Abstract
Purpose
Anxiety, depression, sleep disorder, fatigue, and pain develop as common psychoneurological symptoms in patients with glioma, and their occurrence and development are potentially related to inflammatory factors. However, this theory has not been proven within the context of glioma. This study aimed to estimate interconnections among psychoneurological symptoms and inflammatory biomarkers by a network analysis.
Patients and methods
We selected 203 patients with stage I–IV glioma from a tertiary hospital in China using convenient sampling method. Patients completed the self-made questionnaires, Hamilton Anxiety Scale-14 (HAMA-14), Hamilton Depression Scale-24 (HAMD-24), Pittsburgh Sleep Quality Index (PSQI), Multidimensional Fatigue Inventory-20 (MFI-20), and pain Numerical Rating Scale (NRS). The plasma inflammatory cytokines were examined. Partial correlation network analysis was performed to illustrate interactions of symptoms and inflammatory biomarkers.
Results
Among the 203 included patients, all psychoneurological symptoms, except for depression and pain, exhibited significant connections with each other. Depression, anxiety, fatigue, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) with higher strength centrality indices were identified as the most central node within the symptom-biomarker network.
Conclusions
Depression, anxiety, fatigue, IL-6, and TNF-α play a significant role in the symptom-biomarker network in patients with glioma. Medical staff should strengthen the dynamic evaluation of the involved symptoms and inflammatory cytokines and take effective measures to alleviate the burden of symptoms and improve the quality of life of patients.
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Data availability
The original information supporting our consequences can be gettable upon request.
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Acknowledgements
Thanks for the guidance and help from Shandong Cancer Hospital and Institute.
Funding
This research was supported by the Key Technology Research and Development Program of Shandong (2017GSF218028).
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All authors contributed to the study conception and design. Feng Li: conceptualization, project administration, and writing—review and editing. Huayu Li: investigation, methodology, software, and writing—original draft preparation. Xiaohan Shi: data collection supervision, formal analysis, and writing assisting. Jing Li: data collection supervision, software, and methodology. Xinrui Zhang: investigation, formal analysis, and methodology. The authors have read and agreed to the published version of the manuscript.
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This study was performed in line with the principles of the Declaration of Helsinki and approved by the Ethics Review Board of School of Nursing and Rehabilitation, Shandong University (protocol code 2020-R-071).
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Li, H., Shi, X., Li, J. et al. Psychoneurological symptoms and inflammatory markers in patients with glioma in China: a network analysis. Support Care Cancer 31, 435 (2023). https://doi.org/10.1007/s00520-023-07873-6
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DOI: https://doi.org/10.1007/s00520-023-07873-6