Objective To construct and validate a predictive model for implantable venous access port (IVAP) induced catheter-related bloodstream infection (CRBSI) in breast cancer patients. Methods Clinical data of 609 and 261 breast cancer inpatients were collected as a modeling group and a validation group,and the risk factors of CRBSI were obtained by univariate and multivariate analysis to construct a predictive model. Results A total of 83(13.63%) patients in the modeling group suffered from CRBSI, and the pathogenic infecting organisms were predominantly gram-negative bacteria,which accounted for 51.75%(59/114). The final risk predictive model consisted of six factors：history of diabetes, the average use time of butterfly needle in each chemotherapy cycle, IVAP retention time, treatment regime, parenteral nutrition support and albumin.The prediction curve and the observation curve basically matched,and the area under the ROC curve was 0.809. Conclusion History of diabetes, the long retention of butterfly needle and IVAP, palliative care, parenteral nutrition support and albumin ＜30 g/L are independent risk factors of CRBSI in breast cancer patients with IVAP, the predictive model has good accuracy and discrimination, and it displays good predictive performance.