Predictors of appropriate therapies delivered by the implantable cardioverter-defibrillator in patients with coronary artery disease during long-term period.

Autor: Atabekov TA; Department of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia. kgma1011@mail.ru., Sazonova SI; Department of Nuclear Medicine, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Khlynin MS; Laboratory of High Technologies for Diagnostics and Treatment of Cardiac Arrhythmias, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Muslimova EF; Laboratory of Molecular and Cellular Pathology and Gene Diagnostics, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Krivolapov SN; Department of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Kurlov IO; Department of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Rebrova TY; Laboratory of Molecular and Cellular Pathology and Gene Diagnostics, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Mishkina AI; Department of Nuclear Medicine, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Afanasiev SA; Laboratory of Molecular and Cellular Pathology and Gene Diagnostics, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Batalov RE; Laboratory of High Technologies for Diagnostics and Treatment of Cardiac Arrhythmias, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia., Popov SV; Academician of the Russian Academy of Sciences, Director, Department of Surgical Arrhythmology and Cardiac Pacing, Cardiology Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Russian Federation, Kievskaya st., 111a, Tomsk, 634012, Russia.
Jazyk: angličtina
Zdroj: The international journal of cardiovascular imaging [Int J Cardiovasc Imaging] 2024 Sep; Vol. 40 (9), pp. 1863-1874. Date of Electronic Publication: 2024 Jul 04.
DOI: 10.1007/s10554-024-03172-1
Abstrakt: This prospective study aimed to investigate the ability of cardiac autonomic nervous system (CANS) activity assessment to predict appropriate implantable cardioverter-defibrillator (ICD) therapy in patients with coronary artery disease (CAD) during long-term follow-up period. We enrolled patients with CAD and ICD implantation indications that included both secondary and primary prevention of sudden cardiac death. Before ICD implantation CANS was assessed by using heart rate variability (HRV), myocardium scintigraphy with 123 I-meta-iodobenzylguanidine ( 123 I-MIBG) and erythrocyte membranes β-adrenoreactivity (EMA). The study's primary endpoint was the documentation of appropriate ICD therapy. Of 45 (100.0%) patients, 15 (33.3%) had appropriate ICD therapy during 36 months follow-up period. Patients with appropriate ICD therapy were likely to have a higher summed 123 I-MIBG score delayed (p < 0.001) and lower 123 I-MIBG washout rate (p = 0.008) indicators. These parameters were independently associated with endpoint in univariable and multivariable logistic regression. We created a logistic equation and calculated a cut-off value. The resulting ROC curve revealed a discriminative ability with AUC of 0.933 (95% confidence interval 0.817-0.986; sensitivity 100.00%; specificity 93.33%). Combined CANS activity assessment is useful in prediction of appropriate ICD therapy in patients with CAD during long-term follow-up period after device implantation.
(© 2024. The Author(s), under exclusive licence to Springer Nature B.V.)
Databáze: MEDLINE
Externí odkaz: