| 徐思思.乳腺癌患者植入式静脉输液港治疗的相关感染并发症及危险因素分析[J].上海护理,2024,24(6): |
| 乳腺癌患者植入式静脉输液港治疗的相关感染并发症及危险因素分析 |
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| DOI： |
| 中文关键词: 乳腺癌 植入式静脉输液港 感染 并发症 早期识别 |
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| 中文摘要: |
| 目的 分析影响乳腺癌患者植入式静脉输液港（IVAP）相关感染并发症的相关危险因素，并构建风险预测模型。方法 采用便利抽样方法，选取2020年6月至2023年6月南昌市人民医院收治的使用IVAP治疗的200例乳腺癌患者作为研究对象。根据是否出现IVAP相关感染并发症将其分为感染组及非感染组。回顾性分析两组患者的临床资料，使用单因素分析与二元logistic回归分析乳腺癌患者IVAP相关感染并发症发生风险影响因素，并根据独立影响因素建立乳腺癌患者IVAP相关感染并发症发生风险预测模型，采用受试者工作特征性曲线（ROC）对模型进行评估。结果 共有27例乳腺癌患者发生IVAP相关感染并发症，发生率为13.50%。单因素及多因素分析结果显示：治疗方案、糖尿病史、肠外营养支持为乳腺癌患者发生IVAP相关感染并发症的独立危险因素（P＜0.05）。构建的风险预警模型为Logit（P）=2.001×治疗方案+1.969×糖尿病史+1.495×肠外营养水平-3.842。通过ROC曲线分析风险预测模型的区分度，构建的风险预测模型的ROC曲线下面积（AUC）为0.832（95%CI为0.751～0.913，P＜0.001），灵敏度为77.8%，特异度为74.0%。结论 乳腺癌患者IVAP相关感染并发症发生风险影响因素较多，本研究构建的风险预测模型有较好的预测性能，有一定的临床应用价值。 |
| 英文摘要: |
| Objective To analyze the risk factors of infectious complications in patients with breast cancer treated with implantable venous access port. Methods Retrospective analysis of 200 cases of breast cancer treated by implantable intravenous infusion port in our hospital from June 2020 to June 2023. According to whether there were infectious complications, they were divided into infection group and non-infection group, and the clinical data before and after treatment were collected. Univariate analysis and binary Logistic regression were used to analyze the related factors affecting the infection complications in breast cancer patients treated with implantable intravenous infusion port, and to establish a risk warning model. Results In this study, there were 27 cases (13.50%) in the infected group and 158 cases (86.50%) in the non-infected group. Multivariate analysis showed that treatment regimen (OR=7.425,95%CI=2.394-23.029,P=0.001), diabetes history (OR=7.320,95%CI=1.924-27.848,P=0.003), parenteral nutrition support (OR=4.522,95%CI=1.521-13.446,P=0.007) was an independent risk factor for infective complications in breast cancer patients treated with implantable intravenous infusion port (P < 0.05). The risk warning model was established, Logit(p)=2.001× treatment plan +1.969× diabetes history +1.495× parenteral nutrition level -3.842. The differentiation of the early warning model was analyzed by ROC curve, and the area under ROC curve (AUC) of the constructed early warning model was 0.832 (95%CI: 0.751～0.913) with the Youden index as the best critical value, P < 0.001. Conclusion It can be seen that the occurrence of infection complications in breast cancer patients treated with implantable intravenous infusion port is related to the above independent risk factors. The risk prediction model established on this basis for the occurrence of associated infection complications in breast cancer patients treated with implantable intravenous infusion port has a good early identification effect on high-risk patients, and can be used as a reference in clinical practice. Improve the nursing plan according to the individual situation of patients in time to reduce the probability of infection complications. |
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