Multiple-Breath Washout Outcome Measures in Adults with Bronchiectasis
Bibliographic record
Abstract
Abstract Rationale Lung clearance index (LCI) has good intravisit repeatability with better sensitivity in detecting lung disease on computed tomography scan compared with forced expiratory volume in 1 second (FEV1) in adults with bronchiectasis. Alternative multiple-breath washout parameters have not been systematically studied in bronchiectasis. Objectives To determine the validity, repeatability, sensitivity, specificity, and feasibility of standard LCI (LCI2.5), shortened LCI (LCI5.0), ventilation heterogeneity arising within proximal conducting airways (ScondVT), and ventilation heterogeneity arising within the acinar airways (SacinVT) in a cross-sectional observational cohort of adults with bronchiectasis. Methods Cross-sectional multiple-breath nitrogen washout data (Exhalyzer D; Eco Medics AG) from 132 patients with bronchiectasis across five United Kingdom centers (BronchUK Clinimetrics study) and 88 healthy control subjects were analyzed. Results Within-test repeatability (mean coefficient of variation) was <5% for both LCI2.5 and LCI5.0 in patients with bronchiectasis, and there was no difference in mean coefficient of variation for LCI2.5 and LCI5.0 in patients with bronchiectasis compared with healthy volunteers. Moderate-strength correlations were seen between FEV1 and LCI2.5 (r = −0.54), LCI5.0 (r = −0.53), ScondVT (r = −0.35), and SacinVT (r = −0.38) z-scores. The proportion of subjects with abnormal multiple-breath washout (z-score > 2) but in normal FEV1 (z-score < −2) was 42% (LCI2.5) and 36% (LCI5.0). Overall results from the receiver operating characteristic curve analysis indicated that LCI2.5 had the greatest combined sensitivity and specificity to discriminate between bronchiectasis and control subjects, followed by LCI5.0, FEV1, and ScondVT z-scores. There was a 57% time saving with LCI5.0. Conclusions LCI2.5 and LCI5.0 had good within-test repeatability and superior sensitivity compared with spirometry measures in differentiating between health and bronchiectasis disease. LCI5.0 is quicker and more feasible than LCI2.5. Clinical trial registered with www.clinicaltrials.gov (NCT 02468271).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".