Abstract 9979: Health-Related Quality of Life in Children With Marfan Syndrome
Bibliographic record
Abstract
Background: Marfan syndrome (MFS) is an autosomal dominant disorder that affects the heart, aorta, eyes, skeleton, lungs, and other organs. Objective: To assess quality of life (QL) in a large multicenter cohort of children with MFS. Methods: The Pediatric Quality of Life Inventory (PedsQL) was administered to 256 subjects with MFS ages 5-18 years as an ancillary study to the Pediatric Heart Network’s Marfan Trial, which compared the effects of atenolol vs. losartan on aortic root growth. PedsQL scores were compared to population norms by one-sample t-tests. Scores > 1 SD below the population sample mean represent at-risk status for impaired health-related QL. The impact of treatment arm (atenolol vs. losartan), severity of clinical features, and patient-reported symptoms on QL was assessed by general linear models. Results: The subjects had a mean age of 11.8±3.9 years and were 62% male, 84% white, and 88% non-Hispanic. Mean PedsQL scores for MFS subjects were significantly lower than population norms. Overall, scores were in the impaired range for physical QL and psychosocial QL in 34% and 27% of subjects, respectively. QL across multiple domains correlated negatively with frequency of patient-reported symptoms (r=0.32-0.40, p<.0001). Subjects with a reported neurodevelopmental disorder (mainly learning disability, attention deficit disorder, and/or hyperactivity) had lower mean QL scores (5.5-7.4 lower, p<.04). There were no significant differences in QL scores between treatment arms. We found no significant association between QL and aortic root z-score, extent of skeletal involvement, or presence of ectopia lentis. Conclusions: Children with MFS are at risk for impaired QL. Higher number of patient-reported symptoms had the greatest negative impact on QL, rather than treatment arm or severity of cardiac, skeletal, or ocular findings. Future interventions to address patient symptoms and neurodevelopmental disorders could improve QL for children with MFS.
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".