Validation of a novel method for non-invasive blood potassium quantification from the ECG

Cristiana Corsi, Johan Debie, Carlo Napolitano, Silvia Priori, David Mortara, Stefano Severi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Blood potassium concentration [K+] has a strong influence on ECG and particularly on T-wave morphology. We previously developed a method to quantify [K+] from ECG analysis. The aims of the study were i) to test this method quantifying [K+] on a larger group of hemodialysis (HD) patients ii) to give a mechanical interpretation of the link between [K+] and ECG by testing the estimator on congenital LQT2 patients. The ECG-based potassium estimator (KECG), based on the ratio between the T-wave descending slope and the T-wave amplitude (TS/A) was tested on 69 HD sessions (23 patients, 3 sessions each) and on 12 LQT2 patients. ECG recordings were acquired and [K+] values were measured from blood samples (KLAB). The agreement between KECG and KLAB was satisfactory in the HD patients (absolute error: 0.43±0.28mM). The systematic error was very small (0.05mM) while the standard deviation was 0.5mM. As expected, in LQT2 patients our method significantly underestimated [K+] (error: 1.15±0.68mM), thus pointing to the IKr dependence on extracellular potassium in determining the link between [K+] and T-wave morphology. This method could be effectively applied to monitor patients at risk for hyper- and hypokalemia.

Original languageEnglish
Title of host publicationComputing in Cardiology
Pages105-108
Number of pages4
Volume39
Publication statusPublished - 2012
Event39th Computing in Cardiology Conference, CinC 2012 - Krakow, Poland
Duration: Sep 9 2012Sep 12 2012

Other

Other39th Computing in Cardiology Conference, CinC 2012
CountryPoland
CityKrakow
Period9/9/129/12/12

Fingerprint

Electrocardiography
Potassium
Blood
Renal Dialysis
Systematic errors
Hyperkalemia
Hypokalemia
Testing

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Computer Science(all)

Cite this

Corsi, C., Debie, J., Napolitano, C., Priori, S., Mortara, D., & Severi, S. (2012). Validation of a novel method for non-invasive blood potassium quantification from the ECG. In Computing in Cardiology (Vol. 39, pp. 105-108). [6420341]

Validation of a novel method for non-invasive blood potassium quantification from the ECG. / Corsi, Cristiana; Debie, Johan; Napolitano, Carlo; Priori, Silvia; Mortara, David; Severi, Stefano.

Computing in Cardiology. Vol. 39 2012. p. 105-108 6420341.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Corsi, C, Debie, J, Napolitano, C, Priori, S, Mortara, D & Severi, S 2012, Validation of a novel method for non-invasive blood potassium quantification from the ECG. in Computing in Cardiology. vol. 39, 6420341, pp. 105-108, 39th Computing in Cardiology Conference, CinC 2012, Krakow, Poland, 9/9/12.
Corsi C, Debie J, Napolitano C, Priori S, Mortara D, Severi S. Validation of a novel method for non-invasive blood potassium quantification from the ECG. In Computing in Cardiology. Vol. 39. 2012. p. 105-108. 6420341
Corsi, Cristiana ; Debie, Johan ; Napolitano, Carlo ; Priori, Silvia ; Mortara, David ; Severi, Stefano. / Validation of a novel method for non-invasive blood potassium quantification from the ECG. Computing in Cardiology. Vol. 39 2012. pp. 105-108
@inproceedings{8529e1e716a24438919bcf5a32f41194,
title = "Validation of a novel method for non-invasive blood potassium quantification from the ECG",
abstract = "Blood potassium concentration [K+] has a strong influence on ECG and particularly on T-wave morphology. We previously developed a method to quantify [K+] from ECG analysis. The aims of the study were i) to test this method quantifying [K+] on a larger group of hemodialysis (HD) patients ii) to give a mechanical interpretation of the link between [K+] and ECG by testing the estimator on congenital LQT2 patients. The ECG-based potassium estimator (KECG), based on the ratio between the T-wave descending slope and the T-wave amplitude (TS/A) was tested on 69 HD sessions (23 patients, 3 sessions each) and on 12 LQT2 patients. ECG recordings were acquired and [K+] values were measured from blood samples (KLAB). The agreement between KECG and KLAB was satisfactory in the HD patients (absolute error: 0.43±0.28mM). The systematic error was very small (0.05mM) while the standard deviation was 0.5mM. As expected, in LQT2 patients our method significantly underestimated [K+] (error: 1.15±0.68mM), thus pointing to the IKr dependence on extracellular potassium in determining the link between [K+] and T-wave morphology. This method could be effectively applied to monitor patients at risk for hyper- and hypokalemia.",
author = "Cristiana Corsi and Johan Debie and Carlo Napolitano and Silvia Priori and David Mortara and Stefano Severi",
year = "2012",
language = "English",
isbn = "9781467320740",
volume = "39",
pages = "105--108",
booktitle = "Computing in Cardiology",

}

TY - GEN

T1 - Validation of a novel method for non-invasive blood potassium quantification from the ECG

AU - Corsi, Cristiana

AU - Debie, Johan

AU - Napolitano, Carlo

AU - Priori, Silvia

AU - Mortara, David

AU - Severi, Stefano

PY - 2012

Y1 - 2012

N2 - Blood potassium concentration [K+] has a strong influence on ECG and particularly on T-wave morphology. We previously developed a method to quantify [K+] from ECG analysis. The aims of the study were i) to test this method quantifying [K+] on a larger group of hemodialysis (HD) patients ii) to give a mechanical interpretation of the link between [K+] and ECG by testing the estimator on congenital LQT2 patients. The ECG-based potassium estimator (KECG), based on the ratio between the T-wave descending slope and the T-wave amplitude (TS/A) was tested on 69 HD sessions (23 patients, 3 sessions each) and on 12 LQT2 patients. ECG recordings were acquired and [K+] values were measured from blood samples (KLAB). The agreement between KECG and KLAB was satisfactory in the HD patients (absolute error: 0.43±0.28mM). The systematic error was very small (0.05mM) while the standard deviation was 0.5mM. As expected, in LQT2 patients our method significantly underestimated [K+] (error: 1.15±0.68mM), thus pointing to the IKr dependence on extracellular potassium in determining the link between [K+] and T-wave morphology. This method could be effectively applied to monitor patients at risk for hyper- and hypokalemia.

AB - Blood potassium concentration [K+] has a strong influence on ECG and particularly on T-wave morphology. We previously developed a method to quantify [K+] from ECG analysis. The aims of the study were i) to test this method quantifying [K+] on a larger group of hemodialysis (HD) patients ii) to give a mechanical interpretation of the link between [K+] and ECG by testing the estimator on congenital LQT2 patients. The ECG-based potassium estimator (KECG), based on the ratio between the T-wave descending slope and the T-wave amplitude (TS/A) was tested on 69 HD sessions (23 patients, 3 sessions each) and on 12 LQT2 patients. ECG recordings were acquired and [K+] values were measured from blood samples (KLAB). The agreement between KECG and KLAB was satisfactory in the HD patients (absolute error: 0.43±0.28mM). The systematic error was very small (0.05mM) while the standard deviation was 0.5mM. As expected, in LQT2 patients our method significantly underestimated [K+] (error: 1.15±0.68mM), thus pointing to the IKr dependence on extracellular potassium in determining the link between [K+] and T-wave morphology. This method could be effectively applied to monitor patients at risk for hyper- and hypokalemia.

UR - http://www.scopus.com/inward/record.url?scp=84875642321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875642321&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84875642321

SN - 9781467320740

VL - 39

SP - 105

EP - 108

BT - Computing in Cardiology

ER -