Related Experiment Video
Updated: Sep 4, 2026
Computed Tomography (CT) Guided Implantation of a Totally Implantable Venous Access Port (TIVAP) through Subclavian Vein
Published on: January 13, 2026
[Construction and Validation of a Risk Prediction Model for Catheter Blockage in Patients With Implantable Venous
Shuang Zhang1,2, Suli Han1, Ningjun Zhao1
1（ 221000）School of Nursing, Xuzhou Medical University, Xuzhou 221000, China.
Objective:
To explore the influencing factors of catheter blockage in patients with implantable venous access ports (IVAP) and to construct a risk prediction model.
Methods:
A total of 563 patients who underwent IVAP implantation from January 2022 to March 2024 were retrospectively enrolled and randomly divided into a modeling group (n = 394) and a validation group (n = 169) at a 7∶3 ratio. Univariate analysis and multivariate logistic regression (bidirectional stepwise regression) were used to identify independent influencing factors for catheter blockage. A nomogram prediction model was then constructed and evaluated in terms of discrimination, calibration, and clinical utility.
Results:
The incidence of catheter blockage was 12.79% (72/563). Multivariate Logistic regression showed that body mass index (BMI) ≥ 24 kg/m2 (OR = 3.535, 95%CI: 1.500-8.329), diabetes mellitus (OR = 3.723, 95%CI: 1.540-8.999), malignancy (OR = 3.161, 95%CI: 1.327-7.526), history of thrombosis (OR = 3.324, 95%CI: 1.425-7.755), elevated D-dimer (OR = 547.088, 95%CI: 46.093-649.462), and catheter retention time ≥ 6 months (OR = 2.633, 95%CI: 1.060-6.543) were independent risk factors, while regular maintenance (OR = 0.200, 95%CI: 0.080-0.499) was an independent protective factor (all P<0.05). The area under the receiver operating characteristic curve (AUC) of the nomogram model was 0.91 (95%CI: 0.87-0.96) in the modeling group and 0.94 (95%CI: 0.88-1.00) in the validation group. The Hosmer-Lemeshow test showed good calibration for both the modeling group (χ2 = 10.782, P = 0.214) and the validation group (χ2 = 3.744, P = 0.879). Decision curve analysis indicated a positive net clinical benefit.
Conclusion:
The IVAP catheter blockage risk prediction model constructed in this study demonstrates good predictive performance and clinical utility. It can assist healthcare providers in early identification of high-risk patients and implementation of individualized preventive interventions, thereby reducing the incidence of catheter blockage.