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Risk model of phlebitis in children with home intravenous indwelling needles based on decision tree |
GUO Hongyan, ZHAI Yujia, WANG Wenting, ZHU Juhong, CHEN Chen |
Affiliated Hospital of Jiangsu University, Zhenjiang 212000, China |
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Abstract Objective To investigate the risk factors of phlebitis in children with home intravenous catheter, and establish a decision tree model of phlebitis in children with home intravenous catheter. Methods A total of 350 children with home intravenous indent needles who were admitted to the hospital from January 2023 to October 2023 were selected as the study object. According to the occurrence of phlebitis, the children were divided into the phlebitis group and the non-phlebitis group. Logistic regression analysis was used to screen the risk factors for phlebitis in children with home intravenous indent needles, SPSS Modeler software was used to build a decision tree model for phlebitis in children with home intravenous indent needles, and the prediction efficiency of the decision tree model for phlebitis in children with home intravenous indent needles was analyzed. Results Among 350 children with intravenous indwelling needle at home, 62 cases developed phlebitis, and the incidence of phlebitis was 17.71% (62/350). Logistic regression analysis showed that the risk factors for phlebitis in children with home intravenous indentation were not successful puncture, input of stimulant drugs, indentation time >5d, daily infusion volume >250mL, family maintenance delay and saline tube sealing. The decision tree model of phlebitis in children with intravenous indenture at home selected six clinical characteristics as nodes of the model, including one successful puncture, family deferred maintenance, daily infusion volume, type of incoming drugs, indenture time and tube sealing fluid, among which one successful puncture was the most important predictor. The AUC of the decision tree model for phlebitis in children with home intravenous indent needles was 0.814(95%CI: 0.785~0.843), the sensitivity was 78.60%, and the specificity was 84.20%. The AUC of the Logistic regression model for phlebitis in children with home intravenous indent needles was 0.756(95%CI: 0.785~0.843) . Conclusion The risk factors for phlebitis in children with home intravenous indentation are not successful once, the infusion of stimulant drugs, indentation time >5 d, daily infusion volume >250 mL, delayed maintenance by family members, and saline tube sealing. The prediction model constructed by the above factors has certain reference value for predicting phlebitis in children with home intravenous indentation needles. In order to reduce the risk of phlebitis, targeted nursing interventions can be conducted for children with intravenous indwelling needles at home.
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Received: 14 November 2023
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