Correlation analysis between cerebral microangiopathy and autonomic nervous dysfunction

被引:1
|
作者
Liu, Na [1 ]
Wang, Hongmin [1 ]
Han, Bing [1 ]
Wang, Wenyuan [1 ]
Zhou, Moqing [1 ]
Yang, Lin [1 ]
Wang, Yanyong [1 ]
机构
[1] Hebei Med Univ, Hosp 1, Dept Neurol, 89 Donggang Rd, Shijiazhuang 050000, Hebei, Peoples R China
来源
BRAIN AND BEHAVIOR | 2024年 / 14卷 / 02期
关键词
autonomic dysfunction; cerebral microangiopathy; correlation;
D O I
10.1002/brb3.3391
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
ObjectiveOur study was conducted aimed at investigating the potential correlation between cerebral microangiopathy and autonomic nervous dysfunction. MethodsWe initially included 164 hospitalized patients with cerebral microangiopathy at our hospital from November 2019 to January 2021. Based on the inclusion and exclusion criteria, a final total of 162 patients with cerebral microangiopathy were selected. According to the patient's Autonomic Symptom Profile (ASP) score, patients with a score greater than 22 were categorized into a group with concomitant autonomic dysfunction (71 cases, combined group), while those with a score below 22 were categorized into a group of isolated cerebral microangiopathy (83 cases, cerebral microangiopathy group). The general data and laboratory examination results of the two groups were analyzed, and Pearson correlation analysis was performed to evaluate the correlation between cerebral microangiopathy and autonomic dysfunction, as well as the influencing factors of cerebral microangiopathy patients combined with autonomic dysfunction. ResultsThere were no significant differences between the two groups in terms of sex, BMI, smoking, drinking, family dementia history, diabetes, hypothyroidism, carotid atherosclerosis, obstructive sleep apnea hypopnea syndrome, hyperuricemia, hyperlipidemia, chronic obstructive pulmonary disease, Hamilton Anxiety Scale score, Hamilton Depression Scale score, 24-h mean systolic blood pressure (SBP), 24-h mean diastolic blood pressure DBP, daytime mean systolic blood pressure (dSBP), daytime mean diastolic blood pressure, nighttime mean systolic blood pressure (nSBP), nighttime mean diastolic blood pressure, 24-h systolic blood pressure standard deviation (SBPSD), 24-h diastolic blood pressure standard deviation, daytime diastolic blood pressure standard deviation, nighttime diastolic blood pressure standard deviation (nDBPSD), nDBPSD (p > .05). However, significant differences were observed between the two groups regarding age, history of coronary heart disease, hypertension, leukoaraiosis, cognitive function, ASP score, SSR, 24-h SBPSD, daytime systolic blood pressure standard deviation (dSBPSD), nighttime systolic blood pressure standard deviation (nSBPSD), standard deviation of RR interval (SDNN), root mean square value of successive RR interval difference (RMSSD), high-frequency component (HF), and low-frequency component (LF) (p < .05). Moreover, the levels of TG, TC, HDL-C, and LDL-C did not show significant differences between the two groups (p > .05), but there were significant differences in blood uric acid and homocysteine (Hcy) levels (p < .05). Age, history of leukoaraiosis, cognitive function assessment, blood uric acid, Hcy levels, 24-h SBPSD, dSBPSD, and nSBPSD showed positive correlations with ASP scores and SSR in patients with cerebral microangiopathy (p < .001). In contrast, hypertension, SDNN, RMSSD, HF, and LF showed negative correlations with ASP scores and SSR (p < .001). Moreover, coronary heart disease was negatively correlated with ASP scores but positively correlated with SSR (p < .001). The independent variables included age, history of leukoaraiosis, cognitive function assessment, ASP score, SSR, blood uric acid, Hcy, bradykinin, coronary heart disease, hypertension, 24-h SBPSD, dSBPSD, nSBPSD, SDNN, RMSSD, HF, and LF, which were indicators with differences in general data and laboratory indicators. The dependent variable was patients with cerebral microangiopathy combined with autonomic nervous dysfunction. The analysis results showed that age, history of leukoaraiosis, ASP score, SSR, 24-h SBPSD, dSBPSD, nSBPSD, SDNN, RMSSD, HF, and LF were the influencing factors of patients with cerebral microangiopathy complicated with autonomic nervous dysfunction. ConclusionWe demonstrates that age, history of leukoaraiosis, cognitive function assessment, blood uric acid, Hcy level, 24-h SBPSD, dSBPSD, nSBPSD, blood pressure, SDNN, RMSSD, HF, LF, and coronary heart disease were highly associated with cerebral microangiopathy with autonomic dysfunction. Furthermore, the influencing factors of cerebral microangiopathy with autonomic dysfunction are age, history of leukoaraiosis, ASP score, SSR, blood pressure variability, and HRV.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Autonomic nervous dysfunction during acute cerebral infarction
    Kuriyama, Nagato
    Mizuno, Toshiki
    Niwa, Fumitoshi
    Watanabe, Yoshiyuki
    Nakagawa, Masanori
    NEUROLOGICAL RESEARCH, 2010, 32 (08) : 821 - 827
  • [2] Significant correlation between autonomic nervous activity and cerebral hemodynamics during thermotherapy on the neck
    Yasui, Hiroshi
    Takamoto, Kouich
    Hori, Etsuro
    Urakawa, Susumu
    Nagashima, Yoshinao
    Yada, Yukihiro
    Ono, Taketoshi
    Nishijo, Hisao
    AUTONOMIC NEUROSCIENCE-BASIC & CLINICAL, 2010, 156 (1-2): : 96 - 103
  • [3] Analysis of the Relationship between Recent Small Subcortical Infarcts and Autonomic Nervous Dysfunction
    Yuan, Wenxin
    An, Lu
    Wang, Yunchao
    Zong, Ce
    Yang, Yinghao
    Jin, Hua
    Gao, Yuan
    Wang, Limei
    Li, Yusheng
    Xu, Yuming
    Ji, Yan
    CURRENT NEUROVASCULAR RESEARCH, 2024, 21 (02) : 166 - 176
  • [4] Autonomic nervous dysfunction and fatigue in multiple sclerosis. Is there some correlation?
    Lebre, A
    Tilbery, CP
    Mendes, MF
    MULTIPLE SCLEROSIS, 2005, 11 : S67 - S67
  • [5] MANAGEMENT OF AUTONOMIC NERVOUS DYSFUNCTION
    HARRER, G
    BIBLIOTHECA PSYCHIATRICA ET NEUROLOGICA, 1968, (139): : 494 - &
  • [6] Causal interactions between the cerebral cortex and the autonomic nervous system
    YU XiaoLin
    ZHANG Chong
    ZHANG JianBao
    Science China(Life Sciences) , 2014, (05) : 532 - 538
  • [7] Causal interactions between the cerebral cortex and the autonomic nervous system
    Yu XiaoLin
    Zhang Chong
    Zhang JianBao
    SCIENCE CHINA-LIFE SCIENCES, 2014, 57 (05) : 532 - 538
  • [8] Causal interactions between the cerebral cortex and the autonomic nervous system
    XiaoLin Yu
    Chong Zhang
    JianBao Zhang
    Science China Life Sciences, 2014, 57 : 532 - 538
  • [9] Causal interactions between the cerebral cortex and the autonomic nervous system
    YU XiaoLin
    ZHANG Chong
    ZHANG JianBao
    Science China(Life Sciences), 2014, 57 (05) : 532 - 538
  • [10] The correlation between noradrenaline and acetylcholine levels and autonomic nervous system dysfunction in patients with stroke-associated pneumonia
    Zeng, Qing-Hong
    Jiang, Yu-Long
    Wang, Yan
    Nie, Hong-Xia
    Zhou, Fang
    Yu, Shan-Hua
    Zhuang, Ai-Xia
    Wang, Chuan-Qi
    Peng, Yan-Yan
    Zhang, Hao-Jiang
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2017, 10 (10): : 14761 - 14769