von Sanden Felix, Ptushkina Svetlana, Hock Julia, Fritz Celina, Hörer Jürgen, Hessling Gabriele, Ewert Peter, Hager Alfred, Wolf Cordula M
Department of Congenital Heart Defects and Pediatric Cardiology, German Heart Center Munich, School of Medicine & Health, Technical University of Munich, 80636 Munich, Germany.
Department of Congenital and Pediatric Heart Surgery, German Heart Center of Munich, School of Medicine & Health, Technical University of Munich, 80636 Munich, Germany.
J Cardiovasc Dev Dis. 2022 Jul 4;9(7):215. doi: 10.3390/jcdd9070215.
Patients with congenital heart disease (CHD) are at increased risk for severe arrhythmia and sudden cardiac death (SCD). Although implantable cardioverter defibrillators (ICD) effectively prevent SCD, risk stratification for primary prophylaxis in patients with CHD remains challenging. Patients with complex CHD undergoing CPET were included in this single-center study. Univariable and backwards stepwise multivariable logistic regression models were used to identify variables associated with the endpoint of severe arrhythmic event during three years of follow-up. Cut-off values were established with receiver operating characteristic (ROC) curve analysis. Survival analysis was conducted via Kaplan-Meier plots. Severe Arrhythmia was documented in 97 of 1194 patients (8.1%/3 years). Independent risk factors for severe arrhythmia during follow-up were old age and a low peak oxygen uptake (V.Opeak) on multivariable analysis. Patients with more advanced age and with V.Opeak values of less than 24.9 mL/min/kg were at significantly increased risk for the occurrence of severe arrhythmias during follow-up. The combined analysis of both risk factors yielded an additional benefit for risk assessment. Age at CPET and V.Opeak predict the risk for severe arrhythmic events and should be considered for risk stratification of SCD in patients with complex CHD.
先天性心脏病(CHD)患者发生严重心律失常和心源性猝死(SCD)的风险增加。尽管植入式心脏复律除颤器(ICD)可有效预防SCD,但CHD患者一级预防的风险分层仍然具有挑战性。本单中心研究纳入了接受心肺运动试验(CPET)的复杂CHD患者。采用单变量和向后逐步多变量逻辑回归模型来确定与三年随访期间严重心律失常事件终点相关的变量。通过受试者工作特征(ROC)曲线分析确定临界值。通过Kaplan-Meier曲线进行生存分析。1194例患者中有97例(8.1%/3年)记录到严重心律失常。多变量分析显示,随访期间严重心律失常的独立危险因素为高龄和低峰值摄氧量(V.Opeak)。年龄较大且V.Opeak值低于24.9 mL/min/kg的患者在随访期间发生严重心律失常的风险显著增加。对这两个危险因素的综合分析为风险评估带来了额外的益处。CPET时的年龄和V.Opeak可预测严重心律失常事件的风险,在复杂CHD患者SCD的风险分层中应予以考虑。