Heart Failure with Preserved Ejection Fraction: Clinical Characteristics of 4133 Patients Enrolled in the I-PRESERVE Trial
Bibliographic record
Abstract
BACKGROUND: We describe the baseline characteristics of subjects randomised in the largest placebo-controlled, morbidity-mortality trial to date in patients with heart failure and preserved ejection fraction - the irbesartan in heart failure with preserved systolic function trial (I-PRESERVE). METHODS AND RESULTS: 4133 patients with a mean age of 72 years (a third were 75 years or older) were randomised and 60% were women. The mean (SD) LVEF was 59 (9)% and almost 80% of patients were in NYHA Class III or IV. Approximately 80% of patients were also overweight or obese. Heart failure was reported by investigators to have a hypertensive aetiology in 64% of patients. Prior myocardial infarction was relatively uncommon (24%), as was coronary revascularisation (13%). Atrial fibrillation and diabetes each occurred in between a quarter and a third of patients. The following treatments were used at baseline: diuretic 83%, beta-blocker 59%, calcium channel blocker 40%, ACE inhibitor 25%, spironolactone 15% and digoxin 14%. CONCLUSIONS: Patients in I-PRESERVE are broadly representative of those seen in epidemiological studies and, because of this, the results of this trial should be generally applicable to "real world" patients with heart failure and preserved ejection fraction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".