COMPARING PERFORMANCE-BASED MEASURES AND SELF-REPORTED QUESTIONNAIRES FOR ASSESSMENT OF EXECUTIVE FUNCTION FOR YOUTH WITH CHILDHOOD-ONSET SYSTEMIC LUPUS ERYTHEMATOSUS
Bibliographic record
Abstract
PV162 / #428 Poster Topic: AS18 - Pediatric SLE Background/Purpose Executive dysfunction is common in childhood-onset systemic lupus erythematosus (cSLE). Comprehensive neuropsychological assessments use both performance-based measures and standardized questionnaires, capturing different cognitive constructs. However, comprehensive assessments are time-consuming, resource-intensive, and often inaccessible. Standardized questionnaires measuring self-rated daily executive function (EF), are brief and easy to administer, with potential clinical utility to identify patients needing comprehensive assessment. The study aimed to examine associations between performance-based measures and self-rating of daily EF in youth with cSLE. Methods This cross-sectional study analyzed prospectively collected data from cSLE patients (meeting ACR 1997 or SLICC classification criteria) aged 11-17 years recruited from an outpatient Lupus Clinic from January 2020–December 2023, and age and sex-matched healthy controls. Participants completed the Behaviour Rating Inventory of Executive Function 2nd Edition Self-Report Form (BRIEF-2-SR) assessing daily EF measured by the General Executive Composite (GEC), Behavior Regulation Index (BRI), Cognitive Regulation Index (CRI), and Emotion Regulation Index (ERI). The Delis-Kaplan Executive Function System (D-KEFS) Color-Word Interference Test (CWIT), a performance-based measure, assessed information processing speed (Color Naming, Word Reading), cognitive inhibition and flexibility (Inhibition, Inhibition/Switching). Correlations were calculated between the BRIEF-2-SR summary scores (GEC, BRI, CRI, and ERI) and scaled scores for performance in the 4 tasks of the D-KEFS CWIT. Mann-Whitney U tests were used to examine group differences in scores. Results There was a total of 58 cSLE participants (84% female; mean age=15.3y ± SD 1.7) and 47 controls (83% female; mean age=14.9y ± SD 1.9) (Table 1). For cSLE participants, worse performance-based scores for cognitive inhibition and flexibility showed statistically significantly correlations with worse self-rated daily EF scores for the GEC, BRI, and ERI (Figure 1). For controls, worse scores for cognitive inhibition and flexibility correlated with worse self-rated daily EF scores for GEC and CRI (Figure 1). Performance-based processing speed scores were not significantly associated with the BRIEF-2 scores in either group. No significant differences were found between cSLE and controls across BRIEF-2-SR indices. On the D-KEFS, cSLE participants displayed significantly poorer performance on Color Naming (U = 1027, p = 0.022), Inhibition (U = 1027, p = 0.021), and Inhibition/Switching (U = 1049, p = 0.030) compared to controls. Table 1. Demographics and Disease Characteristics Figure 1: Spearman Rho correlation matrices depicting the associations between BRIEF-2-SR (higher scores indicating worse executive function) and D-KEFS (lower scores indicating worse executive function) measures for childhood-onset systemic lupus erythematosus (cSLE) participants and controls. * Denotes significance (p < 0.05) Conclusions Youth with cSLE in this cohort had worse performance-based EF measures compared to controls. Performance-based scores for cognitive inhibition and flexibility correlated with self-rated daily EF scores in both groups, but more consistently across indices in the cSLE group. Further study is needed to determine the utility of questionnaires for self-rated daily EF as efficient screening tools to identify cSLE patients needing comprehensive neuropsychological assessment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".