Post‐procedure protocol to facilitate next‐day discharge: Results of the multidisciplinary, multimodality but minimalist TAVR study
Bibliographic record
Abstract
BACKGROUND: Evidence is lacking to standardize post-procedure care after transcatheter aortic valve replacement (TAVR). OBJECTIVE: We report on the findings of the post-procedure sub-study of the multimodality, multidisciplinary but minimalist TAVR (3M TAVR) study. METHODS: A standardized protocol to guide monitoring, early mobilization, reconditioning, communication, and criteria-driven discharge was implemented in a multicenter, prospective, sequential case series study in 13 North American low, medium, and high-volume centers in 2015-2017. Outcome measures pertaining to post-procedure care included avoidance of invasive lines and delirium, in-hospital bed utilization, patient disposition at the time of discharge, and 30-day use of nonelective medical services. RESULTS: Four hundred eleven participants were enrolled. In the post-procedure phase, 365 (88.8%) participants were admitted without a temporary pacemaker; urinary catheterization was avoided in 402 (97.8%) participants. Of note, 91.7% received care in a single unit (critical care: 72.5%; cardiac telemetry: 19.2%); 99.0% were discharged home. At the time of 30-day follow-up, 6 (1.6%) participants required admission to a rehabilitation or a skilled nursing facility; 30-day emergency department visits were 13.5%. CONCLUSIONS: The implementation of the 3M TAVR standardized accelerated reconditioning protocol is a safe and effective strategy to facilitate next-day discharge home after TAVR in centers of varying size.
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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 | 0.021 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".