Abstract 17212: 30-day All-cause Readmission is Associated With a Significantly Higher Subsequent All-cause Mortality and Costly Readmissions Among Older Medicare Beneficiaries Hospitalized for Heart Failure
Bibliographic record
Abstract
Background: Among ambulatory patients with heart failure (HF), hospital admission is associated with higher subsequent mortality. HF is the leading cause of 30-day all-cause readmission, reduction of which is a goal of the Affordable Care Act. We examined the association of 30-day all-cause readmission with subsequent all-cause mortality in a propensity-matched cohort of hospitalized HF patients. Methods: Of the 8049 Medicare beneficiaries hospitalized for HF and discharged alive from 106 U.S. hospitals (1998-2001), 7578 were alive 30-day post-discharge, of which 1519 had 30-day all-cause readmission. Using propensity scores for 30-day all-cause readmission, we assembled a matched cohort of 1516 pairs of patients with and without 30-day all-cause readmission, balanced on 34 baseline characteristics. Results: During 2-12 months of post-discharge follow-up, all-cause mortality occurred in 41% and 27% of matched patients with and without 30-day all-cause readmission, respectively (HR, 1.68; 95% CI, 1.48-1.90; p<0.001; Figure). During a mean post-index follow up of 3 (max 9) years, patients with 30-day all-cause readmissions (vs. without) had higher total of post-index readmissions (mean, 6.9 vs 5.1; p<0.001), longer cumulative length of stay (mean, 51 vs 43 days; p<0.001), and higher charges (mean, $129,175 vs. $114,787; p=0.012) and payments (mean, $38,972 vs. $34,025; p=0.001) from those readmissions. Conclusions: Among hospitalized patients with HF 30-day all-cause readmission is associated with higher subsequent mortality, number of readmissions and costs, and longer cumulative length of stay.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".