Department of General Internal Medicine, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Ontario, Canada; Department of Internal Medicine, Montpellier University Hospital, Montpellier, France.
Department of Internal Medicine, Hospital de Badalona Germans Trias I Pujol, Barcelona, Spain.
Thromb Res. 2018 Apr;164:100-109. doi: 10.1016/j.thromres.2017.07.026. Epub 2017 Jul 24.
The post thrombotic syndrome (PTS) refers to clinical manifestations of chronic venous insufficiency (CVI) following a deep-vein thrombosis (DVT). PTS is the most frequent complication of DVT, which develops in 20 to 50% of cases after proximal DVT and is severe in 5-10% of cases. The reported prevalence of PTS differs widely among studies because of differences in study populations, tools used to assess PTS, and time interval between acute DVT and PTS assessment. The two most important predictors of PTS are extensive proximal character of DVT and previous ipsilateral DVT. Other reported risk factors include pre-existing CVI, obesity, quality of anticoagulant treatment, older age and residual venous obstruction. Standardization of PTS assessment tools combined with the development of patient self-reported PTS scales are likely to constitute a breakthrough in research of the epidemiology of PTS, by allowing comparison between studies, meta-analyses and increasing the feasibility of longer follow-up of DVT patients. This should enable identification of patient populations at high risk of severe PTS, new predictors of PTS and targets for potential new treatments. In this perspective, identification of biomarkers that are predictive of PTS such as markers of inflammation is crucial in ongoing research.
血栓后综合征(PTS)是深静脉血栓形成(DVT)后出现慢性静脉功能不全(CVI)的临床表现。PTS 是 DVT 最常见的并发症,近端 DVT 后有 20%至 50%的病例会发生 PTS,5%至 10%的病例会发生严重 PTS。由于研究人群、评估 PTS 所使用的工具以及急性 DVT 和 PTS 评估之间的时间间隔不同,因此不同研究报道的 PTS 患病率差异很大。PTS 的两个最重要的预测因素是 DVT 的广泛近端特征和同侧 DVT 病史。其他报道的危险因素包括既往存在的 CVI、肥胖、抗凝治疗质量、年龄较大和静脉残留阻塞。PTS 评估工具的标准化以及患者自报 PTS 量表的开发可能会成为 PTS 流行病学研究的突破,通过允许研究之间的比较、荟萃分析并增加 DVT 患者的长期随访可行性。这将有助于确定 PTS 高危人群、PTS 的新预测因素以及潜在新治疗方法的目标。在这方面,识别 PTS 预测性生物标志物(如炎症标志物)在正在进行的研究中至关重要。