帕金森病患者的血压变异性与认知功能的关系
The Relationship between Blood Pressure Variability and Cognitive Function in Parkinson’s Disease Patients
DOI: 10.12677/acm.2026.162700, PDF,   
作者: 陈舒琼:青岛大学青岛医学院,山东 青岛;康复大学青岛医院(青岛市市立医院)神经内科,山东 青岛;闫 慧, 于新娟, 王 新*:康复大学青岛医院(青岛市市立医院)神经内科,山东 青岛;王誉静:康复大学青岛医院(青岛市市立医院)神经内科,山东 青岛;山东第二医科大学临床医学院,山东 潍坊
关键词: 帕金森病血压变异性认知功能障碍收缩压舒张压Parkinson’s Disease Blood Pressure Variability Cognitive Dysfunction Systolic Blood Pressure Diastolic Blood Pressure
摘要: 目的:探讨帕金森病(Parkinson’s disease, PD)患者长期血压变异性与认知功能纵向变化的相关性。方法:从帕金森进展标志物倡议(Parkinson’s Progression Marker Initiative, PPMI)数据库中筛选2025年3月21日以前诊断为原发性PD的1444名患者为研究对象,收集其基线及随访12个月、24个月、36个月、48个月和60个月的数据资料,分析PD患者的血压资料,研究5年内血压变异性与基线临床认知评估量表结果的相关性及临床认知评估量表结果纵向变化的相关性。结果:基线数据线性回归分析发现,基线蒙特利尔认知评估量表(Montreal cognitive assessment, MoCA)评分与Supine SBP-CV (β = −4.351, P = 0.037)、Supine SBP-SD (β = −0.034, P = 0.034)均呈负相关,基线符号数字模型测试(symbol digit modality test, SDMT)评分与Supine DBP-SD (β = −0.194, P = 0.046)、Standing DBP-CV (β = −14.544, P = 0.042)、Supine SBP-SD (β = −0.131, P = 0.026)、Supine SBP-CV (β = −18.737, P = 0.016)呈负相关,基线字母数字序列测试(letter number sequencing, LNS)评分与血压变异性未见明显线性相关。通过线性混合效应模型分析发现,MoCA评分中Supine SBP-SD (β = −0.010, P = 0.020)、Supine SBP-CV (β = −1.147, P = 0.042)、Standing SBP-CV (β = −1.052, P = 0.045)、Standing DBP-CV (β = −1.082, P = 0.039)变化幅度越大,其MoCA评分随时间衰退更显著;LNS评分中Supine SBP-SD (β = −0.009, P = 0.013)、Supine SBP-CV (β = −1.080, P = 0.035)、Standing SBP-SD (β = −0.009, P = 0.018)、Standing SBP-CV (β = −1.177, P = 0.015)、Standing DBP-CV (β = −1.023, P = 0.031)、Standing DBP-SD (β = −0.013, P = 0.042)增加,其LNS评分下降越快;SDMT评分中Standing DBP-CV (β = −4.226, P = 0.011)和Standing SBP-CV (β = −4.304, P = 0.011)升高,其SDMT评分衰减越多。结论:对帕金森病患者来说,血压变异性与认知有关,无论是收缩压还是舒张压,波动程度越大,对其认知功能的损伤也越大。
Abstract: Objective: To explore the correlation between long-term blood pressure variability and longitudinal changes in cognitive function in patients with Parkinson’s disease (PD). Methods: A total of 1444 patients diagnosed with primary PD before March 21, 2025, were selected from the Parkinson’s Progression Marker Initiative (PPMI) database as the study subjects. Data were collected at baseline and follow-up visits at 12, 24, 36, 48, and 60 months to analyze the blood pressure profiles of PD patients and to investigate the correlation between blood pressure variability over 5 years and both baseline clinical cognitive assessment scale scores and their longitudinal changes. Results: Linear regression analysis of baseline data revealed that baseline Montreal Cognitive Assessment (MoCA) scores were negatively correlated with Supine SBP-CV (β = −4.351, P = 0.037) and Supine SBP-SD (β = −0.034, P = 0.034). Baseline Symbol Digit Modality Test (SDMT) scores were negatively correlated with Supine DBP-SD (β = −0.194, P = 0.046), Standing DBP-CV (β = −14.544, P = 0.042), Supine SBP-SD (β = −0.131, P = 0.026), and Supine SBP-CV (β = −18.737, P = 0.016). No significant linear correlation was found between baseline Letter Number Sequencing (LNS) scores and blood pressure variability. Linear mixed-effects model analysis showed that in MoCA scores, greater variability in Supine SBP-SD (β = −0.010, P = 0.020), Supine SBP-CV (β = −1.147, P = 0.042), Standing SBP-CV (β = −1.052, P = 0.045), and Standing DBP-CV (β = −1.082, P = 0.039) was associated with a more significant decline in MoCA scores over time. For LNS scores, increases in Supine SBP-SD (β = −0.009, P = 0.013), Supine SBP-CV (β = −1.080, P = 0.035), Standing SBP-SD (β = −0.009, P = 0.018), Standing SBP-CV (β = −1.177, P = 0.015), Standing DBP-CV (β = −1.023, P = 0.031), and Standing DBP-SD (β = −0.013, P = 0.042) were associated with a faster decline in LNS scores. For SDMT scores, increases in Standing DBP-CV (β = −4.226, P = 0.011) and Standing SBP-CV (β = −4.304, P = 0.011) were associated with greater decline in SDMT scores. Conclusion: For patients with Parkinson’s disease, blood pressure variability is associated with cognition. The greater the fluctuation of both systolic and diastolic blood pressure, the more impairment in cognitive function.
文章引用:陈舒琼, 闫慧, 王誉静, 于新娟, 王新. 帕金森病患者的血压变异性与认知功能的关系[J]. 临床医学进展, 2026, 16(2): 2878-2892. https://doi.org/10.12677/acm.2026.162700

参考文献

[1] Jankovic, J. (2008) Parkinson’s Disease: Clinical Features and Diagnosis. Journal of Neurology, Neurosurgery & Psychiatry, 79, 368-376. [Google Scholar] [CrossRef] [PubMed]
[2] Zhang, Z., Roman, G., Hong, Z., Wu, C., Qu, Q., Huang, J., et al. (2005) Parkinson’s Disease in China: Prevalence in Beijing, Xian, and Shanghai. The Lancet, 365, 595-597. [Google Scholar] [CrossRef] [PubMed]
[3] Li, G., Ma, J., Cui, S., He, Y., Xiao, Q., Liu, J., et al. (2019) Parkinson’s Disease in China: A Forty-Year Growing Track of Bedside Work. Translational Neurodegeneration, 8, Article No. 22. [Google Scholar] [CrossRef] [PubMed]
[4] Svenningsson, P., Westman, E., Ballard, C. and Aarsland, D. (2012) Cognitive Impairment in Patients with Parkinson’s Disease: Diagnosis, Biomarkers, and Treatment. The Lancet Neurology, 11, 697-707. [Google Scholar] [CrossRef] [PubMed]
[5] Aarsland, D., Creese, B., Politis, M., Chaudhuri, K.R., ffytche, D.H., Weintraub, D., et al. (2017) Cognitive Decline in Parkinson Disease. Nature Reviews Neurology, 13, 217-231. [Google Scholar] [CrossRef] [PubMed]
[6] 李丽霞, 连滕宏, 左丽君, 等. 血压变异性与帕金森病患者认知功能的关系[J]. 中国神经免疫学和神经病学杂志, 2020, 27(6): 448-452.
[7] Chen, Z., Li, G. and Liu, J. (2020) Autonomic Dysfunction in Parkinson’s Disease: Implications for Pathophysiology, Diagnosis, and Treatment. Neurobiology of Disease, 134, Article 104700. [Google Scholar] [CrossRef] [PubMed]
[8] Parati, G., Stergiou, G.S., Dolan, E. and Bilo, G. (2018) Blood Pressure Variability: Clinical Relevance and Application. The Journal of Clinical Hypertension, 20, 1133-1137. [Google Scholar] [CrossRef] [PubMed]
[9] Xiao, Y., Yang, T., Zhang, L., Wei, Q., Ou, R., Hou, Y., et al. (2023) Association between the Blood Pressure Variability and Cognitive Decline in Parkinson’s Disease. Brain and Behavior, 13, e3319. [Google Scholar] [CrossRef] [PubMed]
[10] Chiu, T., Yeh, J., Huang, C., Chiang, C., Sung, S., Chen, C., et al. (2021) Blood Pressure Variability and Cognitive Dysfunction: A Systematic Review and Meta‐Analysis of Longitudinal Cohort Studies. The Journal of Clinical Hypertension, 23, 1463-1482. [Google Scholar] [CrossRef] [PubMed]
[11] Aborageh, M., Hähnel, T., Martins Conde, P., Klucken, J. and Fröhlich, H. (2025) Predicting Dementia in People with Parkinson’s Disease. npj Parkinsons Disease, 11, Article No. 126. [Google Scholar] [CrossRef] [PubMed]
[12] 段文君, 李怡芳, 栗原博, 等. 帕金森病理机制常谈常新: 多巴胺能神经的氧化性死亡——Ferroptosis和Oxytosis [J]. 世界科学技术-中医药现代化, 2018, 20(6): 823-833.
[13] Pierzchlińska, A., Kwaśniak-Butowska, M., Sławek, J., Droździk, M. and Białecka, M. (2021) Arterial Blood Pressure Variability and Other Vascular Factors Contribution to the Cognitive Decline in Parkinson’s Disease. Molecules, 26, Article 1523. [Google Scholar] [CrossRef] [PubMed]
[14] Webb, A.J., Lawson, A., Mazzucco, S., Li, L. and Rothwell, P.M. (2021) Age and Sex Distribution of Beat-to-Beat Blood Pressure Variability after Transient Ischemic Attack and Minor Stroke: A Population-Based Study. International Journal of Stroke, 16, 683-691. [Google Scholar] [CrossRef] [PubMed]
[15] 贺琼逸, 张海涛. 老年人降压过程中血压变异性的临床研究进展[J]. 疑难病杂志, 2022, 21(12): 1316-1319.
[16] Parati, G., Ochoa, J.E., Lombardi, C. and Bilo, G. (2015) Blood Pressure Variability: Assessment, Predictive Value, and Potential as a Therapeutic Target. Current Hypertension Reports, 17, Article No. 537. [Google Scholar] [CrossRef] [PubMed]
[17] McAlister, F.A., Lethebe, B.C., Leung, A.A., Padwal, R.S. and Williamson, T. (2021) Visit-to-Visit Blood Pressure Variability Is Common in Primary Care Patients: Retrospective Cohort Study of 221,803 Adults. PLOS ONE, 16, e0248362. [Google Scholar] [CrossRef] [PubMed]
[18] Poewe, W., Gauthier, S., Aarsland, D., Leverenz, J.B., Barone, P., Weintraub, D., et al. (2008) Diagnosis and Management of Parkinson’s Disease Dementia. International Journal of Clinical Practice, 62, 1581-1587. [Google Scholar] [CrossRef] [PubMed]
[19] Li, C., Ma, Y., Hua, R., Yang, Z., Zhong, B., Wang, H., et al. (2021) Dose-Response Relationship between Long-Term Blood Pressure Variability and Cognitive Decline. Stroke, 52, 3249-3257. [Google Scholar] [CrossRef] [PubMed]
[20] Aarsland, D., Andersen, K., Larsen, J.P., Lolk, A., Nielsen, H. and Kragh-Sørensen, P. (2001) Risk of Dementia in Parkinson’s Disease: A Community-Based, Prospective Study. Neurology, 56, 730-736. [Google Scholar] [CrossRef] [PubMed]
[21] Gutteridge, D.S., Tully, P.J., Ghezzi, E.S., Jamadar, S., Smith, A.E., Commerford, T., et al. (2022) Blood Pressure Variability and Structural Brain Changes: A Systematic Review. Journal of Hypertension, 40, 1060-1070. [Google Scholar] [CrossRef] [PubMed]
[22] 王金鹏, 彭桂芳, 王晓丽. 老年高血压患者血压变异性与轻度认知功能障碍的关系研究[J]. 中华老年心脑血管病杂志, 2023, 25(9): 988-890.
[23] Dadar, M., Fereshtehnejad, S., Zeighami, Y., Dagher, A., Postuma, R.B. and Collins, D.L. (2020) White Matter Hyperintensities Mediate Impact of Dysautonomia on Cognition in Parkinson’s Disease. Movement Disorders Clinical Practice, 7, 639-647. [Google Scholar] [CrossRef] [PubMed]
[24] Rajeev, V., Fann, D.Y., Dinh, Q.N., Kim, H.A., De Silva, T.M., Lai, M.K.P., et al. (2022) Pathophysiology of Blood Brain Barrier Dysfunction during Chronic Cerebral Hypoperfusion in Vascular Cognitive Impairment. Theranostics, 12, 1639-1658. [Google Scholar] [CrossRef] [PubMed]
[25] Zhu, K., van Hilten, J.J. and Marinus, J. (2014) Predictors of Dementia in Parkinson’s Disease; Findings from a 5-Year Prospective Study Using the SCOPA-COG. Parkinsonism & Related Disorders, 20, 980-985. [Google Scholar] [CrossRef] [PubMed]