The use of non-invasive ventilation in paediatric lung transplantation
Bibliographic record
Abstract
Introduction: Progressive deterioration in paediatric patients (pts) with end-stage lung disease may result in diurnal hypoventilation. There are paucity of data describing polysomnography (PSG) & the benefits of Bilevel Positive Airway Pressure (BiPAP) therapy in these children. Aim: To evaluate cardiorespiratory data & gas exchange using PSG in children awaiting lung transplantation (LTx) prior to & after BIPAP therapy. Methods: Retrospective review of PSGs on these patients between 2005 & 2012 was performed. Change in cardiorespiratory parameters during PSG following BiPAP initiation was assessed & analysed using a paired t-test. Results: Of the 31 pts identified, 24 underwent LTx & 7 were on a wait list (WL). 13 were male pts with mean age of 12 years (9 to 15). 9 LTX and 3 WL pts had PSGs & 10 pts were on supplemental oxygen. 9 pts had cystic fibrosis, 2 had interstitial lung disease & 1 had pulmonary venous occlusive disease (PVOD). 10 pts had evidence of nocturnal hypoventilation in the absence of obstructive or central apneas & were initiated on BIPAP. After titration of BiPAP to optimal settings, there was a significant increase in mean SaO2 [91% (SD 2.4) to 96% (SD 0.9),p=0.0001], decrease in heart rate [111 (SD 18.3) to 96 (SD 15) beats per minute, p=0.02], respiratory rate [35 (SD 5) to 28 (SD 6) breaths per minute, p=0.003] and transcutaneous carbon dioxide recordings [74 (SD17) to 67 (SD 14) mmHg, p=0.006] from baseline. Conclusion: All pts had significant nocturnal hypoventilation with improved clinical parameters & gas exchange abnormalities following BiPAP. Further research is needed to assess the role of PSG & BIPAP therapy as a bridge to transplant in children with severe chronic lung disease.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".