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Jiang X, Tan H, Ren H, Zhou H, Chen J, Wang Z, Guo Y, Zhou J. Clinical and physiological risk factors contributing to the restricted mobility in older adults: a longitudinal analysis. BMC Geriatr 2024; 24:630. [PMID: 39048949 PMCID: PMC11267748 DOI: 10.1186/s12877-024-05230-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 07/17/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Mobility limitations (e.g., using wheelchair) have been closely linked to diminished functional independence and quality of life in older adults. The regulation of mobility is pertaining to multiple neurophysiologic and sociodemographic factors. We here aimed to characterize the relationships of these factors to the risk of restricted mobility in older adults. METHODS In this longitudinal study, 668 older adults with intact mobility at baseline completed the baseline assessments of clinical characteristics, cognitive function, sleep quality, activities of daily living (ADL), walking performance, beat-to-beat blood pressure, and structural MRI of the brain. Then 506 of them (mean age = 70.7 ± 7.5 years) responded to the follow-up interview on the mobility limitation (as defined by if using wheelchair, cane, or walkers, or being disabled and lying on the bed) after 18 ± 3.5 months. Logistic regression analyses were performed to examine the relationships between the baseline characteristics and the follow-up mobility restriction. RESULTS At baseline, compared to intact-mobility group (n = 475), restricted-mobility group (n = 31) were older, with lower score of ADL and the Montreal Cognitive Assessment (MoCA), greater score of Pittsburgh Sleep Quality Index (PSQI), poorer cardio- and cerebral vascular function, and slower walking speeds (ps < 0.05). The logistic regression analysis demonstrated that participants who were with history of falls, uncontrolled-hypertension, and/or greater Fazekas scale (odds ratios (ORs):1.3 ~ 13.9, 95% confidence intervals (CIs) = 1.1 ~ 328.2), walked slower, and/or with lower ADL score (ORs: 0.0026 ~ 0.9; 95%CI: 0.0001 ~ 0.99) at baseline, would have significantly greater risk of restricted mobility (p < 0.05; VIFs = 1.2 ~ 1.9). CONCLUSIONS These findings provide novel profile of potential risk factors, including vascular characteristics, psycho-cognitive and motor performance, for the development of restricted mobility in near future in older adults, ultimately helping the design of appropriate clinical and rehabilitative programs for mobility in this population.
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Affiliation(s)
- Xin Jiang
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China.
| | - Huiying Tan
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
| | - Huixia Ren
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Huiting Zhou
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Jingmei Chen
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Zhen Wang
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yi Guo
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China.
- Department of Neurology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China.
| | - Junhong Zhou
- Hebrew SeniorLife, Hinda and Arthur Marcus Institute for Aging Research, Roslindale, MA, USA
- Harvard Medical School, Boston, MA, USA
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Huang WQ, Lin Q, Tzeng CM. Leukoaraiosis: Epidemiology, Imaging, Risk Factors, and Management of Age-Related Cerebral White Matter Hyperintensities. J Stroke 2024; 26:131-163. [PMID: 38836265 PMCID: PMC11164597 DOI: 10.5853/jos.2023.02719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 01/15/2024] [Indexed: 06/06/2024] Open
Abstract
Leukoaraiosis (LA) manifests as cerebral white matter hyperintensities on T2-weighted magnetic resonance imaging scans and corresponds to white matter lesions or abnormalities in brain tissue. Clinically, it is generally detected in the early 40s and is highly prevalent globally in individuals aged >60 years. From the imaging perspective, LA can present as several heterogeneous forms, including punctate and patchy lesions in deep or subcortical white matter; lesions with periventricular caps, a pencil-thin lining, and smooth halo; as well as irregular lesions, which are not always benign. Given its potential of having deleterious effects on normal brain function and the resulting increase in public health burden, considerable effort has been focused on investigating the associations between various risk factors and LA risk, and developing its associated clinical interventions. However, study results have been inconsistent, most likely due to potential differences in study designs, neuroimaging methods, and sample sizes as well as the inherent neuroimaging heterogeneity and multi-factorial nature of LA. In this article, we provided an overview of LA and summarized the current knowledge regarding its epidemiology, neuroimaging classification, pathological characteristics, risk factors, and potential intervention strategies.
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Affiliation(s)
- Wen-Qing Huang
- Department of Central Laboratory, Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Lin
- Department of Neurology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Xiamen Clinical Research Center for Neurological Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- Fujian Provincial Clinical Research Center for Brain Diseases, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
- The Third Clinical College, Fujian Medical University, Fuzhou, Fujian, China
| | - Chi-Meng Tzeng
- Translational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, China
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Jiang X, Mang X, Zhou H, Chen J, Tan H, Ren H, Huang B, Zhong L, Lipsitz LA, Manor B, Guo Y, Zhou J. The physiologic complexity of beat-to-beat blood pressure is associated with age-related alterations in blood pressure regulation. Aging Cell 2024; 23:e13943. [PMID: 37615223 PMCID: PMC10776119 DOI: 10.1111/acel.13943] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/12/2023] [Accepted: 07/14/2023] [Indexed: 08/25/2023] Open
Abstract
The fluctuations in resting-state beat-to-beat blood pressure (BP) are physiologically complex, and the degree of such BP complexity is believed to reflect the multiscale regulation of this critical physiologic process. Hypertension (HTN), one common age-related condition, is associated with altered BP regulation and diminished system responsiveness to perturbations such as orthostatic change. We thus aimed to characterize the impact of HTN on resting-state BP complexity, as well as the relationship between BP complexity and both adaptive capacity and underlying vascular characteristics. We recruited 392 participants (age: 60-91 years), including 144 that were normotensive and 248 with HTN (140 controlled- and 108 uncontrolled-HTN). Participants completed a 10-min continuous finger BP recording during supine rest, then underwent measures of lying-to-standing BP change, arterial stiffness (i.e., brachial-ankle pulse wave velocity), and endothelial function (i.e., flow-mediated vasodilation). The complexity of supine beat-to-beat systolic (SBP) and diastolic (DBP) BP was quantified using multiscale entropy. Thirty participants with HTN (16 controlled-HTN and 14 uncontrolled-HTN) exhibited orthostatic hypotension. SBP and DBP complexity was greatest in normotensive participants, lower in those with controlled-HTN, and lowest in those in uncontrolled-HTN (p < 0.0005). Lower SBP and DBP complexity correlated with greater lying-to-standing decrease in SBP and DBP level (β = -0.33 to -0.19, p < 0.01), greater arterial stiffness (β = -0.35 to -0.18, p < 0.01), and worse endothelial function (β = 0.17-0.22, p < 0.01), both across all participants and within the control- and uncontrolled-HTN groups. These results suggest that in older adults, BP complexity may capture the integrity of multiple interacting physiologic mechanisms that regulate BP and are important to cardiovascular health.
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Affiliation(s)
- Xin Jiang
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Xiaoying Mang
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Huiting Zhou
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Jingmei Chen
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Huiying Tan
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
| | - Huixia Ren
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Baofeng Huang
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Lilian Zhong
- Department of GeriatricsShenzhen People's HospitalShenzhenChina
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
| | - Lewis A. Lipsitz
- Hinda and Arthur Marcus Institute for Aging ResearchHebrew SeniorLifeBostonMassachusettsUSA
- Division of GerontologyBeth Israel Deaconess Medical CenterBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
| | - Brad Manor
- Hinda and Arthur Marcus Institute for Aging ResearchHebrew SeniorLifeBostonMassachusettsUSA
- Division of GerontologyBeth Israel Deaconess Medical CenterBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
| | - Yi Guo
- The Second Clinical Medical CollegeJinan UniversityShenzhenChina
- The First Affiliated HospitalSouthern University of Science and TechnologyShenzhenChina
- Department of NeurologyShenzhen People's HospitalShenzhenChina
- Shenzhen Bay LaboratoryShenzhenChina
| | - Junhong Zhou
- Hinda and Arthur Marcus Institute for Aging ResearchHebrew SeniorLifeBostonMassachusettsUSA
- Division of GerontologyBeth Israel Deaconess Medical CenterBostonMassachusettsUSA
- Harvard Medical SchoolBostonMassachusettsUSA
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Jiang X, Zhou J, Yu C, Chen W, Huang B, Chen Y, Zhong L, Guo Y, Geng Q, Cai Y. The alterations in multiple neurophysiological procedures are associated with frailty phenotype in older adults. Front Aging Neurosci 2023; 15:1063322. [PMID: 37056686 PMCID: PMC10086197 DOI: 10.3389/fnagi.2023.1063322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 03/06/2023] [Indexed: 03/30/2023] Open
Abstract
BackgroundOlder adults oftentimes suffer from the conditions in multiple physiologic systems, interfering with their daily function and thus contributing to physical frailty. The contributions of such multisystem conditions to physical frailty have not been well characterized.MethodsIn this study, 442 (mean age = 71.4 ± 8.1 years, 235 women) participants completed the assessment of frailty syndromes, including unintentional weight loss, exhaustion, slowness, low activity, and weakness, and were categorized into frail (≥3 conditions), pre-frail (1 or 2 conditions), and robust (no condition) status. Multisystem conditions including cardiovascular diseases, vascular function, hypertension, diabetes, sleep disorders, sarcopenia, cognitive impairment, and chronic pain were assessed. Structural equation modeling examined the interrelationships between these conditions and their associations with frailty syndromes.ResultsFifty (11.3%) participants were frail, 212 (48.0%) were pre-frail, and 180 (40.7%) were robust. We observed that worse vascular function was directly associated with higher risk of slowness [standardized coefficient (SC) = −0.419, p < 0.001], weakness (SC = −0.367, p < 0.001), and exhaustion (SC = −0.347, p < 0.001). Sarcopenia was associated with both slowness (SC = 0.132, p = 0.011) and weakness (SC = 0.217, p = 0.001). Chronic pain, poor sleep quality, and cognitive impairment were associated with exhaustion (SC = 0.263, p < 0.001; SC = 0.143, p = 0.016; SC = 0.178, p = 0.004, respectively). The multinomial logistic regression showed that greater number of these conditions were associated with increased probability of being frail (odds ratio>1.23, p < 0.032).ConclusionThese findings in this pilot study provide novel insights into how multisystem conditions are associated with each other and with frailty in older adults. Future longitudinal studies are warranted to explore how the changes in these health conditions alter frailty status.
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Affiliation(s)
- Xin Jiang
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- *Correspondence: Xin Jiang,
| | - Junhong Zhou
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States
- Division of Gerontology, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
| | - Chengyuan Yu
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Wenbo Chen
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Baofeng Huang
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yurong Chen
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
| | - Lilian Zhong
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yi Guo
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Department of Neurology, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- Shenzhen Bay Laboratory, Shenzhen, Guangdong, China
- Yi Guo,
| | - Qingshan Geng
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, China
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Qingshan Geng,
| | - Yurun Cai
- Department of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA, United States
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Jiang X, Cai Y, Wu X, Huang B, Chen Y, Zhong L, Gao X, Guo Y, Zhou J. The Multiscale Dynamics of Beat-to-Beat Blood Pressure Fluctuation Links to Functions in Older Adults. Front Cardiovasc Med 2022; 9:833125. [PMID: 35295251 PMCID: PMC8920549 DOI: 10.3389/fcvm.2022.833125] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/24/2022] [Indexed: 12/04/2022] Open
Abstract
Background The blood pressure (BP) is regulated by multiple neurophysiologic elements over multiple temporal scales. The multiscale dynamics of continuous beat-to-beat BP series, which can be characterized by “BP complexity”, may, thus, capture the subtle changes of those elements, and be associated with the level of functional status in older adults. We aimed to characterize the relationships between BP complexity and several important functions in older adults and to understand the underlying factors contributing to BP complexity. Method A total of 400 older adults completed a series of clinical and functional assessments, a finger BP assessment of at least 10 min, and blood sample and vessel function tests. Their hypertensive characteristics, cognitive function, mobility, functional independence, blood composition, arterial stiffness, and endothelial function were assessed. The complexity of systolic (SBP) and diastolic (DBP) BP series was measured using multiscale entropy. Results We observed that lower SBP and DBP complexity was significantly associated with poorer functional independence (β > 0.17, p < 0.005), cognitive function (β > 0.45, p = 0.01), and diminished mobility (β < −0.57, p < 0.003). Greater arterial stiffness (β < −0.48, p = 0.02), decreased endothelial function (β > 0.42, p < 0.03), and excessed level of blood lipids (p < 0.03) were the main contributors to BP complexity. Conclusion Blood pressure complexity is closely associated with the level of multiple functional statuses and cardiovascular health in older adults with and without hypertension, providing novel insights into the physiology underlying BP regulation. The findings suggest that this BP complexity metric would serve as a novel marker to help characterize and manage the functionalities in older adults.
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Affiliation(s)
- Xin Jiang
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, China
- The Second Clinical Medical College, Jinan University, Shenzhen, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Xin Jiang
| | - Yurun Cai
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Xiaoyan Wu
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, China
- The Second Clinical Medical College, Jinan University, Shenzhen, China
| | - Baofeng Huang
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, China
- The Second Clinical Medical College, Jinan University, Shenzhen, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
| | - Yurong Chen
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, China
| | - Lilian Zhong
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, China
- The Second Clinical Medical College, Jinan University, Shenzhen, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
| | - Xia Gao
- Department of Geriatrics, Shenzhen People's Hospital, Shenzhen, China
- The Second Clinical Medical College, Jinan University, Shenzhen, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
| | - Yi Guo
- The Second Clinical Medical College, Jinan University, Shenzhen, China
- The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
- Department of Neurology, Shenzhen People's Hospital, Shenzhen, China
- Shenzhen Bay Laboratory, Shenzhen, China
- Yi Guo
| | - Junhong Zhou
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, MA, United States
- Division of Gerontology, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Harvard Medical School, Boston, MA, United States
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Jiang X, Cai Y, Wu X, Huang B, Chen Y, Zhong L, Gao X, Guo Y, Zhou J. The Multiscale Dynamics of Beat-to-Beat Blood Pressure Fluctuation Mediated the Relationship Between Frailty and Arterial Stiffness in Older Adults. J Gerontol A Biol Sci Med Sci 2022; 77:2482-2488. [PMID: 35143675 PMCID: PMC9799215 DOI: 10.1093/gerona/glac035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Beat-to-beat blood pressure (BP) is an important cardiovascular output and regulated by neurophysiological elements over multiple temporal scales. The multiscale dynamics of beat-to-beat BP fluctuation can be characterized by "BP complexity" and has been linked to age-related adverse health outcomes. We here aimed to examine whether BP complexity mediates the association between arterial stiffness and frailty. METHOD This cross-sectional study was completed between January and October 2021. A total of 350 older adults completed assessments for frailty, arterial stiffness (ie, average brachial-ankle pulse wave velocity), and beat-to-beat finger BP. The complexity of beat-to-beat systolic blood pressure (SBP) and diastolic blood pressure (DBP) BP series was measured using multiscale entropy. The relationships between frailty, BP complexity, and arterial stiffness were examined using analysis of variance and linear regression models. The effects of BP complexity on the association between arterial stiffness and frailty were examined using mediation analyses. RESULTS Compared with non-frail, prefrail, and frail groups had significantly elevated lower SBP and DBP complexity (F > 11, p < .001) and greater arterial stiffness (F = 16, p < .001). Greater arterial stiffness was associated with lower BP complexity (β < -0.42, p < .001). Beat-to-beat SBP and DBP complexity mediated the association between arterial stiffness and frailty (indirect effects >0.28), accounting for at least 47% of its total effects on frailty (mediated proportion: SBP: 50%, DBP: 47%). CONCLUSION This study demonstrates the association between BP complexity and frailty in older adults, and BP complexity mediates the association between arterial stiffness and frailty, suggesting that this metric would serve as a marker to help characterize important functions in the older adults.
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Affiliation(s)
- Xin Jiang
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, People’s Republic of China,The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, People’s Republic of China,The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, People’s Republic of China
| | - Yurun Cai
- Department of Health and Community Systems, University of Pittsburgh School of Nursing, Pittsburgh, PA, USA,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Xiaoyan Wu
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, People’s Republic of China,The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, People’s Republic of China
| | - Baofeng Huang
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, People’s Republic of China,The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, People’s Republic of China,The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, People’s Republic of China
| | - Yurong Chen
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, People’s Republic of China
| | - Lilian Zhong
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, People’s Republic of China,The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, People’s Republic of China,The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, People’s Republic of China
| | - Xia Gao
- Department of Geriatrics, Shenzhen People’s Hospital, Shenzhen, Guangdong, People’s Republic of China,The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, People’s Republic of China,The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, People’s Republic of China
| | - Yi Guo
- Address correspondence to: Yi Guo, MD, Department of Neurology, Shenzhen People’s Hospital, 1017 Dongmen Rd N, Luohu District, Shenzhen, Guangdong 518020, People’s Republic of China. E-mail:
| | - Junhong Zhou
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Roslindale, Maryland, USA,Division of Gerontology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA,Harvard Medical School, Boston, Massachusetts, USA
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Lee YK, Mazzucco S, Rothwell PM, Payne SJ, Webb AJS. Blood Pressure Complexity Discriminates Pathological Beat-to-Beat Variability as a Marker of Vascular Aging. J Am Heart Assoc 2022; 11:e022865. [PMID: 35043657 PMCID: PMC9238484 DOI: 10.1161/jaha.121.022865] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Background Beat‐to‐beat blood pressure variability (BPV) is associated with an increased risk of stroke but can be driven by both healthy physiological processes and failure of compensatory mechanisms. Blood pressure (BP) complexity measures structured, organized variations in BP, as opposed to random fluctuations, and its reduction may therefore identify pathological beat‐to‐beat BPV. Methods and Results In the prospective, population‐based OXVASC (Oxford Vascular Study) Phenotyped Cohort with transient ischemic attack or minor stroke, patients underwent at least 5 minutes of noninvasive beat‐to‐beat monitoring of BP (Finometer) and ECG to derive the following: BPV (coefficient of variation) and complexity (modified multiscale entropy) of systolic BP and diastolic BP, heart rate variability (SD of R‐R intervals), and baroreflex sensitivity (BRS; Welch's method), in low‐ (0.04–0.15 Hz) and high‐frequency (0.15–0.4 Hz) bands. Associations between BPV or BP complexity with autonomic indexes and arterial stiffness were determined (linear regression), unadjusted, and adjusted for age, sex, and cardiovascular risk factors. In 908 consecutive, consenting patients, BP complexity was inversely correlated with BPV coefficient of variation (P<0.001) and was similarly reduced in patients with hypertension or diabetes (P<0.001). However, although BPV coefficient of variation had a U‐shaped relationship with age, BP complexity fell systematically across age quintiles (quintile 1: 15.1 [14.0–16.1] versus quintile 5: 13.8 [12.4–15.1]) and was correlated with markers of autonomic dysfunction (heart rate variability SD of R‐R intervals: r = 0.20; BRS low frequency: 0.19; BRS high frequency: 0.26) and arterial stiffness (pulse wave velocity: −0.21; all P<0.001), even after adjustment for clinical variables (heart rate variability SD of R‐R intervals: 0.12; BRS low frequency and BRS high frequency: 0.13 and 0.17; and pulse wave velocity: −0.07; all P<0.05). Conclusions Loss of BP complexity discriminates BPV because of pathological failure of compensatory mechanisms and may represent a less confounded and potentially modifiable risk factor for stroke.
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Affiliation(s)
- Yun-Kai Lee
- Institute of Biomedical Engineering Department of Engineering Science University of Oxford UK
| | - Sara Mazzucco
- Wolfson Centre for Prevention of Stroke and DementiaNuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalUniversity of Oxford UK
| | - Peter M Rothwell
- Wolfson Centre for Prevention of Stroke and DementiaNuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalUniversity of Oxford UK
| | - Stephen J Payne
- Institute of Biomedical Engineering Department of Engineering Science University of Oxford UK
| | - Alastair J S Webb
- Wolfson Centre for Prevention of Stroke and DementiaNuffield Department of Clinical NeurosciencesJohn Radcliffe HospitalUniversity of Oxford UK
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Li Q, Guo Z, Liu F, Liu Y, Bao D, Zhou J. The Effects of Altitude-related Hypoxia Exposure on the Multiscale Dynamics of Blood Pressure Fluctuation During Sleep: The Observation from a Pilot Study. Nat Sci Sleep 2021; 13:1147-1155. [PMID: 34290536 PMCID: PMC8289331 DOI: 10.2147/nss.s319031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 06/09/2021] [Indexed: 12/04/2022] Open
Abstract
PURPOSE The purpose exposure to hypoxia in high altitudes severely impairs the sleep quality and the related cardiovascular regulation, including the blood pressure (BP) regulation. BP regulation depends upon the continuous interaction of components over multiple temporal scales. As such, the dynamics of BP fluctuation are complex, and BP complexity has been linked to several pathological events. However, the effects of the exposure to hypoxia on BP complexity during sleep remain unknown. METHODS Twenty-five younger men naïve to high-altitude sleep (apnea severity as assessed by hypoxia apnea index (AHI): normal=8; moderate=9; severe=8) completed one nocturnal sleep under each of the three altitudes: 0 (ie, baseline), 2000, and 4000 m. The sleep characteristics and oxygen saturation (ie, SpO2) were assessed using polysomnography (PSG). The beat-to-beat BP fluctuation was recorded using a finger-blood-pressure sensor. Multiscale entropy (MSE) was used to characterize the complexity of systolic (SBP) and diastolic (DBP) BP fluctuations, and lower MSE reflected lower complexity. RESULTS Compared to 0-m condition, SBP (p=0.0003) and DBP (F=12.1, p=0.0002) complexity, SpO2 (p<0.0001) and REM ratio (p<0.0090) were decreased, AHI was increased (p=0.0004) in 2000-m and even more in 4000-m conditions. In addition, lower BP complexity was associated with greater AHI (r=-0.66~0.52, p=0.0010), lower SpO2 (r=0.48~0.51, p=0.0100~0.0200) and lower REM ratio (r=0.48~0.52, p=0.0200). Participants with greater percent reduction in BP complexity between altitudes had greater percent reduction in REM ratio and SpO2 (r=0.38~0.45, p=0.0090~0.0200), after adjustment for age, BMI, baseline apnea and altitude. CONCLUSION These results suggested that the characterization of BP complexity may provide novel insights into the underlying mechanisms through which the exposure to hypoxia affects cardiovascular health during sleep, as well as sleep quality. This BP complexity may serve as a novel marker to help the management of cardiovascular health and sleep quality in high-altitude living.
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Affiliation(s)
- Qian Li
- Sports Coaching College, Beijing Sport University, Beijing, People's Republic of China
| | - Zhenxiang Guo
- Sports Coaching College, Beijing Sport University, Beijing, People's Republic of China
| | - Fuzheng Liu
- School of Medical Humanities, Capital Medical University, Beijing, People's Republic of China
| | - Ye Liu
- National Team Performance Training Center, National Sports Training Center, General Administration of Sport of China, Beijing, People's Republic of China
| | - Dapeng Bao
- China Institute of Sport and Health Science, Beijing Sport University, Beijing, People's Republic of China
| | - Junhong Zhou
- Hebrew SeniorLife Hinda and Arthur Marcus Institute for Aging Research, Harvard Medical School, Boston, MA, 02131, USA
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