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Quantitative Evaluation of the Relationship between T-Wave-Based Features and Serum Potassium Level in Real-World Clinical Practice

Authors
Yoon, D  | Lim, HS  | Jeong, JC  | Kim, TY | Choi, JG | Jang, JH | Jeong, E | Park, CM
Citation
BioMed research international, 2018. : 3054316-3054316, 2018
Journal Title
BioMed research international
ISSN
2314-61332314-6141
Abstract
BACKGROUND: Proper management of hyperkalemia that leads to fatal cardiac arrhythmia has become more important because of the increased prevalence of hyperkalemia-prone diseases. Although T-wave changes in hyperkalemia are well known, their usefulness is debatable. We evaluated how well T-wave-based features of electrocardiograms (ECGs) are correlated with estimated serum potassium levels using ECG data from real-world clinical practice.
METHODS: We collected ECGs from a local ECG repository (MUSE) from 1994 to 2017 and extracted the ECG waveforms. Of about 1 million reports, 124,238 were conducted within 5 minutes before or after blood collection for serum potassium estimation. We randomly selected 500 ECGs and two evaluators measured the amplitude (T-amp) and right slope of the T-wave (T-right slope) on five lead waveforms (V3, V4, V5, V6, and II). Linear correlations of T-amp, T-right slope, and their normalized feature (T-norm) with serum potassium levels were evaluated using Pearson correlation coefficient analysis.
RESULTS: Pearson correlation coefficients for T-wave-based features with serum potassium between the two evaluators were 0.99 for T-amp and 0.97 for T-right slope. The coefficient for the association between T-amp, T-right slope, and T-norm, and serum potassium ranged from -0.22 to 0.02. In the normal ECG subgroup (normal ECG or otherwise normal ECG), there was no correlation between T-wave-based features and serum potassium level.
CONCLUSIONS: T-wave-based features were not correlated with serum potassium level, and their use in real clinical practice is currently limited.
MeSH

DOI
10.1155/2018/3054316
PMID
30662906
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Journal Papers > School of Medicine / Graduate School of Medicine > Cardiology
Journal Papers > School of Medicine / Graduate School of Medicine > Nephrology
Ajou Authors
윤, 덕용  |  임, 홍석  |  정, 종철
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