To construct a risk prediction model and nursing strategies for hypotension during arginine challenge test in children with short stature based on decision tree algorithm
CHEN Lulu
YAO Haixia
YE Juan
Abstract：Objective:To analyze risk factors for combined hypotension during the arginine stimulation test(AST)in children with short stature,build a decision tree model,and implement targeted nursing strategies.Methods:A total of 898 children with short stature admitted to the hospital from November 2020 to December 2024 were included in the study.All children underwent AST and were divided into a hypotension group(n=155)and a non-hypotension group(n=743)based on whether hypotension occurred during the test.Clinical data from both groups were collected.Univariate and multivariate logistic regression analysis were performed to identify risk factors for hypotension.A decision tree risk prediction model was created using SPSS Modeler software,and its predictive performance was evaluated.Results:Multivariate logistic regression revealed that malnutrition,insufficient rest,inadequate pre-test education,and body position changes during the first full meal were risk factors for hypotension during AST in children with short stature,while high-quality nursing was a protective factor(P<0.05).The decision tree model included five variables,with six levels and 15 nodes,with the first meal being the most influential factor.The area under the curve(AUC)for the decision tree was 0.681,compared to 0.650 for the logistic regression model.The Delong test showed Z=2.179,P=0.029 3.Conclusion:Malnutrition,inadequate rest the day before the test,insufficient pre-test education,body position changes during the procedure,and having a full meal after the first meal are risk factors for hypotension during AST in children with short stature.High-quality nursing serves as a protective factor.The decision tree model based on these risk factors demonstrates strong predictive power and can provide a theoretical basis for reducing hypotension during AST in children with short stature and guiding targeted nursing interventions.
Keywords：decision tree algorithmchildren with short staturearginine stimulation testhypotensionrisk prediction modelnursing strategies
Publication Date：2025-12-15
Online Publishing Date：2025-12-22(First online date of this platform, not the publication date of the document)
Pages：5( 4427-4431 )