Latent profile analysis and network analysis of symptom among acute stroke patients

ZHU Fengyi; ZHANG Hui; LIU Annuo; XU Jing; GE Yao; LIU Meng

doi:10.16766/j.cnki.issn.1674-4152.004508

Volume 24 Issue 5

May 2026

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Article Navigation > Chinese Journal of General Practice > 2026 > 24(5): 858-862

ZHU Fengyi, ZHANG Hui, LIU Annuo, XU Jing, GE Yao, LIU Meng. Latent profile analysis and network analysis of symptom among acute stroke patients[J]. Chinese Journal of General Practice, 2026, 24(5): 858-862. doi: 10.16766/j.cnki.issn.1674-4152.004508

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ZHU Fengyi, ZHANG Hui, LIU Annuo, XU Jing, GE Yao, LIU Meng. Latent profile analysis and network analysis of symptom among acute stroke patients[J]. Chinese Journal of General Practice, 2026, 24(5): 858-862. doi: 10.16766/j.cnki.issn.1674-4152.004508

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Latent profile analysis and network analysis of symptom among acute stroke patients

doi: 10.16766/j.cnki.issn.1674-4152.004508

ZHU Fengyi^{1, 2, 3}
, ZHANG Hui^{1, 2, 3, 4
,
,}
, LIU Annuo^{1, 4}
, XU Jing¹
, GE Yao¹
, LIU Meng¹

1.
School of Nursing, Anhui Medical University, Hefei, Anhui 230601, China

Funds:

2024zhyx-hl-B30

Hlqm12025094

Received Date: 2025-08-04
Available Online: 2026-10-23

Abstract

Abstract

Objective Aiming at the clinical feature of population heterogeneity in symptoms among patients with acute stroke, thereby exploring the latent profile categories in acute stroke patients, constructing network characteristics, and identifying core symptoms in each group. Methods From July 2024 to March 2025, 351 acute stroke patients hospitalized in the Department of Neurology of the First Affiliated Hospital of Anhui Medical University were selected by convenience sampling method. A general information questionnaire and the stroke symptom experience scale were used for data collection. Mplus 8.3 software was used to construct the latent profile model, and symptom networks were built and centrality indices were analyzed using R programming language. Results A total of 351 patients with complete data were enrolled, including 233 males and 118 females, aged 18-92 years [(66.07±12.48) years]. Symptoms in acute stroke patients could be categorized into four latent categories: low symptom burden group [85 cases (24.2%)], moderate symptom burden-low cognitive impairment group [81 cases (23.1%)], moderate symptom burden-high cognitive impairment group [83 cases (23.6%)], and high symptom burden group [102 cases (29.1%)]. Based on symptom network analysis, the core symptom in the overall sample was limitation of limb movement. The core symptom in the low-symptom burden was lack of interest in surrounding activities. The core symptom in the medium-symptom burden-low cognitive impairment group was the inability to maintain body balance. The core symptom in the medium-symptom burden-high cognitive impairment group and high-symptom burden group was limitation of limb movement. Conclusion Group heterogeneity is evident in symptom distress among acute stroke patients, which can be categorized into 4 categories. Healthcare professionals should develop targeted clinical symptom management strategies based on the core symptoms in different symptom categories.
- Acute stroke,
- Latent profile analysis,
- Network analysis,
- Symptom management

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References(28)

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Latent profile analysis and network analysis of symptom among acute stroke patients

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