Analysis of influencing factors of orthopedic surgical site infection based on logistic regression model
Objective To summarize the current situation of orthopedic surgical site infection and to explore the influencing factors of orthopedic surgical site infection.Methods A total of 41 cases of orthopedic surgical site infection in Yancheng Third People's Hospital,Jiangsu Province from January 2022 to December 2023 were collected as the infection group,according to the ratio of 1∶1,41 cases with similar age(±10 years old)and the same gender without surgical site infection in the same department from January 2022 to December 2023 were randomly selected as the non-infected group.The distribution of pathogenic bacteria in orthopedic surgical site infection was analyzed and the influencing factors of orthopedic surgical site infection were analyzed based on the binary logistic regression model.Results A total of 41 patients with surgical site infection were included in this study,of which 10 patients(24.39％)developed surgical site infection from one to three days after surgery,12 patients(29.27％)developed surgical site infection from four to six days after surgery,and 5 patients(12.20％)developed surgical site infection from seven to nine days after surgery,10 patients(24.39％)developed surgical site infection from ten to 30 days after surgery,and 4 patients(9.76％)developed surgical site infection from 31 to 90 days after surgery.A total of 40 strains of pathogenic bacteria were detected in the infection group,mainly Gram positive coccus(31 strains,77.50％),the most common Staphylococcus aureus(19 strains,47.50％),followed by Coagulase-negative staphylococcus(seven strains,17.50％).There were significant differences in diabetes history,body mass index(BMI),preoperative fibrinogen,operation duration,and surgical drainage between the two groups(P＜0.05).Logistic regression analysis showed that BMI(OR=1.231,95％CI:1.049-1.445,P=0.011)was an independent risk factor for orthopedic surgical site infection.BMI was an independent risk factor for surgical site infection with a cutoff of 25.37 kg/m2.Conclusion Among orthopedic surgery patients,obese patients are more prone to surgical site infection.It is suggested to further strengthen perioperative management of obese patients to reduce the incidence of surgical site infection.
Orthopedic surgerySurgical site infectionRisk factorsLogistic regression model
万方数据
维普
