Suppr超能文献

His bundle pacing guided by automated intrinsic morphology matching 在窄 QRS 复合波患者中是可行的。

His bundle pacing guided by automated intrinsic morphology matching is feasible in patients with narrow QRS complexes.

机构信息

Arrhythmia and Electrophysiology Division, Heart and Lung Department, Hospital Fuerth, Teaching Hospital of Friedrich-Alexander University Erlangen, Jacob-Henle-Str. 1, 90766, Fuerth, Germany.

Biostatistics Unit, Department of Medical Sciences, University of Trieste, Trieste, Italy.

出版信息

Sci Rep. 2022 Mar 4;12(1):3606. doi: 10.1038/s41598-022-07516-6.

Abstract

Pace mapping and visual comparison of the local pacing response with the intrinsic QRS morphology form the mainstay of His bundle pacing (HBP). We evaluated the performance of a surface lead morphology match algorithm for automated classification of the pacing response in patients with narrow intrinsic QRS undergoing electroanatomic mapping (EAM)-guided HBP. HBP was attempted in 43 patients. In 28 cases with narrow QRS, the EnSite AutoMap Module was used for automated assessment of the QRS morphology resulting from pace mapping in the His cloud area with either a diagnostic catheter or the His lead. An intrinsic morphology match score (IMS) was calculated for 1.546 QRS complexes and assessed regarding its accuracy and performance in classifying the individual pacing response as either selective HBP (S-HBP), nonselective HBP (NS-HBP) or right ventricular stimulation. Automated morphology comparison of 354 intrinsic beats with the individual reference determined a test accuracy of 99% (95% CI 98.96-99.04) and a precision of 97.99-99.5%. For His-lead stimulation, an IMS ≥ 89% identified S-HBP with a sensitivity, specificity and positive predictive value of 1.00 (0.99, 1.00) and a negative predictive value of 0.99 (0.98, 1.00). An IMS between 78 and < 89% indicated NS-HBP with a sensitivity and specificity of 1.00 (0.99, 1.00) and 0.99 (0.98, 1.00), respectively. IMS represents a new automated measure for standardized individual morphology classification in patients with normal QRS undergoing EAM-guided HBP.Clinical trial registration: NCT04416958.

摘要

希氏束起搏(HBP)的主要依据是起搏反应的 paced mapping 和局部起搏反应的直观比较,并与固有 QRS 形态进行比较。我们评估了一种表面导联形态匹配算法在接受电解剖标测(EAM)引导的希氏束起搏(HBP)的固有 QRS 较窄的患者中自动分类起搏反应中的性能。在 43 例患者中尝试了 HBP。在 28 例 QRS 较窄的患者中,使用 EnSite AutoMap 模块自动评估在希氏云区域起搏映射时使用诊断导管或希氏导联产生的 QRS 形态,计算固有形态匹配评分(IMS),并评估其在分类个体起搏反应(如选择性 HBP[S-HBP]、非选择性 HBP[NS-HBP]或右心室刺激)中的准确性和性能。使用个体参考对 354 个固有搏动的自动形态比较确定了 99%(95%CI 98.96-99.04)的测试准确性和 97.99-99.5%的精度。对于希氏导联刺激,IMS≥89% 可识别 S-HBP,其灵敏度、特异性和阳性预测值均为 1.00(0.99,1.00),阴性预测值为 0.99(0.98,1.00)。IMS 介于 78 和<89%之间表明 NS-HBP,其灵敏度和特异性分别为 1.00(0.99,1.00)和 0.99(0.98,1.00)。IMS 是一种新的自动化测量方法,用于对接受 EAM 引导的 HBP 的正常 QRS 患者进行个体化形态分类的标准化。临床试验注册:NCT04416958。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e805/8897418/ef2b9c320d28/41598_2022_7516_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验