Nesiritide, Renal Function, and Associated Outcomes During Hospitalization for Acute Decompensated Heart Failure
Bibliographic record
Abstract
BACKGROUND: Contradictory results have been reported on the effects of nesiritide on renal function in patients with acute decompensated heart failure. We studied the effects of nesiritide on renal function during hospitalization for acute decompensated heart failure and associated outcomes. METHODS AND RESULTS: A total of 7141 patients were randomized to receive either nesiritide or placebo and creatinine was recorded in 5702 patients at baseline, after infusion, discharge, peak/nadir levels until day 30. Worsening renal function was defined as an increase of serum creatinine >0.3 mg/dL and a change of ≥25%. Median (25(th)-75(th) percentile) baseline creatinine was 1.2 (1.0-1.6) mg/dL and median baseline blood urea nitrogen was 25 (18-39) mmol/L. Changes in both serum creatinine and blood urea nitrogen were similar in nesiritide-treated and placebo-treated patients (P=0.20 and P=0.41) from baseline to discharge. In a multivariable model, independent predictors of change from randomization to hospital discharge in serum creatinine were a lower baseline blood urea nitrogen, higher systolic blood pressure, lower diastolic blood pressure, previous weight gain, and lower baseline potassium (all P<0.0001). The frequency of worsening renal function during hospitalization was similar in the nesiritide and placebo group (14.1% and 12.8%, respectively; odds ratio with nesiritide 1.12; confidence interval, 0.95-1.32; P=0.19) and was not associated with death alone and death or rehospitalization at 30 days. However, baseline, discharge, and change in creatinine were associated with death alone and death or rehospitalization for heart failure (all tests, P<0.0001). CONCLUSIONS: Nesiritide did not affect renal function in patients with acute decompensated heart failure. Baseline, discharge, and change in renal function were associated with 30-day mortality or rehospitalization for 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".