Validity of Bronchiolitis Outcome Measures
Bibliographic record
Abstract
BACKGROUND: The Respiratory Distress Assessment Instrument (RDAI) and Respiratory Assessment Change Score (RACS) are frequently used in bronchiolitis clinical trials, but evidence is limited on their measurement properties. We investigated their validity, reliability, and responsiveness. METHODS: We included data from up to 1765 infants with bronchiolitis enrolled in 2 studies conducted in pediatric emergency departments. We assessed RDAI construct validity by testing hypotheses of associations with physiologic measures (respiratory rate, oxygen saturation) and with constructs related to hospitalization, using correlation coefficients, and multivariable analysis. RDAI/RACS responsiveness was evaluated by using anchors of change based on these constructs; measures of responsiveness included the area under the curve. RDAI test-retest agreement and interrater reliability were evaluated by using limits of agreement and intraclass correlation coefficients. RESULTS: Baseline RDAI scores were weakly correlated with respiratory rate (r = 0.38, P < .001), and scores increased in lower oxygen saturation categories (P < .001). Higher RDAI scores were associated with hospitalization (odds ratio: 1.36; 95% confidence interval: 1.26-1.47); scores differed between participants who were discharged, admitted, or stayed in the emergency department (P < .001). Our hypotheses were met, but the magnitude of associations was below our predefined thresholds. RDAI test-retest limits of agreement were -3.80 to 3.64 (20% of the range), whereas interrater reliability was good (intraclass correlation coefficient = 0.93). Formulated hypotheses for responsiveness were confirmed, with moderate responsiveness (area under the curve: RDAI, 0.64-0.70; RACS, 0.72). CONCLUSIONS: RDAI has poor to moderate construct validity, with good discriminative properties but considerable test-retest measurement error. The RDAI and RACS are responsive measures of respiratory distress in bronchiolitis but do not encompass all determinants of disease severity.
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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 | 0.057 | 0.125 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".