Ambulatory Treatments for RAAS Inhibitor–Related Hyperkalemia and the 1-Year Risk of Recurrence
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: The optimal ambulatory management of renin-angiotensin-aldosterone system inhibitor (RAASi)-related hyperkalemia to reduce the risk of recurrence is unknown. We examined the risk of hyperkalemia recurrence on the basis of outpatient pharmacologic changes following an episode of RAASi-related hyperkalemia. DESIGN: =49,571; mean age 79 years) who developed hyperkalemia (potassium ≥5.3 mEq/L) while on a RAASi and were grouped as follows: no intervention, RAASi discontinuation, RAASi dose decrease, new diuretic, diuretic dose increase, or sodium polystyrene sulfonate within 30 days. The primary outcome was hyperkalemia recurrence, with secondary outcomes of cardiovascular events and all-cause mortality within 1 year. RESULTS: Among patients who received a pharmacologic intervention (23% of the cohort), RAASi discontinuation was the most commonly prescribed strategy (74%), followed by RAASi decrease (15%), diuretic increase (7%), new diuretic (3%), and sodium polystyrene sulfonate (1%). A total of 16,977 (34%) recurrent hyperkalemia events occurred within 1 year. Compared with no intervention (35%, referent), the cumulative incidence of recurrent hyperkalemia was lower with RAASi discontinuation (29%; hazard ratio, 0.82; 95% confidence interval, 0.78 to 0.85), whereas there was no difference with RAASi dose decrease (36%; hazard ratio, 0.94; 95% confidence interval, 0.86 to 1.02), new diuretic (32%; hazard ratio, 0.95; 95% confidence interval, 0.78 to 1.17), or diuretic increase (38%; hazard ratio, 0.99; 95% confidence interval, 0.87 to 1.12) and a higher incidence with sodium polystyrene sulfonate (55%; hazard ratio, 1.30; 95% confidence interval, 1.04 to 1.63). RAASi discontinuation was not associated with a higher risk of 1-year cardiovascular events (hazard ratio, 0.96; 95% confidence interval, 0.91 to 1.02) or all-cause mortality (hazard ratio, 1.05; 95% confidence interval, 0.96 to 1.15) compared with no intervention. CONCLUSIONS: Among older adults with RAASi-related hyperkalemia, RAASi discontinuation is associated with the lowest risk of recurrent hyperkalemia, with no apparent increase in short-term risks for cardiovascular events or all-cause mortality.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 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".