Hypoxia Following Mitral Transcatheter Edge-to-Edge Repair
Bibliographic record
Abstract
BACKGROUND: Mitral regurgitation (MR) is a common disorder associated with increased risk of morbidity and mortality. Transcatheter edge-to-edge repair (TEER) is a minimally invasive option that is increasingly used in the management of this condition. Randomized controlled trials have concluded that TEER is safe and effective in reducing secondary MR. CASE SUMMARY: An 81-year-old woman underwent mitral TEER for severe secondary MR. She suffered from ongoing hypoxia postprocedure because of an iatrogenic fistula between the right main pulmonary artery and left atrium with right to left shunt. DISCUSSION: This case represents a unique and rare complication of mitral TEER. TAKE-HOME MESSAGES: Rare but life-threatening complications of mitral TEER should be recognized in a timely manner. Finally, clinicians should consider filter-based cerebral protection system during TEER; however, further studies on its utility are warranted.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".