Key result
An ECG-based potassium estimator using the T-wave slope-to-amplitude ratio showed promising agreement with blood potassium levels in hemodialysis patients, with a mean absolute error of 0.46 ± 0.39 mM.
Why the study?
Does an ECG-based T-wave analysis method accurately quantify blood potassium concentration in hemodialysis and LQT2 patients?
Observational (n=57)
Yes
Does an ECG-based T-wave analysis method accurately quantify blood potassium concentration in hemodialysis and LQT2 patients?
An ECG-based method using the T-wave slope-to-amplitude ratio can noninvasively estimate blood potassium concentration with reasonable accuracy, offering a potential tool for monitoring patients at risk for dyskalemia.
Should not yet change potassium monitoring in hemodialysis; leaves open prospective validation of ECG estimators.
Blood potassium concentration ([K + ]) influences the electrocardiogram (ECG), particularly T-wave morphology. We developed a new method to quantify [K + ] from T-wave analysis and tested its clinical applicability on data from dialysis patients, in whom [K + ] varies significantly during the therapy. To elucidate the mechanism linking [K + ] and T-wave, we also analysed data from long QT syndrome type 2 (LQT2) patients, testing the hypothesis that our method would have underestimated [K + ] in these patients. Moreover, a computational model was used to explore the physiological processes underlying our estimator at the cellular level. We analysed 12-lead ECGs from 45 haemodialysis and 12 LQT2 patients. T-wave amplitude and downslope were calculated from the first two eigenleads. The T-wave slope-to-amplitude ratio (T S/A ) was used as starting point for an ECG-based [K + ] estimate (K ECG ). Leave-one-out cross-validation was performed. Agreement between K ECG and reference [K + ] from blood samples was promising (error: −0.09 ± 0.59 mM, absolute error: 0.46 ± 0.39 mM). The analysis on LQT2 patients, also supported by the outcome of computational analysis, reinforces our interpretation that, at the cellular level, delayed-rectifier potassium current is a main contributor of K ECG correlation to blood [K + ]. Following a comprehensive validation, this method could be effectively applied to monitor patients at risk for hyper/hypokalemia.
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Corsi et al. (2017) conducted an observational in Hemodialysis and Long QT Syndrome Type 2 (n=57). ECG-based potassium estimation (KECG) vs. Blood potassium concentration (KLAB) was evaluated on Agreement between KECG and reference [K+] from blood samples (absolute error) (absolute error 0.46 mM). An ECG-based potassium estimator using the T-wave slope-to-amplitude ratio showed promising agreement with blood potassium levels in hemodialysis patients, with a mean absolute error of 0.46 ± 0.39 mM.
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