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A proposed algorithm for management of patients with left bundle branch block post-TAVR: 1-year follow-up tavr后左束支阻滞患者的治疗方法:1年随访。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.09.015
Avia Bar-Moshe BsC , Amjad Abu-Salman MD , Einat Frumkin BsC , Carlos Cafri MD , Miri Merkin MD , Sergiy Bereza MD , Louise Kezerle MD , Moti Haim MD , Yuval Konstantino MD

Background

Transcatheter aortic valve replacement (TAVR) has revolutionized the management of aortic stenosis and has become the standard of care across a broad spectrum of patients with aortic stenosis. However, it is still associated with high incidence of conduction abnormalities, particularly new left bundle branch block (LBBB). Management of these patients remains a challenge.

Objective

The study sought to assess the clinical outcomes of patients with post-TAVR conduction disorders managed according to a prespecified institutionally developed algorithm.

Methods

A retrospective analysis including all patients undergoing TAVR in our institute between October 2018 and December 2022 was performed. Patients with new LBBB were managed according to the algorithm comprising QRS width and electrophysiology study. In-hospital and 1-year clinical outcomes were assessed.

Results

A total of 230 patients were included in the present analysis. Seventy (30.4%) patients developed new LBBB after TAVR. Overall, 44 (19.1%) patients required permanent pacemaker (PPM) implantation: 20 (8.7%) patients with Mobitz II, complete atrioventricular block, or alternating bundle branch block; 21 (9.1%) patients with persistent new LBBB; and 3 (1.3%) patients per physician discretion. During 1-year follow-up, only 3 patients required late PPM implantation, of whom there was only 1 patient with new LBBB. There was no difference in mortality or heart failure hospitalizations between the per PPM and no PPM groups. Multivariable analysis identified atrial fibrillation, chronic kidney disease, and pre-TAVR right bundle branch block as independent predictors for PPM implantation following TAVR.

Conclusion

Our findings suggest that the presented algorithm may serve as a safe and efficacious strategy for management of patient with post-TAVR LBBB, although the PPM implantation rate may be further reduced.
背景:经导管主动脉瓣置换术(TAVR)彻底改变了主动脉瓣狭窄的治疗方法,并已成为广泛的主动脉瓣狭窄患者的标准治疗方法。然而,它仍然与传导异常的高发相关,特别是新发左束支传导阻滞(LBBB)。对这些患者的管理仍然是一个挑战。目的:该研究旨在评估tavr后传导障碍患者的临床结果,根据预先指定的机构开发的算法进行管理。方法:回顾性分析2018年10月至2022年12月在我院接受TAVR治疗的所有患者。根据QRS宽度和电生理研究相结合的算法对新发LBBB患者进行管理。评估住院和1年临床结果。结果:本分析共纳入230例患者。70例(30.4%)患者在TAVR后出现新的LBBB。总体而言,44例(19.1%)患者需要永久性起搏器(PPM)植入;20例(8.7%)患者患有Mobitz II型、完全房室传导阻滞或交替束支传导阻滞;21例(9.1%)为持续性新发LBBB;每名医生有3名(1.3%)患者。在1年的随访中,仅有3例患者需要晚期PPM植入,其中只有1例患者出现了新的LBBB。在每PPM组和无PPM组之间,死亡率和心力衰竭住院率没有差异。多变量分析发现心房颤动、慢性肾脏疾病和TAVR前右束支阻滞是TAVR后PPM植入的独立预测因素。结论:我们的研究结果表明,尽管PPM植入率可能会进一步降低,但该算法可能是治疗tavr后LBBB患者的一种安全有效的策略。
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引用次数: 0
Percutaneous left atrial appendage closure using a modified single-operator-technician approach under deep sedation: A single-center experience 深度镇静下经皮左心耳闭合采用改良的单手术技术方法:单中心经验。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.10.004
Alejandro José Quiroz Alfaro MD , Noah E. Russell DO , Ruhul Munshi MD , Waleed Hassan MD , James E. Stone MD , Elsheikh M. Abdelrahim MD , Karl J. Crossen MD , Karthik Venkatesh Prasad MD

Background

Historically, percutaneous transcatheter left atrial appendage closure (LAAC) has been performed under general anesthesia (GA) with transesophageal echocardiographic images obtained by a noninvasive cardiologist and usually requires an overnight hospital stay. Alternatively, we present our single-center experience performing LAACs under deep sedation (DS), employing an echocardiographic technician instead of a noninvasive cardiologist, and expediting same-day discharge. Mid- to long-term outcomes were also evaluated with follow-up imaging at a 45-day visit.

Objective

The purpose of this study was to demonstrate the safety, feasibility, and outcomes of our single-operator-technician LAAC approach.

Methods

A total of 150 patients, with elevated CHA2DS2-VASc scores (a mean of 4 points), underwent transesophageal echocardiography–guided LAAC using the WATCHMAN FLX (Boston Scientific, Marlborough, MA) device under DS.

Results

The mean age of patients was 78 years. Seventy-six (51%) were men. One hundred forty-seven patients (98%) had the LAAC device successfully implanted, and 145 (97%) were discharged on the same day. Nine patients (6%) required conversion from DS to GA. Only 5 patients (4%) had complications during the procedure. None of the patients died or had complications from DS. During the 45-day follow-up visit, one patient had a significant peridevice leak (maximum diameter ≥ 5 mm) and another patient had device-related thrombosis.

Conclusion

Our novel single-operator-technician approach under DS is safe and feasible. Implementing protocols to simplify the traditional 2-operator approach under GA by using DS and an echocardiography technician as well as incorporating same-day discharge could make LAACs more widely available and potentially reduce procedural costs.
背景:历史上,经皮经导管左心耳闭合(LAAC)是在全身麻醉(GA)下进行的,由无创心脏病专家获得经食管超声心动图图像,通常需要住院一晚。另外,我们介绍了在深度镇静(DS)下进行laac的单中心经验,使用超声心动图技术人员而不是无创心脏病专家,并加快当天出院。在45天的随访中,还通过随访成像评估了中长期结果。目的:本研究的目的是证明我们的单一操作人员-技术人员LAAC方法的安全性、可行性和结果。方法:共有150例CHA2DS2-VASc评分升高(平均4分)的患者,在DS下使用WATCHMAN FLX (Boston Scientific, Marlborough, MA)设备接受经食管超声心动图引导的LAAC。结果:患者平均年龄78岁。76人(51%)为男性。147例患者(98%)成功植入LAAC装置,145例患者(97%)当日出院。9例(6%)患者需要从DS转为GA。只有5例(4%)患者在手术过程中出现并发症。没有患者死亡或出现退行性椎体滑移的并发症。在45天的随访中,1例患者出现明显的器械外漏(最大直径≥5mm),另1例患者出现器械相关血栓形成。结论:我们的单刀手术方法是安全可行的。通过使用DS和超声心动图技术人员以及合并当日出院,在GA下简化传统的2操作员方法的实施方案可以使laac更广泛地应用,并可能降低手术成本。
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引用次数: 0
Use of continuous cardiac monitoring to assess the influence of atrial fibrillation burden and patterns on patient symptoms and healthcare utilization: The DEFINE AFib study 使用持续心脏监测评估心房颤动负担和模式对患者症状和医疗保健利用的影响:DEFINE AFib研究
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.09.018
Dhanunjaya R. Lakkireddy MD , Andrea M. Russo MD , Elaine M. Hylek MD, MPH , Suneet Mittal MD , James Peacock MD, MS , Mellanie True Hills , Evan J. Stanelle MS, MA , Jeffrey D. Lande MS, PhD , Noreli C. Franco PhD , Lawrence C. Johnson PhD , Rahul Kanwar MS , Rod S. Passman MD, MHS , Jonathan P. Piccini MD, MHS

Background

Atrial fibrillation (AF) has a significant impact on health and quality of life. The relationship of AF burden and temporal patterns of AF on patient symptoms, outcomes, and healthcare utilization is unknown. Insertable cardiac monitors (ICMs) are a strategic and as yet untapped, tool to investigate these relationships.

Objective

The DEFINE Atrial Fibrillation (DEFINE AFib) study will evaluate how AF burden and patterns are associated with changes in AF-related healthcare utilization (AFHCU) and patient-reported quality of life.

Methods

This is a prospective, observational, multicenter study with a unique design that supports a complete method of assessing AF as a multifactorial disease. Patients with AF implanted with an ICM will be enrolled in the study and managed through an app-based research platform on their smartphone. Patients will be remotely monitored and patient-reported outcomes will be collected via the app. AFHCU will be confirmed via the participant’s medical record.

Results

The primary analysis will evaluate whether summary and episodic measurements collected by ICMs are associated with changes in AFHCU. Secondary analyses will determine the relationship between AF characteristics and quality of life, timing and severity of AF-related complications, patient engagement, reliability of patient-reported outcomes, data from other digital rhythm detectors, and heterogeneity in care quality and AFHCU.

Conclusion

The DEFINE AFib study will provide valuable insights into the association between dynamic measures of AF and AFHCU in a patient population with known AF. The results may demonstrate the impact of ICM-detected AF on patient outcomes and help isolate novel AF patterns predictive of clinical risk.
背景:心房颤动(AF)对健康和生活质量有显著影响。房颤负担和房颤时间模式对患者症状、结果和医疗保健利用的关系尚不清楚。可插入式心脏监护仪(ICMs)是一种战略性的、尚未开发的工具,可以研究这些关系。目的:定义房颤(DEFINE AFib)研究将评估房颤负担和模式如何与房颤相关医疗保健利用(AFHCU)的变化和患者报告的生活质量相关。方法:这是一项前瞻性、观察性、多中心的研究,具有独特的设计,支持一种完整的方法来评估房颤作为一种多因素疾病。植入ICM的房颤患者将被纳入研究,并通过智能手机上基于应用程序的研究平台进行管理。患者将被远程监控,患者报告的结果将通过应用程序收集。AFHCU将通过参与者的医疗记录得到确认。结果:初步分析将评估ICMs收集的汇总和发作性测量是否与AFHCU的变化有关。次要分析将确定房颤特征与生活质量、房颤相关并发症的时间和严重程度、患者参与、患者报告结果的可靠性、来自其他数字心律检测器的数据以及护理质量和房颤cu的异质性之间的关系。结论:DEFINE AFib研究将为已知AF患者群体AF动态测量与AFHCU之间的关系提供有价值的见解。结果可能证明icm检测AF对患者预后的影响,并有助于分离预测临床风险的新型AF模式。
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引用次数: 0
A deep learning modular ECG approach for cardiologist assisted adjudication of atrial fibrillation and atrial flutter episodes 一种深度学习模块化ECG方法,用于心脏病专家辅助心房颤动和心房扑动发作的判定。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.09.007
Quentin Fleury MSc , Rémi Dubois PhD , Sylvain Christophle-Boulard MSc , Fabrice Extramiana MD, PhD , Pierre Maison-Blanche MD

Background

Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases. However, results on long-term Holter recordings are scarce.

Objective

We aimed to build and evaluate a DL modular software using ECG features well known to cardiologists with a user interface that allows cardiologists to adjudicate the results and drive a second DL analysis.

Methods

Using a large (n = 187 recordings, 249,419 one-minute samples), beat-to-beat annotated, two-lead Holter database, we built a DL algorithm with a modular structure mimicking expert physician ECG interpretation to classify atrial rhythms. The DL network includes 3 modules (cardiac rhythm regularity, electrical atrial waveform, and raw voltage by time data) followed by a decision network and a long-term weighting factor. The algorithm was validated on an external database.

Results

F1 scores of our classifier were 99% for ATA detection, 95% for atrial fibrillation, and 90% for atrial flutter. Using the external Massachusetts Institute of Technology database, the classifier obtains an F1-score of 97% for the normal sinus rhythm class and 96% for the ATA class. Residual errors could be corrected by manual deactivation of 1 module in 7 of 15 of the recordings, with an accuracy < 90%.

Conclusion

A DL modular software using ECG features well known to cardiologists provided an excellent overall performance. Clinically significant residual errors were most often related to the classification of the atrial arrhythmia type (fibrillation vs flutter). The modular structure of the algorithm helped to edit and correct the artificial intelligence–based first-pass analysis and will provide a basis for explainability.
背景:在长期心电图(ECG)记录中检测心房性心动过速(ATA)是减少ATA相关不良事件的先决条件。然而,大量心电数据的编辑负担是不可承受的。深度学习(DL)算法在静息心电图数据库上提供了更好的性能。然而,长期动态心电图记录的结果很少。目的:我们的目标是建立和评估一个深度分析模块化软件,该软件使用心脏病专家所熟知的ECG功能,并具有允许心脏病专家判断结果并驱动第二次深度分析的用户界面。方法:使用大量(n = 187条记录,249,419个一分钟样本),心跳对心跳注释,双导联霍尔特数据库,我们建立了一个具有模块化结构的DL算法,模仿专家医生的心电图解释来分类心房节律。DL网络包括3个模块(心律规律、心房电波形和时间数据的原始电压),然后是一个决策网络和一个长期加权因子。该算法在外部数据库上进行了验证。结果:我们的分类器在ATA检测中的F1得分为99%,心房颤动为95%,心房扑动为90%。使用麻省理工学院的外部数据库,分类器获得正常窦性心律类别的f1评分为97%,ATA类别的f1评分为96%。残留误差可以通过在15个记录中的7个中手动停用1个模块来纠正,准确度< 90%。结论:DL模块化软件采用了心脏病专家所熟知的心电图功能,提供了出色的整体性能。临床上显著的残留误差通常与心房心律失常类型的分类(颤动与扑动)有关。该算法的模块化结构有助于编辑和纠正基于人工智能的首过分析,并将为可解释性提供基础。
{"title":"A deep learning modular ECG approach for cardiologist assisted adjudication of atrial fibrillation and atrial flutter episodes","authors":"Quentin Fleury MSc ,&nbsp;Rémi Dubois PhD ,&nbsp;Sylvain Christophle-Boulard MSc ,&nbsp;Fabrice Extramiana MD, PhD ,&nbsp;Pierre Maison-Blanche MD","doi":"10.1016/j.hroo.2024.09.007","DOIUrl":"10.1016/j.hroo.2024.09.007","url":null,"abstract":"<div><h3>Background</h3><div>Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases. However, results on long-term Holter recordings are scarce.</div></div><div><h3>Objective</h3><div>We aimed to build and evaluate a DL modular software using ECG features well known to cardiologists with a user interface that allows cardiologists to adjudicate the results and drive a second DL analysis.</div></div><div><h3>Methods</h3><div>Using a large (n = 187 recordings, 249,419 one-minute samples), beat-to-beat annotated, two-lead Holter database, we built a DL algorithm with a modular structure mimicking expert physician ECG interpretation to classify atrial rhythms. The DL network includes 3 modules (cardiac rhythm regularity, electrical atrial waveform, and raw voltage by time data) followed by a decision network and a long-term weighting factor. The algorithm was validated on an external database.</div></div><div><h3>Results</h3><div>F1 scores of our classifier were 99% for ATA detection, 95% for atrial fibrillation, and 90% for atrial flutter. Using the external Massachusetts Institute of Technology database, the classifier obtains an F1-score of 97% for the normal sinus rhythm class and 96% for the ATA class. Residual errors could be corrected by manual deactivation of 1 module in 7 of 15 of the recordings, with an accuracy &lt; 90%.</div></div><div><h3>Conclusion</h3><div>A DL modular software using ECG features well known to cardiologists provided an excellent overall performance. Clinically significant residual errors were most often related to the classification of the atrial arrhythmia type (fibrillation vs flutter). The modular structure of the algorithm helped to edit and correct the artificial intelligence–based first-pass analysis and will provide a basis for explainability.</div></div>","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"5 12","pages":"Pages 862-872"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721725/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Atrial fibrillation catheter ablation decreases the duration of antiarrhythmic drug treatment for United States active-duty military personnel 房颤导管消融减少美国现役军人抗心律失常药物治疗的持续时间。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.10.002
Andrea N. Keithler DO, Matthew A. Tunzi DO, Andrew S. Wilson DO, Kelvin N.V. Bush MD
{"title":"Atrial fibrillation catheter ablation decreases the duration of antiarrhythmic drug treatment for United States active-duty military personnel","authors":"Andrea N. Keithler DO,&nbsp;Matthew A. Tunzi DO,&nbsp;Andrew S. Wilson DO,&nbsp;Kelvin N.V. Bush MD","doi":"10.1016/j.hroo.2024.10.002","DOIUrl":"10.1016/j.hroo.2024.10.002","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"5 12","pages":"Pages 960-963"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ventricular tachycardia ablation across age groups: Outcomes, trends and demographics. Insights from the National Inpatient Sample Database 不同年龄组室性心动过速消融:结果、趋势和人口统计学。来自全国住院病人样本数据库的见解。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.09.014
Ramez Morcos MD, MBA , Saad Malik MD , Peter Hanna MD, PhD , Amr Barakat MD , Haider Al Taii MD , Luigi Di Biase MD, PhD , Jeff Winterfield MD , Pugazhendhi Vijayaraman MD, FHRS , Parash Pokharel MD

Background

Ventricular tachycardia ablation (VTA) is an important treatment option for ventricular tachycardia, with increasing use across all age groups. However, age-related differences in outcomes remain a concern.

Objective

This study aimed to investigate age-related trends in VTA procedures and their associated adverse events across the United States from 2011 to 2021. The primary objective was to analyze VTA outcomes across different age groups. Secondary objectives included examining variation in VTA rate by sex and geographic region.

Methods

We conducted a retrospective analysis of the National Inpatient Sample, focusing on adult patients (≥18 years of age) hospitalized with a primary diagnosis of ventricular tachycardia. Patients were divided into 3 age groups: ≤59, 60 to 79, and ≥80 years. We evaluated VTA frequency, in-hospital mortality, and complications using propensity score matching to control for confounders. Secondary analyses examined sex and geographic differences.

Results

The study included 95,913 VTA procedures. The mean age of patients undergoing VTA increased over time, with a growing proportion of procedures performed in older patients. While overall adverse events did not significantly differ across age groups, specific outcomes such as mortality and hemorrhage were significantly higher in patients ≥80 years of age. In-hospital mortality was highest in the ≥80 years age group (5.1%), compared with 1.6% in the ≤59 years age group and 2.7% in the 60 to 79 years age group. Significant differences by sex and region were also observed.

Conclusion

Our study demonstrates that while the overall incidence of adverse events with VTA did not significantly increase with age, specific severe outcomes, such as in-hospital mortality and hemorrhage, were more prevalent in older patients. These findings suggest that VTA can be safely performed across age groups, but careful consideration is essential for elderly patients. Future research should focus on understanding the impact of age-related physiological changes and comorbidities on VTA outcomes.
背景:室性心动过速消融(VTA)是室性心动过速的重要治疗选择,在所有年龄组的应用越来越多。然而,与年龄相关的结果差异仍然令人担忧。目的:本研究旨在调查2011年至2021年美国VTA手术的年龄相关趋势及其相关不良事件。主要目的是分析不同年龄组的VTA结果。次要目的包括按性别和地理区域检查VTA率的变化。方法:我们对全国住院患者样本进行回顾性分析,重点是主要诊断为室性心动过速的住院成人患者(≥18岁)。患者分为≤59岁、60 ~ 79岁和≥80岁3组。我们使用倾向评分匹配来控制混杂因素,评估VTA频率、住院死亡率和并发症。二次分析考察了性别和地理差异。结果:该研究包括95,913例VTA手术。接受VTA的患者的平均年龄随着时间的推移而增加,老年患者的手术比例越来越大。虽然总体不良事件在不同年龄组之间没有显著差异,但特定结果,如死亡率和出血,在≥80岁的患者中明显更高。住院死亡率在≥80岁年龄组最高(5.1%),而≤59岁年龄组为1.6%,60 - 79岁年龄组为2.7%。性别和地区之间也存在显著差异。结论:我们的研究表明,虽然VTA不良事件的总体发生率没有随着年龄的增长而显著增加,但特定的严重结局,如住院死亡率和出血,在老年患者中更为普遍。这些发现表明,VTA可以安全地在各个年龄组进行,但对老年患者必须仔细考虑。未来的研究应侧重于了解年龄相关的生理变化和合并症对VTA结果的影响。
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引用次数: 0
Introduction: Cardiorhythm-Virtual 2024
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.10.019
Muzahir H. Tayebjee MD , Hani Assaad MD , Mervat Aboulmaaty MD
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引用次数: 0
Right anterolateral abdominal wall hematoma following a concealed left anterolateral accessory pathway ablation 隐蔽性左前外侧副通路消融后右前外侧腹壁血肿。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.09.006
Salah H. Alahwany MD, PhD, Munveer Thind MD, Shunsuke Uetake MD, PhD, Bantayehu Sileshi MD, Harikrishna Tandri MD
{"title":"Right anterolateral abdominal wall hematoma following a concealed left anterolateral accessory pathway ablation","authors":"Salah H. Alahwany MD, PhD,&nbsp;Munveer Thind MD,&nbsp;Shunsuke Uetake MD, PhD,&nbsp;Bantayehu Sileshi MD,&nbsp;Harikrishna Tandri MD","doi":"10.1016/j.hroo.2024.09.006","DOIUrl":"10.1016/j.hroo.2024.09.006","url":null,"abstract":"","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"5 12","pages":"Pages 957-959"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thirty-day unplanned readmissions following hospitalization for atrial fibrillation in a tertiary Syrian center: A real-world observational cohort study 在叙利亚三级中心房颤住院后30天的意外再入院:一项真实世界的观察队列研究。
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.05.010
Ibrahim Antoun PhD , Alkassem Alkhayer MSc , Majed Aljabal MBBS , Yaman Mahfoud MD , Alamer Alkhayer MD , Peter Simon MD , Ahmed Kotb MSc , Joseph Barker MRCP , Akash Mavilakandy BSc , Rita Hani MSc , Riyaz Somani PhD , G. André Ng PhD , Mustafa Zakkar PhD

Background

Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding 30-day readmission following index admission for AF in the developing world are poorly described.

Objectives

The study aimed to assess the rate, predictors, and trends of 30-day readmission after index admission for AF in Syria.

Methods

We included adult patients who had an index admission with AF to Latakia’s tertiary center between June 2021 and October 2023. Patients were monitored for readmission for 30 days after index discharge. Data were taken from patients’ medical notes.

Results

A total of 661 patients were included in the final analysis, of which 282 (43%) were readmitted to hospital within 30 days following index admission. Cardiac causes were the most common cause of readmission in 72% of patients, of which 60% were AF. Readmitted patients had a higher median age (62 years vs 57 years, P = .001), and there were fewer males (58% vs 51%, P = .001). In multivariate analysis, factors that independently increased 30-day readmission risk were older age (hazard ratio [HR] 1.5, 95% confidence interval [CI] 1.1–1.9), female sex (HR 1.3, 95% CI 1.02–1.4), diabetes mellitus (HR 1.7, 95% CI 1.3–2.3), and congestive heart failure (HR 2.2, 95% CI 1.7–2.9). Most cardiac readmissions happened during the first 15 days (79%).

Conclusion

Almost 1 in 2 patients were readmitted within 30 days after an index admission for AF. Female sex, advancing age, diabetes mellitus, and congestive heart failure were independently associated with an increased risk of 30-day readmission.
背景:心房颤动(AF)是世界范围内最常见的心律失常。发展中国家对房颤指数入院后30天再入院的数据描述甚少。目的:本研究旨在评估叙利亚房颤指数入院后30天再入院率、预测因素和趋势。方法:我们纳入了2021年6月至2023年10月期间在拉塔基亚三级中心有房颤指数入院的成年患者。监测患者指数出院后30天再入院情况。数据取自病人的医疗记录。结果:共纳入661例患者,其中282例(43%)在指标入院后30天内再次入院。在72%的患者中,心脏原因是最常见的再入院原因,其中60%为房颤。再入院患者的中位年龄较高(62岁对57岁,P = 0.001),男性较少(58%对51%,P = 0.001)。在多因素分析中,独立增加30天再入院风险的因素是年龄较大(风险比[HR] 1.5, 95%可信区间[CI] 1.1-1.9)、女性(风险比[HR] 1.3, 95% CI 1.02-1.4)、糖尿病(风险比[HR] 1.7, 95% CI 1.3-2.3)和充血性心力衰竭(风险比[HR] 2.2, 95% CI 1.7-2.9)。大多数心脏再入院发生在前15天(79%)。结论:近1 / 2的患者在房颤指数入院后30天内再次入院。女性、高龄、糖尿病和充血性心力衰竭与30天再入院风险增加独立相关。
{"title":"Thirty-day unplanned readmissions following hospitalization for atrial fibrillation in a tertiary Syrian center: A real-world observational cohort study","authors":"Ibrahim Antoun PhD ,&nbsp;Alkassem Alkhayer MSc ,&nbsp;Majed Aljabal MBBS ,&nbsp;Yaman Mahfoud MD ,&nbsp;Alamer Alkhayer MD ,&nbsp;Peter Simon MD ,&nbsp;Ahmed Kotb MSc ,&nbsp;Joseph Barker MRCP ,&nbsp;Akash Mavilakandy BSc ,&nbsp;Rita Hani MSc ,&nbsp;Riyaz Somani PhD ,&nbsp;G. André Ng PhD ,&nbsp;Mustafa Zakkar PhD","doi":"10.1016/j.hroo.2024.05.010","DOIUrl":"10.1016/j.hroo.2024.05.010","url":null,"abstract":"<div><h3>Background</h3><div>Atrial fibrillation (AF) is the most common arrhythmia worldwide. Data regarding 30-day readmission following index admission for AF in the developing world are poorly described.</div></div><div><h3>Objectives</h3><div>The study aimed to assess the rate, predictors, and trends of 30-day readmission after index admission for AF in Syria.</div></div><div><h3>Methods</h3><div>We included adult patients who had an index admission with AF to Latakia’s tertiary center between June 2021 and October 2023. Patients were monitored for readmission for 30 days after index discharge. Data were taken from patients’ medical notes.</div></div><div><h3>Results</h3><div>A total of 661 patients were included in the final analysis, of which 282 (43%) were readmitted to hospital within 30 days following index admission. Cardiac causes were the most common cause of readmission in 72% of patients, of which 60% were AF. Readmitted patients had a higher median age (62 years vs 57 years, <em>P =</em> .001), and there were fewer males (58% vs 51%, <em>P =</em> .001). In multivariate analysis, factors that independently increased 30-day readmission risk were older age (hazard ratio [HR] 1.5, 95% confidence interval [CI] 1.1–1.9), female sex (HR 1.3, 95% CI 1.02–1.4), diabetes mellitus (HR 1.7, 95% CI 1.3–2.3), and congestive heart failure (HR 2.2, 95% CI 1.7–2.9). Most cardiac readmissions happened during the first 15 days (79%).</div></div><div><h3>Conclusion</h3><div>Almost 1 in 2 patients were readmitted within 30 days after an index admission for AF. Female sex, advancing age, diabetes mellitus, and congestive heart failure were independently associated with an increased risk of 30-day readmission.</div></div>","PeriodicalId":29772,"journal":{"name":"Heart Rhythm O2","volume":"5 12","pages":"Pages 854-859"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142972326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
VO-02 ACCURACY AND CONFIDENCE OF ELECTROCARDIOGRAM INTERPRETATION AMONG DOCTORS WORKING AT THE EMERGENCY MEDICINE DEPARTMENT OF A TERTIARY HOSPITAL IN TANZANIA
IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2024-12-01 DOI: 10.1016/j.hroo.2024.10.013
Emmanuel Mmbando, Said Kilindimo, Alphonce Simbila, Evelyne Mapunda, Peter Kisenge, Reuben Mutagaywa
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引用次数: 0
期刊
Heart Rhythm O2
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