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Innovative Solutions in Health Monitoring at Home: The Real-Time Assessment of Serum Potassium Concentration from ECG

机译:家庭健康监测的创新解决方案:ECG的实时评估血清钾浓度

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Maintenance of normal potassium homeostasis is increasingly an important limiting factor in the therapy of several diseases including patients with heart failure. Nowadays, quantification of potassium concentration in the blood ([K~+]) is invasive and laboratory-based. The aims of the study were to develop a method quantifying [K~+] from the electrocardiogram (ECG) and validate it on 13 hemodialysis (HD) and 7 congenital long-QT type 2 (LQT2) patients. Reference values were obtained from blood samples. An ECG-based potassium estimator (K_(ECG)) was defined and compared to the reference values. Data from 33/39 HD sessions gave consistent results. In 6 sessions, the presence of a systematic error inhibited reliable estimates. Patient specific calibration allowed good agreement in all HD patients (error: -0.04±0.61mM). As expected, [K~+] was significantly underestimated in LQT2 patients (error: 1.24±0.75mM, p<0.01). Preliminary results show K_(ECG) estimates can be an effective tool for hyper/hypokalemic risk patient monitoring at home.
机译:普通钾稳态的维持越来越多地是几种疾病治疗中的重要限制因素,包括心力衰竭患者。如今,血液中钾浓度的定量([k〜+])是侵入性和实验室的基于实验室。该研究的目的是开发一种方法从心电图(ECG)中量化[K〜+],并在13次血液透析(HD)和7先天性长QT型(LQT2)患者上验证。从血液样品获得参考值。定义了基于ECG的钾估算器(K_(ECG))并与参考值进行比较。来自33/39 HD会话的数据给出了一致的结果。在6个会议中,存在系统误差抑制可靠的估计。患者特定校准允许在所有高清患者中允许良好的一致性(误差:-0.04±0.61mm)。如预期的那样,在LQT2患者中,[K〜+]显着低估了(误差:1.24±0.75mm,P <0.01)。初步结果显示K_(ECG)估计可以是HEAC / Hypokalem危险患者在家里监测的有效工具。

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