Observational studyInternal and emergency medicine2020
Electrocardiographic T wave alterations and prediction of hyperkalemia in patients with acute kidney injury.
Observational study in Internal and emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Hyperkalemia in pediatric nephrectomy: a common complication.Pediatric nephrology (Berlin, Germany) · 2026Article
- AI-enhanced non-invasive monitoring of critical biochemical analytes in perioperative care: a review of signal processing and clinical applications.Frontiers in physiology · 2026Review
- Management of acute kidney injury in tumor lysis syndrome: a narrative review.Internal and emergency medicine · 2025Review
- Monitoring serum potassium concentration in patients with severe hyperkalemia: the role of bloodless artificial intelligence-enabled electrocardiography.Clinical kidney journal · 2025Article
- Predicting in-hospital mortality in patients with alcoholic cirrhosis complicated by severe acute kidney injury: development and validation of an explainable machine learning model.Frontiers in medicine · 2025Article
- Rapid and non-invasive diagnosis of hyperkalemia in patients with systolic myocardial failure using a model based on machine learning algorithms.Journal of family medicine and primary care · 2024Article
- Machine learning models for early prediction of potassium lowering effectiveness and adverse events in patients with hyperkalemia.Scientific reports · 2024Article
- Article
- Electrocardiographic Abnormalities in Patients with Hyperkalemia: A Retrospective Study in an Emergency Department in Colombia.Open access emergency medicine : OAEM · 2024Article
- Recent Progresses in Non-Dialysis Chronic Kidney Disease Patients with Hyperkalemia: Outcomes and Therapeutic Strategies.Medicina (Kaunas, Lithuania) · 2023Review
- ECG frequency changes in potassium disorders: a narrative review.American journal of cardiovascular disease · 2022Review
- Monitoring blood potassium concentration in hemodialysis patients by quantifying T-wave morphology dynamics.Scientific reports · 2021Article
- Quantification and classification of potassium and calcium disorders with the electrocardiogram: What do clinical studies, modeling, and reconstruction tell us?APL bioengineering · 2020Review
- Predicting hyperkalemia in patients with acute kidney injury: time for a change of weaponry.Internal and emergency medicine · 2020Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrocardiographic (ECG) alterations are common in hyperkalemic patients. While the presence of peaked T waves is the most frequent ECG alteration, reported findings on ECG sensitivity in detecting hyperkalemia are conflicting. Moreover, no studies have been conducted specifically in patients with acute kidney injury (AKI). We used the best subset selection and cross-validation methods [via linear and logistic regression and leave-one-out cross-validation (LOOCV)] to assess the ability of T waves to predict serum potassium levels or hyperkalemia (defined as serum potassium ≥ 5.5 mEq/L). We included the following clinical variables as a candidate for the predictive models: peaked T waves, T wave maximum amplitude, T wave/R wave maximum amplitude ratio, age, and indicator variates for oliguria, use of ACE-inhibitors, sartans, mineralocorticoid receptor antagonists, and loop diuretics. Peaked T waves poorly predicted the serum potassium levels in both full and test sample (R
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