In-Hospital and One-Year Outcomes of Transcatheter Aortic Valve Replacement in Patients Requiring Supplemental Home Oxygen Use
Bibliographic record
Abstract
Background: There have been limited reports with inconsistent results on the impact of long-term use of oxygen therapry (LTOT) in patients treated with transcatheter aortic valve replacement (TAVR). Methods: We compared in-hospital and intermediate TAVR outcomes in 150 patients requiring LTOT (home O 2 cohort) with 2,313 non-home O 2 patients. Results: Home O 2 patients were younger, and had more comorbidities including chronic obstructive pulmonary disease (COPD), diabetes, carotid artery disease, lower forced expiratory volume (FEV 1 ) (50.3±21.1% vs. 75.0±24.7%, P < 0.001), and lower diffusion capacity (DLCO, 48.6±19.2% vs. 74.6±22.4%, P < 0.001). These differences represented higher baseline Society of Thoracic Surgeons (STS) risk score (15.5±10.2% vs. 9.3±7.0%, P < 0.001) and lower pre-procedure Kansas City Cardiomyopathy Questionnaire (KCCQ-12) scores (32.5 ± 22.2 vs. 49.1 ± 25.4, P < 0.001). The home O 2 cohort required higher use of alternative TAVR vascular access (24.0% vs. 12.8%, P = 0.002) and general anesthesia (51.3% vs. 36.0%, P < 0.001). Compared to non-home O 2 patients, home O 2 patients showed increased in-hospital mortality (5.3% vs. 1.6%, P = 0.001), procedural cardiac arrest (4.7% vs. 1.0%, P < 0.001), and postoperative atrial fibrillation (4.0% vs. 1.5%, P = 0.013). At 1-year follow-up, the home O 2 cohort had a higher all-cause mortality (17.3% vs. 7.5%, P < 0.001) and lower KCCQ-12 scores (69.5 ± 23.8 vs. 82.1 ± 19.4, P < 0.001). Kaplan-Meir analysis revealed a lower survival rate in the home O 2 cohort with an overall mean (95% confidence interval (CI)) survival time of 6.2 (5.9 - 6.5) years (P < 0.001). Conclusion: Home O 2 patients represent a high-risk TAVR cohort with increased in-hospital morbidity and mortality, less improvement in 1-year KCCQ-12, and increased mortality at intermediate follow-up. Cardiol Res. 2023;14(3):228-236 doi: https://doi.org/10.14740/cr1497
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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) | 0.001 | 0.001 |
| 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".