Author:
Guo Jiejie,Tian Mei,Li Yongang,Guo Yitong,Zhang Ting,Liu Xuan,Shen Jinze,Zhang Lin,Yu Yueqi,Cao Ling,Gu Haiyan,Li Yanfang,Duan Shiwei,Wang Qinwen
Abstract
Abstract
Background
Stroke stands as the second leading cause of death worldwide. Currently, extensive research has been conducted on stroke risk factors. However, when stroke patients contend with multiple risk factors, the impact on clinical indicators remains uncertain.
Objectives
This study seeks to investigate potential significant variations among distinct ranges of clinical indicators in instances where stroke patients experience multiple risk factors and various ischemic stroke subtypes.
Material and methods
The research encompassed 440 stroke patients admitted to the First People's Hospital of Wenling City, Zhejiang Province, China. These patients were classified based on the type and quantity of risk factors and subtypes of ischemic stroke they presented. The χ2 test was employed to assess the relationship between the risk of comorbid diseases and clinical indicators in stroke patients.
Results
The results of our study have underscored a significant correlation between various comorbid risk factors in stroke patients and the patients' age (P < 0.010). Furthermore, we observed noteworthy disparities in the plasma levels of IL-2, IL-4, IL-6, IL-10, TNF-α, and INF-γ between patients devoid of risk factors and those presenting with comorbid risk factors associated with stroke. Significant differences in INF-γ were observed between the two subtypes of ischemic stroke, namely lacunar infarction and cardioembolic stroke.
Conclusion
Age is correlated with an elevated risk of stroke. Individuals exhibiting multiple stroke risk factors and diverse ischemic stroke subtypes commonly present with abnormal lipid levels and imbalances in Th1/Th2 cytokines. These factors significantly contribute to the onset and progression of stroke. Furthermore, inflammatory responses, particularly those induced by atherosclerosis, play a pivotal role in the genesis of stroke and exert a substantial influence on its prognosis.
Funder
The Natural Science Foundation of Zhejiang Province
the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission
Taizhou Science and Technology Project
Wenling Science and Technology Project
K.C. Wong Magna Fund in Ningbo University
Science Foundation of Yinzhou
Science Foundation of Jiangdong
Publisher
Springer Science and Business Media LLC