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327. LONG-TERM SAFETY OF RITUXIMAB IN GRANULOMATOSIS WITH POLYANGIITIS OR MICROSCOPIC POLYANGIITIS: RESULTS OF THE FOUR-YEAR RITUXIMAB IN ANCA-ASSOCIATED VASCULITIS REGISTRY

2019· article· en· W2927535653 on OpenAlexaff
John L. Niles, Peter A. Merkel, Lester E. Mertz, Patricia B. Lehane, Pooneh Pordeli, Félix Erblang

Bibliographic record

VenueLara D. Veeken · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsRoche (Canada)
Fundersnot available
KeywordsMedicineRituximabGranulomatosis with polyangiitisMicroscopic polyangiitisANCA-Associated VasculitisVasculitisDermatologyPathologyLymphomaDisease

Abstract

fetched live from OpenAlex

Background: Potential therapy-related toxicities are important causes of morbidity in patients with the ANCA-associated vasculitides granulomatosis with polyangiitis (GPA) or microscopic polyangiitis (MPA). Long-term safety studies of rituximab in GPA/MPA are limited. Methods: Analysis of RaVeR (NCT01613599), an open-label real-world study of adult patients with GPA or MPA receiving rituximab (dosing regimen determined by treating physician according to standard practice and discretion), was conducted after ⩽4 years of observation or until withdrawal of consent, loss to follow-up or death. Adverse events (AEs) of interest included serious AEs (SAEs), serious infection events (SIEs), infusion- related reactions (IRR), serious cardiac or vascular events and malignancies. Crude incidence rates and 95% CI were calculated. Results: A total of 97 patients (338 patient-years [PYs]; median age 58.0 years; mean [SD] baseline VDI 2.0 [2.7]) received rituximab (mean of 8 infusions [range 1-28]). Median duration on study was 3.94 (range 0.05-4.32) yrs. 74% of patients completed the study. 91% of patients were ANCA-positive and 74% had GPA. 20% were receiving rituximab plus cyclophosphamide at baseline. During the study, 38 patients had 94 SAEs, 14 had 24 SIEs, and 10 had 17 serious cardiac events, most of which were arrhythmias (described in the existing label for rituximab; Table). Six patients had 8 serious vascular events and 3 patients had malignancy-related events. There were no serious IRRs or SAEs within 24 hours of rituximab infusion. There were 9 deaths; none were considered by the treating physician to be related to rituximab. Causes of death included septic shock, interstitial lung disease, congestive heart failure, cardio-respiratory arrest, lung adenocarcinoma and 4 of unknown etiology. The severe disease flare (worsening disease activity prompting treatment) rate was 4.44/100 PYs (95% CI: 2.49-7.33). Among patients who received rituximab repeat treatment, the rates of SAEs (23.90/100 PYs) and SIEs (6.07/100 PYs) were not increased compared with the overall cohort. Conclusion: In this cohort study there were no new safety findings related to the use of rituximab for GPA or MPA, and rates for any AE, including SIEs, cardiovascular events, malignancies, or fatal AEs did not increase over time with repeated infusions of rituximab. These results are consistent with the known safety profile of rituximab in GPA and MPA and in other autoimmune diseases for which rituximab is approved. RaVeR provides clinicians with long-term, practice-level safety data. Disclosures: J. Niles: grant/research support: ChemoCentryx; P. Merkel: Grant/research support: Boeringher-Ingelheim, Bristol-Meyers Squibb, ChemoCentryx, Genentech/Roche, GlaxoSmithKline, Kypha TerumoBCT; consultant: AbbVie, Biogen, Boeringher-Ingelheim, Celgene, ChemoCentryx, Genentech/Roche, GlaxoSmithKline, InflaRx, Insmed, Kiniksa, Medimmune/AstraZeneca, Sanofi ; L Mertz: non declared; P. Pordeli: Employee of Roche Products Ltd; P. Lehane: Employee of Roche Products Ltd.; F. Erblang: Employee of: F. Hoffman-La Roche, Ltd. This study was funded by Genentech, Inc. Observed Adverse Events of Interest Among Patients with Granulomatosis with Polyangiitis or Microscopic Polyangiitis Receiving Rituximab IR = incidence rate; PY = patient year; CI = confidence interval; SAE = serious adverse event.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.238
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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