Department of Vascular Medicine, Academic Medical Center, Amsterdam, The Netherlands.
Department of Medical, Oral and Biotechnological Sciences, Gabriele D'Annunzio University, Chieti, Italy.
Thromb Res. 2017 Aug;156:54-59. doi: 10.1016/j.thromres.2017.05.035. Epub 2017 Jun 1.
Upper extremity deep vein thrombosis (UEDVT) accounts for 4% to 10% of all cases of deep vein thrombosis. UEDVT may present with localized pain, erythema, and swelling of the arm, but may also be detected incidentally by diagnostic imaging tests performed for other reasons. Prompt and accurate diagnosis is crucial to prevent pulmonary embolism and long-term complications as the post-thrombotic syndrome of the arm. Unlike the diagnostic management of deep vein thrombosis (DVT) of the lower extremities, which is well established, the work-up of patients with clinically suspected UEDVT remains uncertain with limited evidence from studies of small size and poor methodological quality. Currently, only one prospective study evaluated the use of an algorithm, similar to the one used for DVT of the lower extremities, for the diagnostic workup of clinically suspected UEDVT. The algorithm combined clinical probability assessment, D-dimer testing and ultrasonography and appeared to safely and effectively exclude UEDVT. However, before recommending its use in routine clinical practice, external validation of this strategy and improvements of the efficiency are needed, especially in high-risk subgroups in whom the performance of the algorithm appeared to be suboptimal, such as hospitalized or cancer patients. In this review, we critically assess the accuracy and efficacy of current diagnostic tools and provide clinical guidance for the diagnostic management of clinically suspected UEDVT.
上肢深静脉血栓形成 (UEDVT) 占所有深静脉血栓形成病例的 4% 至 10%。UEDVT 可能表现为手臂局部疼痛、红斑和肿胀,但也可能因其他原因进行的诊断性影像学检查而偶然发现。及时准确的诊断对于预防肺栓塞和血栓后综合征等长期并发症至关重要。与下肢深静脉血栓形成 (DVT) 的诊断管理相比,UEDVT 的诊断管理仍存在不确定性,研究规模较小且方法学质量较差,证据有限。目前,仅有一项前瞻性研究评估了使用类似于下肢 DVT 的算法对疑似 UEDVT 进行诊断性检查的效果。该算法结合了临床可能性评估、D-二聚体检测和超声检查,似乎能够安全有效地排除 UEDVT。然而,在推荐其在常规临床实践中使用之前,需要对该策略进行外部验证和提高效率,特别是在算法表现不佳的高危亚组中,例如住院患者或癌症患者。在本综述中,我们批判性地评估了当前诊断工具的准确性和有效性,并为疑似 UEDVT 的临床诊断管理提供了临床指导。