Department of Emergency, The First Affiliated Hospital of Soochow University, Suzhou, China.
Nursing College, Soochow University, Suzhou, China.
J Vasc Access. 2022 Nov;23(6):911-921. doi: 10.1177/11297298211015035. Epub 2021 May 13.
The objective of this study was to determine the independent risk factors associated with peripheral venous catheter (PVC) failure and develop a model that can predict PVC failure.
This prospective, multicenter cohort study was carried out in nine tertiary hospitals in Suzhou, China between December 2017 and February 2018. Adult patients undergoing first-time insertion of a PVC were observed from catheter insertion to removal. Logistic regression was used to identify the independent risk factors predicting PVC failure.
This study included 5345 patients. The PVC failure rate was 54.05% ( = 2889/5345), and the most common causes of PVC failure were phlebitis (16.3%) and infiltration/extravasation (13.8%). On multivariate analysis, age (45-59 years: OR, 1.295; 95% CI, 1.074-1.561; 60-74 years: OR, 1.375; 95% CI, 1.143-1.654; ⩾75 years: OR, 1.676; 95% CI, 1.355-2.073); department (surgery OR, 1.229; 95% CI, 1.062-1.423; emergency internal/surgical ward OR, 1.451; 95% CI, 1.082-1.945); history of venous puncture in the last week (OR, 1.298, 95% CI 1.130-1.491); insertion site, number of puncture attempts, irritant fluid infusion, daily infusion time, daily infusion volume, and type of sealing liquid were independent predictors of PVC failure. Receiver operating characteristic curve analysis indicated that a logistic regression model constructed using these variables had moderate accuracy for the prediction of PVC failure (area under the curve, 0.781). The Hosmer-Lemeshow goodness of fit test demonstrated that the model was correctly specified (χ = 2.514, = 0.961).
This study should raise awareness among healthcare providers of the risk factors for PVC failure. We recommend that healthcare providers use vascular access device selection tools to select a clinically appropriate device and for the timely detection of complications, and have a list of drugs classified as irritants or vesicants so they can monitor patients receiving fluid infusions containing these drugs more frequently.
本研究旨在确定与外周静脉导管(PVC)失败相关的独立危险因素,并建立一个可预测 PVC 失败的模型。
本前瞻性、多中心队列研究于 2017 年 12 月至 2018 年 2 月在中国苏州的 9 家三级医院进行,对首次插入 PVC 的成年患者从导管插入到移除进行观察。使用 logistic 回归来确定预测 PVC 失败的独立危险因素。
本研究共纳入 5345 例患者,PVC 失败率为 54.05%(2889/5345),最常见的 PVC 失败原因是静脉炎(16.3%)和渗漏/外渗(13.8%)。多因素分析显示,年龄(45-59 岁:OR,1.295;95%CI,1.074-1.561;60-74 岁:OR,1.375;95%CI,1.143-1.654;⩾75 岁:OR,1.676;95%CI,1.355-2.073);科室(外科:OR,1.229;95%CI,1.062-1.423;急诊内科/外科病房:OR,1.451;95%CI,1.082-1.945);上周静脉穿刺史(OR,1.298,95%CI 1.130-1.491);置管部位、穿刺次数、刺激性液体输注、每日输注时间、每日输注量和封管液类型是 PVC 失败的独立预测因素。受试者工作特征曲线分析表明,使用这些变量构建的逻辑回归模型对 PVC 失败的预测具有中等准确性(曲线下面积,0.781)。Hosmer-Lemeshow 拟合优度检验表明,该模型的指定是正确的(χ²=2.514, =0.961)。
本研究应引起医护人员对 PVC 失败危险因素的重视。我们建议医护人员使用血管通路装置选择工具来选择合适的临床装置,并及时发现并发症,同时列出被归类为刺激性或腐蚀性的药物清单,以便更频繁地监测接受含有这些药物的液体输注的患者。