Validation of 12-lead tele-electrocardiogram transmission in the real-life scenario of acute coronary syndrome

Author:

Schwaab Bernhard1,Katalinic Alexander2,Richardt Gert3,Kurowski Volkhard4,Krüger Dietmar5,Mortensen Kai6,Lorenz Eduard3,Sheikhzadeh Abdolhamid7

Affiliation:

1. Department of Cardiology and Cardiovascular Rehabilitation, Curschmann Klinik, Timmendorfer Strand, Germany

2. Department of Social Medicine, University of Schleswig Holstein, Campus Lübeck, Germany

3. Department of Cardiology, Segeberger Kliniken, Bad Segeberg, Germany

4. Department of Cardiology, University of Schleswig Holstein, Campus Lübeck, Germany

5. Department of Cardiology, University of Schleswig Holstein, Campus Kiel, Germany

6. Department of Cardiology, University of Hamburg Eppendorf, Germany

7. Department of Cardiology, Segeberger Kliniken, Bad Segeberg, Germany; Department of Cardiology, University of Schleswig Holstein, Campus Lübeck, Germany

Abstract

A 12-lead electrocardiogram (ECG) recorded in patients with acute coronary syndrome (ACS) was transmitted to a call centre via telephone (tele-ECG). In 120 patients (mean age 64 years) referred to hospitals because of ACS, a standard 12-lead ECG and a tele-ECG recorded at the same time were compared by two cardiologists and one internist independently and blindly. Conduction times exhibited very good agreement between standard and tele-ECG with reliability coefficients ( R) of 0.91, 0.86 and 0.89 for the PQ-, QRS- and QT interval, respectively. Rhythm analysis was correct in 99% of the cases. Negative T waves, ST-segment elevation and depression were detected with very high agreement in the tele-ECG exhibiting kappa ( κ) coefficients between 0.75 and 0.96. The correct ECG diagnosis of ST-elevation myocardial infarction (STEMI) was possible with excellent agreement between standard and tele-ECG, showing κ coefficients of 0.96, 0.99 and 0.99, respectively, for three investigators. The 12-lead tele-ECG recorder proved accurate for the detection of acute STEMI.

Publisher

SAGE Publications

Subject

Health Informatics

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