Identification of symptom network and core symptoms in first stroke patients
HUO Xiaoran
FENG Yingpu
ZHANG Jingshuang
ZHANG Guifang
LI Xiang
ZHANG Shuang
ZHANG Chi
HE Yingkun
Abstract：Objective:To explore the core symptoms and nursing strategies in the symptom network in first stroke patients,so as to provide a basis for precise symptom intervention and nursing.Methods:A total of 255 patients with first stroke who were hospitalized in the neurology department of a tertiary grade A general hospital in Zhengzhou from October 2023 to June 2024 were conveniently selected as the investigation subjects.The Stroke Symptom Experience Scale was used for the investigation,and R software was applied for symptom network analysis,including network relationship analysis,core symptoms analysis,and accuracy and stability analysis of the network structure.Results:Symptom network analysis showed that the symptom"unable to do what one wants due to illness or hospitalization"has the highest incidence,and"decreased self-care ability"is the most severe symptom.A total of three symptom clusters,namely physical dysfunction,cognitive and speech dysfunction,and psychological dysfunction were extracted.Symptoms"limited limb movement A1"(rs=1.440),"decreased attention B2"(rs=1.175),and"lack of confidence in recovery C3"(rs=1.185)were the more intense symptoms among the three symptom clusters.After inspection,the accuracy and stability of the network were good,and the network model was relatively reliable.Conclusions:This study utilized the symptom network analysis method to explore the symptom network of patients with first stroke.For the symptoms with the strongest relationship and high predictability in the network,it suggested that nursing staff should prevtively cut off the strong connections among these symptoms during the intervention process to improve the intervention efficiency."Limited limb movement"is the most core symptom in the network,suggesting that in future research,this symptom should be targeted for intervention,and scientific intervention measures should be formulated to promote the improvement of patients'health conditions.
Keywords：first strokesymptom network analysiscore symptoms
Publication Date：2026-01-15
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：6( 1-6 )