Carlos Arthur Hansel Diniz da Costa, Gabriela Menichelli Medeiros Coelho, Rhanniel Theodorus Helhyas Oliveira Shilva Gomes Villar, Gabriela Rodrigues de Oliveira, Pedro Henrique Correia Filgueiras, Enia Lucia Coutinho, Claudio Cirenza, Angelo Amato Vincenzo de Paola
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Patients underwent two twelve-lead ambulatory ECG recordings during follow-up. The spatial distribution of PVCs was analyzed using the algorithm proposed by Kuchar et al. The impact of this spatial distribution on clinical variables was assessed using mixed generalized models.</p><p><strong>Results: </strong>Fifty-five patients were enrolled, with a mean follow-up time of 41.12 ± 13.48 months. All patients underwent two 12-lead ambulatory ECG recordings. The median PVC count was 91.5. PVCs were classified according to the algorithm proposed by Kuchar et al. PVCs arising from exit sites located in the intermediate left ventricle were associated with a higher number of therapies (odds ratio [OR]: 4.78; 95% confidence interval [CI], 1.19-19.26; p = 0.028) and prolonged QRS duration. PVCs with exit sites located in the septal region were associated with higher NYHA functional classes (OR: 2.22 [95% CI: 1.08-4.44]; p = 0.030). No statistically significant interaction was found between PVC topography and gender, number of ATP episodes, ATP success rate, or number of shock episodes.</p><p><strong>Conclusion: </strong>The spatial distribution of PVCs influenced the prognosis of ICD recipients.</p>","PeriodicalId":520740,"journal":{"name":"Pacing and clinical electrophysiology : PACE","volume":" ","pages":"1157-1166"},"PeriodicalIF":1.3000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of the Spatial Distribution of Ventricular Extrasystoles on Implantable Cardioverter-Defibrillator Recipients.\",\"authors\":\"Carlos Arthur Hansel Diniz da Costa, Gabriela Menichelli Medeiros Coelho, Rhanniel Theodorus Helhyas Oliveira Shilva Gomes Villar, Gabriela Rodrigues de Oliveira, Pedro Henrique Correia Filgueiras, Enia Lucia Coutinho, Claudio Cirenza, Angelo Amato Vincenzo de Paola\",\"doi\":\"10.1111/pace.70033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Premature ventricular complexes (PVC) are a common phenomenon observed in both normal and pathological heart conditions. However, they do not always behave in the same way. Different PVCs present with varying QRS morphologies, mechanisms, and origin sites. These differences may imply distinct prognoses. To date, the impact of the three-dimensional distribution of PVCs across the heart on the prognosis of ICD recipients has not been adequately investigated.</p><p><strong>Material and methods: </strong>We conducted an ambidirectional cohort study. Patients underwent two twelve-lead ambulatory ECG recordings during follow-up. The spatial distribution of PVCs was analyzed using the algorithm proposed by Kuchar et al. The impact of this spatial distribution on clinical variables was assessed using mixed generalized models.</p><p><strong>Results: </strong>Fifty-five patients were enrolled, with a mean follow-up time of 41.12 ± 13.48 months. All patients underwent two 12-lead ambulatory ECG recordings. The median PVC count was 91.5. PVCs were classified according to the algorithm proposed by Kuchar et al. 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No statistically significant interaction was found between PVC topography and gender, number of ATP episodes, ATP success rate, or number of shock episodes.</p><p><strong>Conclusion: </strong>The spatial distribution of PVCs influenced the prognosis of ICD recipients.</p>\",\"PeriodicalId\":520740,\"journal\":{\"name\":\"Pacing and clinical electrophysiology : PACE\",\"volume\":\" \",\"pages\":\"1157-1166\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pacing and clinical electrophysiology : PACE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/pace.70033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacing and clinical electrophysiology : PACE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/pace.70033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/25 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
早衰心室复合体(PVC)是一种常见的现象,在正常和病理性的心脏条件下观察到。然而,他们并不总是以同样的方式行事。不同的室性早搏具有不同的QRS形态、机制和起源部位。这些差异可能意味着不同的预后。迄今为止,对ICD受者心脏内室性早搏三维分布对预后的影响还没有充分的研究。材料和方法:我们进行了一项双向队列研究。随访期间,患者进行了两次12导联动态心电图记录。采用Kuchar等人提出的算法分析室性早搏的空间分布。使用混合广义模型评估这种空间分布对临床变量的影响。结果:入组患者55例,平均随访时间41.12±13.48个月。所有患者均行两次12导联动态心电图记录。中位数PVC计数为91.5。根据Kuchar等人提出的算法对pvc进行分类。发生于左心室中间出口部位的室性早搏与较高的治疗次数(优势比[OR]: 4.78; 95%可信区间[CI], 1.19-19.26; p = 0.028)和较长的QRS持续时间相关。出口部位位于间隔区的室性早搏与较高的NYHA功能等级相关(OR: 2.22 [95% CI: 1.08-4.44]; p = 0.030)。PVC地形与性别、ATP发作次数、ATP成功率或休克发作次数之间没有统计学上显著的相互作用。结论:室性早搏空间分布影响ICD受者的预后。
The Impact of the Spatial Distribution of Ventricular Extrasystoles on Implantable Cardioverter-Defibrillator Recipients.
Introduction: Premature ventricular complexes (PVC) are a common phenomenon observed in both normal and pathological heart conditions. However, they do not always behave in the same way. Different PVCs present with varying QRS morphologies, mechanisms, and origin sites. These differences may imply distinct prognoses. To date, the impact of the three-dimensional distribution of PVCs across the heart on the prognosis of ICD recipients has not been adequately investigated.
Material and methods: We conducted an ambidirectional cohort study. Patients underwent two twelve-lead ambulatory ECG recordings during follow-up. The spatial distribution of PVCs was analyzed using the algorithm proposed by Kuchar et al. The impact of this spatial distribution on clinical variables was assessed using mixed generalized models.
Results: Fifty-five patients were enrolled, with a mean follow-up time of 41.12 ± 13.48 months. All patients underwent two 12-lead ambulatory ECG recordings. The median PVC count was 91.5. PVCs were classified according to the algorithm proposed by Kuchar et al. PVCs arising from exit sites located in the intermediate left ventricle were associated with a higher number of therapies (odds ratio [OR]: 4.78; 95% confidence interval [CI], 1.19-19.26; p = 0.028) and prolonged QRS duration. PVCs with exit sites located in the septal region were associated with higher NYHA functional classes (OR: 2.22 [95% CI: 1.08-4.44]; p = 0.030). No statistically significant interaction was found between PVC topography and gender, number of ATP episodes, ATP success rate, or number of shock episodes.
Conclusion: The spatial distribution of PVCs influenced the prognosis of ICD recipients.