ADVERSE CHILDHOOD EXPERIENCES: PREVALENCE AND RELATIONSHIP TO DISEASE OUTCOMES IN CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS (CSLE)
Notice bibliographique
Résumé
O069 / #96 Topic:AS18 - Pediatric SLE ABSTRACT CONCURRENT SESSION 12: PEDIATRIC SLE – ADVANCES IN DISEASE OUTCOMES AND MENTAL HEALTH 24-05-2025 10:40 AM - 11:40 AM Background/Purpose Childhood-onset systemic lupus erythematosus (cSLE) is an autoimmune disease characterized by multiorgan inflammation, alongside high frequencies of mood disorders and cognitive impairment. Adverse Childhood Experiences (ACEs) quantify traumatic childhood events, which have been linked to altered immune response and increased chronic disease risk. Prior studies indicate that those with ≥ 4 ACEs, including adults with SLE, face higher risk of worse health outcomes. Limited research exists on ACEs in cSLE. We aimed to describe the prevalence of ACEs among cSLE patients and investigate associations with i) disease activity, ii) patient-reported outcome measures, and iii) self-reported executive function. Methods This cross-sectional study analyzed prospective data from cSLE patients aged 13-19 years at the time of assessment. The Pediatric ACEs and Related Life Events Screener (PEARLS) measured self-reported ACEs. Disease activity over the time since diagnosis was measured by the adjusted mean Systemic Lupus Erythematosus Disease Activity Index (SLEDAI-2K). The Patient Reported Outcomes Information System (PROMIS) Pediatric-37 Profile assessed patient-reported anxiety, depression, and fatigue. The Behavior Rating Inventory of Executive Function (BRIEF-2) Global Executive Composite score measured executive function. The frequency of ACEs types was tabulated, and patients were classified into high-risk (≥ 4 ACEs) and low-risk (≤ 3 ACEs) groups. Associations between ACEs risk group and the outcomes were examined using regression analyses with generalized linear models, adjusted for age. Results Of 48 cSLE patients (mean age 15.23 ± 1.87 years, 85% female), 73% reported at least 1 ACE, and 30% reported ≥ 4 ACEs (Table 1). The most common ACEs were caregiver verbal abuse, emotional neglect, and separation, as well as community violence (Figure 1). Being in the high-risk ACEs group compared to low risk, was significantly associated with worse scores for PROMIS anxiety (p<0.001), depression (p<0.001), and fatigue (p=0.001), alongside poorer executive function scores (p<0.001) (Figure 2). No significant associations were observed for disease activity (p=0.987). Table 1. Patient Demographics, Disease Characteristics, and Outcome Measures Figure 1. Self-Reported Adverse Childhood Experiences (ACEs) in Patients with cSLE: Frequency and Types Note. Figure 1 illustrates the distribution of 19 reported adverse childhood experiences (ACEs) types within our cSLE cohort (n=48). Among the total ACEs (n=134) self-reported on the patient PEARLS questionnaire, the most commonly reported ACEs were caregiver verbal abuse (n=18), community violence (n=14), emotional neglect (n=14), and caregiver separation/divorce (n=14). Figure 2. Relationship between ACEs and Self-Reported cSLE Outcomes Note. Figure 2 contains 4 sets of boxplots depicting differences in mean outcome scores between the high-risk and low-risk ACEs groups. Associations show beta coefficients, confidence intervals, and p-values from regression analyses. Regression analyses showed significant associations for worse PROMIS anxiety (p<0.001), depression (p<0.001), and fatigue (p=0.001) scores alongside poorer executive function (p<0.001) within the high-risk group. The p-value threshold used for significance was p<0.05. Acknowledgments: Lupus Research Alliance, U.S. Department of Defense Conclusions Within our cSLE cohort, ACEs were substantially prevalent, with almost a third of patients having experienced ≥ 4 ACEs. The high-risk group (≥ 4 ACEs) had significantly worse patient-reported outcomes across anxiety, depression, fatigue, and executive function. These results underscore the impact of ACEs on patient well-being, emphasizing the need for integrated medical and mental health care approaches. Future research should examine these associations within larger cohorts.
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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 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».