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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".