Remote ECG monitoring to reduce complications following transcatheter aortic valve implantations: the Redirect TAVI study
Bibliographic record
Abstract
AIMS: The optimal strategy of monitoring for conduction disturbances in patients undergoing transcatheter aortic valve implantation (TAVI) is uncertain. We evaluated a pre- and post-TAVI remote ambulatory cardiac monitoring (rACM) strategy for identification of conduction disturbances and to reduce unplanned pre-discharge post-TAVI permanent pacemaker implantation (PPMI). METHODS AND RESULTS: REdireCT TAVI (NCT0381820) was a prospective cohort study of patients referred for outpatient TAVI. Patients with prior PPMI were excluded. Remote ambulatory cardiac monitoring consisted of 2 weeks of continuous electrocardiogram (ECG) monitoring (Pocket-ECGTM) both before and after TAVI. Compliance to monitoring, frequency of notifications, unplanned PPMI post-TAVI, and length of hospitalization were measured. Between June 2018 and March 2020, in 192 undergoing TAVI (mean age: 81.8 years; female sex 46%; balloon-expandable valve 95.3%), compliance to rACM was 91.7% pre-TAVI (mean duration: 12.8 days), and 87.5% post-TAVI (mean duration: 12.9 days). There were 24 (12.5%) rACM notifications (13 pre-TAVI; 11 post-TAVI) resulting in 14 (7.3%) planned PPMI: seven pre-TAVI [due to sinus pauses n = 2 or atrio-ventricular block (AVB) n = 5] and seven post-TAVI [due to sinus pauses n = 1 or AVB n = 5 or ventricular tachycardia (VT) n = 1]. In addition, nine (4.7%) patients received pre-TAVI PPMI due to high-risk baseline ECG (right bundle branch block with hemi-block or prolonged PR interval). Unplanned PPMI post-TAVI during index hospitalization occurred in six (3.1%) patients due to AVB and in one patient readmitted with AVB. The median length of stay post-TAVI was 1 day. CONCLUSION: A strategy of routine rACM was feasible and frequently led to PPMI. Our approach of 2-week rACM both pre- and post-TAVI achieves both high patient compliance and sufficient surveillance. CLINICAL TRIAL REGISTRATION: Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT03810820.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".