Fischer Alicia Jeanette, Bauer Ulrike Mm, Frey Michael, Beudt Jens, Baumgartner Helmut, Diller Gerhard-Paul
Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Germany.
National Register for Congenital Heart Defects, Berlin, Germany.
Int J Cardiol Congenit Heart Dis. 2022 May 21;9:100396. doi: 10.1016/j.ijcchd.2022.100396. eCollection 2022 Sep.
Sudden cardiac death (SCD) is one of the most frequent causes of death in adult patients with congenital heart disease (ACHD). Despite the rare frequency of its occurrence, the incident appears often when unexpected, and many affected patients had not been identified priorly. Data on predictors for SCD are limited since the total number of ACHD is low. As the cohort is heterogeneous, it is difficult to define uniform risk factors that apply to all ACHD. Complexity of the congenital heart disease appears to play a role, but other factors may also be relevant and have not been sufficiently identified yet. In current guidelines, recommendations are primarily based on data of patients without congenital heart disease. With the ATROPOS registry, we are aiming to identify reliable risk factors for SCD. The registry enables physicians globally to include patients with congenital heart disease who died of or survived SCD. After acquisition, the data will be compared to an age and complexity of disease matched cohort to perform a case-control analysis. Subsequently, a further analysis will be performed using deep learning algorithms with artificial intelligence to amplify the gathered information and find reliable risk factors.
心脏性猝死（SCD）是成年先天性心脏病（ACHD）患者最常见的死亡原因之一。尽管其发生频率很低，但往往在意外情况下出现，许多受影响的患者此前并未被识别出来。由于ACHD的总数较少，关于SCD预测因素的数据有限。由于该队列具有异质性，因此难以定义适用于所有ACHD的统一风险因素。先天性心脏病的复杂性似乎起了作用，但其他因素可能也相关，且尚未得到充分识别。在当前指南中，建议主要基于无先天性心脏病患者的数据。通过ATROPOS注册研究，我们旨在识别SCD的可靠风险因素。该注册研究使全球的医生能够纳入死于SCD或从SCD中存活的先天性心脏病患者。数据收集后，将与年龄和疾病复杂性相匹配的队列进行比较，以进行病例对照分析。随后，将使用人工智能深度学习算法进行进一步分析，以扩充收集到的信息并找到可靠的风险因素。
