Nabil El-Sherif1,2, Gioia Turitto3. 1. SUNY Downstate Medical Center, Brooklyn, NY. 2. NY Harbor VA Healthcare System, Brooklyn, NY. 3. New York Methodist Hospital, Brooklyn, NY.
Abstract
BACKGROUND: The aim of the study is to contrast the role of conventional ambulatory electrocardiographic monitoring (AEM) artifacts with a less emphasized problem with potentially more serious implications, that is, the failure to recognize, and therefore misinterpret, a genuine arrhythmia episode in the AEM recording. METHODS: The study material included 500 Holter recordings and 500 recordings from the cardiac telemetry unit. RESULTS: Electrocardiographic (ECG) artifacts were more common in telemetry recordings (5.6%) compared to Holter recordings (4%) for a total of 4.8%. There were 35 examples of misinterpretation of AEM recordings (3.5%). These were significantly more common in telemetry recordings (2.6%) compared to Holter recordings (0.9%). The most common ECG artifacts were examples of pseudo ventricular tachyarrhythmia (VT). The majority of misinterpretation (26 of 35 examples) were fast supraventricular tachyarrhythmias with aberrant QRS (including six examples of atrial flutter with periods of 1:1 atrioventricular conduction) that were misdiagnosed as ventricular VT. Other examples were misinterpretation of arrhythmic episodes consistent with sick sinus syndrome, pacemaker malfunction, and long QT syndrome. Only 5 of 48 examples of AEM artifacts resulted in management errors of commission or errors of omission compared to all 35 examples of misinterpretation. CONCLUSIONS: Compared to conventional artifacts in AEM, misinterpretation of nonartifactual arrhythmic episodes consistently resulted in management errors. Misinterpretation was significantly more common with telemetry recordings compared to Holter ECG. This highlights the need for more appropriate training of the entire clinical team in charge of the management of the cardiac telemetry unit.
BACKGROUND: The aim of the study is to contrast the role of conventional ambulatory electrocardiographic monitoring (AEM) artifacts with a less emphasized problem with potentially more serious implications, that is, the failure to recognize, and therefore misinterpret, a genuine arrhythmia episode in the AEM recording. METHODS: The study material included 500 Holter recordings and 500 recordings from the cardiac telemetry unit. RESULTS: Electrocardiographic (ECG) artifacts were more common in telemetry recordings (5.6%) compared to Holter recordings (4%) for a total of 4.8%. There were 35 examples of misinterpretation of AEM recordings (3.5%). These were significantly more common in telemetry recordings (2.6%) compared to Holter recordings (0.9%). The most common ECG artifacts were examples of pseudo ventricular tachyarrhythmia (VT). The majority of misinterpretation (26 of 35 examples) were fast supraventricular tachyarrhythmias with aberrant QRS (including six examples of atrial flutter with periods of 1:1 atrioventricular conduction) that were misdiagnosed as ventricular VT. Other examples were misinterpretation of arrhythmic episodes consistent with sick sinus syndrome, pacemaker malfunction, and long QT syndrome. Only 5 of 48 examples of AEM artifacts resulted in management errors of commission or errors of omission compared to all 35 examples of misinterpretation. CONCLUSIONS: Compared to conventional artifacts in AEM, misinterpretation of nonartifactual arrhythmic episodes consistently resulted in management errors. Misinterpretation was significantly more common with telemetry recordings compared to Holter ECG. This highlights the need for more appropriate training of the entire clinical team in charge of the management of the cardiac telemetry unit.
Authors: Jonathan S Steinberg; Niraj Varma; Iwona Cygankiewicz; Peter Aziz; Paweł Balsam; Adrian Baranchuk; Daniel J Cantillon; Polychronis Dilaveris; Sergio J Dubner; Nabil El-Sherif; Jaroslaw Krol; Malgorzata Kurpesa; Maria Teresa La Rovere; Suave S Lobodzinski; Emanuela T Locati; Suneet Mittal; Brian Olshansky; Ewa Piotrowicz; Leslie Saxon; Peter H Stone; Larisa Tereshchenko; Mintu P Turakhia; Gioia Turitto; Neil J Wimmer; Richard L Verrier; Wojciech Zareba; Ryszard Piotrowicz Journal: Ann Noninvasive Electrocardiol Date: 2017-05 Impact factor: 1.468
Authors: Abimbola A Akintola; Vera van de Pol; Daniel Bimmel; Arie C Maan; Diana van Heemst Journal: Front Physiol Date: 2016-09-21 Impact factor: 4.566