A Method for Detecting Life-Threatening Signals in Serum Potassium Level after Myocardial Infarction
Michal Shauly-Aharonov, Moshe Pollak, Ygal Plakht

TL;DR
This study introduces a novel method based on changes in serum potassium levels to predict mortality risk in myocardial infarction patients, complementing existing absolute level guidelines.
Contribution
It proposes a new framework using the 'change in mean' indicator to detect life-threatening potassium fluctuations, improving early risk assessment.
Findings
Detected ~80% of patients who died using the new method
Achieved ~40% false alarm rate among survivors
Demonstrated the method's potential to complement existing protocols
Abstract
Clinical guidelines recommend maintaining serum potassium levels between 4.0 and 5.0 mEq/L in patients with acute myocardial infarction (MI). These guidelines are based on recent studies that found significant associations between crossing of absolute potassium limits (by in-hospital mean or by min/max values) and mortality. This paper investigates a different approach: we hypothesized that a change in the potassium level may be a harbinger of short survivability, rather than crossing of absolute boundaries. Our objectives were: (1) to examine if a "change in mean" indicator has the ability to distinguish between survivors and non-survivors of MI hospitalization, and if so, (2) to formulate a framework for detecting life-threatening changes in potassium level of patients hospitalized with MI. The study included 195 patients who were hospitalized for MI from 2002 to 2014, with at least…
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Taxonomy
TopicsPotassium and Related Disorders · Heart Failure Treatment and Management · Pharmaceutical Practices and Patient Outcomes
