PREVALENCE OF CLINICAL AND SELF-REPORTED DIAGNOSES OF DEPRESSION AND ANXIETY IN PATIENTS WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS
Notice bibliographique
Résumé
PV168 / #462 Poster Topic: AS18 - Pediatric SLE Background/Purpose Symptoms of depression and anxiety are common among patients with childhood-onset systemic lupus erythematosus (cSLE). In recent years, screening for depression and anxiety using validated self-report tools is increasingly part of routine clinical care. Comparing prevalence of mood disorders over time amid evolving perspectives on mental health requires retrospective chart review. However, identifying patients with depression and anxiety by retrospective chart review is challenging and requires consideration of both clinical documentation and patient-reported symptoms. This study aims to investigate the prevalence of clinical and self-reported diagnoses of depression and anxiety among children and adolescents diagnosed and followed for cSLE in the SickKids Lupus Clinic, using retrospective clinical chart review and self-report screening tools. Methods We completed a retrospective study of children and adolescents aged ≤ 18 years seen in a tertiary care Lupus Clinic between January 1, 2000, to December 31, 2023. All patients met ≥4 American College of Rheumatology (ACR) and/or Systemic Lupus International Collaborative Clinics (SLICC) criteria for SLE with data prospectively collected in a dedicated Lupus database. Additional information such as age of SLE diagnosis, sex, ancestry, and disease activity were extracted from the database. Symptoms and diagnoses of depression and/or anxiety and use of psychotropic medication, before and after cSLE diagnosis, were extracted from clinical charts in ChartMaxx and EPIC. We identified patients with depression and/or anxiety as those with medical chart documentation of 1) a diagnosis and 2) persistent depression and/or anxiety symptoms over a course of at least 2 months. Self-reported depression and anxiety were identified by the Children’s Depressive Inventory (CDI, CDI-2) and Multidimensional Anxiety Scale for Children (MASC, MASC-2), completed as clinical screening measures for patients seen by psychiatry. We classified individuals as positive for self-reported depression based on a total score >13 on the CDI and CDI-2, and for self-reported anxiety based on a total score >60 on the MASC and MASC-2, appropriate for referral to mental health services. We included patients who completed at least 1 self-report screen for depression or anxiety and retained the most severe score in analyses. Descriptive statistics were used for cohort demographics and cSLE features. Results We reviewed 491 patient clinical charts and identified 135 patients who completed at least 1 self-report questionnaire. The majority were females (86%) and the median age of cSLE diagnosis was 13 years (IQR 12-15) (Table 1). Most patients were of European (33%) and East Asian (24%) ancestry. The majority of patients completed the CDI (64%) and/or the MASC (25%), followed by MASC-2 (6%) and/or CDI-2 (5%) (Table 2). Of the 93 patients who completed a self-report screen for depression, 41 (44%) screened positive for depression; the majority who screened positive (68%) did not receive a diagnosis of depression (Table 3). Of the 42 patients who completed a self-report screen for anxiety, 18 (43%) screened positive for anxiety; the majority who screened positive (55%) did not receive a diagnosis of anxiety. Psychotropic medication was initiated in 34% of patients after screening positive for depression and/or anxiety. Table 1. Demographic and clinical features of reviewed cSLE cohort (n = 135) Table 2. Number of patients who completed the CDI, CDI-2, MASC, and/or MASC-2 Table 3. Number of patients who screened positive for depression on the CDI or CDI-2, and/or anxiety on the MASC or MASC-2 Conclusions We found self-reported depression and anxiety to be prevalent among youth with cSLE. Future directions include examining scores for the Patient Health Questionnaire-4 (PHQ-4), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder 7-item scale (GAD-7). Concordance between clinical diagnosis and self-reported depression and anxiety will be assessed using chi-square statistics for categorical values and Wilcoxon rank-sum test for continuous variables.
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 | 0,000 |
| 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 | 0,000 |
| 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 ».