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Trends in Cardiovascular Mortality in Patients With Chronic Kidney Disease From 1999 to 2020: A Retrospective Study in the United States 1999年至2020年慢性肾脏疾病患者心血管死亡率趋势:美国回顾性研究
IF 2.3 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-31 DOI: 10.1002/clc.70174
Eeman Ahmad, Shoaib Ahmad, Azka Naeem, Shahzaib Ahmed, Maryam Shehzad, Umar Akram, Hamza Ashraf, Obaid Ur Rehman, Irfan Ullah, Raheel Ahmed, Chadi Alraies, Gregg C. Fonarow

Background

Chronic kidney disease (CKD) may be associated with fatal cardiovascular diseases (CVDs). We aim to identify CVD-related mortality trends in patients with CKD in the US, examining the variation by sex, race, and region, and compare them to CVD-related mortality trends in general.

Methods

The CDC-WONDER database was used to obtain age-adjusted mortality rates (AAMRs) per 100,000 population. Annual percent change (APC) and average APC (AAPC) in these rates were calculated using Joinpoint regression and comparisons were done using pairwise comparison.

Results

From 1999 to 2020, a total of 605,384 CVD-related deaths were observed in patients with CKD. The AAMR was almost double in males (11.0) than females (6.3). NH (Non-Hispanic) Blacks or African Americans displayed the highest overall AAMR while NH Asians or Pacific Islanders displayed the lowest. AAMRs also varied substantially by region (Midwest: 8.8; West: 8.6; South: 8.0; Northeast: 7.3). States with the highest AAMR was the District of Columbia. Nonmetropolitan regions exhibited a slightly higher AAMR (8.6) than metropolitan regions (8.1). The AAPC for CVD-related deaths in patients with CKD differed significantly from that of the general population for the entire cohort, across both sexes, as well as among NH Whites, NH Black or African Americans, and Hispanics or Latinos. Regional differences were also observed in the Midwest, Northeast, and West.

Conclusion

Significant differences in CVD-related deaths in patients with CKD were observed. These high-risk groups should be the point of focus for targeted interventions to reduce CVD-related mortality in CKD patients.

背景:慢性肾脏疾病(CKD)可能与致命性心血管疾病(cvd)相关。我们的目标是确定美国CKD患者与cvd相关的死亡率趋势,检查性别、种族和地区的差异,并将其与一般的cvd相关死亡率趋势进行比较。方法采用CDC-WONDER数据库获取每10万人的年龄调整死亡率(AAMRs)。使用Joinpoint回归计算这些比率的年变化百分比(APC)和平均APC (AAPC),并使用两两比较进行比较。结果1999年至2020年,CKD患者共发生605384例cvd相关死亡。男性的AAMR(11.0)几乎是女性(6.3)的两倍。NH(非西班牙裔)黑人或非裔美国人的总体AAMR最高,而NH亚洲人或太平洋岛民的AAMR最低。aamr也因地区而异(中西部:8.8;西方:8.6;南:8.0;东北:7.3)。AAMR最高的州是哥伦比亚特区。非都市圈的AAMR(8.6)略高于都市圈(8.1)。CKD患者cvd相关死亡的AAPC与整个队列的一般人群有显著差异,无论性别,以及NH白人、NH黑人或非裔美国人、西班牙裔或拉丁裔美国人。中西部、东北部和西部也存在地区差异。结论CKD患者cvd相关死亡有显著性差异。这些高危人群应该成为有针对性的干预措施的重点,以降低CKD患者与cvd相关的死亡率。
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引用次数: 0
Long-Term Effectiveness of a Stent-Less Strategy With Drug Coated Balloon in Coronary Artery Disease: 3-Year Follow-Up of a Prospective All-Comers Observational Study 冠状动脉疾病药物包覆球囊无支架策略的长期有效性:一项前瞻性全患者观察性研究的3年随访
IF 2.3 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-31 DOI: 10.1002/clc.70189
Ludovic Meunier, Simon Eccleshall, Ronan Bakdi, Matthieu Godin, Géraud Souteyrand, Benoît Mottin, Yann Valy, Christian Benoit, Vincent Lordet, Virginie Laurençon, Antoine Milhem, Matthias Waliszewski, Caroline Allix-Béguec

Introduction

Drug-eluting stent (DES) angioplasty is the gold standard treatment for coronary lesions. Drug-coated balloon (DCB) is an option for in-stent restenosis, and has also shown promise for small-calibre coronary artery disease. We evaluated the 3-year effectiveness of a decision algorithm for percutaneous coronary intervention (PCI) that favoured a stent-less strategy (SLS) in primary angioplasty.

Methods

All patients who underwent angioplasty during 1 year were included in a prospective observational study. Patients eligible for SLS first underwent scoring balloon followed by DCB angioplasty or DES in case of mandatory bailout. Patients not eligible for SLS were unstable patients who underwent conventional drug-eluting stenting. The metal index, stent burden, was calculated by stent length divided by the total lesion length. A 36-month follow-up recorded target lesion revascularization (TLR).

Results

Patients eligible for SLS represented 85% (n = 840) of patients who underwent PCI. TLR was required in 2.6% and 6% of patients in the DCB-only and bailout-DES groups, respectively. Median metal index was 0.25 (IQR: 0.5) in patients with TLR. There was a difference between TLR–free survival distributions in the DCB-only and bailout-DES groups (p = 0.016).

Conclusions

The SLS based on a combination of scoring balloon and DCB was effective at 3 years with a low rate of TLR. This rate was higher in patients with stent burden.

Trial Registration: This study was registered with clinicaltrials. gov (NCT03893396, first posted on March 28, 2019).

药物洗脱支架(DES)血管成形术是治疗冠状动脉病变的金标准。药物包被球囊(DCB)是支架内再狭窄的一种选择,也显示出对小口径冠状动脉疾病的希望。我们评估了经皮冠状动脉介入治疗(PCI)的决策算法的3年有效性,该算法在初级血管成形术中支持无支架策略(SLS)。方法所有1年内行血管成形术的患者纳入前瞻性观察研究。符合SLS条件的患者首先进行评分球囊,然后进行DCB血管成形术或在强制救助情况下进行DES。不适合SLS的患者是接受常规药物洗脱支架植入术的不稳定患者。用支架长度除以病变总长度计算金属指数,即支架负荷。36个月的随访记录了靶病变血运重建术(TLR)。结果符合SLS的患者占行PCI患者的85% (n = 840)。仅dcb组和救助- des组分别有2.6%和6%的患者需要TLR。TLR患者的中位金属指数为0.25 (IQR: 0.5)。dcb组和救出- des组无tlr生存分布存在差异(p = 0.016)。结论基于评分球囊和DCB联合的SLS在3年内有效,TLR率低。这一比例在支架负担患者中更高。试验注册:本研究已注册为临床试验。(NCT03893396,首次发布于2019年3月28日)。
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引用次数: 0
The Effect of Age on 1-Year Readmissions in Atrial Fibrillation Patients: Trends and Insights From a Conflict-Stricken Country 年龄对房颤患者1年再入院的影响:来自冲突国家的趋势和见解
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-26 DOI: 10.1002/clc.70186
Ibrahim Antoun, Alkassem Alkhayer, Aref Jalal Eldin, Alamer Alkhayer, Riyaz Somani, G. André Ng, Mustafa Zakkar

Background

Atrial fibrillation (AF) is a leading cause of cardiovascular morbidity and hospitalization worldwide. However, limited data exist on AF readmissions in low-resource and conflict-affected settings. This study investigates the impact of age on 1-year readmission rates among AF patients in a Syrian tertiary hospital.

Methods

This retrospective observational cohort study was conducted at a tertiary Syrian center between June/2021–November/2023. Patients admitted with primary AF were included, while those with secondary AF or missing demographic data were excluded. Patients were stratified into three age groups: 18–50 years (Group 1), 51–70 years (Group 2), and > 70 years (Group 3). The primary outcome was all-cause and cardiovascular-related 1-year readmissions, with secondary outcomes including readmission frequencies.

Results

A total of 657 AF patients were included, with a median age of 60 320 (52%) were males. One-year readmission occurred in 64% of patients, with AF being the most common cause (75%). Group 1 had the highest smoking rates (70%). Group 3 had the highest rates of ischemic heart disease (47%), congestive cardiac failure (CCF) (35%), chronic kidney disease (15%, p < 0.001) and chronic liver disease (20). Older age was significantly associated with increased readmissions (87% in Group 3 vs. 62% in Group 2 and 49% in Group 1, p < 0.001). Frequent readmissions were more prevalent in Group 3 (≥ 3 admissions: 46%).

Conclusion

Older AF patients in a conflict-affected setting experience significantly higher readmission rates. Addressing healthcare resource limitations and optimizing AF management strategies are crucial to improving outcomes in resource-limited settings.

背景房颤(AF)是世界范围内心血管疾病发病率和住院率的主要原因。然而,在低资源和受冲突影响的环境中,关于房颤再入院的数据有限。本研究调查了年龄对叙利亚一家三级医院房颤患者1年再入院率的影响。方法回顾性观察队列研究于2021年6月至2023年11月在叙利亚三级中心进行。原发房颤患者被纳入,而继发性房颤患者或缺少人口统计数据的患者被排除在外。患者分为3个年龄组:18-50岁(组1)、51-70岁(组2)和70岁(组3)。主要结局是全因和心血管相关的1年内再入院,次要结局包括再入院频率。结果共纳入657例房颤患者,中位年龄60320例,男性占52%。1年后再入院的患者占64%,房颤是最常见的原因(75%)。组1吸烟率最高(70%)。第3组缺血性心脏病(47%)、充血性心力衰竭(35%)、慢性肾病(15%,p < 0.001)和慢性肝病(20%)的发生率最高。年龄较大与再入院增加显著相关(第3组87%,第2组62%,第1组49%,p < 0.001)。第3组频繁再入院更为普遍(≥3次入院:46%)。结论:受冲突影响的老年房颤患者再入院率明显较高。解决医疗资源限制和优化房颤管理策略对于改善资源有限环境下的结果至关重要。
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引用次数: 0
Revisiting the Boundaries of GDMT Optimization: Beyond Adverse Effects and Into the Future of Personalized Heart Failure Care 重新审视GDMT优化的界限:超越不良影响,进入个性化心力衰竭护理的未来
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-26 DOI: 10.1002/clc.70187
Ateeq Ur Rehman, Syed Muhammad Rayyan, Areeba Khan
<p>We read with interest the study by Velasco et al. on tolerability and adverse effects (AEs) encountered during heart failure (HF) guideline-directed medical therapy (GDMT) optimization [<span>1</span>]. The authors highlight an increasingly relevant challenge in HF management: real-world implementation of GDMT often falls short of guideline recommendations. While the study sheds light on important aspects of AEs and patient characteristics influencing dose titration, several key limitations and oversights merit critical discussion.</p><p>First, the inclusion of only those patients who completed the optimization program introduces selection bias, possibly underestimating the true burden of titration-limiting AEs. Patients unable to complete the program potentially due to more severe AEs or clinical decompensation were excluded from analysis. This risks portraying a more favorable safety and tolerability profile than might exist in broader clinical practice [<span>1</span>]. Additionally, the lack of a comparator group limits the ability to assess whether the program truly improved outcomes beyond natural progression or standard care.</p><p>Second, while older age and atrial fibrillation were identified as predictors of suboptimal beta-blocker and RAAS inhibitor dosing, the effect sizes were modest (OR 1.04 for age) and potentially confounded by unmeasured variables such as frailty or social support [<span>1</span>]. Surprisingly, hypertension appeared protective, contradicting conventional expectations. This counterintuitive finding may reflect physiological buffering in hypertensive patients or clustering of other unmeasured favorable traits. We believe it suggests a need to explore vascular-autonomic phenotyping in HF patients, an underexplored frontier.</p><p>Moreover, the focus on four common AEs, bradycardia, hypotension, hyperkalemia, and renal dysfunction while pragmatic, overlooks other frequent clinical barriers such as fatigue, dizziness, ACEi-induced cough, polypharmacy, and most crucially, therapeutic inertia [<span>2, 3</span>]. Clinical inertia, the reluctance to intensify treatment despite suboptimal control, has been shown to significantly impede GDMT application, with over 50% of physicians reducing therapy based on anticipated rather than actual AEs [<span>4</span>].</p><p>The study's population was relatively young, with fewer comorbidities, and a notable “obesity paradox”: obese patients were more likely to reach target doses [<span>1</span>]. This reflects findings from the Swedish HF Registry, where obese patients had greater GDMT adherence, possibly due to physiological reserve or clinician bias [<span>5</span>]. This observation raises the question: should GDMT targets be individualized rather than uniform?</p><p>Importantly, the authors report no titration-limiting AEs in patients on SGLT2 inhibitors, aligning with emerging evidence of their favorable safety profile and supporting their expanded use as foundational ther
我们饶有兴趣地阅读了Velasco等人关于心力衰竭(HF)指南导向药物治疗(GDMT)优化过程中遇到的耐受性和不良反应(ae)的研究[10]。作者强调了HF管理中日益相关的挑战:GDMT的实际实施往往达不到指南建议的要求。虽然该研究揭示了影响剂量滴定的ae和患者特征的重要方面,但一些关键的局限性和疏忽值得认真讨论。首先,只纳入那些完成优化方案的患者会引入选择偏差,可能低估滴定限制性ae的真正负担。可能由于更严重的ae或临床代偿失代偿而无法完成该计划的患者被排除在分析之外。与广泛的临床实践相比,这有可能描绘出更有利的安全性和耐受性。此外,缺乏比较组限制了评估该方案是否真正改善了自然进展或标准治疗之外的结果的能力。其次,虽然年龄和房颤被确定为β受体阻滞剂和RAAS抑制剂剂量次优的预测因子,但效应大小适中(年龄的OR为1.04),并且可能被未测量的变量(如虚弱或社会支持bb0)混淆。令人惊讶的是,高血压似乎具有保护作用,这与传统的预期相矛盾。这一反直觉的发现可能反映了高血压患者的生理缓冲或其他未测量的有利特征的聚类。我们认为,这表明有必要探索心衰患者的血管自主表型,这是一个尚未开发的前沿领域。此外,关注四种常见不良反应,心动过缓、低血压、高钾血症和肾功能不全,虽然实用,但忽视了其他常见的临床障碍,如疲劳、头晕、acei引起的咳嗽、多药,以及最重要的治疗惰性[2,3]。临床惰性,即在控制欠佳的情况下不愿加强治疗,已被证明严重阻碍了GDMT的应用,超过50%的医生根据预期而不是实际的ae[4]减少治疗。该研究的人群相对年轻,合并症较少,还有一个显著的“肥胖悖论”:肥胖患者更有可能达到目标剂量。这反映了瑞典HF登记处的发现,肥胖患者有更大的GDMT依从性,可能是由于生理储备或临床医生偏见[5]。这一观察结果提出了一个问题:GDMT的目标应该是个性化的,而不是统一的吗?重要的是,作者报告在SGLT2抑制剂患者中没有滴定限制性ae,这与新出现的证据一致,表明SGLT2抑制剂具有良好的安全性,并支持其作为HFrEF基础治疗的扩大使用[1,6]。未来的研究应超越严格的剂量目标,转向个性化、表型驱动的策略,包括脆弱指数、生物标志物引导的滴定和技术增强的监测。例如,STRONG-HF试验表明,尽管轻微ae发生率增加,但出院后快速升滴定和密切随访导致死亡或HF住院的相对风险降低34%。Velasco等人正确地呼吁在GDMT研究中标准化声发射定义。我们强调需要标准化的管理算法,以及详细说明何时暂停,重新挑战或继续治疗。这样的框架可以减轻临床医生的犹豫,并弥合指南理想与临床现实之间的差距。总之,虽然作者已经推进了GDMT优化的论述,但前进的道路需要临床细微差别、系统级解决方案和个性化护理的整合。我们赞扬他们的努力,并提倡进一步的研究,敢于质疑假设,提高心衰治疗中以患者为中心的准确性。所有作者对手稿的编写都作出了同等的贡献。作者没有什么可报告的。作者没有什么可报告的。作者声明无利益冲突。
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引用次数: 0
Exploring the Interaction Between Sleep Patterns, Cardiac Autonomic Function, and Traditional Cardiovascular Risk Factors Following Acute Myocardial Infarction 探讨急性心肌梗死后睡眠模式、心脏自主功能和传统心血管危险因素之间的相互作用
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-24 DOI: 10.1002/clc.70183
Mohamed Ali Hbaieb, Laurent Bosquet, Omar Hammouda, Raghda Hbaieb, Ines Mezghani, Salma Charfeddine, Leila Abid, Mouna Turki, Tarak Driss, Benoit Dugué

Background

Monitoring lifestyle habits and physiological metrics are essential for improving cardiovascular outcomes and supporting recovery after acute cardiac events. Sleep is acknowledged as a core component of cardiovascular health and a predictive tool of adverse outcomes following acute myocardial infarction (AMI).

Objective

The present study aimed to assess sleep metrics and explore the links between sleep patterns, heart rate variability (HRV) parameters, and traditional cardiovascular risk factors in patients with AMI.

Methods

Sixty male patients with AMI (56.77 ± 8.24 years) participated in this study. Cardiac autonomic function was assessed with short-term HRV analysis during the second week post-AMI. Physical activity level was assessed using accelerometers. Sleep quality and quantity were evaluated objectively using a wrist-worn accelerometer and subjectively by the Pittsburgh Sleep Quality Index. Chronotype was evaluated with the Horne and Otsberg questionnaire.

Results

Twenty post-AMI patients (33.3%) tended to experience poor sleep quality, with a sleep efficiency inferior to 85%. Thirty patients (50%) experienced short sleep duration, 16 (26.7%) had a healthy sleep duration (7−8 h), and 14 (23.3%) slept more than 8 h. Multiple regression analysis revealed that patients with healthy sleep quality and quantity exhibited higher HRV parameters, both in time and frequency domain values (p < 0.05). Low physical activity level was observed in patients with long sleep duration (p = 0.005) and evening chronotype (p = 0.022).

Conclusion

Patients who spent more time performing moderate to vigorous physical activity tended to exhibit good sleep health and increased parasympathetic activity which are considered cardioprotective after AMI.

Trial Registration: PACTR202208834230748.

监测生活习惯和生理指标对于改善心血管结局和支持急性心脏事件后的恢复至关重要。睡眠被认为是心血管健康的核心组成部分,也是急性心肌梗死(AMI)后不良后果的预测工具。目的本研究旨在评估AMI患者的睡眠指标,并探讨睡眠模式、心率变异性(HRV)参数与传统心血管危险因素之间的联系。方法对60例男性AMI患者(56.77±8.24岁)进行研究。ami后第二周通过短期HRV分析评估心脏自主神经功能。使用加速度计评估身体活动水平。客观使用腕带加速计评估睡眠质量和睡眠时间,主观使用匹兹堡睡眠质量指数评估睡眠质量和睡眠时间。使用Horne和Otsberg问卷对睡眠类型进行评估。结果20例ami后患者(33.3%)睡眠质量较差,睡眠效率低于85%。30例(50%)睡眠时间短,16例(26.7%)睡眠时间健康(7 - 8小时),14例(23.3%)睡眠时间超过8小时。多元回归分析显示,睡眠质量和睡眠量健康的患者HRV参数在时域和频域值上均较高(p < 0.05)。睡眠时间长(p = 0.005)和晚睡型(p = 0.022)的患者体力活动水平低。结论急性心肌梗死后进行中高强度体育锻炼的患者睡眠健康状况良好,副交感神经活动增加,对心脏有保护作用。试验注册:PACTR202208834230748。
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引用次数: 0
Bridging the Gap Between Artificial Intelligence Understanding and Clinical Implementation in Cardiovascular Medicine: A Commentary on Heinrich and Voigt's Review 弥合心血管医学中人工智能理解与临床应用之间的差距:对Heinrich和Voigt综述的评论
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-23 DOI: 10.1002/clc.70185
Shaher Yar, Keshav R. Baskaran, Aarushi Mishra, Pratiksha Paudel
<p>The comprehensive analysis by Heinrich and Voigt on artificial intelligence (AI) concepts in cardiovascular medicine has piqued our interest [<span>1</span>]. Their methodical approach to clarifying AI principles provides an essential foundation for physicians' knowledge and understanding of AI in clinical practice. However, we believe that the discussion would benefit from addressing significant implementation gaps beyond theoretical understanding. It is essential to consider the practical challenges that hinder the adoption of AI in routine cardiovascular practice.</p><p>While inadequate understanding and mistrust among physicians certainly pose barriers to the acceptance of AI, institutional infrastructure constraints represent equally significant challenges. Many healthcare systems still lack the robust technical infrastructure, effective data standardization procedures, and cohesive regulatory frameworks necessary for the seamless integration of AI [<span>2</span>]. This is particularly concerning in resource-limited environments, where the potential benefits of AI could be most transformative. For healthcare managers and physicians contemplating AI integration into their clinical practice, the fragmented regulatory landscape, exacerbated by rapidly changing FDA approval procedures for AI-enabled medical devices, adds another layer of uncertainty.</p><p>Validation problems in cardiovascular AI models require special attention. While many of these models demonstrate impressive performance in retrospective studies, they often struggle to produce generalizability in prospective studies in clinical settings. Although controlled studies indicate that 68.75% of AI interventions lead to clinical improvements compared to human experts, only 17.2% of these interventions have been subjected to randomized controlled trials [<span>3</span>]. This highlights a significant gap in evidence. The discrepancy between theoretical potential and actual performance underscores the need for robust external validation systems that take into account institutional variations, demographic diversity, and differences in equipment.</p><p>The authors rightly emphasize the importance of physician education and understanding of AI integration. However, successful implementation requires coordinated and multidisciplinary strategies. Currently, AI development is often driven by industry silos that prioritize commercial viability over clinical effectiveness. The lack of physician involvement in AI training and validation has resulted in models that, despite theoretical promise, lack significant clinical benefits [<span>4</span>]. Additionally, the complexity of these models, often described as “black boxes,” undermines physician confidence and complicates medical decision-making, particularly in terms of accountability [<span>4</span>].</p><p>In addition to technical issues, it's important to consider the financial implications of integrating AI. Smaller institutions and un
Heinrich和Voigt对心血管医学中人工智能(AI)概念的全面分析引起了我们的兴趣。他们有条不紊地阐明了人工智能原理,为医生在临床实践中认识和理解人工智能奠定了重要基础。然而,我们认为,解决超出理论理解的重大实施差距将有利于讨论。必须考虑到阻碍人工智能在常规心血管实践中应用的实际挑战。虽然医生之间的不充分理解和不信任肯定会对接受人工智能造成障碍,但机构基础设施的限制也代表着同样重大的挑战。许多医疗保健系统仍然缺乏强大的技术基础设施、有效的数据标准化程序以及无缝集成人工智能所需的内聚性监管框架。这在资源有限的环境中尤其令人担忧,因为人工智能的潜在好处可能是最具变革性的。对于考虑将人工智能整合到临床实践中的医疗保健管理人员和医生来说,由于FDA对人工智能医疗设备的批准程序迅速变化,监管格局的碎片化加剧了另一层不确定性。心血管AI模型的验证问题需要特别关注。虽然这些模型中的许多在回顾性研究中表现出令人印象深刻的表现,但它们往往难以在临床环境中的前瞻性研究中产生普遍性。尽管对照研究表明,与人类专家相比,68.75%的人工智能干预措施导致了临床改善,但这些干预措施中只有17.2%进行了随机对照试验[10]。这凸显了证据上的重大差距。理论潜力和实际性能之间的差异强调需要考虑到制度差异、人口多样性和设备差异的强大的外部验证系统。作者正确地强调了医生教育和理解人工智能集成的重要性。然而,成功的实施需要协调的多学科战略。目前,人工智能的发展往往是由行业孤岛驱动的,它们优先考虑商业可行性,而不是临床有效性。由于缺乏医生参与人工智能的培训和验证,导致一些模型尽管在理论上很有希望,但缺乏显著的临床效益。此外,这些模型的复杂性,通常被描述为“黑盒子”,破坏了医生的信心,使医疗决策复杂化,特别是在问责制方面。除了技术问题,考虑整合人工智能的财务影响也很重要。由于高计算成本和基础设施要求,小型机构和贫困地区尤其面临着重大挑战。虽然这些环境可以从增强的诊断和预后能力中受益匪浅,但它们往往缺乏充分整合人工智能的必要工具。这些发现使我们提出了四项关键建议,以加强人工智能在心血管医学中的应用。首先,我们敦促制定全面的实施策略,以解决跨不同医疗保健环境的技术、法规和工作流程集成问题。其次,建立协作验证系统对于在不同公司和患者群体中对人工智能模型进行彻底的外部测试至关重要。第三,我们建议有针对性的医生教育计划,将实践经验与理论知识相结合,以增强对人工智能辅助决策的信心。最后,我们呼吁对心血管实践中的人工智能系统进行严格的上市后监督,同时简化监管流程,以加快审批速度。从人工智能研究到临床应用的过渡需要一个系统的方法来应对各种挑战。虽然Heinrich和Voigt的研究提供了重要的理论基础,但人工智能的成功整合还取决于克服实际实施障碍。认识到这些挑战并制定全面的解决方案,将使心血管社区能够充分利用人工智能的变革力量,并确保在各种医疗保健环境中公平获取。作者声明无利益冲突。
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引用次数: 0
A Valuable Contribution to Atrial Fibrillation Ablation in Young Adults: The Role of Long-Term Follow-Up and Silent Atrial Fibrillation Monitoring 对年轻人房颤消融的宝贵贡献:长期随访和沉默房颤监测的作用
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-22 DOI: 10.1002/clc.70182
Elif Y. Arı, Özden Seçkin, Serkan Ünlü

We read with great interest the article titled “Clinical Characteristics and Outcomes of Catheter Ablation in Young Patients With Atrial Fibrillation” by Wang et al. [1]. We commend the authors for addressing an important and underexplored area in the management of atrial fibrillation (AF) among young patients.

AF is the most common sustained arrhythmia in adults, and its prevalence has been increasing among younger individuals in recent years. While catheter ablation (CA) has emerged as an effective treatment modality—especially in patients who are symptomatic or refractory to antiarrhythmic drugs—data specific to young populations remain limited. In this context, the study by Wang et al. [1] offers valuable insights into procedural outcomes and recurrence predictors following CA in young adults. Notably, the large sample size and comprehensive reporting of procedural characteristics strengthen the reliability and generalizability of the findings.

However, we would like to highlight some important limitations that deserve consideration. First, the average follow-up duration reported in the study was only 249 days [1]. While this duration may capture early procedural success, it falls short of assessing long-term rhythm outcomes, which are particularly relevant in a young population expected to live for decades after the intervention. Late AF recurrences represent a significant clinical issue, especially when sustained sinus rhythm is a primary therapeutic goal in younger patients.

Several studies have demonstrated that AF may recur even many years after apparently successful ablation. For example, Winkle et al. [2] reported a decline in freedom from AF from 68% at 5 years to 48% at 15 years postablation. Similarly, Steinberg et al. [3] and Erhard et al. [4] emphasized that late recurrences are common, and long-term follow-up is essential for understanding the true durability of CA. In particular, Erhard et al. showed that arrhythmia recurrence can occur even beyond the first 12 months [4], potentially due to progressive electrical remodeling or emerging triggers. Such late events may necessitate additional interventions or repeat procedures. In light of these findings, Calkins and others have underscored the importance of long-term surveillance and careful patient selection [5].

Furthermore, as young individuals often experience asymptomatic (silent) AF episodes, relying solely on symptom-driven follow-up may lead to underestimation of true recurrence rates. Incorporating prolonged rhythm monitoring techniques—such as extended Holter monitoring or implantable loop recorders—beyond the standard 3-month blanking period would likely yield a more accurate assessment of long-term procedural efficacy.

In addition, several reports have highlighted the importance of AF duration before ablation as a strong predictor of

我们饶有兴趣地阅读了Wang等人的文章《年轻房颤患者导管消融的临床特点和结果》。我们赞扬作者在年轻患者房颤(AF)的管理中解决了一个重要的和未开发的领域。房颤是成人中最常见的持续性心律失常,近年来其在年轻人中的患病率呈上升趋势。虽然导管消融(CA)已成为一种有效的治疗方式,特别是对有症状或抗心律失常药物难治性的患者,但针对年轻人群的数据仍然有限。在这种背景下,Wang等人的研究为年轻人CA术后的手术结果和复发预测因素提供了有价值的见解。值得注意的是,大样本量和对程序特征的全面报告加强了研究结果的可靠性和普遍性。然而,我们要强调一些值得考虑的重要限制。首先,该研究报告的平均随访时间仅为249天。虽然这个持续时间可以捕捉到早期的手术成功,但它无法评估长期的节律结果,这与预期在干预后活几十年的年轻人尤其相关。晚期房颤复发是一个重要的临床问题,特别是当持续的窦性心律是年轻患者的主要治疗目标时。几项研究表明,房颤可能在明显成功消融多年后复发。例如,Winkle等人报道AF的自由度从消融后5年的68%下降到消融后15年的48%。同样,Steinberg等人([3])和Erhard等人([4])强调晚期复发是常见的,长期随访对于了解CA的真正持久性至关重要。特别是,Erhard等人表明,心律失常复发甚至可能超过前12个月([4]),可能是由于进行性电重构或新出现的触发因素。这种晚期事件可能需要额外的干预或重复程序。鉴于这些发现,Calkins和其他人强调了长期监测和仔细选择患者的重要性。此外,由于年轻人经常经历无症状(无症状)房颤发作,单纯依靠症状驱动的随访可能会导致低估真实复发率。在标准的3个月空白期之外,结合延长心律监测技术——如延长霍尔特监测或植入式循环记录仪——可能会产生更准确的长期手术疗效评估。此外,一些报告强调了消融前房颤持续时间的重要性,作为成功的有力预测指标。病程较短的患者往往有更有利的心房底物和预后。不幸的是,目前的研究没有提供消融前房颤持续时间的信息,这限制了可解释性。在未来的分析中包括这一变量将增强对患者风险进行分层并相应地调整治疗策略的能力。最后,我们再次祝贺作者对文献的宝贵贡献。然而,我们认为未来的研究应该纳入更长的随访期,并将手术前房颤持续时间作为结果的关键决定因素。此外,使用能够检测无症状房颤发作的客观监测策略对于准确评估CA在这一独特且日益相关的患者群体中的长期成功至关重要。
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引用次数: 0
Comments on “Association Between F-SIRI and Adverse Prognosis in Patients With Chronic Heart Failure” 关于“慢性心力衰竭患者F-SIRI与不良预后的关系”的评论
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-21 DOI: 10.1002/clc.70181
Çağrı Zorlu
<p>We read with interest the article by Liu et al. published in Clinical Cardiology (2025; DOI: 10.1002/clc.70166), which explores the prognostic value of the fibrinogen and systemic inflammation response index (F-SIRI) in patients with chronic heart failure (CHF) [<span>1</span>] The study provides valuable insights into the role of inflammation and coagulation in CHF risk stratification. However, we would like to raise several points for clarification and discussion to enhance the interpretation of the findings.</p><p>The authors determined F-SIRI cut-off values (SIRI ≥ 1.22, fibrinogen ≥ 2.55 g/L) using a Receiver Operating Characteristic (ROC) curve with 100 random splits and threefold cross-validation. While this approach is robust, the rationale for selecting these specific cut-offs and their generalizability across diverse CHF populations is unclear. Could the authors provide further details on how these thresholds were validated externally or compared to existing literature? For instance, studies like Xia et al. used different SIRI cut-offs for cardiovascular outcomes, which may affect the reproducibility of F-SIRI [<span>2</span>]. Additionally, the single measurement of F-SIRI at admission may not capture dynamic inflammatory changes, as acknowledged in the limitations. Have the authors considered serial measurements to assess the stability of F-SIRI's prognostic value?</p><p>The study reports a significant association between higher F-SIRI levels and all-cause mortality (adjusted HR 2.37, 95% CI 1.46–3.83, <i>p</i> < 0.001) but no significant association with major adverse cardiac and cerebral events (MACCEs) or cardiovascular death after multivariate adjustments. This discrepancy is puzzling, as inflammation and coagulation are established contributors to cardiovascular events in CHF [<span>3, 4</span>]. For example, the CANTOS trial demonstrated that targeting inflammation reduces cardiovascular events in patients with elevated inflammatory markers [<span>5</span>]. Could the authors elaborate on potential reasons why F-SIRI predicts all-cause mortality but not cardiovascular-specific outcomes? Specifically, were non-cardiovascular causes of death (e.g., infections and malignancies) analyzed separately to explain this finding?</p><p>The multivariate Cox models adjusted for numerous confounders, including demographics, comorbidities, and medications. However, the study does not account for the severity of heart failure, such as New York Heart Association (NYHA) functional class or specific etiologies (e.g., ischemic vs. non-ischemic CHF). These factors significantly influence prognosis and inflammatory markers [<span>6</span>]. Could the authors clarify whether NYHA class or heart failure etiology was considered in the analysis? Additionally, the lack of significant differences in left ventricular ejection fraction (LVEF) across F-SIRI groups (<i>p</i> = 0.3596) is surprising, given the known association between inflammation and re
我们饶有兴趣地阅读了Liu等人发表在《临床心脏病学》(2025;DOI: 10.1002/clc.70166),该研究探讨了纤维蛋白原和全身炎症反应指数(F-SIRI)在慢性心力衰竭(CHF)患者中的预后价值。该研究为炎症和凝血在CHF风险分层中的作用提供了有价值的见解。然而,我们想提出几点澄清和讨论,以加强对调查结果的解释。作者使用100次随机分割的受试者工作特征(ROC)曲线和三次交叉验证确定F-SIRI截断值(SIRI≥1.22,纤维蛋白原≥2.55 g/L)。虽然这种方法是可靠的,但选择这些特定截断值的基本原理及其在不同CHF人群中的普遍性尚不清楚。作者能否提供关于这些阈值如何在外部验证或与现有文献进行比较的进一步细节?例如,Xia等人的研究对心血管结果使用了不同的SIRI截止值,这可能会影响F-SIRI bbb的可重复性。此外,入院时单次测量F-SIRI可能无法捕捉到动态炎症变化,这在局限性中得到了承认。作者是否考虑过系列测量来评估F-SIRI预后价值的稳定性?该研究报告了较高的F-SIRI水平与全因死亡率之间的显著相关性(校正后的HR 2.37, 95% CI 1.46-3.83, p < 0.001),但在多因素调整后与主要不良心脑事件(MACCEs)或心血管死亡之间没有显著相关性。这种差异令人费解,因为炎症和凝血是CHF中心血管事件的确定因素[3,4]。例如,CANTOS试验表明,靶向炎症可减少炎症标志物[5]升高患者的心血管事件。作者能否详细说明为什么F-SIRI能预测全因死亡率,而不能预测心血管疾病的具体结果?具体来说,是否单独分析了非心血管死亡原因(例如感染和恶性肿瘤)来解释这一发现?多变量Cox模型调整了许多混杂因素,包括人口统计学、合并症和药物。然而,该研究并未考虑心力衰竭的严重程度,如纽约心脏协会(NYHA)功能分类或特定病因(如缺血性与非缺血性CHF)。这些因素显著影响预后和炎症标志物[6]。作者能否澄清在分析中是否考虑了NYHA类别或心力衰竭病因?此外,考虑到炎症和左心室射血分数(LVEF)降低与射血分数(HFrEF)降低之间的已知关联,F-SIRI组间左心室射血分数(LVEF)缺乏显著差异(p = 0.3596)令人惊讶。作者是否可以讨论将HFrEF和心力衰竭合并保留射血分数(HFpEF)患者纳入是否会稀释这种相关性?这篇文章报道了F-SIRI组的全因死亡和心血管死亡发生率相同(例如,两种结果中,F-SIRI = 0的发生率为24 [6.94%],F-SIRI = 1的发生率为82 [11.19%],F-SIRI = 2的发生率为101[19.80%])。这可能是一个报告错误,因为全因死亡应包括心血管和非心血管死亡。作者能否确认这是否是一个印刷错误或对数据进行澄清?此外,限制性三次样条分析表明SIRI与预后之间存在非线性关系,但讨论并未探讨这一发现的临床意义。作者能否详细说明这种非线性如何影响F-SIRI在风险分层中的实际应用?作者强调了F-SIRI对传统危险因素的预测价值,但没有将其性能与已建立的炎症标志物如c反应蛋白(CRP)或白细胞介素-6 (IL-6)进行比较,这些标志物在瑞士被广泛研究。鉴于F-SIRI是一种复合标志物,与CRP或其他指标(如中性粒细胞与淋巴细胞比率)的直接比较将加强其优越预后效用的主张。作者是否考虑过这样的比较,如果没有,他们是否可以讨论在未来的研究中包括这些标记的可行性?总之,Liu等人的研究是将炎症和凝血标志物结合起来预测CHF的值得赞扬的一步。然而,解决上述问题可以提高F-SIRI的稳健性和临床适用性。我们鼓励作者澄清这些方面,并考虑前瞻性研究来验证他们的发现。我们感谢有机会参与这次科学讨论,并感谢作者对该领域的贡献。作者声明无利益冲突。
{"title":"Comments on “Association Between F-SIRI and Adverse Prognosis in Patients With Chronic Heart Failure”","authors":"Çağrı Zorlu","doi":"10.1002/clc.70181","DOIUrl":"https://doi.org/10.1002/clc.70181","url":null,"abstract":"&lt;p&gt;We read with interest the article by Liu et al. published in Clinical Cardiology (2025; DOI: 10.1002/clc.70166), which explores the prognostic value of the fibrinogen and systemic inflammation response index (F-SIRI) in patients with chronic heart failure (CHF) [&lt;span&gt;1&lt;/span&gt;] The study provides valuable insights into the role of inflammation and coagulation in CHF risk stratification. However, we would like to raise several points for clarification and discussion to enhance the interpretation of the findings.&lt;/p&gt;&lt;p&gt;The authors determined F-SIRI cut-off values (SIRI ≥ 1.22, fibrinogen ≥ 2.55 g/L) using a Receiver Operating Characteristic (ROC) curve with 100 random splits and threefold cross-validation. While this approach is robust, the rationale for selecting these specific cut-offs and their generalizability across diverse CHF populations is unclear. Could the authors provide further details on how these thresholds were validated externally or compared to existing literature? For instance, studies like Xia et al. used different SIRI cut-offs for cardiovascular outcomes, which may affect the reproducibility of F-SIRI [&lt;span&gt;2&lt;/span&gt;]. Additionally, the single measurement of F-SIRI at admission may not capture dynamic inflammatory changes, as acknowledged in the limitations. Have the authors considered serial measurements to assess the stability of F-SIRI's prognostic value?&lt;/p&gt;&lt;p&gt;The study reports a significant association between higher F-SIRI levels and all-cause mortality (adjusted HR 2.37, 95% CI 1.46–3.83, &lt;i&gt;p&lt;/i&gt; &lt; 0.001) but no significant association with major adverse cardiac and cerebral events (MACCEs) or cardiovascular death after multivariate adjustments. This discrepancy is puzzling, as inflammation and coagulation are established contributors to cardiovascular events in CHF [&lt;span&gt;3, 4&lt;/span&gt;]. For example, the CANTOS trial demonstrated that targeting inflammation reduces cardiovascular events in patients with elevated inflammatory markers [&lt;span&gt;5&lt;/span&gt;]. Could the authors elaborate on potential reasons why F-SIRI predicts all-cause mortality but not cardiovascular-specific outcomes? Specifically, were non-cardiovascular causes of death (e.g., infections and malignancies) analyzed separately to explain this finding?&lt;/p&gt;&lt;p&gt;The multivariate Cox models adjusted for numerous confounders, including demographics, comorbidities, and medications. However, the study does not account for the severity of heart failure, such as New York Heart Association (NYHA) functional class or specific etiologies (e.g., ischemic vs. non-ischemic CHF). These factors significantly influence prognosis and inflammatory markers [&lt;span&gt;6&lt;/span&gt;]. Could the authors clarify whether NYHA class or heart failure etiology was considered in the analysis? Additionally, the lack of significant differences in left ventricular ejection fraction (LVEF) across F-SIRI groups (&lt;i&gt;p&lt;/i&gt; = 0.3596) is surprising, given the known association between inflammation and re","PeriodicalId":10201,"journal":{"name":"Clinical Cardiology","volume":"48 7","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clc.70181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Response by Deng et al. Regarding Article, “C-Reactive Protein–Albumin–Lymphocyte (CALLY) Index as an Independent Risk Factor for Postoperative Atrial Fibrillation Recurrence” 邓等人的回应。关于《c -反应蛋白-白蛋白淋巴细胞(CALLY)指数作为房颤术后复发的独立危险因素》一文
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-21 DOI: 10.1002/clc.70184
Ye Deng, Yuan Ji, Ling Sun

We thank the authors for their thoughtful comments on our article “C-Reactive Protein–Albumin–Lymphocyte (CALLY) Index as an Independent Risk Factor for Postoperative Atrial Fibrillation Recurrence” [1] and appreciate the opportunity to address their considerations.

First, Repeat ablations were performed in a subset of patients with recurrent AF, during which the status of pulmonary vein isolation was assessed. Regrettably, the sample size of these cases was insufficient to warrant a formal subgroup analysis. However, we hypothesize that a higher CALLY index may indicate inherently poorer atrial substrate properties—specifically, that an activated inflammatory state could facilitate myocardial fibrosis and the formation of reentrant circuits, thereby predisposing to AF recurrence. This hypothesis, of course, necessitates validation through further clinical and preclinical investigations.

Second, we concur that the CALLY index, which incorporates albumin levels, may reflect an activated inflammatory state that encompasses hepatic processes. Accumulating evidence suggests potential crosstalk between the liver and heart in the context of cardiovascular disease: for instance, cardiovascular conditions have been shown to exacerbate liver fibrosis in patients with fatty liver disease, with Ly6Chi monocytes playing a pivotal role [2]. It is reasonable to hypothesize that such liver-heart interactions may contribute to AF recurrence, potentially mediated by the inflammatory pathways captured by the CALLY index. As you suggested, advanced imaging modalities (e.g., cardiac magnetic resonance imaging) would undoubtedly help elucidate the intricate relationships between the CALLY index, myocardial inflammation, and AF recurrence. This constitutes a pivotal direction for our subsequent research endeavors.

Third, our baseline data revealed no significant association between alcohol consumption and AF recurrence. This is also consistent with previous study [3]. We acknowledge that larger-scale and multicenter studies are warranted to more thoroughly explore the potential role of alcohol and other lifestyle factors in AF recurrence.

Finally, we thank the authors for their insightful comments, which have improved our work's clarity and interpretative depth, thereby enhancing its clinical value in guiding AF treatment.

The authors declare no conflicts of interest.

我们感谢作者对我们的文章《c反应蛋白-白蛋白-淋巴细胞(CALLY)指数作为房颤术后复发的独立危险因素》发表的深思熟虑的评论,并感谢有机会解决他们的考虑。首先,对一部分复发性房颤患者进行重复消融,在此期间评估肺静脉隔离状态。遗憾的是,这些病例的样本量不足以保证正式的亚组分析。然而,我们假设较高的CALLY指数可能表明固有的较差的心房底物特性-具体而言,激活的炎症状态可能促进心肌纤维化和再入回路的形成,从而易导致房颤复发。当然,这一假设需要通过进一步的临床和临床前研究来验证。其次,我们一致认为,CALLY指数,包括白蛋白水平,可能反映了激活的炎症状态,包括肝脏过程。越来越多的证据表明,在心血管疾病的背景下,肝脏和心脏之间存在潜在的串扰:例如,心血管疾病已被证明会加剧脂肪肝患者的肝纤维化,其中Ly6Chi单核细胞在[2]中起关键作用。我们有理由假设这种肝-心相互作用可能导致房颤复发,可能是由CALLY指数捕获的炎症途径介导的。正如您所建议的,先进的成像方式(如心脏磁共振成像)无疑将有助于阐明CALLY指数、心肌炎症和房颤复发之间的复杂关系。这是我们后续研究的一个关键方向。第三,我们的基线数据显示饮酒与房颤复发之间没有显著关联。这也与之前的研究b[3]一致。我们承认需要更大规模和多中心的研究来更彻底地探索酒精和其他生活方式因素在房颤复发中的潜在作用。最后,感谢作者的宝贵意见,提高了我们工作的清晰度和阐释深度,从而提高了其指导房颤治疗的临床价值。作者声明无利益冲突。
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引用次数: 0
Tolerability and Adverse Effects in a Specialized Heart Failure Guideline-Directed Medical Therapy Optimization Program 在一个专门的心衰指导的药物治疗优化方案的耐受性和不良反应
IF 2.4 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2025-07-15 DOI: 10.1002/clc.70179
Claudia Mae Velasco, Gladys Baksh, Michele Haydo, Heather Reesor, John Boehmer, Omaima Ali

Background

Utilization of heart failure (HF) guideline-directed medical therapy (GDMT) to target doses is suboptimal, with studies citing adverse effects (AEs), physiological factors, and therapeutic inertia as potential contributing factors. The objective of our study was to explore tolerability and GDMT titration-limiting AEs in a specialized heart failure optimization program implemented at our institution.

Methods

We studied the baseline characteristics of 254 patients who successfully completed our program and analyzed the frequency and severity of the four most common GDMT-related AEs: hypotension, bradycardia, hyperkalemia, and renal dysfunction.

Results

Patients who achieved target doses were younger, more likely to have nonischemic HF, less likely to have a recent HF-related hospitalization, had less coronary artery disease, and were more likely to be obese. Multivariate analyses revealed significant associations between beta blocker suboptimal dosing (< 50% of target dose) and older age (odds ratio [OR]: 1.04; 95% confidence interval [CI]: 1.0–1.07; p = 0.031), presence of atrial fibrillation (OR: 2.57; 95% CI: 1.18–5.58; p = 0.017), and absence of hypertension (OR: 0.39; 95% CI: 0.17–0.89; p = 0.025). For angiotensin converting enzyme inhibitors/angiotensin II receptor blockers/angiotensin receptor neprilysin inhibitors, suboptimal dosing was associated with the presence of atrial fibrillation (OR: 2.08; 95% CI: 1.04–4.17; p = 0.039). Of the patients who completed the program, 59.1% encountered at least one AE that hindered the titration to target GDMT doses.

Conclusion

Our findings highlight the complexities of GDMT optimization within a specialized program and the need for standardized definitions of GDMT-related AEs and management strategies.

研究表明,不良反应(ae)、生理因素和治疗惯性是潜在的影响因素,心衰(HF)指南导向药物治疗(GDMT)的目标剂量利用率不是最佳的。我们研究的目的是探索在我们机构实施的一个专门的心力衰竭优化项目中的耐受性和GDMT滴定限制ae。方法:我们研究了254例成功完成项目的患者的基线特征,并分析了四种最常见的gdmt相关ae的频率和严重程度:低血压、心动过缓、高钾血症和肾功能不全。结果:达到目标剂量的患者更年轻,更容易发生非缺血性心力衰竭,近期因心力衰竭住院的可能性更小,冠状动脉疾病更少,肥胖的可能性更大。多变量分析显示-受体阻滞剂次优剂量(目标剂量的50%)与年龄之间存在显著关联(优势比[OR]: 1.04;95%置信区间[CI]: 1.0-1.07;p = 0.031),房颤的存在(OR: 2.57;95% ci: 1.18-5.58;p = 0.017),无高血压(OR: 0.39;95% ci: 0.17-0.89;p = 0.025)。对于血管紧张素转换酶抑制剂/血管紧张素II受体阻滞剂/血管紧张素受体抑制剂,次优剂量与房颤的存在相关(OR: 2.08;95% ci: 1.04-4.17;p = 0.039)。在完成该计划的患者中,59.1%的患者遇到了至少一种AE,阻碍了GDMT靶剂量的滴定。我们的研究结果强调了在一个专门的程序中GDMT优化的复杂性,以及对GDMT相关ae和管理策略的标准化定义的必要性。
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引用次数: 0
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Clinical Cardiology
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