Adult outcomes of childhood bronchiectasis
Bibliographic record
Abstract
Recent literature has highlighted the importance of transition from paediatric to adult care for children with chronic conditions. Non-cystic fibrosis bronchiectasis is an important cause of respiratory morbidity in low-income countries and in indigenous children from affluent countries; however, there is little information about adult outcomes of childhood bronchiectasis. We reviewed the clinical course of 31 Alaska Native adults 20-40 years of age from Alaska's Yukon Kuskokwim Delta with childhood bronchiectasis. In patients with chronic suppurative lung disease, a diagnosis of bronchiectasis was made at a median age of 4.5 years by computerised tomography (68%), bronchogram (26%), and radiographs (6%). The patients had a median of 75 lifetime respiratory ambulatory visits and 4.5 hospitalisations. As children, 6 (19%) experienced developmental delay; as adults 9 (29%) experienced mental illness or handicap. Four (13%) patients were deceased, four (13%) had severe pulmonary impairment in adulthood, 17 (54%) had persistent or intermittent respiratory symptoms, and seven (23%) were asymptomatic. In adulthood, only five were seen by adult pulmonologists and most had no documentation of a bronchiectasis diagnosis. Lack of provider continuity, remote location and co-morbidities can contribute to increased adult morbidity. Improving the transition to adult care starting in adolescence and educating adult providers may improve care of adults with childhood bronchiectasis.
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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 | 0.000 |
| 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".