永久性起搏器在经导管主动脉瓣置换术中的应用:来自全国住院患者样本的真实世界经验

Anand Muthu Krishnan, S. Kadavath, Gurukripa N. Kowlgi, Akshay Goel, Fangcheng Wu, A. Jha, Daniel D. Correa de Sa, Rony N. Lahoud
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摘要

背景:经导管主动脉瓣置换术(TAVR)与传导异常相关,需要永久性起搏器植入(PPMI)。关于TAVR后PPMI预测因素的数据很少。方法:采用2017年全国住院患者样本(NIS)进行回顾性研究。在同一入院期间接受TAVR和PPMI的患者使用适当的ICD-10代码进行识别,左束支(LBBB),右束支(RBBB)和一级房室延迟(AVB)的患者也是如此。患者根据PPMI分为两组。在调整年龄、性别、种族、合并症、保险状况和Charlson合并症指数(CCI)后,采用单因素和多因素分析对各组进行比较。次要结局包括影响住院时间(LOS)和总费用的因素。结果:2017年,54175例(男性57.6%)患者接受了TAVR。基线时,有8067例LBBB, 2402例RBBB和2905例AVB。共有4170例患者(55.2%为男性)需要PPMI。需要PPMI的患者年龄较大(80.5 vs 79.6岁,p=0.001)。在多变量分析中,基线RBBB、LBBB、高血压(HTN)、CCI 2和CCI >/=3预测PPMI (aOR 4.82, p<0.001;aOR 1.63, p<0.001;aOR 1.21, p=0.013; aOR 1.53, p=0.022; aOR 1.46, p=0.031)。在多变量分析中,接受PPMI的患者有更高的LOS (aOR 2.18, p<0.001)和更高的总费用(278,000美元vs 204,920美元;p < 0.001)。结论:在该队列中,RBBB、LBBB、HTN和CCI升高预测TAVR后PPMI。需要进一步的研究来证实我们的发现。
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Permanent Pacemaker Use in Transcatheter Aortic Valve Replacement: Real World Experience from the National Inpatient Sample
Background: Transcatheter Aortic Valve Replacement (TAVR) is associated with conduction abnormalities requiring permanent pacemaker implantation (PPMI). Data regarding predictors for PPMI following TAVR is scarce. Methods: This is a retrospective study utilizing the 2017 National In-Patient Sample (NIS). Patients who underwent TAVR and PPMI during the same admission were identified using appropriate ICD-10 codes, as were patients with left bundle branch (LBBB), right bundle branch (RBBB), and first-degree AV delay (AVB). Patients were split into two groups based on PPMI. The groups were compared using univariate and multivariate analyses after adjusting for age, gender, race, comorbidities, insurance status, and Charlson comorbidity index (CCI). Secondary outcomes included factors influencing length of stay (LOS) and total charges incurred. Results: In 2017, 54,175 (57.6% males) patients underwent TAVR. There were 8,067 patients with LBBB, 2,402 with RBBB, and 2,905 with AVB at baseline. A 4170 total of patients (55.2% males) required PPMI. Patients requiring PPMI were older (80.5 vs 79.6 years, p=0.001). On multivariate analyses, baseline RBBB, LBBB, hypertension (HTN), CCI 2, and CCI >/=3 predicted PPMI (aOR 4.82, p<0.001; aOR 1.63, p<0.001; aOR 1.21, p=0.013, aOR 1.53, p=0.022 and aOR 1.46, p=0.031 respectively). On multivariate analyses, patients who underwent PPMI had significantly higher LOS (aOR 2.18, p<0.001) and incurred higher total charges (USD 278,000 vs USD 204,920; p<0.001). Conclusion: In this cohort, RBBB, LBBB, HTN, and increased CCI predicted PPMI after TAVR. Further studies are required to corroborate our findings.
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