Frequency, Management, and Outcomes of Outpatient Hyperkalemia: A Population-Based Cohort Study
Bibliographic record
Abstract
Background: Hyperkalemia is a potentially life-threatening condition, with guidelines recommending urgent treatment when the serum potassium level is greater than 6.0 mmol/L. However, these recommendations are inconsistent, leading to diverse approaches to patient care. Objectives: The primary objectives were to use population-based datasets to determine how often outpatient hyperkalemia (K > 6.2 mmol/L) occurs and how frequently patients present to the emergency department (ED) within 24 hours of the hyperkalemia report. Secondary objectives were to compare the characteristics of patients who had an ED encounter to those who did not, assess clinical outcomes within 7 days of the hyperkalemia report, and describe the initial potassium result within 24 hours of an ED encounter. Design: Retrospective cohort study using linked population-based datasets at ICES. Setting: Ontario, Canada from January 1, 2007, to December 24, 2021. Patients: Adult patients (≥18 years) not on dialysis with an outpatient hyperkalemia result >6.2 mmol/L who were identified through flagged and urgently communicated results from outpatient laboratories. Measurements: Emergency department encounters within 24 hours following an outpatient serum potassium report >6.2 mmol/L. Outcomes included all-cause mortality, cardiovascular mortality, arrhythmias, cardiac arrest in the ED, hospitalizations, and new dialysis starts within 7 days of the hyperkalemia report. Methods: Administrative healthcare data were linked with laboratory results to compare baseline characteristics, medication use, healthcare utilization, and clinical outcomes for all patients. Standardized differences were used for comparisons. Results: There were over 65 million serum potassium measurements and 57 607 individuals with an outpatient hyperkalemia value >6.2 mmol/L. Of these, 7469 (13.0%) individuals had an ED encounter within 24 hours. Individuals with an ED encounter had more comorbidities, higher medication use, and more prior healthcare utilization. Within 7 days of the hyperkalemia report, 675 of the 57 607 individuals (1.2%) had died. Where data were available, the first potassium value within 24 hours of an ED encounter was 1.5 mmol/L (± SD 1.3) lower, on average, than the initial outpatient potassium value. Limitations: All-cause mortality may not be attributable to the hyperkalemia result. Sudden cardiac death, which is more specific to hyperkalemia, is not completely captured in our data sources. Data for medications are limited to patients 65 years of age and older. Conclusions: Outpatient hyperkalemia is common. Despite guidelines recommending urgent treatment for patients with serum potassium levels >6.2 mmol/L, most are not referred to the ED.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 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".