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Analysis on the correlation between heart rate variability and total load of magnetic resonance imaging in cerebral small vessel disease |
LIU Yuechen XU Hui BAI Hongying▲ |
Department of Neurology, the Second Affiliated Hospital of Zhengzhou University, Henan Province, Zhengzhou 450000, China |
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Abstract Objective To analyze the correlation between heart rate variability (HRV) and the total load of magnetic resonance imaging (MRI) in cerebral small vessel disease (CSVD). Methods A total of 188 patients with CSVD admitted to the Department of Neurology, the Second Affiliated Hospital of Zhengzhou University from January 2019 to June 2021 were selected as the research objects. According to the imaging results of lacunae, microbleeds, white matter hyperintensity, and perivascular space, the total load score was evaluated. The score of 0-2 points was included in the low load group (132 cases), and the score of 3-4 points was included in the high load group (56 cases). The general data, HRV parameters, and imaging related indexes of the two groups were compared, and the correlation between HRV parameters and MRI total load score, as well as the influencing factors of MRI total load score in CSVD patients were further analyzed. Results The age of the high load group was higher than that of the low load group, the 24 h mean heart rate, standard deviation of the N-N intervals (SDNN), standard deviation of the averages of N-N intervals in all five minute segments of the entire recording (SDANN), root mean square value of the difference between adjacent N-N intervals (rMSSD), total power (TP), low frequency power (LF), and LF/high frequency power (HF) were all lower than those of the low load group, the differences were statistically significant (P < 0.05). SDNN, SDANN, rMSSD, TP, LF, LF/HF were negatively correlated with the total MRI load score of CSVD patients (rs < 0, P < 0.05). Multivariate analysis showed that rMSSD were the influencing factors of MRI total load score of CSVD (P < 0.05). Conclusion HRV parameters are correlated with the MRI total load score of CSVD patients, and autonomic nervous dysfunction may be related to the development of CSVD.
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[1] 胡文立,杨磊,李譞婷,等.中国脑小血管病诊治专家共识2021[J].中国卒中杂志,2021,16(7):716-726.
[2] Wardlaw JM,Smith EE,Biessels GJ,et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration [J]. Lancet Neurol,2013,12(8):822-838.
[3] Debette S,Schilling S,Duperron M,et al. Clinical Significance of Magnetic Resonance Imaging Markers of Vascular Brain Injury:A Systematic Review and Meta-analysis [J]. Jama Neurol,2019,76(1):81-94.
[4] Georgakis MK,Duering M,Wardlaw JM,et al. WMH and long-term outcomes in ischemic stroke:A systematic review and meta-analysis [J]. Neurology,2019,92(12):e1298-e1308.
[5] Cygankiewicz I,Zareba W. Heart rate variability [J]. Handb Clin Neurol,2013,117:379-393.
[6] Pavlovic AM. Cerebral small vessel disease and heart rate variability:A quest for nontraditional risk factors [J]. Clin Hypertens(Greenwich),2021,23(9):1810-1812.
[7] Ha SY,Park KM,Park J,et al. Autonomic function test in progressive lacunar infarction [J]. Acta Neurol Scand,2018,138(1):32-40.
[8] Del Brutto OH,Mera RM,Costa AF,et al. Effect of Heart Rate Variability on the Association Between the Apnea-Hypopnea Index and Cerebral Small Vessel Disease [J]. Stroke,2019,50(9):2486-2491.
[9] Galluzzi S,Nicosia F,Geroldi C,et al. Cardiac Autonomic Dysfunction Is Associated With White Matter Lesions in Patients With Mild Cognitive Impairment [J]. Gerontol A Biol Sci Med Sci,2009,64(12):1312-1315.
[10] Tian D,Zhang L,Zhuang Z,et al. A two-sample Mendelian randomization analysis of heart rate variability and cerebral small vessel disease [J]. Clin Hypertens(Greenwich),2021,23(8):1608-1614.
[11] Yamaguchi Y,Wada M,Sato H,et al. Impact of nocturnal heart rate variability on cerebral small-vessel disease progression:a longitudinal study in community-dwelling elderly Japanese [J]. Hypertens Res,2015,38(8):564-569.
[12] Nakanishi K,Jin Z,Homma S,et al. Association Between Heart Rate and Subclinical Cerebrovascular Disease in the Elderly [J]. Stroke,2018,49(2):319-324.
[13] Staals J,Makin SD,Doubal FN,et al. Stroke subtype,vascular risk factors,and total MRI brain small-vessel disease burden [J]. Neurology,2014,83(14):1228-1234.
[14] 王云霄,袁俊亮,胡文立.常用卒中量表的研究进展[J].中国卒中杂志,2016,11(12):1072-1077.
[15] 李功迎,宋思佳,曹龙飞.精神障碍诊断与统计手册第5版解读[J].中华诊断学电子杂志,2014(4):310-312.
[16] Sammito S,B?觟ckelmann I. Analysis of heart rate variability. Mathematical description and practical application [J]. Herz,2015,40(S1):76-84.
[17] Fazekas F,Chawluk JB,Alavi A,et al. MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging [J]. AJR Am J Roentgenol,1987,149(2):351-356.
[18] 杨亚丽,王治平,孟昊.心率变异性的研究进展[J].长治医学院学报,2021,35(5):393-396.
[19] Tarvainen MP,Niskanen JP,Lipponen JA,et al. Kubios HRV——heart rate variability analysis software [J]. Comput Methods Programs Biomed,2014,113(1):210-220.
[20] Thorin E,Thorin-Trescases N. Vascular endothelial ageing,heartbeat after heartbeat [J]. Cardiovasc Res,2009, 84(1):24-32.
[21] Wardlaw JM,Smith C,Dichgans M. Mechnisms of sporadic cerebral small vessel disease:insights from neuroimaging [J]. Lancet Neurol,2013,12(5):483-497.
[22] Tessier A,Sibon I,Poli M,et al. Resting Heart Rate Predicts Depression and Cognition Early after Ischemic Stroke:A Pilot Study [J]. J Stroke Cerebrovasc Dis,2017, 26(10):2435-2441.
[23] 邱会卿,刘娜,张立海,等.脑小血管病患者情绪与心脏自主神经功能变化的相互关系研究及其与体内物质代谢的相关性[J].临床和实验医学杂志,2019,18(5):486-489.
[24] Malan L,Hamer M,von Kanel R,et al. Chronic defensiveness and neuroendocrine dysfunction reflect a novel cardiac troponin T cut point:The SABPA study [J]. Psychoneuroendocrino,2017,85:20-27.
[25] 唐若楠,邢晓娜,陈晓虹.脑小血管病影像学标志物总负荷评估及其应用[J].中华神经科杂志,2019(2):136-142. |
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