Hypoxic respiratory failure: ventilation and chest wall inspiratory muscle function in severe COPD
Bibliographic record
Abstract
Background: Type 1 respiratory failure is hypoxia with PaO2 < 60mmHg without hypercapnia in patients with respiratory distress. To elucidate the impact of hypoxic respiratory failure in severe COPD, we examined ventilation and respiratory muscle function during sustained hypoxia. Methods: Fine-wire EMG was implanted in parasternal intercostal (PARA) muscles of severe COPD (N=7, FEV1 0.87L 32%pred). We measured airflow, SpO2, ETCO2 and PARA EMG activity during room air followed by 20 min isocapnic hypoxia (SpO2 ~80%). We report 4 min room air (BASE), sustained hypoxia: 2 min after reaching SpO2 80% (PEAK) and final 4 min (PLATEAU), and 4 min room air (RECOVERY). Results: Minute ventilation (VI) increased from BASE-PEAK then decreased to PLATEAU (p<0.01). Changes in VI were related to tidal volume and mean inspiratory flow (p<0.05), without changes in respiratory timing. Peak PARA EMG showed marked increase from BASE-PEAK followed by significant decline with sustained hypoxia (p<0.05). Conclusions: In severe COPD, hypoxic respiratory failure elicited a transient and fleeting ventilatory pattern with marked depression in breathing with sustained hypoxia. Significant recruitment of chest wall muscle was noted during acute hypoxia, however, abated in a temporal manner with sustained desaturation. Loss of ventilation and chest wall respiratory muscles poses a risk of hypoxic respiratory deterioration in severe COPD. erj;64/suppl_68/PA1668/F1 F1 F1
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".