Predictive value of three kinds of thrombosis risk assessment scale for lower extremity deep vein thrombosis after hip fracture in elderly patients / 中国骨伤

ABSTRACT

OBJECTIVE@#To explore predictive value of Caprini score, Wells score and Autar score for lower extremity deep vein thrombosis (DVT) after hip fracture in elderly patients.@*METHODS@#A total of 310 elderly patients with hip fracture were selected from January 2018 to September 2022. According to the lower extremity color ultrasound examination results, 155 patients with DVT were divided into thrombosis group, included 42 males and 113 females, aged from 60 to 101 years old with an average of (80.58±8.84) years old; and 155 patients without DVT were divided into control group, included 58 males and 97 females, aged from 60 to 94 years old with an average of (79.01±8.99) years old. Caprini score, Wells score and Autar score immediately after admission were collected and compared between two groups. Receiver operating characteristic (ROC) curve was used to evaluate predictive value of three thrombus risk assessment tables for DVT after hip fracture in elderly patients.@*RESULTS@#Caprini score, Wells score and Autar score in thrombus group were significantly higher than those in control group (P<0.001). ROC curve analysis results showed that the best cut-off value of Caprini score was 8.5 points, the sensitivity was 46.5%, the specificity was 99.4%, and area under the curve(AUC) was 0.763. The best cut-off value of Wells score was 1.5, the sensitivity was 100%, the specificity was 99.4%, and AUC was 0.998. The best cut-off value of Autar score was 10.5 points, the sensitivity was 58.1%, the specificity was 84.5%, and AUC was 0.717.@*CONCLUSION@#Caprini scale, Wells scale and Autar scale all have good predictive efficacy for the risk of DVT in elderly patients with hip fracture, and could provide an important reference for clinical guidance for prevention, management and treatment of DVT after hip fracture in elderly patients, among which Wells scale has a higher predictive value.