Symptom networks in glioma patients: understanding the multidimensionality of symptoms and quality of life.

Autor: Röttgering JG; Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands. j.rottgering@amsterdamumc.nl.; Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Psychology, Boelelaan 1117, Amsterdam, The Netherlands. j.rottgering@amsterdamumc.nl., Varkevisser TMCK; Amsterdam UMC Location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Boelelaan 1117, Amsterdam, The Netherlands., Gorter M; Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.; Amsterdam UMC Location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Boelelaan 1117, Amsterdam, The Netherlands., Belgers V; Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.; Amsterdam UMC Location Vrije Universiteit Amsterdam, Neurology, Boelelaan 1117, Amsterdam, The Netherlands., De Witt Hamer PC; Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.; Amsterdam UMC Location Vrije Universiteit Amsterdam, Neurosurgery, Boelelaan 1117, Amsterdam, The Netherlands., Reijneveld JC; Department of Neurology, SEIN, Heemstede, The Netherlands., Klein M; Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.; Amsterdam UMC Location Vrije Universiteit Amsterdam, Medical Psychology, Boelelaan 1117, Amsterdam, The Netherlands., Blanken TF; Department of Psychological Methods, University of Amsterdam, 1018 WT, Amsterdam, The Netherlands., Douw L; Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.; Amsterdam UMC Location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, Boelelaan 1117, Amsterdam, The Netherlands.
Jazyk: angličtina
Zdroj: Journal of cancer survivorship : research and practice [J Cancer Surviv] 2024 Jun; Vol. 18 (3), pp. 1032-1041. Date of Electronic Publication: 2023 Mar 16.
DOI: 10.1007/s11764-023-01355-8
Abstrakt: Purpose: To comprehend the complex relationship between symptoms and health-related quality of life (HRQoL) in patients with diffuse glioma, we applied symptom network analysis to identify patterns of associations between depression, cognition, brain tumor-related symptoms, and HRQoL. Additionally, we aimed to compare global strength between symptom networks to understand if symptoms are more tightly connected in different subgroups of patients.
Methods: We included 256 patients and stratified the sample based on disease status (preoperative vs. postoperative), tumor grade (grade II vs. III/IV), and fatigue status (non-fatigued vs. fatigued). For each subgroup of patients, we constructed a symptom network. In these six networks, each node represented a validated subscale of a questionnaire and an edge represented a partial correlation between two nodes. We statistically compared global strength between networks.
Results: Across the six networks, nodes were highly correlated: fatigue severity, depression, and social functioning in particular. We found no differences in GS between the networks based on disease characteristics. However, global strength was lower in the non-fatigued network compared to the fatigued network (5.51 vs. 7.49, p < 0.001).
Conclusions: Symptoms and HRQoL are highly interrelated in patients with glioma. Interestingly, nodes in the network of fatigued patients were more tightly connected compared to non-fatigued patients.
Implications for Cancer Survivors: We introduce symptom networks as a method to understand the multidimensionality of symptoms in glioma. We find a clear association between multiple symptoms and HRQoL, which underlines the need for integrative symptom management targeting fatigue in particular.
(© 2023. The Author(s).)
Databáze: MEDLINE
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