Construction and validation of a risk prediction model for bleeding at the puncture site of peripheral indwelling needles in neo-nates
YU Xiaoman
WU Qian
ZHAO Yang
CHEN Lei
BI Wen
YU Shanshan
Abstract：Objective To establish a risk prediction model for bleeding at the puncture site of peripheral indwelling needles in neo-nates and verify its prediction effect.Methods From March 2022 to December 2022,168 newborns in the neonatal department of a grade A class three hospital in Qingdao were selected as the research object,and the newborn were divided into two groups according to the presence or absence of bleeding at the puncture point.Logistic regression analysis was used to establish a risk prediction model.Hosmer-Lemeshow test and receiver operating characteristic curve were used to evaluate the goodness of fit and prediction effect of the model.Another 55 newborns were selected for external verification of the model.Results Among the 168 newborns in the modeling group,73 had bleeding at the puncture point of the indwelling needle,with an incidence of 43.45％.The puncture site,whether the needle seat and the blood vessel ware at the same level,whether there was secondary fixation,whether the transparent dressing was loose,whether the hyperosmotic drug was infused,and wheth-er the patient was in a sedated state were the influence factors of bleeding at the puncture site of the neonatal peripheral indwelling needle(P＜0.05).The area under ROC curve(AUC)was 0.779,the sensitivity was 0.740 and the specificity was 0.705.Conclusion The puncture site at the joint,loosening of transparent dressing and infusion of hyperosmotic drugs are independent risk factors for bleeding at the puncture site of the neonatal peripheral indwelling needle.The needle seat and the blood vessel being at the same level,secondary fixation,and the neo-nate being in a sedated state are protective factors.The risk prediction model for bleeding at the puncture site of the neonatal peripheral in-dwelling needle constructed based on this has good prediction efficiency,and can provide decision-making basis for clinical medical staff to carry out predictive care.
Keywords：neonatalindwelling needlebleedingnursinginfluencing factorprediction model
Publication Date：2024-09-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 785-789 )