Disease severity impacts perceived quality of life in congenital diaphragmatic hernia: a prospective observational study
Bibliographic record
Abstract
BACKGROUND: While research indicates comparable quality of life (QOL) in congenital diaphragmatic hernia (CDH) and healthy populations, the effect of CDH severity on patients' health perceptions remains unexplored. We aimed to assess QOL perception in CDH, hypothesising a decline correlated with increased disease severity. METHODS: In this prospective observational study, we analysed patients with CDH aged 5 years and above participating in a longitudinal outpatient programme. We excluded bilateral CDH, genetic/syndromic conditions, prematurity and late diagnosis. Participants self-administered the age-adapted Pediatric Quality of Life Inventory (PedsQL) survey, covering four domains (physical, emotional, social, school). After enrolment, data were collected blind to severity status (larger defects denoting significant/'severe' disease). Repeated measurements were managed using a random mixed-effects model. RESULTS: Of 34 participants (50% males) who completed the PedsQL, 10 provided measurements at two visits. Eight required a patch (type C), while 26 had primary repairs (type A=8; type B=18). Age at first evaluation was comparable across groups (no patch: median 11 (7-16), patch: 13 (8-15) years, p=0.78). Severe CDH correlated significantly with lower PedsQL scores (adjusted β: -18%, 95% CI -28%; -7%, adjusted for age at visit and sex). Lower scores specifically occurred in walking, exercising, social and academic functioning. CONCLUSION: Severe CDH significantly lowers QOL. This finding is crucial for resource allocation in long-term CDH health surveillance and advocates for regular inclusion of patient experiences in quality improvement efforts.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".