Cardiopulmonary bypass and intra‐aortic balloon pump use is associated with higher short and long term mortality after transcatheter aortic valve replacement: A PARTNER trial substudy
Bibliographic record
Abstract
BACKGROUND: Transcatheter aortic valve replacement (TAVR) with the balloon-expandable Sapien transcatheter heart valve improves survival compared to standard therapy in patients with severe aortic stenosis (AS) and is noninferior to surgical aortic valve replacement (AVR) in patients at high operative risk. Nonetheless, a significant proportion of patients may require pre-emptive or emergent support with cardiopulmonary bypass (CPB) and/or intra-aortic balloon pump (IABP) during TAVR due to pre-existing comorbid conditions or as a result of procedural complications. OBJECTIVES: We hypothesized that patients who required CPB or IABP would have increased periprocedural complications and reduced long-term survival. In addition, we sought to determine whether preprocedural variables could predict the need for CPB and IABP. METHODS: The study population included 2,525 patients in the PARTNER Trial (Cohort A and B) and the continuing access registry (CAR). Patients that received CPB or IABP were compared to patients that did not receive either, and then further divided into those that received support pre-TAVR and those that were placed on support emergently. RESULTS: One-hundred sixty-three patients (6.5%) were placed on CPB and/or IABP. The use of CPB or IABP was associated with higher 1 year mortality (49.1% vs. 21.6%, P < 0.001). In multivariable analysis, utilization of CPB or IABP was an independent predictor of 30 day (HR 6.95) and 1-year (HR 2.56) mortality. Although mortality was highest in emergent cases, mortality was also greater in planned CPB and IABP cases compared with non-CPB/IABP cases (53.3% and 40.3% vs. 21.6%, P < 0.001). CONCLUSIONS: These findings indicate that CPB and IABP use in TAVR portends a poor prognosis and its utilization, particularly in the setting of pre-emptive use, needs reconsideration.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".