CLINICAL MANIFESTATIONS OF SYSTEMIC LUPUS ERYTHEMATOSUS IN A RUSSIAN COHORT: FROM THE FIRST SYMPTOM TO FOLLOW-UP
Bibliographic record
Abstract
PV235 / #105 Poster Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes Background/Purpose The aim of this study was to analyze the phenotype of systemic lupus erythematosus (SLE) starting from the first manifestation and during follow-up since the diagnosis of SLE in a Caucasian cohort at the Russian rheumatology center Methods This observational retrospective-prospective study included 140 patients (88% women, median aged 34 [26;41] years (median [interquartile range 25;75%]), with SLE (SLICC 2012) attending a routine visit at our Clinic between February 2021 and June 2024. Results SLE was diagnosed at median age 26 [19;34] years, and the age of the first SLE manifestations was 23 [17;31] years, the period duration between the first symptoms and SLE diagnosis was 12 [5;48] months. The median disease duration at last follow-up was 3 [0,3;12] years, SLEDAI-2K at the time of inclusion – 8 [4;11] score, Systemic Lupus International Collaborating Clinics damage index (SDI) – 0 [0;1] score. The first symptoms of SLE were: inflammatory arthritis - 40%, cutaneous lupus-34%, hematological disorders - 6%, nephritis - 5%, serositis -1%, nervous system involvement-1%, mucosal ulcers - 1%. Among ‘non-criteria’ symptoms the most common were: unexplained fever - 6%, interstitial lung disease - 3%, lymphadenopathy - 2%, Raynaud’s phenomenon - 1%. During the period of follow-up of patients with diagnosed SLE, the frequency of clinical manifestations changed cumulatively: inflammatory arthritis - 92%, hematological disorders - 81%, cutaneous lupus - 77%, serositis - 46%, alopecia - 45%, nephritis - 44%, mucosal ulcers - 35%, nervous system involvement - 14%. Among ‘non-criteria’ symptoms the most common were: unexplained fever - 67%, lymphadenopathy - 42%, Raynaud’s phenomenon - 26%, interstitial lung disease - 13%, ulcerative necrotizing vasculitis - 11%, myocarditis - 2%. Conclusions The first SLE symptoms can be either criterion or “non-criterion” in accordance with SLICC 2012, the most common being arthritis/arthralgia, skin lesions and cytopenias. Nephritis, serositis and unmotivated fever were more common in the follow-up SLE period in our cohort, in contrast to other Caucasians.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".