University Jean Monnet Saint-Etienne, EA3065, Saint-Etienne, France.
Crit Care Med. 2010 Feb;38(2 Suppl):S10-7. doi: 10.1097/CCM.0b013e3181c9cc3b.
There is a paucity of data assessing the risks and prevention of venous thromboembolism in critical care settings. Consequently, it is difficult to estimate the risk of venous thromboembolism for a typical patient, on an individual basis, and this difficulty leads to underuse of thromboprophylaxis, especially in intensive care unit patients. Thrombosis is a multifactorial disease and patients may present multiple risk factors simultaneously. The problem in quantifying risk factors is to combine these risk factors even when they are not detected in the same multivariate analysis. A model for predicting the risk of venous thromboembolism in hospitalized medical patients has yet to be developed and validated. Meanwhile, other approaches have been proposed to replace the ideal study utilizing a large prospective cohort of hospitalized medical patients. In this context, several scoring systems based on risk assessment models have been proposed, some including the use of computerized electronic prompts, to help physicians prescribe appropriate prophylaxis. This article reviews evidence on the risk of venous thromboembolism associated with different medical conditions and risk factors, and presents a tentative risk-assessment model for risk stratification in hospitalized medical patients.
目前,评估重症监护环境中静脉血栓栓塞风险和预防措施的数据十分有限。因此,很难根据个体情况评估典型患者发生静脉血栓栓塞的风险,这导致了血栓预防措施的使用不足,尤其是在重症监护病房患者中。血栓形成是一种多因素疾病,患者可能同时存在多种危险因素。在量化危险因素时,问题在于即使这些危险因素在同一多元分析中未被检测到,也要将其结合起来。尚未开发和验证用于预测住院内科患者静脉血栓栓塞风险的模型。与此同时,已经提出了其他方法来替代使用大型前瞻性住院内科患者队列的理想研究。在这种情况下,已经提出了一些基于风险评估模型的评分系统,其中一些包括使用计算机化电子提示来帮助医生开具适当的预防措施。本文回顾了与不同医疗条件和危险因素相关的静脉血栓栓塞风险的证据,并提出了一种用于住院内科患者风险分层的风险评估模型。