10-YEAR ATHEROSCLEROTIC PLAQUE PROGRESSION AND INCIDENT CARDIOVASCULAR EVENTS IN SYSTEMIC LUPUS ERYTHEMATOSUS: THE IMPACT OF PERSISTENT CARDIOVASCULAR RISK FACTOR TARGET ATTAINMENT AND SUSTAINED DORIS REMISSION
Notice bibliographique
Résumé
O033 / #701 Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes ABSTRACT CONCURRENT SESSION 05: EMERGING INSIGHTS ON THE MANAGEMENT OF LUPUS MANIFESTATIONS AND COMORBIDITIES 23-05-2025 1:40 PM - 2:40 PM Background/Purpose Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in Systemic Lupus Erythematosus (SLE). The role of sustained cardiovascular risk factor (CVRF) control and minimal disease activity on clinical and subclinical atherosclerosis remains underexplored in SLE. We assessed the impact of persistent traditional CVRF target attainment and sustained minimal disease activity on atherosclerotic plaque progression and incident cardiovascular events in patients with SLE over a 10-year follow-up period. Methods We prospectively analyzed 738 carotid ultrasound measurements (413 in SLE patients and 325 in age/sex-matched healthy controls [HC]) to assess new plaque development from baseline to 3-, 7-, and 10-year follow-up assessments. Multivariate mixed-effects Poisson regression models examined potential predictors of plaque progression, including patient demographic characteristics, Systemic Coronary Risk Evaluation (SCORE), SCORE2, traditional cardiovascular risk factor (CVRF) target attainment as per the 2016 European Society of Cardiology guidelines, sustained achievement of Lupus Low Disease Activity State (LLDAS) and Definition of Remission in SLE (DORIS) clinical remission, cumulative glucocorticoid exposure, consistent hydroxychloroquine use, CVD-related medications, and persistent triple antiphospholipid antibody (aPL) positivity during the 10-year follow-up period. We assessed 10-year incident CVD events in SLE vs HC, and univariate Cox regression analysis examined potential associations. We evaluated the efficacy of carotid ultrasound in predicting CVD risk in the SLE cohort, comparing its performance to SCORE and SCORE2 alone. Results Patients with SLE had a 2.3-fold higher 10-year risk of carotid plaque progression than HC (Incidence Rate Ratio [IRR]: 2.26, 95% CI 1.34-3.81, p = 0.002) (Table 1, model A). The expected 10-year evolution of the number of carotid plaques was higher in SLE vs HC (Figure 1A). The risk of plaque progression in SLE patients was reduced by 32% (IRR: 0.68, 95% CI 0.53-0.89, p = 0.004) for each CVRF persistently on target during the 10-year follow-up, including blood pressure, lipids, smoking, body weight, and physical activity (Table 1, model B). DORIS achievement ≥ 75% of the follow-up period was associated with a 43% decrease in atherosclerotic plaque progression risk (IRR: 0.57, 95% CI 0.34-0.95, p = 0.033) (Table 1, Model B). The expected 10-year evolution of the number of carotid plaques was lower in patients with more persistently attained CVRF targets during follow-up (Figure 1B), and in those achieving DORIS remission ≥ 75% of follow-up vs those who did not (Figure 1C). Ten-year risk of incident cardiovascular events was higher in SLE than HC individuals (8 vs 1 event, permutation-based log-rank p = 0.036), and was associated with persistent triple aPL positivity. The incorporation of carotid ultrasound in CVD risk assessment in SLE patients tripled our ability to predict the 10-year risk for CVD events from 12.5% to 37.5%. Table 1. Multivariate mixed effects Poisson regression models of carotid plaque progression in SLF versus healthy controls (model A), and within SLE (model B) Figure 1. Expected 10-year evolution of the number of carotid plaques A) for typical SLE and healthy control (HCs). B) for typical SLE individuals with varying numbers of cardiovascular risk factor (CVRF) targets sustainedly attained, and C) for typical SLE individuals with versus without DORIS remission for ≥75% of follow-up *A) Typical individuals are SLE patients or HCs with baseline characteristic values (included in multivariate model 4A of plaque progression in SLE versus HCs) set at the median for quantitative and at the mode for qualitative variables: no use of antihypertensives, lipid-lowering agents or antiplatelets, SCORE 0.1. eGFR 111 mL/min/1.73 m 2 , no carotid plaques. B) Typical SLE individuals are patients with baseline characteristic values (included in multivariate model 5A of plaque progression in SLE) set at the median for quantitative and at the mode for qualitative variable: 43 years old, no use of antihypertensives, lipid-lowering agents, or antiplatelets, no DORIS remission ≥75% of follow-up. C) Typical SLE individuals are patients with baseline characteristic values (included in multivariate model 5A) set at the median for quantitative and at the mode for qualitative variables: 43 years old, no use of antihypertensives, lipid-lowering agents, or antiplatelets, and two CVRF targets sustainedly attained during the follow-up. Conclusions Patients with SLE experience a 2.3-fold higher 10-year atherosclerosis progression risk than HC, which is significantly mitigated by sustained CVRF control and prolonged clinical remission. Persistent triple aPL positivity is associated with increased incidence of CVD events in SLE. Carotid ultrasound may have an additive role in enhancing CVD risk assessment in patients with SLE.
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 | 0,006 |
| 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 | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».