Abstract 9635: Percutaneous vs. Surgical Pulmonary Valve Implantation: How Does the Right Ventricle Fare?
Bibliographic record
Abstract
Introduction. Percutaneous pulmonary valve implantation (PPVI) to non-invasively correct pulmonary valve dysfunction is a recent advancement. Cardiopulmonary bypass is known to have a negative impact on right ventricular (RV) function. This study was designed to assess RV recovery using echocardiographic parameters post surgical pulmonary graft placement versus PPVI. Methods. Retrospective study of consecutive adult patients who underwent PPVI and received graft bioprosthesis between 2007 and 2011. Echocardiographic parameters analyzed included tricuspid annular systolic excursion (TAPSE), RV tissue Doppler velocity (TDV), and myocardial performance index (MPI). Graphs of relative differences (between postoperative and preoperative values) for each parameter were constructed to compare preoperative, early (≤60 days) and late postoperative (≥6-12 months) measurements. Significance of results was determined using T-test. Results. Ten patients received PPVI and 26 underwent open heart surgery with graft insertion. Average patient age was 31±20 years. Pre-operative TDV (p=0.008), and MPI (p=0.05) were significantly higher for the surgical population than the percutaneous group. Postoperative, TDV and TAPSE were significantly lower early (p<0.001) and late (p<0.001) in the surgical group than preoperative measures. No significant differences were seen for the PPVI group. On comparison of relative differences in parameters between groups TDI was significantly higher both early (p<0.001) and late (p<0.006) postoperatively in the percutaneous group. Conclusion. RV systolic recovery as measured by TDV and TAPSE was significantly impaired post surgery but relatively unchanged post PPVI. On analysis of relative differences in RV parameters, TDI was significantly higher early and late post PPVI than open-heart surgery suggesting that surgery may impact RV function more significantly than its percutaneous counterpart.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".