Network analysis of multidimensional symptoms and inflammatory biomarkers in Chinese patients with glioma

Author:

Li Huayu1,Shi Xiaohan2,Li Jing3,Zhang Xinrui2,Nyalali Alphonce M K3,Li Feng3

Affiliation:

1. Department of Social Medicine of School of Public Health and Department of Pharmacy of the First Affiliated Hospital, Zhejiang University School of Medicine

2. School of Nursing and Rehabilitation, Shandong University

3. Department of Neurosurgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences

Abstract

Abstract

Purpose Patients with glioma experience multidimensional symptoms that reduce their functional status, quality of life, and survival, and these symptoms may be associated with inflammation. This study applied network analysis to examine and visualize the relationship between multidimensional symptom experiences and inflammatory biomarkers and assess the symptom networks of multidimensional symptom experiences over time in patients with glioma.Methods Participants diagnosed with glioma were recruited and completed the MD Anderson Symptom Inventory-Brain Tumor Module (MDASI-BT) at three different time points: 2 days after admission (T1), 7 days after surgery (T2), and 1 month after surgery (T3). On the same day as the T1 questionnaire collection, plasma levels of interleukin-1β (IL-1β), IL-6, IL-10, tumor necrosis factor-α (TNF-α), and c-reactive protein (CRP) were measured. Network analysis was employed to explore the relationships among multidimensional symptom experiences and inflammatory biomarkers of patients.Results Of the total 334 participants (mean age 54.38 ± 13.16 years), 67.1% had high-grade tumors. In the symptom-cytokine network model, there were positive correlations between “sad and IL-6” (0.19), “fatigue and IL-10” (0.07), and “sleepy and IL-1β” (0.06). Regarding the symptom-symptom network models, difficulty remembering (rs = 1.20), sad (rs = 1.60), and change in bowel pattern (rs = 1.30) emerged as the most central symptoms across the three assessments.Conclusions Network analysis provides a novel method for investigating the relationships between multidimensional symptom experiences and inflammatory biomarkers. Additionally, it allows for identifying different core symptoms at various stages of treatment. Nurses should effectively address and manage symptoms by focusing on special core symptoms and their interconnections within the network.Implications for Cancer Survivors Assessing and addressing neurological symptoms, psychological changes, gastrointestinal symptoms early in treatment may improve health outcomes of patients with glioma.

Publisher

Springer Science and Business Media LLC

Reference43 articles.

1. Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014;Ostrom QT;JAMA Oncol,2018

2. Glioblastoma and other malignant gliomas: a clinical review;Omuro A;JAMA,2013

3. Symptom management and quality of life in glioma patients;Boele FW;CNS Oncol,2014

4. Symptom clusters and their effect on the functional status of patients with cancer;Dodd MJ;Oncol Nurs Forum,2001

5. The symptom burden of primary brain tumors: evidence for a core set of tumor- and treatment-related symptoms;Armstrong TS;Neuro Oncol,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3