Pearls and pitfalls in managing right heart failure in cardiac surgery
Bibliographic record
Abstract
PURPOSE OF REVIEW: To review the recent insights in the evaluation and management of perioperative (RHF). RECENT FINDINGS: Recent studies highlight the potential role of myocardial deformation imaging in the evaluation of patients at risk of postoperative RHF. There is also a growing interest to study the value of load-adaptation indices of the right heart in the setting of pulmonary hypertension or left ventricular assist device implantation. Finally, the field of temporary extracorporeal life support devices for RHF is rapidly evolving and new strategies are emerging. SUMMARY: An integrated approach for assessing the cardiopulmonary axis combining imaging, hemodynamic and tissue perfusion monitoring is emerging, as particularly helpful in the field. Several developments in the field of temporary right heart support including the pumpless interventional lung assist membrane ventilator are offering new opportunities to support the right-heart pulmonary circulation. Future multicenter studies are needed to develop more effective preventive and therapeutic strategies for RHF.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".