Wang Chunling, Cui Fuping, Li Junqiu, Yuan Xiangzhi, Wang Jia, Liu Liyun, Wang Mingxiao
Department of Geriatric Medicine, Beijing Meitan General Hospital, NO.29 XiBaHe South Road, Chaoyang District, Beijing 100028, P.R. China.
Department of Geriatric Medicine, Beijing Meitan General Hospital, Beijing 100028, P.R. China.
Open Life Sci. 2018 Apr 10;13:82-89. doi: 10.1515/biol-2018-0012. eCollection 2018 Jan.
Venous thromboembolism (VTE) refers to the formation of a blood clot inside veins and has a high risk of inducing medical accidents. An effective risk assessment model will help screen high risk populations and prevent the occurrence of VTE. In this study, 287 VTE cases were collected and analyzed for risk factors in a Chinese population. The risks of VTE were evaluated using the Caprini and Padua models. Our results indicated that the Caprini model was more effective in evaluating VTE risk among hospitalized patients than the Padua model. As well, the Caprini model was more relevant in VTE risk assessment among surgery patients compared with internal medicine patients, while the Padua model showed no significant differences. In our studies, the most frequent risk factors included obesity, medical patients currently at bed rest, and severe lung disease. Our studies provide clinical support on selecting the suitable risk assessment model of VTE in the Chinese population.
静脉血栓栓塞症(VTE)是指静脉内形成血凝块,具有引发医疗事故的高风险。有效的风险评估模型将有助于筛查高危人群并预防VTE的发生。在本研究中,收集了287例VTE病例并分析了中国人群中的风险因素。使用Caprini模型和Padua模型评估VTE风险。我们的结果表明,Caprini模型在评估住院患者的VTE风险方面比Padua模型更有效。此外,与内科患者相比,Caprini模型在手术患者的VTE风险评估中更具相关性,而Padua模型则无显著差异。在我们的研究中,最常见的风险因素包括肥胖、目前卧床的内科患者以及严重肺部疾病。我们的研究为在中国人群中选择合适的VTE风险评估模型提供了临床支持。