Time-of-Day and Clinical Outcomes After Surgical or Transcatheter Aortic Valve Replacement: Insights From the PARTNER Trials
Bibliographic record
Abstract
Background: Circadian rhythms may influence myocardial tolerance to ischemia-reperfusion phenomena occurring during cardiac procedures. While conflicting results exist on the effect of time-of-day on surgical aortic valve replacement (SAVR), afternoon procedures could be associated with a reduced risk of death, rehospitalization or periprocedural myocardial infarction, compared with morning procedures. We examined the impact of procedure time-of-day on outcomes after transcatheter aortic valve replacement (TAVR) or SAVR. Methods: We analyzed patients at intermediate- or high-surgical risk who underwent elective TAVR (n=4457) or SAVR (n=1129) in the PARTNER (Placement of Aortic Transcatheter Valve) 1 and 2 trials and registries according to time-of-day (morning versus afternoon) using the Kaplan-Meier event rates and multivariable Cox proportional hazards regression models. Sensitivity analysis was conducted using 1:1 propensity-score matching. The primary end point was all-cause death or rehospitalization at 2 years. Results: At 2 years, no difference was observed between patients operated in the morning versus the afternoon within the SAVR (32.3% versus 30.6%, adjusted hazard ratio, 1.08 [95% CI, 0.82–1.41], P =0.58) and TAVR cohorts (35.7% versus 35.4%, adjusted hazard ratio, 1.01 [95% CI, 0.89–1.14], P =0.86) with regards to the primary end point. Rates of periprocedural myocardial infarction were low and similar between morning and afternoon in SAVR (1.6% versus 1.0%, P =0.51) and TAVR (0.4% versus 0.4%, P =0.86), as were all other clinical end points. Similar results were observed in propensity-score matched analysis. Conclusions: Procedure time-of-day was not associated with clinical outcomes after TAVR or SAVR. Registration: URL: https://www.clinicaltrials.gov ; Unique identifiers: NCT00530894, NCT01314313, NCT03222141, and NCT03222128.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.001 | 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 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".