Evaluation of SnIII parameters as outcome measures of multiple breath washout (MBW) in preschool children with cystic fibrosis
Bibliographic record
Abstract
Scond and Sacin are alternative MBW indices that reflect regional variations in ventilation homogeneity. Verger et al (2020) suggest the use of Scond* and Sacin*, measured from the second breath to 3-TO, in subjects with LCI ≥9 to account for the plateau effect in normalized phase III slopes (SnIII) associated with high ventilation inhomogeneity. Further validation in preschool children with cystic fibrosis (CF) is required. We retrospectively analyzed data collected as part of a longitudinal observational study in preschool age children, where MBW (Exhalyzer® D, EcoMedics AG) was performed at all study visits, to assess SnIII parameters (Scond, Sacin, Scond* and Sacin*). To date, 38 (19 HC; 19 CF) participants have been analyzed (mean age 5 years, SD 0.8). Breath-by-breath quality control was performed per the ERS/ATS consensus statements for inert gas washout (Robinson et al 2013, 2018). Scond and Sacin were acceptable in 79% (30/38) of preschool children, similar to previously reported feasibility. Our results suggest that Scond, Scond*, Sacin and Sacin* differentiate health and disease (p<0.05, paired t test) in early CF disease. Further analysis of this large, longitudinal dataset to determine how these parameters track over time is ongoing. Funded by NHLBI.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".