Endobronchial Valves in Treatment of Persistent Air Leak: European Case-Series Study and Best Practice Recommendations – From an Expert Panel
Bibliographic record
Abstract
INTRODUCTION: Persistent air leak (PAL) is associated with prolonged hospitalization, high morbidity and increased treatment costs. Conservative treatment consists of observation, chest tube drainage, and pleurodesis. Guidelines recommend surgical evaluation if air leak does not respond after 3-5 days. One-way endobronchial valves (EBV) have been proposed as a treatment option for patients with PAL in which surgical treatment is not feasible, high risk or has failed. We aimed to provide a comprehensive overview of reported EBV use for PAL and issue best practice recommendations based on multicenter experience. METHODS: We conducted a retrospective observational case-series study at four different European academic hospitals and provided best practice recommendations based on our experience. A systematic literature review was performed to summarize the current knowledge on EBV in PAL. RESULTS: We enrolled 66 patients, male (66.7%), median age 59.5 years. The most common underlying lung disease was chronic obstructive pulmonary disease (39.4%) and lung cancer (33.3%). The median time between pneumothorax and valve placement was 24.5 days (interquartile range: 14.0-54.3). Air leak resolved in 40/66 patients (60.6%) within 30 days after EBV treatment. Concerning safety outcome, no procedure-related mortality was reported and complication rate was low (6.1%). Five patients (7.6%) died in the first 30 days after intervention. CONCLUSION: EBV placement is a treatment option in patients with PAL. In this multicenter case-series of high-risk patients not eligible for lung surgery, we show that EBV placement resulted in air leak resolution in 6 out of 10 patients with a low complication rate. Considering the minimally invasive nature of EBV to treat PAL as opposed to surgery, further research should investigate if EBV treatment should be expanded in low to intermediate risk PAL patients.
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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 | 0.016 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".