Akademik Veri Yönetim Sistemi
European Society of Cardiology Congress 2021, London, İngiltere, 27 - 30 Ağustos 2021, ss.2481, (Özet Bildiri)
Aim:
Sudden cardiac death is the most feared complication of hypertrophic cardiomyopathy due to its tendency to appear in young asymptomatic patients.
Although intracardiac defibrillators proved to be most efficient treatment, the selection of patients for primary prevention is controversial due to
lack of randomized trials. Current risk algorithms fail to determine all high risk patients. In this study, we aimed to evaluate high risk factors to predict
cardiovascular events in our hypertrophic cardiomyopathy population.
Method:
A total of 254 patients who fulfill the criteria of hypertrophic cardiomyopathy by echocardiography between 2011 and 2020 were retrospectively
included in the study. Data on recent comprehensive vital clinical and survival status were obtained up to 30th January 2020, by hospital
visit or from hospital system. The primary endpoints were described as allcause mortality, myocardial infarction, cerebrovascular events, appropriate
ICD therapy interventions.
Results:
The median follow up in this study was 54.5 months. During follow up 18 (%7.1) all-cause mortality, 4 (%1.6) myocardial infarction, 12 (%4.7)
cerebrovascular events, 19 appropriate ICD interventions, 83 (%32.7) hospitalization due to cardiovascular cause were encountered. Median time of
the primary end points was 37.5 months. The incidence of ischemic heart disease, atrial fibrillation, syncope, nonsustained ventricular tachycardia
were higher in primary end points group. The outcomes and predictors of our study are given in Tables 1 and 2.
Conclusion:
In our study, the primary outcome was observed more frequently in high-risk patients according to the ESC algorithm, but primary
outcomes were also observed in a significant portion of low and intermediate risk patients.Therefore, current risk algorithms for sudden cardiac death
still have certain limitations in predicting clinical outcomes and new algorithms with high sensitivity and specificity are needed.