Abstract: OBJECTIVE To investigate multiple drug-resistant organisms (MDRO) in catheter-associated urinary tract infections after spinal cord injury surgery and and its influencing factors. METHODS The clinical data of 85 patients with long-term indwelling catheter urinary tract infection in spinal cord injury hospitalized in the rehabilitation center of our hospital from Jan. 2019 to Aug. 2020 were retrospectively analyzed. Multivariate Logistic regression model was used to analyze the factors influencing MDRO of catheter-related urinary tract infection after spinal cord injury surgery. RESULTS A total of 157 strains of pathogenic bacteria were detected in 85 patients, of which 83 strains of Gram-negative bacteria accounted for 52.87%, 45 strains of Gram-positive bacteria accounted for 28.66% and 29 strains of fungi accounted for 18.47%, mainly Escherichia coli, Enterococcus faecium and Candida albicans. A total of 43 strains of multidrug resistant bacteria were detected, including ultra-broad spectrum β-lactamase-producing Enterobacteriaceae (ESBLs-ECO), vancomycin-resistant Enterococcus (VRE), methicillin-resistant Staphylococcus aureus (MRSA), carbapenem-resistant Enterobacteriaceae (CRE), multi-drug resistant Pseudomonas aeruginosa (MRPA), carbapenem-resistant Acinetobacter baumannii (CRAB) and ultra-broad spectrum β -Lactamase Klebsiella pneumoniae (ESBLs-KPN). Multivariate Logistic regression analysis showed that the time of indwelling catheter, number of catheter insertions during hospitalization, history of antibiotic use and length of hospital stay were the influencing factors of MDRO for catheter-related urinary tract infection in patients with spinal cord injury (P<0.05). CONCLUSION There are many drug-resistant bacteria in urinary tract infections in patients with long-term indwelling catheter for spinal cord injury. Reasonable and effective prevention and treatment measures should be formulated to minimize the incidence of infection according to the characteristics of pathogenic bacteria and infection-related influencing factors.