Suppr超能文献

浅静脉血栓形成:综述

Superficial Venous Thrombosis: A Comprehensive Review.

作者信息

Mangiafico Marco, Costanzo Luca

机构信息

Unit of Internal Medicine, Policlinico "G. Rodolico-San Marco" University Hospital, University of Catania, 95123 Catania, Italy.

Unit of Angiology, Department of Cardio-Thoraco-Vascular, Policlinico "G. Rodolico-San Marco" University Hospital, University of Catania, 95123 Catania, Italy.

出版信息

Healthcare (Basel). 2024 Feb 19;12(4):500. doi: 10.3390/healthcare12040500.

Abstract

Superficial venous thrombosis (SVT), an inflammatory-thrombotic process of a superficial vein, is a relatively common event that may have several different underlying causes. This phenomenon has been generally considered benign, and its prevalence has been historically underestimated; the estimated incidence ranges from about 0.3 to 1.5 event per 1000 person-years, while the prevalence is approximately 3 to 11%, with different reports depending on the population studied. However, such pathology is not free of complications; indeed, it could extend to the deep circulation and embolize to pulmonary circulation. For this reason, an ultrasound examination is recommended to evaluate the extension of SVT and to exclude the involvement of deep circulation. Also, SVT may be costly, especially in the case of recurrence. Therefore, accurate management is necessary to prevent sequelae and costs related to the disease. This review aims to analyse the epidemiology of SVT, its complications, optimal medical treatment, and open questions with future perspectives.

摘要

浅静脉血栓形成(SVT)是浅静脉的一种炎症性血栓形成过程,是一种相对常见的情况,可能有几种不同的潜在病因。这种现象通常被认为是良性的,其患病率在历史上一直被低估;估计发病率为每1000人年约0.3至1.5例,患病率约为3%至11%,不同报告因所研究的人群而异。然而,这种病理并非没有并发症;实际上,它可能会扩展到深循环并栓塞到肺循环。因此,建议进行超声检查以评估SVT的扩展并排除深循环受累。此外,SVT可能代价高昂,尤其是在复发的情况下。因此,需要准确的管理来预防与该疾病相关的后遗症和费用。本综述旨在分析SVT的流行病学、其并发症、最佳药物治疗以及未来展望中的未解决问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/669b/10888259/8edf10f53e98/healthcare-12-00500-g001.jpg

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