Life‐Threatening Left Atrial Wall Hematoma Secondary to a Pulmonary Vein Laceration: An Unusual Complication of Catheter Ablation for Atrial Fibrillation
Bibliographic record
Abstract
BACKGROUND: Several complications may occur during catheter ablation for atrial fibrillation (AF). We report an unusual case of left atrial wall hematoma without pericardial effusion secondary to a right inferior pulmonary vein (PV) laceration. The use of real-time transesophageal echocardiography (TEE) during the procedure can be useful for early detection of this potentially lethal complication. CASE REPORT: A 49-year-old woman was referred for AF ablation. Her past medical history included severe systemic lupus with chronic renal failure treated with immunosuppressive and steroid drugs. A TEE-guided hybrid approach for AF ablation was performed with circular PV lesions and antrum and ostial electrical isolation. While performing the mitral isthmus line, the TEE showed a growing hematoma at the posterior left atrial wall. Rapidly, left atrium (LA) collapse associated with hemodynamic compromise occurred without any pericardial effusion. The patient was brought to the operating room. No pericardial effusion was seen at the time of surgery. The cardiac exploration showed a right inferior PV laceration. The visual inspection of the LA revealed thin and friable tissue. The patient survived. After 25 months of follow-up, she is still free from symptomatic AF. CONCLUSIONS: Left atrial wall hematoma without pericardial effusion is a rare and life-threatening complication after catheter-based AF ablation. TEE is a valuable monitoring tool to accurately diagnose several acute complications and prompt rapid intervention.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 | 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".