Effects of Renal Neutral Endopeptidase Inhibition on Sodium Excretion, Renal Hemodynamics and Neuro-hormonal Activation in Patients with Congestive Heart Failure
Bibliographic record
Abstract
We investigated the effects of inhibiting endogenous atrial natriuretic factor (ANF) metabolism on renal hemodynamics, sodium excretion and neurohormones in 12 patients with New York Heart Association functional class II congestive heart failure (CHF) due to left ventricular systolic dysfunction. In a randomized, placebo-controlled, double-blinded fashion, 8 patients received a single oral dose of candoxatril, an inhibitor of renal neutral endopeptidase, and 4 patients received placebo. Candoxatril treatment increased plasma ANF by 70 +/- 71 pg/ml (p < 0.015 vs. placebo) and plasma cGMP by 7.9 +/- 2.7 pmol/ml (p < 0.001 vs. placebo), with maximal effects at 3.5 h. Urinary cGMP more than doubled (p = 0.025 vs. placebo). Candoxatril increased urinary sodium by 2.7 +/- 2.0 mEq/h (p < 0.05 vs. placebo) and significantly elevated filtration fraction with no significant effect on glomerular filtration rate, renal plasma flow or lithium clearance. A significant reduction in aldosterone concentration with a similar trend in plasma renin activity was noted in candoxatril-treated patients. Thus in patients with moderate heart failure, renal neutral endopeptidase inhibition increases urinary sodium excretion. The lack of an effect on renal hemodynamics suggests that this natriuresis results from ANF-mediated inhibition of tubular sodium reabsorption. These findings justify additional investigation into potential clinical benefit of endopeptidase inhibition in patients with CHF.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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) | 0.001 | 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".