Pulsatile Hemodynamic Effects of Candesartan in Patients with Chronic Heart Failure: The CHARM Program
Bibliographic record
Abstract
BACKGROUND: Abnormal large artery function and increased pulsatile load are exacerbated by excess angiotensin-II acting through the AT1 receptor and contribute to the pathogenesis and progression of chronic heart failure (CHF). AIMS: To evaluate effects of the AT1 receptor blocker candesartan (N = 30) or placebo (N = 34) on pulsatile hemodynamics in participants with CHF in the CHARM program. METHODS AND RESULTS: Noninvasive hemodynamics were assessed following 6 and 14 months of treatment and averaged. Using calibrated tonometry and aortic outflow Doppler, characteristic impedance was calculated as the ratio of the change in carotid pressure and aortic flow in early systole. Total arterial compliance was calculated by the diastolic area method. Brachial blood pressure, cardiac output and peripheral resistance did not differ between groups. Lower central pulse pressure in the candesartan group (57+/-20 vs. 67+/-17 mmHg, P = 0.043) was accompanied by lower characteristic impedance (200+/-78 vs. 240+/-74 dyne s/cm5, P = 0.039) and higher total arterial compliance (1.87+/-0.70 vs. 1.47+/-0.48 ml/mmHg, P = 0.008). Similar favorable differences were seen when analyses were stratified for ejection fraction (< or = 0.40 vs. >0.40) and baseline angiotensin converting enzyme inhibitor use. CONCLUSIONS: Candesartan has a favorable effect on large artery function in patients with chronic heart failure.
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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) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".