The Safety of Eplerenone in Hemodialysis Patients
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Mineralocorticoid receptor antagonism reduces morbidity and mortality in patients with heart failure, but the safety of these drugs in patients receiving dialysis is unclear. This study evaluated whether hyperkalemia and/or hypotension limited the use of eplerenone, a selective mineralocorticoid receptor antagonist, in hemodialysis patients. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This was a randomized controlled trial of prevalent patients receiving hemodialysis at five Canadian centers. Participants were randomly allocated to 13 weeks of eplerenone titrated to 50 mg daily (n=77) or a matching placebo (n=77). The primary outcome was permanent discontinuation of the drug because of hyperkalemia or hypotension. Secondary outcomes included hyperkalemia, hypotension, and cardiovascular events. RESULTS: Seventy-five eplerenone-treated patients and 71 placebo-treated patients were included in the per protocol population. The primary outcome occurred in three patients (4.0%) in the eplerenone group and two (2.8%) in the placebo group, for an absolute risk difference of 1.2 percentage points (95% confidence interval, -4.7 to 7.1 percentage points). Eplerenone was interpreted as noninferior to placebo with respect to the primary outcome (i.e., a discontinuation rate for these reasons >10% was excluded). In the eplerenone group, nine patients (11.7%) developed hyperkalemia (potassium level >6.5 mEq/L), compared with two patients (2.6%) in the placebo group (relative risk, 4.5; 95% confidence interval, 1.0 to 20.2). There was no significant effect on predialysis or postdialysis BP. CONCLUSION: Eplerenone increased the risk of hyperkalemia but did not result in an excess need to permanently discontinue the drug. Further trials are required to determine whether mineralocorticoid receptor antagonism improves cardiovascular outcomes in patients receiving long-term dialysis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".