Abstract 17955: Reduction in 30-day Rehospitalization After Discharge From a Heart Failure Admission in Patients Receiving LCZ696 versus Enalapril: PARADIGM-HF
Bibliographic record
Abstract
Introduction: The angiotensin receptor neprilysin inhibitor LCZ696 reduced cardiovascular death, heart failure hospitalization and all-cause mortality in patients with heart failure and reduced ejection fraction compared with enalapril. Hypothesis: We hypothesized that LCZ696 would reduce 30-day readmission after a heart failure hospitalization. Methods: PARADIGM-HF randomized 8399 patients with HF and reduced ejection fraction to either LCZ696 200mg bid or Enalapril 10mg bid. We assessed the risk of 30-day readmission for any cause following investigator reported and adjudicated hospitalization for heart failure. Admission and discharge dates were available for 2800 hospitalizations (95%) in 1638 patients. Results: Of 2800 HF hospitalizations, 1545 occurred in 871 patients in the enalapril group and 1255 occurred in 767 patients in the LCZ arm. Overall, 10.5% of these HF hospitalizations were followed by a repeat hospitalization for any cause within 30 days of discharge, and this occurred significantly less frequently in the LCZ arm (8.7%) relative to the enalapril arm (12.0%), in both unadjusted models and a random-effects logistic regression model accounting for the repeated HF hospitalizations experienced by some patients. We observed similar results in a sensitivity analysis restricted only to the first HF hospitalization for each patient. Further adjustment for baseline characteristics did not alter these findings. Similar effect sizes were observed for adjudicated heart failure hospitalizations. Conclusion: In patients admitted with heart failure in PARADIGM-HF, LCZ reduced 30-day readmissions for any-cause.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".