颈动脉狭窄：临床医生指南。

IF 1 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Future cardiology Pub Date : 2025-07-22 DOI:10.1080/14796678.2025.2530909

Kamran Namjouyan, Jonathan A Tangsrivimol, Affan Rizwan, Iqra Riaz, Johao Escobar, Muzamil Khawaja, Hafeez Hassan Virk, Mahboob Alam, Alan Dardik, Chayakrit Krittanawong

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引用次数: 0

摘要

颈动脉狭窄（CS）是与缺血性卒中相关的关键诊断，是发病率和死亡率的主要原因，影响约4%的普通人群。CS的危险因素包括年龄、高血压、血脂异常、糖尿病和吸烟，已知动脉粥样硬化性疾病患者中45%存在多血管疾病。利用双工超声（DUS）等成像方式，早期识别和管理CS对于预防卒中至关重要。CS的管理涉及复杂的决策，需要平衡干预与发展中的诊断和治疗方式的风险和收益。这篇叙述性综述旨在回顾和检查临床医生治疗CS的现行指南。

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Carotid artery stenosis: a guide for clinicians.

Carotid artery stenosis (CS) is a critical diagnosis linked to ischemic stroke, a leading cause of morbidity and mortality, affecting about 4% of the general population. Risk factors for CS include age, hypertension, dyslipidemia, diabetes, and smoking, with poly vascular disease seen in 45% of patients with known atherosclerotic disease. Early recognition and management of CS are crucial to prevent stroke by utilizing imaging modalities like Duplex ultrasound (DUS). Management of CS involves complex decision-making that balances the risks and benefits of intervention against the developing diagnostic and therapeutic modalities. This narrative review aims to review and examine the current guidelines for clinicians' approach to CS.

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来源期刊

Future cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

2.80

自引率

5.90%

发文量

期刊介绍： Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.