Outcome of Noninvasive Respiratory Support in Pediatric High-Dependency Units for Acute Respiratory Distress
Bibliographic record
Abstract
BACKGROUND: Noninvasive respiratory support (NRS) is widely used in pediatric ICUs (PICUs). However, there is limited experience regarding the utilization of NRS in non-PICU settings. We aimed to evaluate the success rate of NRS in pediatric high-dependency units (PHDUs), identify predictors of NRS failure, quantify adverse events, and assess outcomes. METHODS: We included infants and children (> 7 d to < 13 y old) admitted to PHDU in 2 tertiary hospitals for acute respiratory distress over a 19-month period. Collected data included diagnosis, type and duration of NRS, adverse events, and the need for PICU transfer or invasive ventilation. RESULTS: Two hundred and ninety-nine children were included, with a median age of 7 (interquartile range [IQR] 3–25) months and a median weight of 6.1 (IQR 4.3–10.5) kg. Bronchiolitis (37.5%), pneumonia (34.1%), and asthma (12.7%) were the most frequent diagnoses. Median NRS duration was 2 (IQR 1–3) d. At baseline, median S pO 2 was 96% (IQR 90–99); median pH was 7.36 (IQR 7.31–7.41), and median P CO 2 was 44 (IQR 36–53) mm Hg. Overall, 234 (78.3%) children were successfully managed in PHDU, whereas 65 (21.7%) required transfer to PICU. Thirty-eight (12.7%) needed invasive ventilation on a median time of 43.5 (IQR 13.5–108.0) h. On multivariable analysis, maximum F IO 2 > 0.5 (odds ratio 4.49 [95% CI 1.36–14.9], P = .01) and PEEP > 7 cm H 2 O (odds ratio 3.37 [95% CI 1.49–7.61], P = .004) were predictors for NRS failure. Significant apnea, cardiopulmonary resuscitation, and air leak syndrome were reported in 0.3, 0.7, and 0.7% children, respectively. CONCLUSIONS: In our cohort, we found NRS in PHDU safe and effective; however, maximum F IO 2 > 0.5 post treatment and PEEP > 7 cm H 2 O were associated with NRS failure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".