Periprocedural Changes in Cognitive Function After Transcatheter and Surgical Aortic Valve Replacement: Results From a Pilot Study Assessing Cognition in Elderly Veterans
Bibliographic record
Abstract
BACKGROUND: There is paucity of data comparing periprocedural changes in cognitive function between surgical aortic valve replacement (SAVR) and transcatheter aortic valve replacement (TAVR). METHODS: We enrolled patients with severe aortic stenosis scheduled to undergo TAVR or SAVR at the discretion of the heart team. Participants completed a cognitive battery before and 3 months after TAVR or SAVR, including the Montreal Cognitive Assessment (MoCA), phonemic (letter) verbal fluency, semantic (category) verbal fluency, and the Trail Making test (TMT) A and B. Periprocedural differences in cognition were compared within (pre/post procedure) and between groups using the paired-samples or independent-sample t-test, respectively. The Wilcoxon test was used for non-normally distributed data. RESULTS: Of the 63 patients (95% men) included, a total of 43 underwent TAVR and 20 underwent SAVR. Patients undergoing TAVR were older than SAVR patients (78 ± 8 years vs 70 ± 7 years, respectively; P<.001), but had similar STS surgical risk scores (4.9% vs 4.7%, respectively; P=.79). At baseline, there were no differences in cognition. At 3 months post TAVR or SAVR, there were no significant differences for MoCA blind score (16 ± 3 vs 16 ± 3, respectively; P=.61), correct responses in semantic fluency (15 ± 5 vs 15 ± 6, respectively; P=.93), correct responses in phonemic fluency (30 ± 12 vs 28 ± 15, respectively; P=.87), TMT A completion time (54 sec [IQR, 42-65 sec] vs 31 sec [IQR, 28-69 sec], respectively; P=.07), or TMT B completion time (161 sec [IQR, 118-300 sec] vs 173 sec [IQR, 110-300 sec], respectively; P=.87). CONCLUSIONS: In this pilot observational study, we observed no significant differences in cognition at baseline or 3 months between SAVR and TAVR groups.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".