T wave amplitude and the use of loop diuretics had also poor accuracy in predicting hyperkalemia in both full and test sample. Nonetheless, the model accuracy was poor in both full and test sample. The selection algorithm based on Bayesian information criterion identified T wave amplitude and use of loop diuretics as the best subset of variables predicting serum potassium. Peaked T waves poorly predicted the serum potassium levels in both full and test sample (R 2 = 0.03 and R 2 = 0.01, respectively), and also poorly predicted hyperkalemia. 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. We used the best subset selection and cross-validation methods to assess the ability of T waves to predict serum potassium levels or hyperkalemia (defined as serum potassium ≥ 5.5 mEq/L). Moreover, no studies have been conducted specifically in patients with acute kidney injury (AKI). While the presence of peaked T waves is the most frequent ECG alteration, reported findings on ECG sensitivity in detecting hyperkalemia are conflicting. Electrocardiographic (ECG) alterations are common in hyperkalemic patients.
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