Logistic regression analysis of Risk factors for post-cesarean wound disruption
Objective To identify risk factors for post-cesarean wound disruption, and to provide the reference for prevention and treatment of post-cesarean wound disruption. Methods This was a randomized prospective trial. From August 1, 2011, to February 1, 2013, 725 women who underwent cesarean delivery in beijng fengtai hospital were assigned. Analysis was conducted about Risk factors for post-cesarean wound disruption. Student t, χ2 and logistic regression were used for statistical analysis. Results Approximately 5.52% of women who have a cesarean delivery in our hospital will have a wound disruption. In unadjusted analysis, wound disruption was significantly higher in patients who were subcutaneous tissue >3cm in thickness, diabetes mellitus, anemia. Adjusted analysis subcutaneous tissue >3cm in thickness, diabetes mellitus, anemia were significant risk factors for wound disruption. Conclusions Subcutaneous tissue >3cm in thickness, diabetes mellitus, anemia were significant risk factors for wound disruption, assessing and controlling these risk factors can reduce the incidence of post-cesarean wound disruption.
NETL
NSTL
万方数据
维普
