如何在S-ICD植入前更好地识别高危不适当电击患者:来自多中心经验的结果

M. Ben Kilani, P. Jacon, N. Badenco, C. Marquié, P. Ollitrault, N. Béhar, P. Khattar, A. Carabelli, S. Venier, P. Defaye
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引用次数: 0

摘要

资金来源类型:无。尽管最近有所改善,但在“现实生活”实践中,皮下植入式心律转复除颤器(S-ICD)患者的不适当电击(IAS)仍然是一个挑战。本研究的目的是评估最新一代S-ICD的IAS术前预测因素,特别关注筛查过程中获得的数据。在2017年1月至2020年3月期间,300名植入第3代S-ICD系统用于一级和二级预防的患者纳入了这项多中心研究。所有患者至少6个月的随访(FU)和术前筛查程序数据是强制性的。平均随访22.8(±11.4)个月后,12.3%的患者接受了适当的治疗;26例患者(8.7%)经历了不适当的治疗(发病率为4.9 / 100患者年)。不适当休克发作总数为48次;9例患者出现多次发作。引起IAS的原因有:室上性心律失常(34.6%)、心源性心律失常(30.7%)和心外噪声过感(38.4%)。在单因素分析中,术前筛查时所有3种传感载体的可用性显著减少了不适当治疗的发生(风险比[HR], 0.32;95%可信区间[CI], 0.12-0.89, P=0.028)。临床术前S-ICD不适当电击预测因子为:室上性心动过速(SVT)史(HR, 4.42;95% ci, 1.45-13.47;P = 0.009);超重(BMI 25: HR 1.93;95% ci, 0.83-0.4.48;P = 0.13);QRS持续时间(HR, 1.01;95% ci, 0.1-1.03;P=0.14), I型导联QRS/T波比较低(阈值< 3:HR, 4.44;95% ci, 1.88-10.48;P = 0.001)。通过多变量分析,与IAS相关的独立因素为:术前筛查时少于3个传感载体的可用性(p 25;p < 0.05)。自动术前筛查数据作为IAS的定量预测指标具有很高的价值。在识别IAS高危患者时,应考虑心电图特异性与其他临床因素的关联。
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How to better identify patients at high risk of inappropriate shocks before S-ICD implantation: Results from a multicenter experience
Type of funding sources: None. Despite the recent improvements, inappropriate shocks (IAS) in patients implanted with subcutaneous implantable cardioverter-defibrillator (S-ICD) remain a challenge in "real-life" practice. The purpose of this study was to assess the preoperative predictive factors of IAS with the latest generation of S-ICD, with a particular focus on data obtained during the screening procedure. Between January 2017 and March 2020, 300 patients implanted with Generation 3 S-ICD system for primary and secondary prevention were included in this multicentric study. Follow-up (FU) of at least 6 months and preoperative screening procedure data were mandatory for all patients. After a mean follow-up of 22.8 (±11.4) months, appropriate therapies occurred in 12.3% patients; while 26 patients (8.7%) experienced inappropriate therapies (incidence 4.9 per 100 patient-years). The total number of inappropriate shock episodes was 48; 9 patients experienced multiple episodes. Causes of IAS were: supraventricular arrhythmias (34.6%), cardiac (30.7%) and extra-cardiac noise oversensing (38.4%). In univariate analysis, availability of all 3 sensing vectors during preoperative screening significantly reduced inappropriate therapies occurrence (hazard ratio [HR], 0.32; 95% confidence interval [CI], 0.12-0.89, P=0.028). Clinical preoperative S-ICD inappropriate shocks predictors were: history of Supraventricular Tachycardia (SVT)(HR, 4.42; 95% CI, 1.45-13.47; P=0.009); overweight (BMI>25: HR, 1.93; 95% CI, 0.83-0.4.48; P=0.13); QRS duration (HR, 1.01; 95% CI, 0.1-1.03; P=0.14) and lower QRS/T wave ratio in lead I (for a threshold < 3: HR, 4.44; 95% CI, 1.88-10.48; P=0.001). By multivariate analysis, independent factors associated with IAS were: the availability of less than 3 sensing vectors during preoperative screening (p<0.05), a low QRS/T wave ratio in lead I (for a threshold <3; p<0.001), history of SVT (p<0.001) and overweight (BMI> 25; p<0.05). Automatic preoperative screening data is of high interest as a predictor of IAS with a quantitative value. ECG specificities in association with other clinical factors should be taken into consideration to identify patients at high risk for IAS.
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