Mode of Death in Patients With Heart Failure and a Preserved Ejection Fraction
Bibliographic record
Abstract
BACKGROUND: The mode of death has been well characterized in patients with heart failure and a reduced ejection fraction; however, less is known about the mode of death in patients with heart failure and a preserved ejection fraction (HFPEF). The purpose of this study was to examine the mode of death in patients with HFPEF enrolled in the Irbesartan in Heart Failure With Preserved Ejection Fraction Study (I-Preserve) trial and to determine whether irbesartan altered the distribution of mode of death in HFPEF. METHODS AND RESULTS: All deaths were reviewed by a clinical end-point committee, and the mode of death was assigned by consensus of the members. The annual mortality rate was 5.2% in the I-Preserve trial. There were no significant differences in mortality rate between the placebo and irbesartan groups. The mode of death was cardiovascular in 60% (including 26% sudden, 14% heart failure, 5% myocardial infarction, and 9% stroke), noncardiovascular in 30%, and unknown in 10%. There were no differences in the distribution of mode-specific mortality rates between placebo and irbesartan. CONCLUSIONS: Sixty percent of the deaths in patients with HFPEF were cardiovascular, with sudden death and heart failure death being the most common. Treatment with irbesartan did not affect overall mortality or the distribution of mode-specific mortality rates. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00095238.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".