The Impact of Age of Diagnosis in Children with Primary Ciliary Dyskinesia
Bibliographic record
Abstract
Abstract Rationale The typical symptoms of primary ciliary dyskinesia (PCD) manifest after birth and in early infancy, but diagnosis is often not confirmed during infancy. There is currently a lack of evidence in PCD regarding the impact of the age of the patient at the time of diagnosis on clinical outcomes. Objective To determine whether early diagnosis of PCD is related to improved long-term outcomes. Methods This was a retrospective study of patients diagnosed with PCD between 2000 and 2022. We divided our cohort into three groups according to the age at diagnosis: (1) early diagnosis (age <1 year), typical diagnosis (age 1–7 years), and late diagnosis (age 8–14 years). We compared various clinical long-term outcomes between the groups. Results During the study period, 110 patients were included in the analysis, with 41 patients in the early diagnosis group, 35 in the typical diagnosis group, and 34 in the late diagnosis group. Unexplained neonatal respiratory distress and organ laterality defect were more common in the early diagnosis group, with respective rates in the early, typical, and late diagnosis groups of 80%, 53%, and 61% for neonatal respiratory distress (P = 0.045) and 64%, 50%, and 18% for laterality defect (P < 0.001). At the end of the first decade of life, patients in the early and typical-age diagnosis groups had better forced expiratory volume in 1 second compared with the late diagnosis group (93.5% and 93.1% vs. 80.2%; P = 0.002), but there was no significant change in the annual rate of decline between the groups when diagnosis had been confirmed. Patients diagnosed late had significantly higher rates of pulmonary exacerbations than those diagnosed at a typical age (1.95 vs. 0.75 per year; P < 0.01) Conclusions Late diagnosis (age ≥8 years) was associated with lower forced expiratory volume in 1 second throughout childhood, although, once diagnosed, the annual rate of decline was not different. These findings demonstrate the negative effect of delayed diagnosis in pediatric PCD.
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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 | 0.007 |
| 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 | 0.001 |
| Open science | 0.000 | 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".