Department of Genetic Epidemiology, Institute of Human Genetics, University of Münster, Münster, Germany.
Department of Biochemistry, Genetic Epidemiology and Statistical Genetics, CARIM School for Cardiovascular Diseases, Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands.
Br J Haematol. 2018 Mar;180(5):654-665. doi: 10.1111/bjh.15060. Epub 2017 Dec 19.
Paediatric venous thromboembolism (VTE) is a rare disorder but a rising incidence has been observed in recent years, due to improved VTE diagnosis and increased use of central venous catheters in the treatment of severe diseases. Risk assessment strategies are well established for adult patients, however, similar guidelines for paediatric patients are largely lacking. Several risk prediction tools have been reported in recent literature, which make use of established risk factors to assess VTE risk in paediatric subgroups, such as hospitalised children, cancer-diagnosed children and paediatric trauma patients. Although these models suffer several limitations regarding their study size and heterogeneous selection of predictor variables, they offer potential for improving the thromboprophylaxis management in these children. Here, we give an overview on recently reported risk prediction models for paediatric VTE.
儿科静脉血栓栓塞症 (VTE) 较为罕见，但近年来其发病率呈上升趋势，这与 VTE 诊断水平的提高以及重症疾病治疗中中心静脉导管使用的增加有关。目前已经建立了成人患者的风险评估策略，但儿科患者的类似指南在很大程度上仍然缺乏。最近的文献中报道了几种风险预测工具，这些工具利用已确定的风险因素来评估儿科亚组（如住院患儿、诊断为癌症的患儿和儿科创伤患者）的 VTE 风险。尽管这些模型在研究规模和预测变量的异质性选择方面存在一些局限性，但它们为改善这些患儿的血栓预防管理提供了可能。在这里，我们概述了最近报道的儿科 VTE 风险预测模型。
