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LATE-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS : ABOUT 5 CASES.

2025· article· en· W4410513196 on OpenAlexvenueno aff
Ibtissam Habte, Meriem Benzakour, Leïla Barakat, Mourabit Safaa, K. Echchilali, M. Moudatir, H. El Kabli

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSystemic diseaseLupus erythematosusImmunopathologyConnective tissue diseaseDermatologyImmunologyAutoimmune diseaseAntibody

Abstract

fetched live from OpenAlex

PV203 / #609 Poster Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes Background/Purpose Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that usually affects young women in their third decade, but can occur at any age. SLE is said to have a late onset when the diagnosis is made at the age of 50 or over. Studies of this entity are few. The aim of our study was to investigate the clinico-biological, immunological, therapeutic and evolutionary features of late-onset SLE. Methods This is a monocentric, descriptive, retrospective study conducted in the internal medicine department of the university hospital center Ibn Rochd Casablanca including records of patients hospitalized for SLE (fulfilling SLICC 2012 and EULAR/ACR 2019 criteria) during the period between 2015 and 2024 and who were 50 years of age or older at the time of diagnosis. Results Our series included 5 lupus patients. They were 4 women and 1 man with a mean age at diagnosis of 58.6 years. The mean SLEDAI score was 17.8. The mean time to diagnosis was 10.4 months. Comorbidities were dominated by dyslipidemia (40%) and arterial hypertension (20%). Revealing manifestations of SLE were usually pure nephrotic syndrome, pericardial effusion and deep-vein thrombosis. Inflammatory polyarthralgia was the inaugural manifestation in 2 patients (40%), and Raynaud’s phenomenon in 2 patients (40%). In our series, the most frequent pathologies were renal, hematological and serositis. As regards the biological workup, all patients presented lymphopenia and proteinuria > 0.5 g/24h, a biological inflammatory syndrome and autoimmune hemolytic anemia (AIHA) were noted in 80% of cases, leukopenia in 60% and thrombocytopenia was observed in 40%. On the immunological front, antinuclear antibodies were positive in all patients. Anti-SSA and anti-SSB were positive in 40% and 20% of cases respectively. Anti-phospholipid and anti-nucleosome antibodies were positive in 40% of cases. Anti-DNAnative, anti-ribosome, anti-Sm and anti-histone antibodies were positive in 20% of cases, and complement consumption C3 and C4 was observed in a single patient. The association with another autoimmune disease (AID) was observed in 3 patients. One patient had an authentic Sjögren’s syndrome, another an antiphospholipid syndrome (APS) and the 3rd a combination of the 2. All our patients were treated with synthetic antimalarials and corticosteroids. Four of our patients were treated with immunosuppressants: cyclophosphamide was prescribed for 2 patients and azathioprine (AZA) for 2 patients. All showed a favorable course of treatment. Conclusions Late-onset SLE is most often characterized by an insidious onset and unspecific inaugural signs. It is a diagnosis that should not be dismissed, even after the age of 50. In our context, severe symptoms are often observed, contrary to what is described in the literature. This is because our climate is very sunny, which partly explains the severity of the disease. The presence of other autoimmune diseases is frequent. Treatment differs little from that of younger patients, and must also take into account the patient’s comorbidities. Early diagnosis and treatment guarantee a good outcome.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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 designCase report
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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Citations0
Published2025
Admission routes1
Has abstractyes

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