Multi-factor binary Logistic regression for early deep venous thrombosis following total hip replacement / 中国组织工程研究

ABSTRACT

BACKGROUND: With further understanding of deep venous thrombosis(DVT)following total hip replacement,reduction and prevention of DVT has become hot topic in clinical studies.The reports of DVT formation factors remain controversial due to small samples,little statistical significance,confusion of basic experimental and clinical results and lacks of science.OBJECTIVE: To explore the causes and factors for the early DVT following total hip replacement and summarize measures to prevent and treat early DVT to reduce incidence of complications.METHODS: A total of 1780 cases of primary total hip replacement operation were analyzed retrospectively.The statistical indexes included sex,age,body mass,other system disease,previous hip joint operation,anesthesia,operative time,prosthetic fixation,blood transfusion,postoperative functional exercise,antithrombotics,and complication.Standardized database was built and analyzed by SPSS(version 13).Regression analysis was performed using Binary Logistic Regression.RESULTS AND CONCLUSION: Of 1780 cases,136 had DVT.Age,other system diseases,anesthesia,prosthetic fixation,blood transfusion,postoperative functional exercise and antithrombotics were correlated with early DVT(P < 0.05).Old age,hypertension or diabetes,general anesthesia,fixation of bone cement,whole blood transfusion were the risk factors for early DVT following total hip replacement,while postoperative functional exercise and antithrombotics were the protective factors for DVT.The incidence rate of early complications can be reduced by the methods such as dealing with perioperative treatment carefully,effectively controlling the chronic diseases,efficient evaluation before surgery,precise manipulation,and the postoperative prophylactic treatment and nursing.