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. 2024 Mar 4;32(3):207.
doi: 10.1007/s00520-024-08410-9.

Chemotherapy-related symptoms in children with leukemia: application of latent profile analysis and network analysis

Meixiang Wang  1   2 , Jia Fang  3 , Xiaoyan Hu  1 , Tingting Cai  4 , Fulei Wu  4 , Yan Lin  5
Affiliations

Chemotherapy-related symptoms in children with leukemia: application of latent profile analysis and network analysis

Meixiang Wang et al. Support Care Cancer. .

Abstract

Purpose: Children with leukemia may experience a range of chemotherapy-related symptoms. Identifying subgroups and their distinct characteristics of symptoms may improve symptom management. We aimed to identify subgroups and their distinct characteristics of chemotherapy-related symptoms in children with leukemia.

Methods: A cross-sectional survey was conducted among 500 children with leukemia, who completed questionnaires that assessed their demographic and clinical characteristics, as well as the Memorial Symptom Assessment Scale. Latent profile analysis was conducted to identify subgroups of symptoms. Additionally, multiple regression analysis and network analysis were utilized to reveal the characteristics of each subgroup.

Results: Four subgroups were identified: "Profile 1: low symptom burden subgroup" (26.2%), "Profile 2: moderate symptom burden subgroup in transitional period" (14.8%), "Profile 3: moderate psychological symptom burden subgroup" (35.6%), and "Profile 4: high symptom burden subgroup" (23.4%). Multiple logistic regression analysis indicated that lower primary caregiver's education level, lower family monthly income, self-paid medical expenses, induction remission period, and consolidation enhancement period were associated with more severe symptoms of subgroups. Network analysis further revealed that nausea was the core symptom in Profiles 1 and 2, while the core symptom in Profile 3 was "I don't look like myself." Additionally, worrying was the core symptom in Profile 4.

Conclusion: There exists heterogeneity in chemotherapy-related symptoms. Four subgroups and their corresponding characteristics of children with varying symptom severity were identified. Identifying these subgroups will facilitate personalized care, maximize intervention effectiveness, and alleviate symptom burden.

Keywords: Children; Latent profile analysis; Leukemia; Network analysis; Symptom.

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