The association of neonatal respiratory distress with ciliary ultrastructure and genotype in primary ciliary dyskinesia
Bibliographic record
Abstract
Objective: To evaluate the relationship between ciliary ultrastructure/genotype and prevalence of neonatal respiratory distress in primary ciliary dyskinesia (PCD). Study Design: This was a retrospective analysis from a multicenter, prospective study of children and adults with PCD. Participants were classified by ultrastructural defect associated with their diagnostic genetic variants: 1) outer dynein arm defect alone (ODA), 2) outer plus inner dynein arm defect (ODA/IDA), 3) inner dynein arm defect with microtubular disorganization (IDA/MTD), 4) DNAH11 (encodes ODA protein but has normal ultrastructure), and 5) normal/near normal/other. The likelihood of neonatal respiratory distress between ultrastructure groups or genotypes was evaluated by multivariate analysis using logistic regression, controlled for age, gender, race, and variant type. Similar analysis was performed within individual genotypes to assess association of neonatal respiratory distress with the presence of 2 loss-of-function variants. Results: Of the 455 participants analyzed, 305 (67.0%) reported neonatal respiratory distress. The odds ratio for neonatal respiratory distress in the DNAH11 group was significantly lower (OR 0.35, 95% CI 0.16-0.76) compared to neonatal respiratory distress in the ODA group. Within the DNAH5 group, those with 2 loss-of-function variants were more likely to have neonatal respiratory distress compared to those with possible residual function variants (OR 3.06, 95% CI 1.33-7). Conclusion: Neonatal respiratory distress is less common in those with DNAH11 variants, thus a high index of suspicion should remain for PCD in the absence of neonatal respiratory distress.
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 | 0.007 |
| 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 | 0.001 | 0.000 |
| 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".