OBJECTIVES This study sought to test specialized processing of laser Doppler signals for discriminating ventricular fibrillation (VF) from common causes of inappropriate therapies. BACKGROUND Inappropriate implantable cardioverter-defibrillator (ICD) therapies remain a clinically important problem associated with morbidity and mortality. Tissue perfusion biomarkers, implemented to assist automated diagnosis of VF, sometimes mistake artifacts and random noise for perfusion, which could lead to shocks being inappropriately withheld. METHODS The study tested a novel processing algorithm that combines electrogram data and laser Doppler perfusion monitoring as a method for assessing circulatory status. Fifty patients undergoing VF induction during ICD implantation were recruited. Noninvasive laser Doppler and continuous electrograms were recorded during both sinus rhythm and VF. Two additional scenarios that might have led to inappropriate shocks were simulated for each patient: ventricular lead fracture and T-wave oversensing. The laser Doppler was analyzed using 3 methods for reducing noise: 1) running mean; 2) oscillatory height; and 3) a novel quantification of electromechanical coupling which gates laser Doppler relative to electrograms. In addition, the algorithm was tested during exercise-induced sinus tachycardia. RESULTS Only the electromechanical coupling algorithm found a clear perfusion cut off between sinus rhythm and VF (sensitivity and specificity of 100%). Sensitivity and specificity remained at 100% during simulated lead fracture and electrogram oversensing. (Area under the curve running mean: 0.91; oscillatory height: 0.86; electromechanical coupling: 1.00). Sinus tachycardia did not cause false positive results. CONCLUSIONS Quantifying the coupling between electrical and perfusion signals increases reliability of discrimination between VF and artifacts that ICDs may interpret as VF. Incorporating such methods into future ICDs may safely permit reductions of inappropriate shocks. Crown Copyright (C) 2019 Published by Elsevier on behalf of the American College of Cardiology Foundation.
机构:
Hosp Rio, Dept Cardiol Cardioteam, Rio De Janeiro, Brazil
Fiocruz MS, Fundacao Oswaldo Cruz, Natl Inst Infectol Evandro Chagas, BR-21045900 Rio De Janeiro, BrazilHosp Rio, Dept Cardiol Cardioteam, Rio De Janeiro, Brazil
Veloso, Henrique Horta
Chaves, Jefferson Cavalcanti
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Hosp Rio, Dept Cardiol Cardioteam, Rio De Janeiro, Brazil
Univ Estado Rio De Janeiro, Hosp Pedro Ernesto, Dept Cardiovasc Surg, Rio De Janeiro, BrazilHosp Rio, Dept Cardiol Cardioteam, Rio De Janeiro, Brazil
Chaves, Jefferson Cavalcanti
Sobrinho, Jose Jazbik
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Univ Estado Rio De Janeiro, Hosp Pedro Ernesto, Dept Cardiovasc Surg, Rio De Janeiro, BrazilHosp Rio, Dept Cardiol Cardioteam, Rio De Janeiro, Brazil