ABSTRACT
Objective To compare five public deep venous thrombosis(DVT)risk assessment models(RAM)in patients with acute cerebral hemorrhage,and to select one suitable assessment tool,with which medical staff are able to carry out effective individualized prevention accordingly in time.Methods In this retrospective study,256 in-patients with acute cerebral hemorrhage in the Neurology Department of the First Affliated Hospital of Wenzhou Medical University from January to December 2020 were randomly enrolled.The researchers applied five models and record the scores,including Padua RAM,Caprini RAM,Wells DVT RAM,Autar RAM and acute stroke DVT-RAM.The data were summarized and analyzed with SPSS 25.0 and R4.1.The predictive values of above RAMs are compared separately by TOPSIS(technique for order preference by similarity solution)to find out a suitable tool.Results Predictive value(Ci)ranking of five DVT-RAMs,Autar RAM,Padua RAM,Caprini RAM,acute stroke DVT-RAM and Wells DVT RAM,by TOPSIS were 0.681,0.636,0.385,0.363,0.315.Conclusion According to comprehensive comparison by TOPSIS,Autar RAM was the suitable assessment model to assess the DVT risk of patients with acute cerebral hemorrhage.It is suggested that medical staff apply the Autar risk assessment model to predict the risk of DVT in patients with acute cerebral hemorrhage.