The Impact of Cardiac Damage on In‐Hospital Outcomes for Patients With Aortic Stenosis in the United States: An Analysis From The National Inpatient Sample
Bibliographic record
Abstract
INTRODUCTION: The objective of this study is to determine if cardiac damage based on hospital discharge codes is associated with in-hospital outcomes in patients with aortic stenosis (AS). METHODS: We conducted a retrospective cohort study of hospital admissions between 2016 and 2021 with a diagnosis of AS in the National Inpatient Sample (NIS). The cardiac damage stages 0-4 were determined based on hospital discharge codes. Logistic and linear regressions were used to determine the association between cardiac stage and in-hospital mortality, length of stay (LoS) and cost. RESULTS: A total of 2,980,150 hospital admissions were included in the analysis (82.5% conservative management, 11.2% transcatheter aortic valve replacement [TAVR], 6.3% surgical aortic valve replacement [SAVR]). The association between cardiac damage stage and in-hospital outcome was most significant for patients who had SAVR treatment (stage 4 vs. stage 0: mortality OR 27.70 95% CI 17.35-35.17, LoS 7.34 95% CI 6.34-8.35, cost 70,710 95% CI 65,110-76,310) compared to TAVR treatment (stage 4 vs. stage 0: mortality OR 9.15 95% CI 5.52-15.15, LoS 6.27 95% CI 5.63-6.90, cost 28,384 25,084 to 31,684) and conservative treatment (stage 4 vs. stage 0: mortality OR 3.55 95% CI 3.13-4.04, LoS 2.09 95% CI 1.87 to 2.31, cost 6362 95% CI 5642-7083). CONCLUSIONS: Cardiac damage can be evaluated using diagnostic codes in patients with AS and it is associated with in-hospital mortality, LoS and cost, and has more impact on these outcomes in patients treated with SAVR versus those treated with TAVR.
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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 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| 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".