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  • 标题:Noninvasive quantification of blood potassium concentration from ECG in hemodialysis patients
  • 本地全文:下载
  • 作者:Cristiana Corsi ; Marilisa Cortesi ; Giulia Callisesi
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • DOI:10.1038/srep42492
  • 语种:English
  • 出版社:Springer Nature
  • 摘要: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 (TS/A) was used as starting point for an ECG-based [K(+)] estimate (KECG). Leave-one-out cross-validation was performed. Agreement between KECG 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 KECG 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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