María López Blázquez , María Ángeles Espinosa Castro , Reyes Álvarez García-Rovés , Miriam Centeno Jiménez , Ana Isabel Fernández Ávila , Francisco Javier Bermejo Thomas , Constancio Medrano López
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引用次数: 0
Abstract
Introduction
Models for estimating the risk of sudden cardiac death (SCD) in pediatric hypertrophic cardiomyopathy (HCM) used in our setting do not consider some parameters of routine clinical practice. The objective was to identify non-classical risk factors and evaluate their prognostic value.
Patients and methods
Retrospective observational study, including patients with isolated HCM 0-18 years old, evaluating clinical, genetic, and imaging variables. The risk of SCD or major arrhythmic cardiac events (MACEs) was estimated according to the three most widely used European models (HCM Risk-SCD, European Society of Cardiology [ESC] algorithm, and HCM Risk-Kids), analyzing their predictive capacity by adding genotyping and advanced cardiac imaging parameters.
Results
The sample included 77 patients followed up for 5.25 years. Ten (13%) experienced a MACE. We found that MACE was significantly associated with myocardial deformation and positive genotype status, and associated, although not significantly, to late gadolinium enhancement (LGE) in cardiac MRI (P = .062). Events were more frequent (hazard ratio = 18.5; P = .006) and occurred earlier (P = .022) in association with variants in genes other than MYBPC3. The inclusion of “genotype other than MYBPC3” and “presence of LGE” improved the predictive capacity of the models for the high-risk (C-statistic 0.94 vs 0.84 with HCM Risk-SCD; 0.88 vs 0.74 with ESC algorithm; 0.90 vs 0.80 with HCM Risk-Kids) and intermediate-risk categories (C-statistic 0.88 vs 0.51 with HCM Risk-SCD; 0.85 vs 0.64 with ESC algorithm; 0.84 vs 0.51 with HCM Risk-Kids).
Conclusions
The predictive capacity of European risk models improves by incorporating the variables “genotype other than MYBPC3” and “presence of LGE”, although larger studies are required to validate their prognostic value.
在我们的研究中,用于估计儿童肥厚性心肌病(HCM)心脏性猝死(SCD)风险的模型没有考虑常规临床实践的一些参数。目的是确定非经典危险因素并评估其预后价值。患者和方法回顾性观察研究,纳入0-18岁孤立性HCM患者,评估临床、遗传和影像学变量。根据三种最广泛使用的欧洲模型(HCM risk -SCD、欧洲心脏病学会[ESC]算法和HCM risk - kids)估计SCD或主要心律失常事件(mace)的风险,并通过添加基因分型和高级心脏成像参数分析其预测能力。结果共纳入77例患者,随访5.25年。10例(13%)经历了MACE。我们发现MACE与心肌变形和阳性基因型状态显著相关,并与心脏MRI晚期钆增强(LGE)相关,但不显著(P = 0.062)。事件更频繁(风险比 = 18.5;P = 0.006),发生时间更早(P = 0.022),与MYBPC3以外的基因变异有关。纳入“非MYBPC3基因型”和“存在LGE”提高了模型对高危人群的预测能力(c统计量0.94 vs 0.84与HCM风险- scd;0.88 vs 0.74与ESC算法;HCM -儿童组为0.90 vs 0.80,中危组为0.88 vs 0.51;使用ESC算法0.85 vs 0.64;HCM风险-儿童组0.84 vs 0.51)。结论欧洲风险模型的预测能力通过纳入“除MYBPC3外的基因型”和“LGE的存在”等变量得到提高,尽管需要更大规模的研究来验证其预后价值。