老年脑小血管病患者合并认知衰弱的研究进展
Research Progress of Cognitive Frailty in El-derly Patients with Small Cerebral Vascular Disease
DOI: 10.12677/ACM.2024.143768, PDF,   
作者: 张梓莘, 刘宴廷:西安医学院研工部,陕西 西安;杨俊生*:陕西省人民医院康复医学科,陕西 西安
关键词: 脑小血管病认知衰弱干预措施预后研究进展 Cerebral Small Vessel Disease Cognitive Frailty Interventions Prognosis Research Progress
摘要: 脑小血管病(Cerebral Small Vessel Disease, CSVD)是指由颅内小动脉、小静脉、毛细血管病变及脑实质结构改变引起的不同临床表现和神经影像学特征的一组综合征。认知衰弱是指存在身体虚弱和认知障碍,且排除了神经退行性疾病引起的痴呆和认知障碍。随着对脑小血管病研究的深入以及认知衰弱概念的提出,人们发现在脑小血管病中认知衰弱的患病率高且预后效果不佳。因此,在对脑小血管病合并认知衰弱早期识别,尽早给与危险因素干预改善预后显得至关重要。本文旨在帮助临床医师具体认识脑小血管病合并认知衰弱这一病症,并为进一步研究提供参考,对脑小血管病合并认知衰弱相关进行综述。
Abstract: Cerebral small vessel disease (CSVD) is a group of syndromes with different clinical manifestations and neuroimaging features caused by intracranial small arterial, venous, and capillary vasculopa-thy and structural changes in the brain parenchyma. Cognitive decline is defined as the presence of physical weakness and cognitive impairment and excludes dementia and cognitive impairment caused by neurodegenerative diseases. With the deepening of research on cerebral small- vessel disease and the introduction of the concept of cognitive decline, it has been found that the preva-lence of cognitive decline in cerebral small-vessel disease is high and the prognosis is poor. There-fore, it is crucial to recognize cognitive decline in small vessel cerebrovascular disease at an early stage and provide risk factor interventions as early as possible to improve the prognosis. The aim of this article is to help clinicians to specifically recognize the condition of cerebral small vessel dis-ease combined with cognitive weakness, and to provide a reference for further research, and to provide a review of the association of cerebral small vessel disease combined with cognitive weak-ness.
文章引用:张梓莘, 刘宴廷, 杨俊生. 老年脑小血管病患者合并认知衰弱的研究进展[J]. 临床医学进展, 2024, 14(3): 764-771. https://doi.org/10.12677/ACM.2024.143768

参考文献

[1] Cuadrado-Godia, E., Dwivedi, P., Sharma, S., et al. (2018) Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies. Journal of Stroke, 20, 302-320. [Google Scholar] [CrossRef] [PubMed]
[2] Li, Q., Yang, Y., Reis, C., et al. (2018) Cerebral Small Vessel Disease. Cell Transplantation, 27, 1711-1722. [Google Scholar] [CrossRef] [PubMed]
[3] Wardlaw, J.M., Smith, E.E., Biessels, G.J., et al. (2013) Neu-roimaging Standards for Research into Small Vessel Disease and Its Contribution to Ageing and Neurodegeneration. The Lancet Neurology, 12, 822-838. [Google Scholar] [CrossRef
[4] Jia, L., Du, Y., Chu, L., et al. (2020) Prevalence, Risk Fac-tors, and Management of Dementia and Mild Cognitive Impairment in Adults Aged 60 Years or Older in China: A Cross-Sectional Study. The Lancet Public Health, 5, E661-E671. [Google Scholar] [CrossRef
[5] Petersen, R.C., Doody, R., Kurz, A., et al. (2001) Current Concepts in Mild Cognitive Impairment. Arch Neurology, 58, 1985-1992. [Google Scholar] [CrossRef] [PubMed]
[6] Yuan, Y., Lapane, K.L., Tjia, J., et al. (2021) Physical Frailty and Cognitive Impairment in Older Nursing Home Residents: A Latent Class Analysis. BMC Geriatrics, 21, Article No. 487. [Google Scholar] [CrossRef] [PubMed]
[7] Bai, G., Wang, Y., Kuja-Halkola, R., et al. (2021) Frailty and the Risk of Dementia: Is the Association Explained by Shared Environmental and Genetic Factors? BMC Medicine, 19, Arti-cle No. 248. [Google Scholar] [CrossRef] [PubMed]
[8] Chu, N.M., Xue, Q.L., Mcadams-Demarco, M.A., et al. (2021) Frailty—A Risk Factor of Global and Domain-Specific Cognitive Decline among a Nationally Representative Sample of Community-Dwelling Older Adult U.S. Medicare Beneficiaries. Age and Ageing, 50, 1569-1577. [Google Scholar] [CrossRef] [PubMed]
[9] Gross, A.L., Xue, Q.L., Bandeen-Roche, K., et al. (2016) Declines and Impairment in Executive Function Predict Onset of Physical Frailty. The Journals of Gerontology: Series A, 71, 1624-1630. [Google Scholar] [CrossRef] [PubMed]
[10] Feng, L., Zin Nyunt, M.S., Gao, Q., et al. (2017) Cogni-tive Frailty and Adverse Health Outcomes: Findings from the Singapore Longitudinal Ageing Studies (SLAS). Journal of the American Medical Directors Association, 18, 252-258. [Google Scholar] [CrossRef] [PubMed]
[11] Kelaiditi, E., Cesari, M., Canevelli, M., et al. (2013) Cognitive Frailty: Rational and Definition from an (I.A.N.A./ I.A.G.G.) International Consensus Group. The Journal of Nutrition, Health and Aging, 17, 726-734. [Google Scholar] [CrossRef] [PubMed]
[12] Ruan, Q., Yu, Z., Chen, M., et al. (2015) Cognitive Frailty, a Novel Target for the Prevention of Elderly Dependency. Ageing Research Reviews, 20, 1-10. [Google Scholar] [CrossRef] [PubMed]
[13] Fried, L.P., Tangen, C.M., Walston, J., et al. (2001) Frailty in Older Adults: Evidence for a Phenotype. The Journals of Gerontology: Series A, 56, M146-M156. [Google Scholar] [CrossRef
[14] 倪秀石, 吴方, 宋娟, 等. 老年人认知障碍评估中国专家共识(2022) [J]. 中华老年医学杂志, 2022, 41(12): 1430-1440.
[15] Carnero-Pardo, C., Rego-García, I., Barrios-López, J.M., et al. (2022) Assessment of the Diagnostic Accuracy and Discriminative Validity of the Clock Drawing and Mini-Cog Tests in Detecting Cognitive Impairment. Neurologia, 37, 13-20. [Google Scholar] [CrossRef] [PubMed]
[16] 杨小龙, 梁文佳, 赵鑫, 等. 老年人认知能力对抑郁情绪的影响: 日常生活能力的中介作用[J]. 国际精神病学杂志, 2023, 50(4): 744-748.
[17] Zhang, X.M., Jiao, J., Zhu, C., et al. (2021) Cognitive Frailty and 30-Day Mortality in a National Cohort of Older Chinese Inpatients. Clinical Interventions in Aging, 16, 389-401. [Google Scholar] [CrossRef
[18] Zhang, X.M., Yuan, L., Guo, N., et al. (2021) Cognitive Frailty and Falls in a National Cohort of Older Chinese Inpatients. The Journal of Nutrition, Health and Aging, 25, 993-998. [Google Scholar] [CrossRef] [PubMed]
[19] Ma, L., Zhang, L., Sun, F., et al. (2019) Cognitive Function in Prefrail and Frail Community-Dwelling Older Adults in China. BMC Geriatrics, 19, Article No. 53. [Google Scholar] [CrossRef] [PubMed]
[20] Seesen, M., Sirikul, W., Ruangsuriya, J., et al. (2021) Cognitive Frailty in Thai Community-Dwelling Elderly: Prevalence and Its Association with Malnutrition. Nutrients, 13, Article 4239. [Google Scholar] [CrossRef] [PubMed]
[21] 魏微, 赵弘轶, 刘宇, 等. 老年脑小血管病患者认知衰弱的临床研究[J]. 中华老年心脑血管病杂志, 2021, 23(7): 743-746.
[22] Kant, I.M.J., Mutsaerts, H., Van Montfort, S.J.T., et al. (2019) The Association between Frailty and MRI Features of Cerebral Small Vessel Disease. Scientific Reports, 9, Article No. 11343. [Google Scholar] [CrossRef] [PubMed]
[23] 王艳玲, 孙洪茹, 申雪花, 等. 老年脑小血管病患者衰弱现状及其影响因素[J]. 济宁医学院学报, 2023, 46(4): 249-252.
[24] Mu, L., Jiang, L., Chen, J., et al. (2021) Serum Inflammatory Factors and Oxidative Stress Factors Are Associated with Increased Risk of Frailty and Cognitive Frailty in Patients with Cerebral Small Vessel Disease. Frontiers in Neurology, 12, Article 786277. [Google Scholar] [CrossRef] [PubMed]
[25] Zhào, H., Wei, W., Liu, Y., et al. (2020) Cognitive Frailty among Elderly Chinese Patients with Cerebral Small Vessel Disease: A Structural MRI Study. Frontiers in Medicine, 7, Article 397. [Google Scholar] [CrossRef] [PubMed]
[26] Hilal, S., Ikram, M.A., Verbeek, M.M., et al. (2018) C-Reactive Protein, Plasma Amyloid-β Levels, and Their Interaction with Magnetic Resonance Imaging Markers. Stroke, 49, 2692-2698. [Google Scholar] [CrossRef
[27] Rouhl, R.P., Damoiseaux, J.G., Lodder, J., et al. (2012) Vascular Inflammation in Cerebral Small Vessel Disease. Neurobiology of Aging, 33, 1800-1806. [Google Scholar] [CrossRef] [PubMed]
[28] Zhang, L., Zeng, X., He, F., et al. (2023) Inflammatory Biomarkers of Frailty: A Review. Experimental Gerontology, 179, Article ID: 112253. [Google Scholar] [CrossRef] [PubMed]
[29] Picca, A., Coelho-Junior, H.J., Calvani, R., et al. (2022) Bi-omarkers Shared by Frailty and Sarcopenia in Older Adults: A Systematic Review and Meta-Analysis. Ageing Research Reviews, 73, Article ID: 101530. [Google Scholar] [CrossRef] [PubMed]
[30] Sakuma, K., Aoi, W. and Yamaguchi, A. (2015) Current Under-standing of Sarcopenia: Possible Candidates Modulating Muscle Mass. Pflügers Archiv—European Journal of Physiol-ogy, 467, 213-229. [Google Scholar] [CrossRef] [PubMed]
[31] Li, T., Huang, Y., Cai, W., et al. (2020) Age-Related Cerebral Small Vessel Disease and Inflammaging. Cell Death & Disease, 11, Article No. 932. [Google Scholar] [CrossRef] [PubMed]
[32] Wu, I.C., Lin, C.C. and Hsiung, C.A. (2015) Emerging Roles of Frailty and Inflammaging in Risk Assessment of Age-Related Chronic Diseases in Older Adults: The Intersection be-tween Aging Biology and Personalized Medicine. Biomedicine, 5, Article 1. [Google Scholar] [CrossRef] [PubMed]
[33] Low, A., Mak, E., Rowe, J.B., et al. (2019) Inflammation and Cerebral Small Vessel Disease: A Systematic Review. Ageing Research Reviews, 53, Article ID: 100916. [Google Scholar] [CrossRef] [PubMed]
[34] Choi, D.H., Lee, K.H., Kim, J.H., et al. (2014) NADPH Oxidase 1, A Novel Molecular Source of ROS in Hippocampal Neuronal Death in Vascular Dementia. Antioxidants & Redox Sig-naling, 21, 533-550. [Google Scholar] [CrossRef] [PubMed]
[35] Porte, Y., Buhot, M.C. and Mons, N. (2008) Alteration of CREB Phosphorylation and Spatial Memory Deficits in Aged 129T2/Sv Mice. Neurobiology of Aging, 29, 1533-1546. [Google Scholar] [CrossRef] [PubMed]
[36] Chen, Y., Wang, X., Guan, L., et al. (2021) Role of White Matter Hyperintensities and Related Risk Factors in Vascular Cognitive Impairment: A Review. Biomolecules, 11, Article 1102. [Google Scholar] [CrossRef] [PubMed]
[37] Hirao, K., Yamashita, F., Sakurai, S., et al. (2021) Asso-ciation of Regional White Matter Hyperintensity Volumes with Cognitive Dysfunction and Vascular Risk Factors in Pa-tients with Amnestic Mild Cognitive Impairment. Geriatrics & Gerontology International, 21, 644-650. [Google Scholar] [CrossRef] [PubMed]
[38] Pedersen, B.K. (2019) Physical Activity and Muscle-Brain Crosstalk. Na-ture Reviews Endocrinology, 15, 383-392. [Google Scholar] [CrossRef] [PubMed]
[39] Yang, C.P., Yang, W.S., Wong, Y.H., et al. (2020) Muscle At-rophy-Related Myotube-Derived Exosomal MicroRNA in Neuronal Dysfunction: Targeting both Coding and Long Noncoding RNAs. Aging Cell, 19, e13107. [Google Scholar] [CrossRef] [PubMed]
[40] Liu, L.K., Chou, K.H., Hsu, C.H., et al. (2020) Cerebellar-Limbic Neu-rocircuit Is the Novel Biosignature of Physio-Cognitive Decline Syndrome. Aging, 12, 25319-25336. [Google Scholar] [CrossRef] [PubMed]
[41] Van, Uden, I.W., Van, Der, Holst, H.M., Tuladhar, A.M., et al. (2016) White Matter and Hippocampal Volume Predict the Risk of Dementia in Patients with Cerebral Small Vessel Disease: The RUN DMC Study. Journal of Alzheimer’s Disease, 49, 863-873. [Google Scholar] [CrossRef
[42] Arai, H., Satake, S. and Kozaki, K. (2018) Cognitive Frailty in Geriatrics. Clinics in Geriatric Medicine, 34, 667-675. [Google Scholar] [CrossRef] [PubMed]
[43] Kwan, R.Y., Lee, D., Lee, P.H., et al. (2020) Effects of an MHealth Brisk Walking Intervention on Increasing Physical Activity in Older People with Cognitive Frailty: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth, 8, e16596. [Google Scholar] [CrossRef] [PubMed]
[44] Yoon, D.H., Lee, J.Y. and Song, W. (2018) Effects of Resistance Exercise Training on Cognitive Function and Physical Performance in Cogni-tive Frailty: A Randomized Controlled Trial. The Journal of Nutrition, Health and Aging, 22, 944-951. [Google Scholar] [CrossRef] [PubMed]
[45] Xia, R., Wan, M., Lin, H., et al. (2020) Effects of a Traditional Chinese Mind-Body Exercise, Baduanjin, on the Physical and Cognitive Functions in the Community of Older Adults with Cognitive Frailty: Study Protocol for a Randomised Controlled Trial. BMJ Open, 10, e034965. [Google Scholar] [CrossRef] [PubMed]
[46] Stephen, R., Liu, Y., Ngandu, T., et al. (2019) Brain Volumes and Cortical Thickness on MRI in the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disabil-ity (FINGER). Alzheimer’s Research & Therapy, 11, Article No. 53. [Google Scholar] [CrossRef] [PubMed]
[47] Lei, D., Sha, Y., Wen, S., et al. (2020) Dexmedetomidine May Reduce IL-6 Level and the Risk of Postoperative Cognitive Dysfunction in Patients After Surgery: A Meta-Analysis. Dose-Response, 18, 1-8. [Google Scholar] [CrossRef] [PubMed]
[48] Chen, N., Chen, X., Xie, J., et al. (2019) Dexmedetomidine Pro-tects Aged Rats from Postoperative Cognitive Dysfunction by Alleviating Hippocampal Inflammation. Molecular Medi-cine Reports, 20, 2119-2126. [Google Scholar] [CrossRef] [PubMed]
[49] Stomrud, E., Björkqvist, M., Janciauskiene, S., et al. (2010) Altera-tions of Matrix Metalloproteinases in the Healthy Elderly with Increased Risk of Prodromal Alzheimer’s Disease. Alz-heimer’s Research & Therapy, 2, Article No. 20. [Google Scholar] [CrossRef] [PubMed]
[50] Wu, C., Gao, B. and Gui, Y. (2019) Malondialdehyde on Postoperative Day 1 Predicts Postoperative Cognitive Dysfunction in Elderly Patients After Hip Fracture Surgery. Bioscience Reports, 39, BSR20190166. [Google Scholar] [CrossRef
[51] Yao, Z.H., Yao, X.L., Zhang, Y., et al. (2018) Luteolin Could Improve Cognitive Dysfunction by Inhibiting Neuroinflammation. Neurochemical Research, 43, 806-820. [Google Scholar] [CrossRef] [PubMed]
[52] Fogg, C., Meredith, P., Culliford, D., et al. (2019) Cognitive Im-pairment Is Independently Associated with Mortality, Extended Hospital Stays and Early Readmission of Older People with Emergency Hospital Admissions: A Retrospective Cohort Study. International Journal of Nursing Studies, 96, 1-8. [Google Scholar] [CrossRef] [PubMed]