原发性高血压患者血压变异性及危险因素与缺血性脑白质疏松症的关系
The Relationship between Blood Pressure Variability, Risk Factors and Ischemic Leukoaraiosis in Patients with Primary Hy-pertension
摘要: 目的:探寻原发性高血压患者血压变异性及危险因素与缺血性脑白质疏松症(leukoaraiosis, LA)的关系。方法:以202例原发性高血压病人作为研究对象,按照病人的脑部磁共振检查分为未合并缺血性脑白质疏松症组(无LA组) 94例和合并缺血性脑白质疏松症组(LA组) 108例。合并缺血性脑白质疏松组按照Fazekas的标准进一步分为轻度LA组61例、中重度LA组47例。多因素logistic回归分析比较血压资料及危险因素与各组缺血性LA的关系。结果:无LA组与轻度LA组、中重度LA组的年龄、肾功能不全史、饮酒史、白天收缩压变异系数差异均有统计学意义(P < 0.017)。轻度LA组与中重度LA组的年龄、饮酒史差异有统计学意义(P < 0.017)。年龄、肾功能不全史、饮酒史、白天收缩压变异系数与LA的疾病程度呈正相关(P < 0.05),且均是轻度LA、中重度LA的独立危险因素(P < 0.05)。结论:缺血性LA的发生及严重程度与年龄、肾功能不全、饮酒、白天收缩压变异性关系密切。高血压病的治疗应在控制平均血压的同时,通过预防及控制肾功能不全、酒精依赖、血压变异性等综合干预,预防缺血性LA的发生及发展。
Abstract: Objective: To explore the relationship between blood pressure variability, risk factors and ischemic leukoaraiosis (LA) in patients with primary hypertension. Methods: A total of 202 patients with primary hypertension were divided into non-LA group (n = 94) and LA group (n = 108) according to brain magnetic resonance examination. Patients in LA group were further divided into mild LA group (n = 61), moderate-severe LA group (n = 47) according to the Fazekas classification. The rela-tionship between blood pressure, risk factors and ischemic leukoaraiosis was analyzed by poly-tomous logistic regression analysis. Results: There were significant differences in age, history of re-nal insufficiency, history of alcohol consumption, and coefficient of variation of daytime systolic blood pressure between the non-LA group and the mild LA group and moderate-severe LA group (P < 0.017). There were significant differences in age and drinking history between mild LA group and moderate-severe LA group (P < 0.017). Age, history of renal insufficiency, history of alcohol con-sumption and coefficient of variation of daytime systolic blood pressure were positively correlated with the degree of LA (P < 0.05), and were independent risk factors for mild and moderate-severe LA (P < 0.05). Conclusion: The incidence and severity of ischemic LA were closely related to age, re-nal insufficiency, alcohol consumption and the coefficient of variation in daytime blood pressure. The treatment of hypertension should not only control the mean blood pressure, but also prevent and control renal insufficiency, alcohol dependence, blood pressure variability and other compre-hensive interventions to prevent the occurrence and development of ischemic LA.
文章引用:朱元昭, 张岑, 向玉鸾, 杨竣云, 胡乃青, 罗娇, 李利华. 原发性高血压患者血压变异性及危险因素与缺血性脑白质疏松症的关系[J]. 临床医学进展, 2022, 12(12): 11569-11577. https://doi.org/10.12677/ACM.2022.12121667

参考文献

[1] Hachinski, V.C., Potter, P. and Merskey, H. (1987) Leuko-Araiosis. Archives of Neurology, 44, 21-23. [Google Scholar] [CrossRef] [PubMed]
[2] 高阳. 缺血性脑白质病变[J]. 脑与神经疾病杂志, 2011, 19(6): 473-476.
[3] Pantoni, L. (2010) Cerebral Small Vessel Disease: From Pathogenesis and Clinical Charac-teristics to Therapeutic Challenges. The Lancet Neurology, 9, 689-701. [Google Scholar] [CrossRef
[4] Tang, X., Jiang, L., Luo, Y., et al. (2021) Leukoaraiosis and Acute Ischemic Stroke. The European Journal of Neuroscience, 54, 6202-6213. [Google Scholar] [CrossRef] [PubMed]
[5] Chen, Y., Wang, X., Guan, L. and Wang, Y. (2021) Role of White Matter Hyperintensities and Related Risk Factors in Vascular Cognitive Impairment: A Review. Biomolecules, 11, Article No. 1102. [Google Scholar] [CrossRef] [PubMed]
[6] Mina, Y., Wu, T., Hsieh, H.C., et al. (2021) Association of White Matter Hyperintensities with HIV Status and Vascular Risk Factors. Neurology, 96, e1823-e1834. [Google Scholar] [CrossRef
[7] Nunes, P.T., Kipp, B.T., Reitz, N.L. and Savage, L.M. (2019) Aging with Alcohol-Related Brain Damage: Critical Brain Circuits Associated with Cognitive Dysfunction. In-ternational Review of Neurobiology, 148, 101-168. [Google Scholar] [CrossRef] [PubMed]
[8] Miglinas, M., Cesniene, U., Janusaite, M.M. and Vinikovas, A. (2020) Cerebrovascular Disease and Cognition in Chronic Kidney Disease Patients. Frontiers in Cardiovascular Medi-cine, 7, Article 96. [Google Scholar] [CrossRef] [PubMed]
[9] Wartolowska, K.A., and Webb, A.J.S. (2021) Midlife Blood Pres-sure Is Associated with the Severity of White Matter Hyperintensities: Analysis of the UK Biobank Cohort Study. Euro-pean Heart Journal, 42, 750-757. [Google Scholar] [CrossRef] [PubMed]
[10] Mulè, G., Sorce, A., Vario, M.G., Giambrone, M. and Cottone, S. (2021) Should Reduction of Increased Short-Term Blood Pressure Variability Be a Target of Antihypertensive Therapy? Journal of Clinical Hypertension, 23, 1162-1164. [Google Scholar] [CrossRef] [PubMed]
[11] Fazekas, F., Chawluk, J.B., Alavi, A., Hurtig, H.I. and Zimmerman, R.A. (1987) MR Signal Abnormalities at 1.5 T in Alzheimer’s Dementia and Normal Aging. AJR American Journal of Roent-genology, 149, 351-356. [Google Scholar] [CrossRef] [PubMed]
[12] 中国高血压防治指南修订委员会, 高血压联盟(中国), 中华医学会心血管病分会, 中国医师协会高血压专业委员会, 中国医疗保健国际交流促进会高血压分会, 中国老年医学学会高血压分会. 中国高血压防治指南(2018年修订版) [J]. 中国心血管杂志, 2019, 24(1): 24-56.
[13] 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国脑小血管病诊治指南2020 [J]. 中华神经科杂志, 2022, 55(8): 807-818.
[14] 徐旭然, 王小姗, 刘赞华, 徐珊珊. 脑白质疏松症病人血清胱抑素C、同型半胱氨酸水平及其与病情严重程度的相关性分析[J]. 中西医结合心脑血管病杂志, 2022, 20(14): 2537-2539.
[15] Blinkouskaya, Y., Caçoilo, A., Gollamudi, T., Jalalian, S. and Weickenmeier, J. (2021) Brain Aging Mechanisms with Mechanical Manifestations. Mechanisms of Ageing and Development, 200, Article ID: 111575. [Google Scholar] [CrossRef] [PubMed]
[16] Faizy, T.D., Kumar, D., Broocks, G., et al. (2018) Age-Related Measurements of the Myelin Water Fraction Derived from 3D Multi-Echo GRASE Reflect Myelin Content of the Cere-bral White Matter. Scientific Reports, 8, Article No. 14991. [Google Scholar] [CrossRef] [PubMed]
[17] Sarraf, P., Motamedi, D., Habibi, A., et al. (2019) Wernicke’s Encephalopathy as a Presentation of Severe Thiamine Deficiency after Cardiac Valve Surgery: A Case Report and Narra-tive Review. Current Journal of Neurology, 18, 85-86. [Google Scholar] [CrossRef
[18] Ogunmoroti, O., Osibogun, O., Mcclelland, R.L., et al. (2021) Alcohol Type and Ideal Cardiovascular Health among Adults of the Multi-Ethnic Study of Atherosclerosis. Drug and Alcohol Dependence, 218, Article ID: 108358. [Google Scholar] [CrossRef] [PubMed]
[19] Vemuri, P., Davey, C., Johansen, K.L., et al. (2021) Chronic Kidney Disease Associated with Worsening White Matter Disease and Ventricular Enlargement. Journal of Alz-heimer’s Disease, 83, 1729-1740. [Google Scholar] [CrossRef
[20] De Silva, T.M. and Miller, A.A. (2016) Cerebral Small Vessel Disease: Targeting Oxidative Stress as a Novel Therapeutic Strategy? Frontiers in Pharmacology, 7, Article 61. [Google Scholar] [CrossRef] [PubMed]
[21] Li, Q., Yang, Y., Reis, C., et al. (2018) Cerebral Small Vessel Dis-ease. Cell Transplantation, 27, 1711-1722. [Google Scholar] [CrossRef] [PubMed]
[22] Mcevoy, L.K., Fennema-Notestine, C., Elman, J.A., et al. (2018) Alcohol Intake and Brain White Matter in Middle Aged Men: Microscopic and Macroscopic Differences. NeuroImage: Clinical, 18, 390-398. [Google Scholar] [CrossRef] [PubMed]
[23] Parati, G., Stergiou, G.S., Dolan, E. and Bilo, G. (2018) Blood Pressure Variability: Clinical Relevance and Application. Journal of Clinical Hypertension, 20, 1133-1137. [Google Scholar] [CrossRef] [PubMed]
[24] Kochetkov, A.I., Ostroumova, O.D., Borisova, E.V. and Piksina, G.F. (2019) Mechanisms for the Development of Blood Pressure Variability and the Potential of Antihypertensive Drugs in Their Correction. Kardiologiia, 59, 56-65. (In Russian) [Google Scholar] [CrossRef] [PubMed]
[25] Bilo, G., Giglio, A., Styczkiewicz, K., et al. (2007) A New Method for Assessing 24-h Blood Pressure Variability after Excluding the Contribution of Nocturnal Blood Pressure Fall. Journal of Hypertension, 25, 2058-2066. [Google Scholar] [CrossRef
[26] Di Iorio, B., Pota, A., Sirico, M.L., et al. (2012) Blood Pressure Variability and Outcomes in Chronic Kidney Disease. Nephrology Dialysis Transplantation, 27, 4404-4410. [Google Scholar] [CrossRef] [PubMed]
[27] Flythe, J.E. and Brunelli, S.M. (2015) Blood Pressure Variability among Chronic Dialysis Patients: Recent Advances in Knowledge. Current Opinion in Nephrology and Hypertension, 24, 163-169. [Google Scholar] [CrossRef
[28] Flythe, J.E., Kunaparaju, S., Dinesh, K., et al. (2012) Fac-tors Associated with Intradialytic Systolic Blood Pressure Variability. American Journal of Kidney Diseases, 59, 409-418. [Google Scholar] [CrossRef] [PubMed]
[29] Madsen, L.B., Rasmussen, J.K., Møller, D.S., Nyvad, O. and Pedersen, E.B. (2008) Heart Rate Variability in White-Coat Hypertension. Blood Pressure Monitoring, 13, 65-71. [Google Scholar] [CrossRef
[30] Kim, B.J., Kwon, S.U., Wajsbrot, D., et al. (2018) Relation-ship of Inter-Individual Blood Pressure Variability and the Risk for Recurrent Stroke. Journal of the American Heart Association, 7, e009480. [Google Scholar] [CrossRef
[31] De La Sierra, A., Mateu, A., Gorostidi, M., et al. (2021) Antihy-pertensive Therapy and Short-Term Blood Pressure Variability. Journal of Hypertension, 39, 349-355. [Google Scholar] [CrossRef