Application of a Joint Medical-Nursing Assessment in the Construction of a Prediction Model for Port-Related Infections

ZHANG Yang; GAO Jie; LIU Weiwei; WU Qiong; LI Hongchao; DONG Qian

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Journal of Hunan Normal University(Medical Science) ›› 2025, Vol. 22 ›› Issue (6) : 223-228.

Nursing Science

Application of a Joint Medical-Nursing Assessment in the Construction of a Prediction Model for Port-Related Infections

ZHANG Yang, GAO Jie, LIU Weiwei, WU Qiong, LI Hongchao, DONG Qian

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Abstract

Objective To explore the application effect of joint medical-nursing assessment in the construction of a prediction model for port-related infections. Methods A total of 550 patients with port applications admitted to a tertiary hospital from July 2023 to December 2024 were selected as the subjects of this study, among whom 50 patients who developed infections were designated as the infection group, and 500 patients without infections were designated as the non-infection group. The reasons for infections in patients with port applications were analyzed through joint medical-nursing assessment. A prediction model was established using univariate analysis and logistic regression analysis, and a nomogram was used for visual expression. Results The main causes of infection in the infusion port were parenteral nutrition, gynecological system cancer, hematological system cancer, diabetes, and intubation time>110 days (P<0.05). The area under the ROC curve of the prediction model was 0.851, corresponding to a sensitivity of 0.802 and a specificity of 0.811. The average absolute error between the actual and predicted values of the prediction model was 0.011, indicating a high degree of agreement between the calibration curve and the ideal curve; the Hosmer-Lemeshow goodness-of-fit test result was χ²=2.873 (P=0.931). Conclusion The prediction model constructed through joint medical-nursing assessment has good predictive performance and can provide important reference for clinical staff to identify high-risk patients for port-related infections at an early stage.

Key words

medical-nursing collaborative comprehensive assessment / port-a-cath (implanted port) / infection / predictive model

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ZHANG Yang, GAO Jie, LIU Weiwei, WU Qiong, LI Hongchao, DONG Qian. Application of a Joint Medical-Nursing Assessment in the Construction of a Prediction Model for Port-Related Infections[J]. Journal of Hunan Normal University(Medical Science). 2025, 22(6): 223-228

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