摘要
目的 :分析肿瘤患者手臂输液港并发症的危险因素,为临床制定预防性护理措施提供科学依据。方法 :回顾性分析2020年1月至2022年12月在西安市某三级甲等医院肿瘤内科植入手臂输液港的259例患者的一般资料与手臂输液港维护信息,根据带港期间是否发生并发症进行影响因素分析。结果 :259例肿瘤患者手臂输液港并发症发生率为33.6%,以感染、导管堵塞、导管相关性血栓、导管移位为主。多因素Logistic回归分析结果显示,年龄≥60岁、BMI≥24.0 kg/m2、合并其他慢性病、带港时间> 12个月是患者发生手臂输液港并发症的危险因素(P<0.05)。结论 :肿瘤患者手臂输液港的并发症发生风险与年龄、BMI、合并其他慢性病、带港时间等因素有关,有针对性地进行护理可以有效降低带港患者并发症的发生率,提高患者的生活质量。
Objective:To explore the risk factors for arm infusion port complications in tumor patients during the port carrying,and provide the scientific basis for the clinical formulation of preventive nursing measures.Methods:We retrospectively analyzed the general data and arm port maintenance information data of 259 patients carrying arm ports,and single-factor and multi-factor analysis were used to analyze the risk factors for complications during arm port carrying in oncology patients according to whether complications occurred during the port carrying period,and proposed nursing countermeasures.Results:The complication rate of arm infusion port was 33.6%among 259 patients with port-led tumors,mainly infection,catheter blockage,catheter-related thrombosis,and catheter displacement.The results of multivariate logistic regression analysis showed that age≥60 years,BMI≥24.0 kg/m2,other chronic diseases,and time with port>12 months were the risk factors for arm infusion port complications in tumor patients with port(P<0.05).Conclusion:The risk of arm infusion port complications in tumor patients with port is related to factors such as age,BMI,other chronic diseases,and time of port delivery,and targeted nursing measures can effectively reduce the incidence of complications in patients with port and improve the quality of life of patients.
作者
肖莹晶
赵征
张彧
画妍
XIAO Yingjing;ZHAO Zheng;ZHANG Yu;HUA Yan(School of Nursing,Shaanxi University of Chinese Medicine,Xianyang,Shaanxi province,712046,China)
出处
《中国护理管理》
CSCD
北大核心
2024年第1期35-39,共5页
Chinese Nursing Management
基金
陕西省自然科学基础研究计划-面上项目(2023-JC-YB-636)。
关键词
手臂输液港
肿瘤
并发症
危险因素
回顾性分析
护理
arm infusion port
tumor
complication
risk factor
retrospective analysis
nursing
