The Natural History and Treatment of Cardiac Implantable Electronic Device Associated Pneumothorax—A 10-Year Single-Centre Experience
Bibliographic record
Abstract
Background Pneumothorax is a common complication of cardiac implantable electronic device (CIED) procedures. There is a paucity of data on the natural history and management of a CIED-associated pneumothorax. Methods This is a single-centre retrospective study of all consecutive patients with a CIED-associated pneumothorax between March 2010 and March 2020. Pneumothorax size was determined on all chest x-rays after device implantation and before chest tube insertion (if placed). Changes in pneumothorax size on serial chest x-rays were reported. Clinical outcomes in patients with a severe-sized pneumothorax treated with a chest tube were compared with those treated conservatively. Results A total of 86 CIED-associated pneumothoraxes were identified, with 55 (63.9%) patients having a pneumothorax severe in size. Thirty-seven patients with a severe pneumothorax received a chest tube, whereas 18 were managed conservatively. Chest tube use was associated with a higher rate of admission to hospital (100% vs 63%, P = 0.02) for patients undergoing outpatient procedure, longer length of stay (6.3 ± 3.9 vs 2.7 ± 2.9 days, P = 0.04), but fewer chest x-rays (1.9 ± 0.7 vs 4.1 ± 2.5, P = 0.002). Conclusion An initial strategy of conservative management of a CIED-associated pneumothorax in select patients may be feasible and safe.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".