Association of Health‐Related Quality of Life in Childhood‐Onset Systemic Lupus Erythematosus With Ethnicity: Results From a Multiethnic Multicenter Canadian Cohort
Bibliographic record
Abstract
OBJECTIVE: To evaluate the influence of ethnicity on self-reported health-related quality of life (HRQOL) in the Canadian childhood-onset systemic lupus erythematosus (cSLE) population. METHODS: Patients with cSLE at 4 pediatric centers were consecutively enrolled. Sociodemographics and multiple disease activity measures were collected. The Child Health Questionnaire (CHQ) was administered and analyzed by ethnicity. RESULTS: We enrolled 213 cSLE patients, and complete data from 196 patients with the following ethnicities were analyzed: white (33%), Asian (32%), South Asian (16%), African American (11%), Latino/Hispanic (5%), and Aboriginal (4%). Compared to healthy children, cSLE patients rated their HRQOL significantly more poorly in 9 of 10 individual domains, and in 4 of 10 domains when compared to a cohort of juvenile arthritis patients. Within the cSLE cohort, CHQ scores were lower in 5 of 10 domains in white patients versus nonwhite ethnicities (P < 0.05 for each). Physical summary scores were lower for white patients compared to the other ethnicities aggregated together (mean ± SD 46.0 ± 11.9 versus 50.4 ± 10.1; P = 0.009); however, psychosocial summary scores were similar among the groups (mean ± SD 40.5 ± 14.6 versus 42.8 ± 12.7; P = 0.26). Disease activity measures, including the Systemic Lupus Erythematosus Disease Activity Index 2000, the Systemic Lupus Activity Measure, Revised, and physician global visual analog scale, were similar across ethnicities. However, patient-reported Systemic Lupus Erythematosus Activity Questionnaire symptom scores were greater in patients of white ethnicity compared to those of Asian ethnicity (mean ± SD 8.2 ± 5.8 versus 4.5 ± 4.7; P = 0.004). CONCLUSION: The self- and parent-reported health status of Canadian cSLE patients differed across ethnicities, with white patients reporting lower HRQOL despite similar and overall low disease activity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".