Abstract: 【Abstract】Objective To explore the risk factors and to establish a predictive model for catheter-related bloodstream infection in hemodialysis patients with long-term intravenous catheters. Methods We retrospectively analyzed the clinical data of end-stage renal disease patients undergoing hemodialysis using long-term indwelling intravenous catheters. Logistic regression analysis was performed to detect the risk factors for catheter-related bloodstream infection in the training group. R-studio was used to create the predictive model, and performance of the model was examined in the validation group. Results Smoking history, anemia and diabetes were the risk factors for catheter-related bloodstream infections. The C-indices of the training group and validation group from the established predictive model were 0.761 and 0.714, respectively. Conclusion The predictive model we established can effectively find out the high-risk group of catheter-related bloodstream infection in hemodialysis patients using long-term tunnel-cuffed catheters.

Key words: Hemodialysis, Tunnel- cuffed catheter, Catheter- related bloodstream infection, Risk factors, Predictive model