Pre and post‐<scp>COVID</scp> 19 infection pulmonary functions in children with chronic respiratory disease: A case series
Bibliographic record
Abstract
As functional respiratory impairment following COVID-19 infection (COVID-19) is increasingly reported in adult, data regarding children especially with pre-existing chronic respiratory disease (PCRD) remain scarce. We retrospectively assessed clinical presentation, duration of symptoms related to COVID-19 from paediatric patients with PCRD and compared their pre/post COVID-19-I spirometry values. Data from 12 patients were analysed. Timing between COVID-19 diagnosis and subsequent functional evaluation ranged from 26 to 209 days (mean 77). The PCRD in these patients included asthma, cystic fibrosis, bronchiolitis obliterans and bronchomalacia. During COVID-19, all clinical presentations were mild. One patient displayed persistent post-COVID-19 symptoms for 8 weeks after infection. Two patients presented significant deterioration of post-COVID-19 spirometric values with a return to pre-COVID-19 values in subsequent measures. We concluded that children with PCRD are not at increased risk for severe COVID disease and that most of them have no or only transient pulmonary functional impairment 1 to 7 months after COVID-19.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".