Association of Neonatal Hospital Length of Stay with Lung Function in Primary Ciliary Dyskinesia
Bibliographic record
Abstract
Abstract Rationale Primary ciliary dyskinesia (PCD), an inherited lung disease, is characterized by abnormal ciliary function leading to progressive bronchiectasis. There is wide variability in respiratory disease severity at birth and later in life. Objectives To evaluate the association between neonatal hospital length of stay (neonatal-LOS) and supplemental oxygen duration (SuppO2) with lung function in pediatric PCD. We hypothesized that longer neonatal-LOS and SuppO2 are associated with worse lung function (i.e., forced expiratory volume in 1 second percent predicted [FEV1pp]). Methods We performed a secondary analysis of the Genetic Disorders of Mucociliary Clearance Consortium prospective longitudinal multicenter cohort study. Participants enrolled, during 2006–2011, were <19 years old with a confirmed PCD diagnosis and followed annually for 5 years. The exposure variables were neonatal-LOS and SuppO2, counted in days since birth. The outcome, FEV1pp, was measured annually by spirometry. The associations of neonatal-LOS and SuppO2 with FEV1pp were evaluated with a linear mixed-effects model with repeated measures and random intercepts, adjusted for age and ciliary ultrastructural defects. Results Included were 123 participants (male, 47%; mean enrollment age, 8.3 yr [range, 0 to 18 yr]) with 578 visits (median follow-up, 5 yr). The median neonatal-LOS was 9 d (range, 1 to 90 d), and median SuppO2 was 5 d (range, 0 to 180 d). Neonatal-LOS was associated with worse lung function (−0.27 FEV1pp/d [95% confidence interval, −0.53 to −0.01]; P = 0.04). SuppO2 was not associated with lung function. Conclusions Neonatal-LOS is associated with worse lung function in pediatric PCD, independent of age and ultrastructural defects. Future research on the mechanisms of neonatal respiratory distress and its management may help us understand the variability of lung health outcomes in PCD.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".