Adolescent Health Care Needs and Relationship to Disease in Patients With <scp>Childhood‐Onset</scp> Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: Our objective was to characterize adolescent health and psychosocial issues in patients with childhood-onset systemic lupus erythematosus (cSLE) and evaluate demographic and disease characteristics associated with adolescent health. METHODS: We retrospectively examined adolescents aged 12 to 18 years with cSLE seen at the Hospital for Sick Children meeting the American College of Rheumatology/Systemic Lupus International Collaborating Clinics classification criteria, assessed by adolescent medicine in the cSLE clinic between 2018 and 2020. Adolescent health issues were characterized using the Home, Education/Employment, Activities, Diet/Drugs, Sexuality, Suicide/mood (HEADDSS) framework. Issues were classified as presenting and/or identified; adolescent health burden was tabulated as the number of distinct adolescent issues per patient. Multiple Poisson regression models examined associations between patient and disease characteristics (age, sex, material deprivation, disease activity, disease damage, and high-dose glucocorticoid exposure) and adolescent health issues. RESULTS: A total of 108 (60%) of 181 adolescents with cSLE were seen by adolescent medicine, with a median of 2 (interquartile range [IQR] 1-3) visits and a median of 2 (IQR 1-5) adolescent health issues during the study period. Common issues were mood (presenting in 21% vs identified in 50%), sleep (27% vs 2%), school and education (26% vs 1%), and nonadherence (23% vs 8%). Psychoeducation was provided by adolescent medicine to 54% of patients. High-dose glucocorticoids (risk ratio [RR] 1.82, 95% confidence interval [CI] 1.41-2.35, P < 0.001), material deprivation (RR 1.17, 95% CI 1.04-1.30, P = 0.007), and lower SLE Disease Activity Index scores (RR 0.95, 95% CI 0.92-0.98, P = 0.004) were associated with higher adolescent health burden. CONCLUSION: Adolescents with cSLE experience many adolescent issues, especially low mood. High-dose glucocorticoids and social marginalization are associated with greater adolescent health burden. This study highlights the importance of addressing adolescent health needs as part of routine care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".