Department of Cardiology, Heart Center, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, Netherlands.
Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, Netherlands.
Europace. 2024 Mar 30;26(4). doi: 10.1093/europace/euae069.
Recently, a genetic variant-specific prediction model for phospholamban (PLN) p.(Arg14del)-positive individuals was developed to predict individual major ventricular arrhythmia (VA) risk to support decision-making for primary prevention implantable cardioverter defibrillator (ICD) implantation. This model predicts major VA risk from baseline data, but iterative evaluation of major VA risk may be warranted considering that the risk factors for major VA are progressive. Our aim is to evaluate the diagnostic performance of the PLN p.(Arg14del) risk model at 3-year follow-up.
We performed a landmark analysis 3 years after presentation and selected only patients with no prior major VA. Data were collected of 268 PLN p.(Arg14del)-positive subjects, aged 43.5 ± 16.3 years, 38.9% male. After the 3 years landmark, subjects had a mean follow-up of 4.0 years (± 3.5 years) and 28 (10%) subjects experienced major VA with an annual event rate of 2.6% [95% confidence interval (CI) 1.6-3.6], defined as sustained VA, appropriate ICD intervention, or (aborted) sudden cardiac death. The PLN p.(Arg14del) risk score yielded good discrimination in the 3 years landmark cohort with a C-statistic of 0.83 (95% CI 0.79-0.87) and calibration slope of 0.97.
The PLN p.(Arg14del) risk model has sustained good model performance up to 3 years follow-up in PLN p.(Arg14del)-positive subjects with no history of major VA. It may therefore be used to support decision-making for primary prevention ICD implantation not merely at presentation but also up to at least 3 years of follow-up.
最近,开发了一种针对磷酸化兰尼碱(PLN)p.(Arg14del)阳性个体的基因变异特异性预测模型,以预测个体发生主要室性心律失常(VA)的风险,从而为植入式心脏复律除颤器(ICD)的一级预防植入提供决策支持。该模型基于基线数据预测主要 VA 风险,但考虑到主要 VA 的危险因素是进行性的,可能需要对主要 VA 风险进行迭代评估。我们的目的是在 3 年随访时评估 PLN p.(Arg14del)风险模型的诊断性能。
我们在发病后 3 年进行了一个时间点分析,并仅选择了没有先前发生主要 VA 的患者。共收集了 268 名 PLN p.(Arg14del)阳性患者的数据,年龄为 43.5±16.3 岁,38.9%为男性。在 3 年时间点之后,患者的平均随访时间为 4.0 年(±3.5 年),28 名(10%)患者发生了主要 VA,年发生率为 2.6%[95%置信区间(CI)为 1.6-3.6],定义为持续性 VA、适当的 ICD 干预或(中止)心源性猝死。PLN p.(Arg14del)风险评分在 3 年时间点队列中具有良好的区分能力,C 统计量为 0.83(95%CI 为 0.79-0.87),校准斜率为 0.97。
在没有主要 VA 病史的 PLN p.(Arg14del)阳性患者中,PLN p.(Arg14del)风险模型在 3 年随访中保持了良好的模型性能。因此,它不仅可以在发病时,而且可以在至少 3 年的随访中用于支持植入式心脏复律除颤器的一级预防植入决策。