BACKGROUND: The aim of the study was to create a straightforward method to rule out abnormalities in electrocardiograms (ECGs) performed in patients with pacemakers. METHODS: The TBC method screens the ECG for any of the following findings: Tachycardia with pacing spikes, Bradycardia without spikes and Chaos with spikes unrelated to QRS-T complexes. T was considered to advise for patient assessment and B and C to require referral for urgent pacemaker evaluation. The diagnostic accuracy of the algorithm was validated using a cohort of 151 ECGs with normal and dysfunctional pacemakers. The effect of the algorithm was then evaluated for diagnostic skills and management of patients with pacemakers by non-cardiologists, comparing their diagnostic accuracy before and after teaching the algorithm. RESULTS: The TBC algorithm had a sensitivity of 86% and a specificity of 94% in diagnosing a malfunctioning pacemaker. The diagnostic skills and patient referral were significantly improved (74.8% vs. 89.5%, p < 0.001; and 57.4% vs. 83%, p < 0.001). CONCLUSIONS: TBC is an easy to remember and apply method to rule out severe abnormalities in ECGs of patients with pacemakers. TBC algorithm has a very good diagnostic capability and is easily applied by non-expert physicians with good results.
BACKGROUND: The aim of the study was to create a straightforward method to rule out abnormalities in electrocardiograms (ECGs) performed in patients with pacemakers. METHODS: The TBC method screens the ECG for any of the following findings: Tachycardia with pacing spikes, Bradycardia without spikes and Chaos with spikes unrelated to QRS-T complexes. T was considered to advise for patient assessment and B and C to require referral for urgent pacemaker evaluation. The diagnostic accuracy of the algorithm was validated using a cohort of 151 ECGs with normal and dysfunctional pacemakers. The effect of the algorithm was then evaluated for diagnostic skills and management of patients with pacemakers by non-cardiologists, comparing their diagnostic accuracy before and after teaching the algorithm. RESULTS: The TBC algorithm had a sensitivity of 86% and a specificity of 94% in diagnosing a malfunctioning pacemaker. The diagnostic skills and patient referral were significantly improved (74.8% vs. 89.5%, p < 0.001; and 57.4% vs. 83%, p < 0.001). CONCLUSIONS:TBC is an easy to remember and apply method to rule out severe abnormalities in ECGs of patients with pacemakers. TBC algorithm has a very good diagnostic capability and is easily applied by non-expert physicians with good results.
Authors: Juan Carlos Gómez-Polo; Javier Higueras Nafría; Pedro Martínez-Losas; Victoria Cañadas-Godoy; Ramón Bover-Freire; Julián Pérez-Villacastín Journal: Rev Esp Cardiol (Engl Ed) Date: 2016-10-27
Authors: M J Pekka Raatikainen; David O Arnar; Katja Zeppenfeld; Jose Luis Merino; Francisco Levya; Gerhardt Hindriks; Karl-Heinz Kuck Journal: Europace Date: 2015-01 Impact factor: 5.214