STUDY OF ANTI-MALARIALS IN INCOMPLETE LUPUS – THE SMILE TRIAL
Notice bibliographique
Résumé
O056 / #121 Topic:AS23 - SLE-Diagnosis, Manifestations, & Outcomes ABSTRACT CONCURRENT SESSION 09: SLE THERAPY – REVISITING OLD DRUGS AND UNLOCKING HIDDEN POTENTIAL OF NEW MEDICATIONS 24-05-2025 10:40 AM - 11:40 AM Background/Purpose Patients with features of systemic lupus erythematosus (SLE) who do not have sufficient criteria to be classified can be designated as having incomplete lupus (ILE). This is a common condition seen in clinical practice and it has further significance as a group that has high risk of progression to SLE. Identification and treatment of those at risk has the potential to reduce the severity and incidence of SLE. Methods Based on previous studies, hydroxychloroquine (HCQ) was chosen as an intervention for a randomized, double-blind, placebo-controlled trial to determine whether the rate of accumulation of clinical and immunologic features of SLE as defined by the 2012 SLICC criteria could be reduced. ILE was defined as ANA positivity with one or 2 additional criteria from the SLICC 2012 list. Males and females 15 to 49 years of age were eligible for enrollment. After baseline evaluation including ophthalmologic exam, participants were randomized 1:1 to HCQ or placebo. Evaluations at 3-month intervals included clinical and laboratory measures as well as patient-reported outcomes (PROs). Treatment was continued for 24 months, but if SLICC criteria were satisfied sooner, patients exited the study. Ophthalmologic exams were carried out at conclusion of treatment. Results A total of 187 ILE patients were randomized at 7 sites in the USA. After excluding 7 patients found to have SLE criteria at baseline when pending laboratory data were completed, 180 patients were available for analysis; 92 were randomized to HCQ and 88 received placebo. The mean age was 33 years, 91.1% were female and 74.4% were White individuals. At randomization, 65.6% had 2 SLICC criteria; the remainder had 3 SLICC criteria. The most common manifestations involved skin and joints. SLE per criteria developed in 24 participants (13.3%) during the trial who were terminated early and 40 (22%) developed additional SLICC criteria. The primary outcome was the rate of acquisition of SLICC criteria analyzed via a generalized linear mixed-effects model, with an embedded ordinal logistic regression, comparing the changes over time for the 2 arms. This showed similar slopes in the 2 groups (P=0.72). The odds of progressing to a higher SLICC score relative to the previous score was 14% smaller for every 3-month increase in time for the HCQ group and 18% smaller for the placebo group, a difference which was not statistically significant (P=0.69). A key secondary outcome was time to progression to SLE. Using a Cox proportional hazards regression model, the hazard of progressing to SLE was 10% higher for the HCQ group than for placebo, which was not a statistically significant difference (P=0.81). Adverse events were similar in the 2 groups and no serious adverse events related to use of HCQ were recorded. Five individuals were excluded from entry due to abnormal ophthalmologic findings; none developed during the trial. Conclusions The SMILE results do not endorse the use of HCQ to prevent accumulation of SLICC SLE criteria. However, the definition of ILE used in SMILE does include individuals who are at risk for progressive disease and may be useful in future studies of preventive therapies. Other ongoing analyses will determine whether autoantibodies, inflammatory mediators or PROs were related to progressive illness or use of HCQ.
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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 ».