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COVID-19 IS ASSOCIATED WITH LUPUS FLARE AND PERSISTENT DISEASE ACTIVITY: LONGITUDINAL DATA FROM THE REUMACOV-BRAZIL REGISTER

2025· article· en· W4410513137 on OpenAlexvenueno aff
João Carvalho, Edgard Torres, Adriana María Kakehasi, Sandra Lúcia Euzébio Ribeiro, Samia Studart, Francielle Alline Martins, Rafaela Espírito Santo, Aline Ranzolin, Diana Campos Fernandino, Valquíria Garcia Dinis, Emília Inoue Sato, Gustavo Gomes Resende, Adriana de Oliveira Marinho, Henrique Ataíde Mariz, Nathalia Sacilotto, Francinne Machado Ribeiro, Samuel Katsuyuki Shinjo, Laiza Hombre Dias, Michel Alexandre Yazbek, Felipe Omura, Thiago HS Rached, Ana Paula Monteiro Gomides, Cláudia Marques, Gecilmara Salviato Pileggi, Lícia Maria Henrique da Mota, Marcelo Maia Pinheiro, Ricardo Machado Xavier, Odirlei André Monticielo, Gilda Aparecida Ferreira

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)Register (sociolinguistics)Systemic lupus erythematosus2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseaseFlarePandemicVirologyInternal medicineInfectious disease (medical specialty)Outbreak

Abstract

fetched live from OpenAlex

PV149 / #422 Poster Topic: AS17 - Miscellaneous Background/Purpose The study aimed to evaluate flares in systemic lupus erythematosus (SLE) patients over a period of 6 months after COVID-19. Methods A multicenter, observational, and prospective cohort study. SLE adult patients with COVID-19 (case group) were compared to SLE patients without COVID-19 (control group). Assessments were performed at baseline (V0), immediately after COVID-19 (V1), and 3 and 6 months after infection (V2 and V3). Disease activity was evaluated by patient global assessment (PGA) and the modified SLE Disease Activity Index 2000 (SLEDAI-2K). A flare was defined as an increase in SLEDAI-2K score greater than 3 and persistent disease activity was measured by SLEDAI-2K greater than 3 over 2 consecutive visits. Results 715 patients were included, 363 in the case group and 352 in the control group. The case group had a higher mean age (SD) compared with the control group [41 years (12.38) vs 38.8 years (12.07), p=0.017]. There were no differences between groups at baseline regarding sex, comorbidities, treatment, or disease activity scores. The control group showed a significant reduction in PGA [0.24 (95% CI: -0.39 to -0.09), p=0.001] and SLEDAI-2K [0.85 (95% CI: 0.76 to 0.96) p=0.010] throughout the visits while in the case group the scores remained stable. The frequency of new SLE manifestations was higher in the case group compared with patients in the control group at V2 [20 (9.4%) vs 5 (3.0%), p=0.012] and V3 [22 (9.6%) vs 4 (2.8%), p=0.012]. In the case group, 11 severe disease manifestations (nephritis, neurological, vasculitis, pneumonitis, and myositis) were described at V2 and eight at V3, while in the case group there was only severe disease manifestation (nephritis). Patients with COVID-19 were 3.7 (95% CI: 1.2 to 10.9) times more likely to have new SLE disease manifestations compared to patients without COVID-19. Case group presented more frequent flares or persistent disease activity [74 (18.5%) vs 33 (10.5%), p=0.001]. COVID-19 at any time in the study was linked to a higher chance of a flare and persistent disease activity [OR=1.70 (95% CI: 1.06 to 2.74), p=0.029]. Conclusions COVID-19 was associated with new SLE disease manifestations and worse outcomes (flares and persistent disease activity) in SLE patients. Acknowledgments: We thank the researchers involved in the centers participating in ReumaCoV-Brasil, the Brazilian Society of Rheumatology and the Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.100
GPT teacher head0.422
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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