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Correlation between MRI total load assessment and quality of life in walking dysfunction patients with cerebral small vessel disease |
SU Cen1 JIN Biao1 ZHAO Kangren1 XIA Haiping1 REN Naiyong1 LI Feng2 PAN Yuqing2 |
1.Department of Neurology, the Fourth People’s Hospital of Zhenjiang, Jiangsu Province, Zhenjiang 212001, China;
2.School of Computer Science, Jiangsu University, Jiangsu Province, Zhenjiang 212013, China |
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Abstract Objective To investigate the correlation between MRI total load assessment and quality of life in walking dysfunction patients with cerebral small vessel disease (CSVD). Methods The data of 110 patients with CSVD walking dysfunction admitted to the Department of Neurology, Zhengdong Road Community Health Center and Baota Road Community Health Center of the Fourth People’s Hospital of Zhenjiang from May 2019 to May 2020 were collected. According to the imaging characteristics of whole brain MRI, they were divided into whole brain injury low load group (total CSVD score ≤2 points, 67 cases) and whole brain injury high load group (total CSVD score> 2 points, 43 cases). Community population functional status scale (COOP/WONCA) was used to evaluate the quality of life in the two groups, and linear regression analysis was used to evaluate the correlation between total CSVD score and various dimensions of quality of life in walking dysfunction patients with CSVD. Results In the whole brain injury high load group, the age, the proportion of history of hypertension, and the proportion of history of type 2 diabetes were higher and Montreal cognitive assessment scale scores were lower than those in the whole brain injury low load group, the differences were statistically significant (P < 0.05). The physical ability, emotion, daily activity, social activity, health change, overall health score and COOP/WONCA total score in the whole brain injury high load group were higher than those in the whole brain injury low load group, with statistical significance (P < 0.05). The results of linear regression analysis showed that physical scores (β = 0.178, 95%CI: 0.010-0.345, P = 0.038) and daily activity scores (β = 0.261, 95%CI: 0.090-0.432, P = 0.003) were positively correlated with the total CSVD score, while emotion, social activity, health change and overall health score were not correlated with the total CSVD score (P > 0.05). Conclusion The heavier the MRI total load of CSVD, the worse the physical ability and daily activity function of patients with walking dysfunction. Chronic disease management of walking dysfunction patients with CSVD needs to be further strengthened.
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[1] 陈慧敏,王伊龙.重视临床步态评估[J].中国卒中杂志,2020,15(1):102-107.
[2] 丁园,赵中.脑小血管病患者步态障碍的研究进展[J].中国实用神经疾病杂志,2020,23(14):1267-1272.
[3] Finsterwalder S,Wuehr M,Gesierich B,et al. Minor gait impairment despite white matter damage in pure small vessel disease [J]. Ann Clin Transl Neurol,2019,6(10):2026-2036.
[4] Li P,Wang Y,Jiang Y,et al. Cerebral small vessel disease is associated with gait disturbance among community-dwelling elderly individuals:the Taizhou imaging study [J]. Aging(Albany NY),2020,12(3):2814-2824.
[5] Smith EE,O’Donnell M,Dagenais G,et al. Early cerebral small vessel disease and brain volume,cognition,and gait [J]. Ann Neurol,2015,77(2):251-261.
[6] Pirker W,Katzenschlager R. Gait disorders in adults and the elderly:A clinical guide [J]. Wien Klin Wochenschr,2017,129(3/4):81-95.
[7] 王伊龙.重视脑小血管病的步态障碍[J].中华医学杂志,2019,99(9):641-643.
[8] 柴湘婷,王祥翔,张瑞霞,等.脑小血管病步态障碍的影像特征与危险因素研究[J].中国卒中杂志,2019,14(3):219-224.
[9] Pappalardo A,Chisari CG,Montanari E,et al. The clinical value of Coop/Wonca charts in assessment of HRQoL in a large cohort of relapsing-remitting multiple sclerosis patients:Results of a multicenter study [J]. Mult Scler Relat Disord,2017,17(1):154-171.
[10] 脑小血管病诊治专家共识组.脑小血管病诊治专家共识[J].中国临床医生,2014,42(1):84-87,90.
[11] Holden MK,Gill KM,Magliozzi MR,et al. Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness [J]. Phys Ther,1984,64(1):35-40.
[12] 金冬梅,燕铁斌.平衡功能临床评定研究进展[J].中华物理医学与康复杂志,2002,24(3):187-189.
[13] 马慧,赵路清,张娟.脑白质高信号的病理生理学机制[J].国际脑血管病杂志,2020,28(8):620-624.
[14] 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.
[15] Graff-Radford J,Simino J,Kantarci K,et al. Neuroimaging Correlates of Cerebral Microbleeds: The ARIC Study (Atherosclerosis Risk in Communities)[J]. Stroke,2017, 48(11):2964-2972.
[16] Wardlaw JM,Benveniste H,Nedergaard M,et al. Perivascular spaces in the brain:anatomy,physiology and pathology [J]. Nat Rev Neurol,2020,16(3):137-153.
[17] Doubal FN,MacLullich AM,Ferguson KJ,et al. Enlarged perivascular spaces on MRI are a feature of cerebral small vessel disease [J]. Stroke,2010,41(3):450-454.
[18] 陈佳,叶子容,袁满琼,等.蒙特利尔认知评估量表在轻度认知功能障碍筛查中的应用与进展[J].中华精神科杂志,2017,50(5):386-389.
[19] 吕兆丰,郭爱民.全科医学概论[M].北京:高等教育出版社,2010:58-59.
[20] Pedrero-Pérez EJ,Díaz-Olalla JM. COOP/WONCA:Reliability and validity of the test administered by telephone [J]. Aten Primaria,2016,48(1):25-32.
[21] 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.
[22] Cannistraro RJ,Badi M,Eidelman BH,et al. CNS small vessel disease:A clinical review [J]. Neurology,2019,92(24):1146-1156.
[23] 刘文超,任小艳,李停停,等.脑白质疏松症患者步态和平衡障碍分析[J].中华行为医学与脑科学杂志,2020, 29(5):453-457.
[24] 曹丽,张璐,张玉琴,等.皮质下缺血性脑小血管病患者认知功能障碍及其与外周血同型半胱氨酸相关性[J].疑难病杂志,2020,19(8):791-794,798.
[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,2019,52(2):136-142.
[26] Verwer JH,Biessels GJ,Heinen R,et al. Occurrence of Impaired Physical Performance in Memory Clinic Patients With Cerebral Small Vessel Disease [J]. Alzheimer Dis Assoc Disord,2018,32(3):214-219.
[27] Siejka TP,Srikanth VK,Hubbard RE,et al. Frailty and Cerebral Small Vessel Disease: A Cross-Sectional Analysis of the Tasmanian Study of Cognition and Gait(TASCOG)[J]. J Gerontol A Biol Sci Med Sci,2018,73(2):255-260.
[28] Zhang Y,Chen Y,Ma L. Depression and cardiovascular disease in elderly:Current understanding [J]. J Clin Neurosci,2018,47:1-5. |
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