SEX DIFFERENCES IN SYSTEMIC LUPUS ERYTHEMATOSUS: A COMPREHENSIVE ANALYSIS OF CLINICAL AND TREATMENT DISPARATIES IN A MULTICENTER LONGITUDINAL COHORT
Notice bibliographique
Résumé
PV190 / #379 Poster Topic: AS22 - SLE Heterogeneity Background/Purpose Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with female predominance. Due to its lower prevalence in men, SLE is less well understood in male patients. This study aimed to examine disparities in clinical manifestations, treatment, and outcomes between female and male patients with SLE using data from a multicenter longitudinal cohort. Methods Prospectively collected data from a 13-country cohort were analyzed. Demographics, fulfillment of 1997 American College of Rheumatology (ACR) classification criteria, disease activity (SLEDAI-2K, flare), medications, lupus low disease activity state (LLDAS) and DORIS remission attainment, and SLICC/ ACR damage index (SDI) were compared between female and male patients using Chi-squared tests (categorical variables) and Kruskal-Wallis (continuous variables) tests. Results A total of 4,106 SLE patients were studied. 328 (8.0%) were male, who were more likely to be non-Asian (14.5% vs 10.8%, p=0.04), active smoker (22.3% vs 3.9%, p<0.01), have shorter disease duration (7.0 years vs 8.0 years, p=0.01), and live in countries with a high gross domestic product (GDP ≥ $50,000 per capita) (58.5% vs 48.2%, p<0.01) (Table 1). At study enrollment, disease activity (SLEDAI-2K 4.0 vs 4.0, p=0.86) was similar between male and female patients, while female patients had more frequent use of anti-malarials (78.7% vs 72.0%, p=0.01), mycophenolate mofetil (32.0% vs 22.6%, p<0.01), and cyclophosphamide (6.7% vs 4.1%, p=0.03) Organ damage (defined as SDI>0) was present in 43% of males and 37% of females (p=0.07) at study enrollment with more frequent damage in peripheral vascular domain observed in male patients (6.0% vs 2.7%, p<0.01). Over a follow-up duration of 2.5 (IQR 1.0-5.1) years, male patients were more likely to receive anti-malarial (86.3% vs 78.2%, p<0.01) and mycophenolate mofetil (43.0% vs 36.7%, p=0.03), but less likely to experience flares (46.6% vs 53.7%, p=0.02). The frequency of organ damage accrual (defined as increase in SDI≥1) and treat-to-target state attainment was similar between male and female patients (Table 1). Over 42,347 clinical visits, clinical disease activity (defined as clinical SLEDAI-2K>0) was observed in 16,804 (39.7%) visits (Figure 1). Male patients had more visits with active disease in renal domain (29.2% vs 22.3%, p<0.01), including patients without renal involvement at baseline (17.4% vs 10.1%, p<0.01). Visits with active disease in mucocutaneous domain (12.5% vs 11.3%, p=0.03) and vasculitis (0.9% vs 0.6%, p=0.04) were also more frequent among male patients. In contrast, female patients had more visits with activity in musculoskeletal (3.1% vs 4.5%, p<0.01) and hematological domain s(5.2% vs 6.3%, p=0.02). LLDAS was attained in 19441 (45.9%) visits overall. In clinical visits not in LLDAS, Pred >7.5 mg/D (51.7% vs 48.0%, p<0.01) and SLEDAI>4 (53.0% vs 49.4%, p<0.01) occurred more frequently among male patients. Renal activity was observed in over half (52.6% vs 44.2%, p<0.01) of non-LLDAS visits in male patients. Table 1: Clinical characteristics of the study cohort Figure 1: Disease activity by SLEDAI organ domains in 42,347 visits Conclusions Renal activity is more frequent in male patients with SLE, with males having more frequent clinical visits for active renal disease compared to females. Further studies are required to understand the mechanisms behind the differences between male and female SLE patients.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».