Assessment of Quality of Life in Children with Chronic Urticaria Using the Children’s Dermatology Life Quality Questionnaire Index: A Retrospective Cohort Study
Bibliographic record
Abstract
Introduction: Chronic urticaria (CU) negatively impacts children's quality of life (QoL), yet data on pediatric CU remain limited. This study assessed CU's impact on QoL using the Children's Dermatology Life Quality Index (CDLQI). METHODS: Children (4-16 years) with CU were recruited and completed standardized questionnaires on demographics, CU type, management, and comorbidities. Chart review assessed laboratory data. Patients also completed the Urticaria Control Test (UCT), Urticaria Activity Score over 7 days (UAS7), and CDLQI at study entry. Multivariable logistic regression identified factors associated with clinically poor QoL. RESULTS: Seventy-four children (median age = 10) were recruited: 39 (52.7%) had chronic spontaneous urticaria, 21 (27.0%) had chronic inducible urticaria, and 14 (16.2%) had both. Most children (n = 54; 72.9%) reported a clinically satisfactory (CDLQI ≤5), while 20 (27.0%) reported a clinically poor QoL (CDLQI >5). Factors associated with clinically poor QoL included older age at symptom onset (aOR = 1.04; 95% CI = 1.01-1.05), elevated C-reactive protein (CRP >5 mg/L) (aOR = 1.49; 95% CI = 1.04-2.13), and history of atopic dermatitis (aOR = 1.59; 95% CI = 1.18-2.13). In younger children (aged 4-10), cold urticaria was associated with clinically poor QoL (aOR = 1.44; 95% CI = 1.07, 2.00). CONCLUSION: Older age at symptom onset, elevated CRP, atopic dermatitis, and cold urticaria are associated with clinically poor QoL in children with CU. These findings highlight the need for targeted interventions, such as psychosocial support and education, to improve patient outcomes. .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".