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Melgarejo JD, Maestre GE, Gutierrez J, Thijs L, Mena LJ, Gaona C, Leendertz R, Lee JH, Chávez CA, Calmon G, Silva E, Wei D, Terwilliger JD, Vanassche T, Janssens S, Verhamme P, Bos D, Zhang ZY. Subclinical Magnetic Resonance Imaging Markers of Cerebral Small Vessel Disease in Relation to Office and Ambulatory Blood Pressure Measurements. Front Neurol 2022; 13:908260. [PMID: 35911921 PMCID: PMC9330602 DOI: 10.3389/fneur.2022.908260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundTwenty-four-hour and nighttime blood pressure (BP) levels are more strongly associated with cardiovascular risk than office or daytime BP measurements. However, it remains undocumented which of the office and ambulatory BP measurements have the strongest association and predictive information in relation to the presence of type I, or arteriolosclerosis type, cerebral small vessel diseases (CSVD).MethodsA subset of 429 participants from the Maracaibo Aging Study [aged ≥40 years (women, 73.7%; mean age, 59.3 years)] underwent baseline brain magnetic resonance imaging (MRI) to visualize CSVD, which included log-transformed white matter hyperintensities (log-WMH) volume and the presence (yes/no) of lacunes, cerebral microbleeds (CMB), or enlarged perivascular spaces (EPVS). Linear and logistic regression models were applied to examine the association between CSVD and each +10-mmHg increment in the office and ambulatory systolic BP measurements. Improvement in the fit of nested logistic models was assessed by the log-likelihood ratio and the generalized R2 statistic.ResultsOffice and ambulatory systolic BP measurements were related to log-WMH (β-correlation coefficients ≥0.08; P < 0.001). Lacunes and CMB were only associated with ambulatory systolic BP measurements (odds ratios [OR] ranged from 1.31 [95% confidence interval, 1.10-1.55] to 1.46 [1.17–1.84], P ≤ 0.003). Accounted for daytime systolic BP, both the 24-h (β-correlation, 0.170) and nighttime (β-correlation, 0.038) systolic BP measurements remained related to log-WMH. When accounted for 24-h or daytime systolic BP levels, the nighttime systolic BP retained the significant association with lacunes (ORs, 1.05–1.06; 95% CIs, ≥1.01 to ≤ 1.13), whereas the 24-h and daytime systolic BP levels were not associated with lacunes after adjustments for nighttime systolic BP (ORs, ≤ 0.88; 95% CI, ≥0.77 to ≤ 1.14). On top of covariables and office systolic BP, ambulatory systolic BP measurements significantly improved model performance (1.05% ≥ R2 ≤ 3.82%). Compared to 24-h and daytime systolic BP, nighttime systolic BP had the strongest improvement in the model performance; for WMH (1.46 vs. 1.05%) and lacunes (3.06 vs. ≤ 2.05%).ConclusionsTwenty-four-hour and nighttime systolic BP were the more robust BP measurements associated with CSVD, but the nighttime systolic BP level had the strongest association. Controlling ambulatory BP levels might provide additional improvement in the prevention of CSVD.
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Affiliation(s)
- Jesus D. Melgarejo
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Studies Coordinating Center, KU Leuven, Leuven, Belgium
- Laboratory of Neurosciences, Faculty of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Gladys E. Maestre
- Laboratory of Neurosciences, Faculty of Medicine, University of Zulia, Maracaibo, Venezuela
- Department of Neurosciences and Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, United States
- Alzheimer's Disease Resource Center for Minority Aging Research, University of Texas Rio Grande Valley, Brownsville, TX, United States
- South Texas ADRC, Laredo, TX, United States
| | - Jose Gutierrez
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, United States
| | - Lutgarde Thijs
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Studies Coordinating Center, KU Leuven, Leuven, Belgium
| | - Luis J. Mena
- Department of Informatics, Universidad Politécnica de Sinaloa, Mazatlán, Mexico
| | - Ciro Gaona
- Laboratory of Neurosciences, Faculty of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Reinier Leendertz
- Laboratory of Neurosciences, Faculty of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Joseph H. Lee
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain and the G.H. Sergievsky Center at Columbia University Medical Center, New York, NY, United States
- Departments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, United States
| | - Carlos A. Chávez
- Laboratory of Neurosciences, Faculty of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Gustavo Calmon
- Laboratory of Ambulatory Recordings, Cardiovascular Institute (IECLUZ), University of Zulia, Maracaibo, Venezuela
| | - Egle Silva
- Laboratory of Ambulatory Recordings, Cardiovascular Institute (IECLUZ), University of Zulia, Maracaibo, Venezuela
| | - Dongmei Wei
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Studies Coordinating Center, KU Leuven, Leuven, Belgium
| | - Joseph D. Terwilliger
- Department of Genetics and Development, Department of Psychiatry, and G.H. Sergievsky Center, Columbia University, New York, NY, United States
- Division of Medical Genetics, New York State Psychiatric Institute, New York, NY, United States
- Division of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Thomas Vanassche
- Center for Molecular and Vascular Biology, KU Leuven Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Stefan Janssens
- Division of Cardiology, Department of Internal Medicine, University Hospitals UZ Leuven, Leuven, Belgium
| | - Peter Verhamme
- Division of Cardiology, Department of Internal Medicine, University Hospitals UZ Leuven, Leuven, Belgium
| | - Daniel Bos
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, Netherlands
| | - Zhen-Yu Zhang
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, Studies Coordinating Center, KU Leuven, Leuven, Belgium
- *Correspondence: Zhen-Yu Zhang
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