Influence of Previous Heart Failure Hospitalization on Cardiovascular Events in Patients With Reduced and Preserved Ejection Fraction
Bibliographic record
Abstract
BACKGROUND: Hospitalization for acute heart failure (HF) is associated with high rates of subsequent mortality and readmission. We assessed the influence of the time interval between previous HF hospitalization and randomization in the Candesartan in Heart failure: Reduction in Mortality and morbidity (CHARM) trials on clinical outcomes in patients with both reduced and preserved ejection fraction. METHODS AND RESULTS: CHARM enrolled 7599 patients with New York Heart Association class II to IV HF, of whom 5426 had a history of previous HF hospitalization. Cox proportional hazards regression models were used to assess the association between time from previous HF hospitalization and randomization and the primary outcome of cardiovascular death or unplanned admission to hospital for the management of worsening HF during a median of 36.6 months. For patients with HF and reduced or preserved ejection fraction, rates of cardiovascular mortality and HF hospitalization were higher among patients with previous HF hospitalization than those without. The risk for mortality and hospitalization varied inversely with the time interval between hospitalization and randomization. Rates were higher for patients with HF and reduced ejection fraction within each category. Event rates for those with HF with preserved ejection fraction and a HF hospitalization in the 6 months before randomization were comparable with the rate in patients with HF and reduced ejection fraction with no previous HF hospitalization. CONCLUSIONS: Rates of cardiovascular death or HF hospitalization are greatest in those who have been previously hospitalized for HF. Independent of EF, rates of death and readmission decline as time from HF hospitalization to trial enrollment increased. Recent HF hospitalization identifies a high-risk population for future clinical trials in HF and reduced ejection fraction and HF with preserved ejection fraction. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00634400.
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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 | 0.002 | 0.007 |
| 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 | 0.000 | 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".