Article A2513
Author(s): Chin Lin, PhD, Chien-Chou Chen, MD, Chin-Sheng Lin, MD, PhD, Hung-Sheng Shang, MD, PhD, Chia-Cheng Lee, MD, Tom Chau, MD, PhD, and Shih-Hua Lin, MD
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CERP A 1.00
Expires Dec 26, 2027
Topics: ECG
Required reading for all learners: Implicit Bias impacts patient outcomes
Hyperkalemia is a commonly encountered, life-threatening electrolyte emergency associated with high cardiovascular morbidity and mortality. Hyperkalemia occurs in between 1% and 10% of hospitalized patients and is more prevalent in patients with advanced chronic kidney disease or acute kidney injury in the intensive care unit (ICU). Incident hyperkalemia also is an independent predictor of mortality in patients with critical illness. Hyperkalemia can be detected by point-of-care (POC) blood testing and by artificial intelligence-enabled electrocardiography (ECG). These 2 methods of detecting hyperkalemia have not been compared. The aim of this study was to determine the accuracy of POC and ECG potassium measurements for central laboratory–validated hyperkalemia detection in patients with critical illness.Learners must complete the entire activity and the associated evaluation AND read Implicit Bias impacts patient outcomes. No partial credit will be awarded.
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