Early mobilization after transcatheter aortic valve implantation: observational cohort study
Bibliographic record
Abstract
AIMS: Early mobilization is associated with improved outcomes in hospitalized older patients. We sought to determine the effect of a nurse-led protocol on mobilization 4 h after transfemoral transcatheter aortic valve implantation (TAVI) across different units of care. METHODS AND RESULTS: We conducted a prospective observational cohort single-centre study of consecutive patients. We implemented a standardized protocol for safe early recovery and progressive mobilization in the critical care and cardiac telemetry units. We measured the time to first mobilization and conducted descriptive statistics to identify patient and system barriers to timely ambulation. We recruited 139 patients (82.5 years, SD = 6.7; 46% women). At baseline, patients who were mobilized early (≤4 h) and late (>4 h) did not differ, except for higher rates of diabetes (25.5% vs. 43.9%, P = 0.032) and peripheral arterial disease (8.2% vs. 26.8%, P = 0.003) in the late mobilization group. The median time to mobilization was 4 h [inter-quartile range (IQR) 3.25, 4]; 98 patients (70.5%) were mobilized successfully after 4 h of bedrest; 118 (84.9%) were walking by the evening of the procedure (<8 h bedrest); and 21 (15.1%) were on bedrest overnight and mobilized the following day. Primary reasons for overnight bedrest were arrhythmia monitoring (n = 10, 7.2%) and haemodynamic and/or neurological instability (n = 6, 4.3%); six patients (4.3%) experienced delayed ambulation due to system issues. Procedure location in the hybrid operating room and transfer to critical care were associated with longer bedrest times. CONCLUSION: Standardized nurse-led mobilization 4 h after TF TAVI is feasible in the absence of clinical complications and system barriers.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".