Suppr超能文献

心脏起搏器患者晕厥。

Syncope in Patients with Cardiac Pacemakers.

机构信息

Department of Clinical Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil.

Department of Physiology and Pharmacology, Federal University of Ceará, Fortaleza, Ceará, Brazil.

出版信息

Braz J Cardiovasc Surg. 2021 Feb 1;36(1):18-24. doi: 10.21470/1678-9741-2020-0076.

Abstract

INTRODUCTION

It is challenging to diagnose syncope in patients with pacemakers. Because these patients have increased morbidity and mortality risks, they require immediate attention to determine the causes in order to provide appropriate treatment. This study aimed to investigate the causes and predictive factors of syncope as well as the methods used to diagnose syncope in cardiac pacemaker patients.

METHODS

Patients with pacemakers implanted owing to sinus node disease or atrioventricular block were evaluated with standardized questionnaires, endocavitary electrograms, and other tests based on the suspected causes of syncope. Mann- Whitney U tests were used to analyze continuous variables and Chi-squared or Fisher's exact tests were used for categorical variables. Logistic regression was used for multivariate analyses. Statistical significance was P<0.05.

RESULTS

The study included 95 patients with pacemakers: 47 experienced syncope in the last 12 months and 48 did not. Of the 100 documented episodes of syncope, 48.9% were vasovagal syncopes, 17% had cardiac-related causes, 10.6% had unknown causes, and 8.5% had pacemaker failure. The multivariate analysis showed that a New York Heart Association (NYHA) Functional Class II was a significant factor for developing syncope (P<0.01).

CONCLUSION

While the most common type of syncope in pacemaker patients was neurally mediated, it is important to perform detailed evaluations in this population as the causes of syncope can be life-threatening. The best diagnostic methods were stored electrogram analysis and the tilt table test. NYHA Functional Class II patients were found to have a higher risk for syncope.

摘要

简介

诊断起搏器患者晕厥具有挑战性。由于这些患者的发病率和死亡率风险增加,因此需要立即关注以确定病因,以便提供适当的治疗。本研究旨在探讨起搏器患者晕厥的原因和预测因素,以及诊断晕厥的方法。

方法

对因窦房结疾病或房室传导阻滞植入起搏器的患者进行标准化问卷评估、心内电图和其他根据晕厥疑似原因进行的检查。连续变量采用 Mann-Whitney U 检验,分类变量采用卡方或 Fisher 确切检验。采用多变量逻辑回归分析。统计学意义为 P<0.05。

结果

本研究纳入 95 例起搏器患者:47 例在过去 12 个月内出现晕厥,48 例未出现晕厥。100 次晕厥记录中,48.9%为血管迷走性晕厥,17%为心脏相关原因,10.6%为原因不明,8.5%为起搏器故障。多变量分析显示,纽约心脏病协会(NYHA)功能分级 II 是发生晕厥的重要因素(P<0.01)。

结论

虽然起搏器患者最常见的晕厥类型为神经介导性,但在该人群中进行详细评估很重要,因为晕厥的原因可能危及生命。最佳诊断方法为存储的电图分析和倾斜台试验。NYHA 功能分级 II 患者发生晕厥的风险更高。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验