Enhanced Recovery After Surgery Cardiac Society turnkey order set for prevention and management of postoperative atrial fibrillation after cardiac surgery: Proceedings from the American Association for Thoracic Surgery ERAS Conclave 2023
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Postoperative atrial fibrillation (POAF) is a prevalent complication following cardiac surgery that is associated with increased adverse events. Several guidelines and expert consensus documents have been published addressing the prevention and management of POAF. We aimed to develop an order set to facilitate widespread implementation and adoption of evidence-based practices for POAF following cardiac surgery. Methods: Subject matter experts were consulted to translate existing guidelines and literature into a sample turnkey order set (TKO) for POAF. Orders derived from consistent class I or IIA or equivalent recommendations across referenced guidelines and consensus manuscripts appear in the TKO in bold type. Selected orders that were inconsistently class I or IIA, class IIB, or supported by published evidence appear in italic type. Results: Preoperatively, the recommendation is to screen patients for paroxysmal or chronic atrial fibrillation and initiate appropriate treatment based on individual risk stratification for the development of POAF. This may include the administration of beta-blockers or amiodarone, tailored to the patient's specific risk profile. Intraoperatively, surgical interventions such as posterior pericardiotomy should be considered in selected patients. Postoperatively, it is crucial to focus on electrolyte normalization, implementation strategies for rate or rhythm control, and anticoagulation management. These comprehensive measures aim to optimize patient outcomes and reduce the occurrence of POAF following cardiac surgery. Conclusions: Despite the well-established benefits of implementing a multidisciplinary care pathway for POAF in cardiac surgery, its adoption and implementation remain inconsistent. We have developed a readily applicable order set that incorporates recommendations from existing guidelines.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it