQiWGVc3rQpR-0GRbBaG6aKYWpjWFGcvFFsk75n_wOcupZt
CitedBy_id crossref_primary_10_1016_j_msard_2024_106191
crossref_primary_10_1016_j_ekir_2025_03_009
crossref_primary_10_1055_a_2381_4337
crossref_primary_10_1007_s10238_023_01186_y
crossref_primary_10_1016_j_rdc_2024_09_006
crossref_primary_10_1016_j_ekir_2025_02_002
crossref_primary_10_1016_j_ekir_2025_03_024
crossref_primary_10_1055_a_2241_4779
crossref_primary_10_3389_fmed_2024_1481333
Cites_doi 10.1186/s13075-017-1306-0
10.2215/CJN.01070118
10.1016/j.clim.2006.08.009
10.1007/s12016-007-8015-4
10.1093/ndt/gfac110.001
10.1002/art.41773
10.1093/rheumatology/keac024
10.1007/s40259-019-00376-z
10.1038/s41584-020-00540-8
10.1212/NXI.0000000000000463
10.7326/0003-4819-150-9-200905050-00006
10.1016/j.ejim.2020.12.006
10.18637/jss.v036.i02
10.1371/journal.pone.0037626
10.1001/jama.2021.6615
10.1007/s10875-012-9813-x
10.1111/ene.15312
10.1186/s12879-022-07722-7
10.3899/jrheum.090856
10.1136/ard.2011.153601
10.1016/j.clml.2012.11.011
10.1164/rccm.200507-1144OC
10.1080/10428190701411441
10.1038/nri1838
10.1093/rheumatology/kel393
10.1097/MEG.0b013e32834233a2
10.1093/rheumatology/kez152
10.1002/art.21617
10.1056/NEJMoa0909905
10.1007/s11926-021-01037-3
10.32614/RJ-2017-066
10.1002/art.22019
10.1093/rheumatology/keaa234
10.1136/annrheumdis-2021-220604
10.3389/fimmu.2021.803175
10.1371/journal.pone.0155218
10.1007/s10067-019-04443-2
ContentType Journal Article
Copyright This article is protected by copyright. All rights reserved.
2023. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2023 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.
Copyright_xml – notice: This article is protected by copyright. All rights reserved.
– notice: 2023. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2023 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.
DBID AAYXX
CITATION
NPM
7QL
7QP
7T5
7TM
7U7
C1K
H94
K9.
7X8
DOI 10.1002/art.42625
DatabaseName CrossRef
PubMed
Bacteriology Abstracts (Microbiology B)
Calcium & Calcified Tissue Abstracts
Immunology Abstracts
Nucleic Acids Abstracts
Toxicology Abstracts
Environmental Sciences and Pollution Management
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
MEDLINE - Academic
DatabaseTitle CrossRef
PubMed
Toxicology Abstracts
Bacteriology Abstracts (Microbiology B)
Nucleic Acids Abstracts
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
Immunology Abstracts
Calcium & Calcified Tissue Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
DatabaseTitleList Toxicology Abstracts
MEDLINE - Academic
PubMed
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2326-5205
EndPage 2053
ExternalDocumentID 37276446
10_1002_art_42625
Genre Journal Article
GroupedDBID 0R~
1OC
33P
3SF
4.4
52O
52U
52V
53G
5VS
AAESR
AAEVG
AAFWJ
AAHHS
AAHQN
AAIPD
AAMNL
AANHP
AANLZ
AAQQT
AASGY
AAWTL
AAXRX
AAYCA
AAYXX
AAZKR
ABCUV
ABJNI
ABLJU
ABPVW
ABQWH
ABXGK
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACFBH
ACGFS
ACGOF
ACIWK
ACMXC
ACPOU
ACPRK
ACRPL
ACXBN
ACXQS
ACYXJ
ADBBV
ADBTR
ADEOM
ADIZJ
ADKYN
ADMGS
ADNMO
ADOZA
ADXAS
ADZMN
ADZOD
AEEZP
AEIGN
AEIMD
AENEX
AEQDE
AEUYR
AEYWJ
AFBPY
AFFPM
AFGKR
AFRAH
AFWVQ
AFZJQ
AGHNM
AGQPQ
AGYGG
AHBTC
AHMBA
AIACR
AITYG
AIURR
AIWBW
AJBDE
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
ALVPJ
AMBMR
AMYDB
ATUGU
AZFZN
AZVAB
BDRZF
BFHJK
BHBCM
BMXJE
BROTX
BRXPI
BY8
C45
CITATION
DCZOG
DIK
DRFUL
DRMAN
DRSTM
EBS
EJD
EMOBN
EX3
F00
FUBAC
G-S
G.N
GODZA
HGLYW
KBYEO
LATKE
LEEKS
LH4
LITHE
LOXES
LUTES
LW6
LYRES
MEWTI
MRFUL
MRMAN
MRSTM
MSFUL
MSMAN
MSSTM
MXFUL
MXMAN
MXSTM
NF~
O66
O9-
OVD
P2W
PQQKQ
QB0
ROL
SUPJJ
TEORI
V9Y
WBKPD
WHWMO
WIH
WIJ
WIK
WOHZO
WVDHM
WXSBR
NPM
YCJ
7QL
7QP
7T5
7TM
7U7
AAMMB
AEFGJ
AGXDD
AIDQK
AIDYY
C1K
H94
K9.
7X8
ID FETCH-LOGICAL-c348t-cbe2141f3f1c4c1061fce79549e793e8908911057ef78b79d1dc4995700ed27f3
ISSN 2326-5191
2326-5205
IngestDate Thu Jul 10 22:43:04 EDT 2025
Fri Jul 25 12:14:07 EDT 2025
Thu Apr 03 07:07:56 EDT 2025
Tue Jul 01 00:56:08 EDT 2025
Thu Apr 24 23:05:25 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 11
Language English
License This article is protected by copyright. All rights reserved.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c348t-cbe2141f3f1c4c1061fce79549e793e8908911057ef78b79d1dc4995700ed27f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Undefined-1
ObjectType-Feature-3
content type line 23
ORCID 0000-0001-6799-9152
0000-0003-3513-3842
OpenAccessLink https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/art.42625
PMID 37276446
PQID 2883539921
PQPubID 946334
PageCount 9
ParticipantIDs proquest_miscellaneous_2823040401
proquest_journals_2883539921
pubmed_primary_37276446
crossref_citationtrail_10_1002_art_42625
crossref_primary_10_1002_art_42625
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2023-11-01
PublicationDateYYYYMMDD 2023-11-01
PublicationDate_xml – month: 11
  year: 2023
  text: 2023-11-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: Atlanta
PublicationTitle Arthritis & rheumatology (Hoboken, N.J.)
PublicationTitleAlternate Arthritis Rheumatol
PublicationYear 2023
Publisher Wiley Subscription Services, Inc
Publisher_xml – name: Wiley Subscription Services, Inc
References e_1_2_7_6_1
e_1_2_7_5_1
e_1_2_7_4_1
e_1_2_7_3_1
R Core Team (e_1_2_7_21_1) 2022
e_1_2_7_9_1
e_1_2_7_8_1
e_1_2_7_7_1
e_1_2_7_19_1
e_1_2_7_18_1
e_1_2_7_17_1
e_1_2_7_16_1
e_1_2_7_40_1
e_1_2_7_2_1
e_1_2_7_15_1
e_1_2_7_41_1
e_1_2_7_14_1
e_1_2_7_13_1
e_1_2_7_12_1
e_1_2_7_11_1
e_1_2_7_10_1
e_1_2_7_26_1
e_1_2_7_27_1
e_1_2_7_28_1
e_1_2_7_29_1
Therneau TM (e_1_2_7_24_1) 2022
Therneau TM (e_1_2_7_22_1) 2022
e_1_2_7_30_1
e_1_2_7_25_1
e_1_2_7_31_1
e_1_2_7_32_1
e_1_2_7_23_1
e_1_2_7_33_1
e_1_2_7_34_1
e_1_2_7_35_1
e_1_2_7_20_1
e_1_2_7_36_1
e_1_2_7_37_1
e_1_2_7_38_1
e_1_2_7_39_1
References_xml – ident: e_1_2_7_9_1
  doi: 10.1186/s13075-017-1306-0
– ident: e_1_2_7_20_1
  doi: 10.2215/CJN.01070118
– ident: e_1_2_7_10_1
  doi: 10.1016/j.clim.2006.08.009
– volume-title: R package ‘coxme’: version 2.2‐18.1
  year: 2022
  ident: e_1_2_7_24_1
– ident: e_1_2_7_12_1
  doi: 10.1007/s12016-007-8015-4
– ident: e_1_2_7_37_1
  doi: 10.1093/ndt/gfac110.001
– volume-title: R: a language and environment for statistical computing
  year: 2022
  ident: e_1_2_7_21_1
– year: 2022
  ident: e_1_2_7_22_1
  article-title: R survival package
  publication-title: R Core Team.
– ident: e_1_2_7_30_1
  doi: 10.1002/art.41773
– ident: e_1_2_7_31_1
  doi: 10.1093/rheumatology/keac024
– ident: e_1_2_7_28_1
  doi: 10.1007/s40259-019-00376-z
– ident: e_1_2_7_33_1
  doi: 10.1038/s41584-020-00540-8
– ident: e_1_2_7_34_1
  doi: 10.1212/NXI.0000000000000463
– ident: e_1_2_7_19_1
  doi: 10.7326/0003-4819-150-9-200905050-00006
– ident: e_1_2_7_27_1
  doi: 10.1016/j.ejim.2020.12.006
– ident: e_1_2_7_23_1
  doi: 10.18637/jss.v036.i02
– ident: e_1_2_7_14_1
  doi: 10.1371/journal.pone.0037626
– ident: e_1_2_7_38_1
  doi: 10.1001/jama.2021.6615
– ident: e_1_2_7_5_1
  doi: 10.1007/s10875-012-9813-x
– ident: e_1_2_7_36_1
  doi: 10.1111/ene.15312
– ident: e_1_2_7_7_1
  doi: 10.1186/s12879-022-07722-7
– ident: e_1_2_7_16_1
  doi: 10.3899/jrheum.090856
– ident: e_1_2_7_17_1
  doi: 10.1136/ard.2011.153601
– ident: e_1_2_7_13_1
  doi: 10.1016/j.clml.2012.11.011
– ident: e_1_2_7_18_1
  doi: 10.1164/rccm.200507-1144OC
– ident: e_1_2_7_4_1
  doi: 10.1080/10428190701411441
– ident: e_1_2_7_2_1
  doi: 10.1038/nri1838
– ident: e_1_2_7_15_1
  doi: 10.1093/rheumatology/kel393
– ident: e_1_2_7_41_1
  doi: 10.1097/MEG.0b013e32834233a2
– ident: e_1_2_7_26_1
  doi: 10.1093/rheumatology/kez152
– ident: e_1_2_7_11_1
  doi: 10.1002/art.21617
– ident: e_1_2_7_39_1
  doi: 10.1056/NEJMoa0909905
– ident: e_1_2_7_3_1
  doi: 10.1007/s11926-021-01037-3
– ident: e_1_2_7_25_1
  doi: 10.32614/RJ-2017-066
– ident: e_1_2_7_8_1
  doi: 10.1002/art.22019
– ident: e_1_2_7_29_1
  doi: 10.1093/rheumatology/keaa234
– ident: e_1_2_7_6_1
  doi: 10.1136/annrheumdis-2021-220604
– ident: e_1_2_7_35_1
  doi: 10.3389/fimmu.2021.803175
– ident: e_1_2_7_40_1
  doi: 10.1371/journal.pone.0155218
– ident: e_1_2_7_32_1
  doi: 10.1007/s10067-019-04443-2
SSID ssj0000970605
Score 2.4850543
Snippet Effective B-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases....
ObjectiveB‐cell depletion using the anti‐CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B‐cell...
B-cell depletion using the anti-CD20 monoclonal antibody rituximab is a cornerstone in the therapeutic concept of multiple autoimmune diseases. B-cell...
SourceID proquest
pubmed
crossref
SourceType Aggregation Database
Index Database
Enrichment Source
StartPage 2045
SubjectTerms Age
Antineutrophil cytoplasmic antibodies
Autoimmune diseases
Azathioprine
CD20 antigen
Corticoids
Corticosteroids
Cyclophosphamide
Cyclosporins
Depletion
Dosage
Health risks
Hydroxychloroquine
Immunosuppression
Immunotherapy
Kidneys
Kinetics
Methotrexate
Monoclonal antibodies
Mycophenolate mofetil
Mycophenolic acid
Observational studies
Regression analysis
Regression models
Repopulation
Risk management
Rituximab
Steroids
Tacrolimus
Transplantation
Vasculitis
Title Identification of Covariates Modulating B‐Cell Repopulation Kinetics in Subjects Receiving Rituximab Treatment
URI https://www.ncbi.nlm.nih.gov/pubmed/37276446
https://www.proquest.com/docview/2883539921
https://www.proquest.com/docview/2823040401
Volume 75
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bb9MwFLbKkBAviDvdBjKIB6QqJRfn9tgNUFkZD9CJvUWJY9OyNanaBCGe-An8Hf4Ov4Rz7MTNoEgDVbIqx27ani_n5nMh5GnIpC-zMLBYzJjFHOCDsetLC4RN7klbBlwliR2_DcYn7OjUP-31fnSiluoqG_KvW_NK_oeqMAd0xSzZf6Cs-VCYgPdAXxiBwjBeisY6y1Y2bjcVWVF-BuMX9UfscqZacxUfBwcmpOEQXXWodLdtuwYTUDNVqeZ5gVzkk4ruAGVSzJWr4d28qr_MF2k2mLYh6V19drSqZqoskoLQaiZq0IB1WSdQXcdlVp6JJqPraNjxOnwQ57ovXydASU2vlajQSvWb-mxzaZIul5qlYUq3ESbv-WyVLhZt2lG9HoyGXU-G6zUpfYbhgXIXWKBR6inRmXNtv8uxda-VFplOl__aujhlI8thn7dVTui6s0C4IVbk9zfCsA0A-E1GmshFXeXZTWBrorZeIVddsFCwecaL1xPj3rNjLEvkq9aGza9q61rZ7nNz44va0F9MHKXqTG-SG42NQkcacLdITxS3ybXjJgrjDllexB0tJd3gjm5wRw9-fvuOiKNdxNEWcXRe0BZx1CCOGsRRg7i75OTVy-nh2Go6d1jcY1Fl8Uy4DnOkJx3OOHodJBchnijD6IkID5sd7DAtZBhlYZw7OQfTG3stiNwNpXeP7BRlIR4Q6kZ56Gc8wMKVDNheKiIeOix1chlnXiD75Fn7Dya8KWuP3VXOkz9I1SdPzNKlruWybdF-S4akedTXCbbkViWcnT55bC4DI8bTtbQQZY1r8HwFXrDmviafuYsHVgIYHsHuZb7BHrm-eTr2yU61qsVD0Hyr7JHC2C-5Na_2
linkProvider Flying Publisher
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Identification+of+Covariates+Modulating+B%E2%80%90Cell+Repopulation+Kinetics+in+Subjects+Receiving+Rituximab+Treatment&rft.jtitle=Arthritis+%26+rheumatology+%28Hoboken%2C+N.J.%29&rft.au=Welte%2C+Thomas&rft.au=Westermann%2C+Lukas&rft.au=Kappes%2C+Julia&rft.au=Schramm%2C+Markus+A.&rft.date=2023-11-01&rft.issn=2326-5191&rft.eissn=2326-5205&rft.volume=75&rft.issue=11&rft.spage=2045&rft.epage=2053&rft_id=info:doi/10.1002%2Fart.42625&rft.externalDBID=n%2Fa&rft.externalDocID=10_1002_art_42625
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2326-5191&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2326-5191&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2326-5191&client=summon