Logistic Regression Analysis of Risk Factors of Chest Injury Patients with Traumatic Fracture

WANG Qian; CHEN Chuiji

doi:10.13730/j.issn.2097-2148.2024.09.009

Abstract：Objective To explore the risk factors of chest injury of patients with traumatic fracture.Methods The clinical data of 3656 patients with fracture admitted to author's hospital from January 2019 to December 2021 were retro-spectively analyzed,the patients were divided into chest injury group(n=623)and non-chest injury group(n=3033)ac-cording to whether they were complicated with chest injury or not.The differences of age,sex,body mass index(BMI),fracture location,cause of injury and other factors of patients with or without chest injury were compared,and the inde-pendent influencing factors of fracture patients with chest injury were analyzed by multivariate Logistics regression.Results There were no significant differences in age,BMI and fracture season between patients with or without chest in-jury(P＞0.05),while there were significant differences in gender,marital status,education level,occupation,residence,fracture type,fracture site,fracture cause,fracture location and underlying diseases(all P＜0.05).Multivariate Logistic regression analysis showed that the education level below primary school,farmer,shoulder fracture,car accident injury and falling injury were independent risk factors for chest injury in patients with traumatic fracture(P＜0.05);while the patients with junior high school,technical secondary school and college or above education level,workers,technicians and office staff,upper limb or lower limb fracture site and other fracture causes were less likely to have chest injury(P＜0.05).Conclusion Patients with shoulder fractures,traffic accident injuries and fall injuries are more likely to have chest injuries,while the higher education level and the lighter manual workers are less likely to be complicated with chest inju-ries.