1
|
Grande G, Li Y, Trevisan C, Rizzuto D, Kalpouzos G, Ding M, Laukka EJ, Bellander T, Fratiglioni L, Qiu C. Lung function in relation to brain aging and cognitive transitions in older adults: A population-based cohort study. Alzheimers Dement 2024. [PMID: 38970219 DOI: 10.1002/alz.14079] [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: 10/17/2023] [Revised: 04/27/2024] [Accepted: 05/29/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND We investigated the association of peak expiratory flow (PEF) with dementia; cognitive impairment, no dementia (CIND); and transition from CIND to dementia, and possible underlying neuropathological mechanisms. METHODS A population-based cohort of adults aged 60+ was followed over 15 years to detect dementia (Diagnostic and Statistical Manual of Mental Disorders, 4th edition criteria), CIND (assessed through a cognitive battery), and progression from CIND to dementia, in relation to baseline PEF observations. A subsample (n = 462) had 6-year follow-up data on brain magnetic resonance imaging markers of neurodegeneration and small vessel disease. RESULTS In fully adjusted models, poor PEF performance (< 10th vs. ≥ 80th percentile) was associated with increased hazards for dementia (hazard ratio [HR] = 1.89; 95% confidence interval [CI] = 1.23-2.92) and CIND (HR = 1.55; 95% CI = 1.01-2.38) and CIND progression to dementia, although not statistically significantly (HR = 2.44; 95% CI = 0.78-6.88). People with poor PEF also experienced the fastest ventricular enlargement (β coefficient = 0.67 mL/year; 95% CI = 0.13-1.21) and had the highest likelihood of developing lacunes (odds ratio = 5.05; 95% CI = 1.01-25.23). DISCUSSION Poor lung function contributes to cognitive deterioration possibly through accelerated brain atrophy and microvascular damage. HIGHLIGHTS Poor lung function increased the risk of dementia and mild cognitive impairment (MCI). Poor lung function accelerated the progression from MCI to dementia. Poor lung function was linked to brain microvascular damage and global brain atrophy.
Collapse
Affiliation(s)
- Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Centre, Stockholm, Sweden
| | - Yuanjing Li
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Caterina Trevisan
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Centre, Stockholm, Sweden
| | - Grégoria Kalpouzos
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Mozhu Ding
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Centre, Stockholm, Sweden
| | - Tom Bellander
- Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Centre, Stockholm, Sweden
| | - Chengxuan Qiu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| |
Collapse
|
2
|
Peng Z, Zhang HT, Wang G, Zhang J, Qian S, Zhao Y, Zhang R, Wang W. Cerebral neurovascular alterations in stable chronic obstructive pulmonary disease: a preliminary fMRI study. PeerJ 2022; 10:e14249. [PMID: 36405017 PMCID: PMC9671032 DOI: 10.7717/peerj.14249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose Cognitive impairment (CI) is very common in patients with chronic obstructive pulmonary disease (COPD). Cerebral structural and functional abnormalities have been reported in cognitively impaired patients with COPD, and the neurovascular coupling changes are rarely investigated. To address this issue, arterial spin labeling (ASL) and resting-state blood oxygenation level dependent (BOLD) fMRI techniques were used to determine whether any neurovascular changes in COPD patients. Methods Forty-five stable COPD patients and forty gender- and age-matched healthy controls were recruited. Furthermore, resting-state BOLD fMRI and ASL were acquired to calculate degree centrality (DC) and cerebral blood flow (CBF) respectively. The CBF-DC coupling and CBF/DC ratio were compared between the two groups. Results COPD patients showed abnormal CBF, DC and CBF/DC ratio in several regions. Moreover, lower CBF/DC ratio in the left lingual gyrus negatively correlated with naming scores, lower CBF/DC ratio in medial frontal cortex/temporal gyrus positively correlated with the Montreal Cognitive Assessment (MoCA), visuospatial/executive and delayed recall scores. Conclusion These findings may provide new potential insights into neuropathogenesis of cognition decline in stable COPD patients.
Collapse
Affiliation(s)
- Zhaohui Peng
- Department of Nuclear Medicine, Central Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China,Department of Medical Imaging, Changzheng Hospital, Shanghai, China
| | - Hong Tao Zhang
- Institute of Ophthalmology, Third Medical Center of PLA General Hospital, Beijing, China
| | - Gang Wang
- The Second Community Healthcare Service Center of Zhengzhou Road, Luoyang, Henan, China
| | - Juntao Zhang
- GE Healthcare, Precision Health Institution, Shanghai, China
| | - Shaowen Qian
- Department of Medical Imaging, Jinan Military General Hospital, Jinan, China
| | - Yajun Zhao
- Department of Medical Imaging, 71282 Hospital, Baoding, Hebei province, China
| | - Ruijie Zhang
- Department of Radiology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong Province, China
| | - Wei Wang
- Department of Medical Imaging, Changzheng Hospital, Shanghai, China,Department of Medical Imaging, 71282 Hospital, Baoding, Hebei province, China
| |
Collapse
|
3
|
You J, Zhang YR, Wang HF, Yang M, Feng JF, Yu JT, Cheng W. Development of a novel dementia risk prediction model in the general population: A large, longitudinal, population-based machine-learning study. EClinicalMedicine 2022; 53:101665. [PMID: 36187723 PMCID: PMC9519470 DOI: 10.1016/j.eclinm.2022.101665] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/29/2022] [Accepted: 08/31/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The existing dementia risk models are limited to known risk factors and traditional statistical methods. We aimed to employ machine learning (ML) to develop a novel dementia prediction model by leveraging a rich-phenotypic variable space of 366 features covering multiple domains of health-related data. METHODS In this longitudinal population-based cohort of the UK Biobank (UKB), 425,159 non-demented participants were enrolled from 22 recruitment centres across the UK between March 1, 2006 and October 31, 2010. We implemented a data-driven strategy to identify predictors from 366 candidate variables covering a comprehensive range of genetic and environmental factors and developed the ML model to predict incident dementia and Alzheimer's Disease (AD) within five, ten, and much longer years (median 11.9 [Interquartile range 11.2-12.5] years). FINDINGS During a follow-up of 5,023,337 person-years, 5287 and 2416 participants developed dementia and AD, respectively. A novel UKB dementia risk prediction (UKB-DRP) model comprising ten predictors including age, ApoE ε4, pairs matching time, leg fat percentage, number of medications taken, reaction time, peak expiratory flow, mother's age at death, long-standing illness, and mean corpuscular volume was established. Our prediction model was internally evaluated based on five-fold cross-validation on discrimination and calibration, and it was further compared with existing prediction scales. The UKB-DRP model can achieve high discriminative accuracy in dementia (AUC 0.848 ± 0.007) and even better in AD (AUC 0.862 ± 0.015). The model was well-calibrated (Hosmer-Lemeshow goodness-of-fit p-value = 0.92), and the predictive power was solid in different incidence time groups. More importantly, our model presented an apparent superiority over existing models like Cardiovascular Risk Factors, Aging, and Incidence of Dementia Risk Score (AUC 0.705 ± 0.008), the Dementia Risk Score (AUC 0.752 ± 0.007), and the Australian National University Alzheimer's Disease Risk Index (AUC 0.584 ± 0.017). The model was internally validated in the general population of European ancestry and White ethnicity; thus, further validation with independent datasets is necessary to confirm these findings. INTERPRETATION Our ML-based UKB-DRP model incorporated ten easily accessible predictors with solid predictive power for incident dementia and AD within five, ten, and much longer years, which can be used to identify individuals at high risk of dementia and AD in the general population. FUNDING This study was funded by grants from the Science and Technology Innovation 2030 Major Projects (2022ZD0211600), National Key R&D Program of China (2018YFC1312904, 2019YFA070950), National Natural Science Foundation of China (282071201, 81971032, 82071997), Shanghai Municipal Science and Technology Major Project (2018SHZDZX01), Research Start-up Fund of Huashan Hospital (2022QD002), Excellence 2025 Talent Cultivation Program at Fudan University (3030277001), Shanghai Rising-Star Program (21QA1408700), Medical Engineering Fund of Fudan University (yg2021-013), and the 111 Project (No. B18015).
Collapse
Affiliation(s)
- Jia You
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Hui-Fu Wang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Ming Yang
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China
- Corresponding authors at: Room 2316, Guanghua Building, East Main Wing, Fudan University, No. 220 Handan Road, Shanghai, 200433, China.
| | - Jin-Tai Yu
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Corresponding author at: Huashan Hospital, No. 12 Wulumuqi Zhong Road, Shanghai, 200040, China.
| | - Wei Cheng
- Department of Neurology, Huashan Hospital, Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Fudan ISTBI—ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China
- Corresponding authors at: Room 2316, Guanghua Building, East Main Wing, Fudan University, No. 220 Handan Road, Shanghai, 200433, China.
| |
Collapse
|
4
|
Scheiwiller PM, Furian M, Buergin A, Mayer LC, Schneider SR, Mademilov M, Lichtblau M, Muralt L, Sheraliev U, Sooronbaev TM, Ulrich S, Bloch KE. Visuomotor performance at high altitude in COPD patients. Randomized placebo-controlled trial of acetazolamide. Front Physiol 2022; 13:980755. [PMID: 36160864 PMCID: PMC9493049 DOI: 10.3389/fphys.2022.980755] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction: We evaluated whether exposure to high altitude impairs visuomotor learning in lowlanders with chronic obstructive pulmonary disease (COPD) and whether this can be prevented by acetazolamide treatment.Methods: 45 patients with COPD, living <800 m, FEV1 ≥40 to <80%predicted, were randomized to acetazolamide (375 mg/d) or placebo, administered 24h before and during a 2-day stay in a clinic at 3100 m. Visuomotor performance was evaluated with a validated, computer-assisted test (Motor-Task-Manager) at 760 m above sea level (baseline, before starting the study drug), within 4h after arrival at 3100 m and in the morning after one night at 3100 m. Main outcome was the directional error (DE) of cursor movements controlled by the participant via mouse on a computer screen during a target tracking task. Effects of high altitude and acetazolamide on DE during an adaptation phase, immediate recall and post-sleep recall were evaluated by regression analyses. www.ClinicalTrials.gov NCT03165890.Results: In 22 patients receiving placebo, DE at 3100 m increased during adaptation by mean 2.5°, 95%CI 2.2° to 2.7° (p < 0.001), during immediate recall by 5.3°, 4.6° to 6.1° (p < 0.001), and post-sleep recall by 5.8°, 5.0 to 6.7° (p < 0.001), vs. corresponding values at 760 m. In 23 participants receiving acetazolamide, corresponding DE were reduced by −0.3° (−0.6° to 0.1°, p = 0.120), −2.7° (−3.7° to −1.6°, p < 0.001) and −3.1° (−4.3° to −2.0°, p < 0.001), compared to placebo at 3100 m.Conclusion: Lowlanders with COPD travelling to 3100 m experienced altitude-induced impairments in immediate and post-sleep recall of a visuomotor task. Preventive acetazolamide treatment mitigated these undesirable effects.
Collapse
Affiliation(s)
- P. M. Scheiwiller
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - M. Furian
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - A. Buergin
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - L. C. Mayer
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - S. R. Schneider
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - M. Mademilov
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
- National Center for Cardiology and Internal Medicine, Department of Respiratory Medicine, Bishkek, Kyrgyz Republic
| | - M. Lichtblau
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - L. Muralt
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - U. Sheraliev
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
- National Center for Cardiology and Internal Medicine, Department of Respiratory Medicine, Bishkek, Kyrgyz Republic
| | - T. M. Sooronbaev
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
- National Center for Cardiology and Internal Medicine, Department of Respiratory Medicine, Bishkek, Kyrgyz Republic
| | - S. Ulrich
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
| | - K. E. Bloch
- University Hospital of Zurich, Department of Respiratory Medicine, Sleep Disorders Center, Zurich, Switzerland
- Swiss-Kyrgyz High Altitude Medicine and Research Initiative, Zurich, Switzerland, and Bishkek, Kyrgyz Republic
- *Correspondence: K. E. Bloch,
| |
Collapse
|
5
|
Frenzel S, Bis JC, Gudmundsson EF, O’Donnell A, Simino J, Yaqub A, Bartz TM, Brusselle GGO, Bülow R, DeCarli CS, Ewert R, Gharib SA, Ghosh S, Gireud-Goss M, Gottesman RF, Ikram MA, Knopman DS, Launer LJ, London SJ, Longstreth W, Lopez OL, Melo van Lent D, O’Connor G, Satizabal CL, Shrestha S, Sigurdsson S, Stubbe B, Talluri R, Vasan RS, Vernooij MW, Völzke H, Wiggins KL, Yu B, Beiser AS, Gudnason V, Mosley T, Psaty BM, Wolters FJ, Grabe HJ, Seshadri S. Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis. J Alzheimers Dis 2022; 90:1073-1083. [PMID: 36213999 PMCID: PMC9712227 DOI: 10.3233/jad-220667] [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] [Accepted: 09/02/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent. OBJECTIVE To study the cross-sectional associations of pulmonary function with structural brain variables. METHODS Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses. RESULTS FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume. CONCLUSION In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.
Collapse
Affiliation(s)
- Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Adrienne O’Donnell
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jeannette Simino
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Amber Yaqub
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Guy G. O. Brusselle
- Department of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Charles S. DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Sacramento, CA, USA
- Imaging of Dementia and Aging (IDeA) Laboratory, Department of Neurology, University of California-Davis, Davis, CA, USA
| | - Ralf Ewert
- Department of Internal Medicine B, Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Sina A. Gharib
- Center for Lung Biology, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Saptaparni Ghosh
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Schoolof Medicine, Boston, MA, USA
| | - Monica Gireud-Goss
- Glenn Biggs Institute for Alzheimer and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, SanAntonio, TX, USA
| | - Rebecca F. Gottesman
- Stroke, Cognition, and Neuroepidemiology (SCAN) section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, NC, USA
| | - W.T. Longstreth
- Department of Neurology, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Oscar L. Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Debora Melo van Lent
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Schoolof Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, SanAntonio, TX, USA
| | - George O’Connor
- Framingham Heart Study, Framingham, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Claudia L. Satizabal
- Glenn Biggs Institute for Alzheimer and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, SanAntonio, TX, USA
- Department of Population Health Sciences, The University of Texas Health Science Center at San Antonio, SanAntonio, TX, USA
| | - Srishti Shrestha
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Neurology, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Beate Stubbe
- Department of Internal Medicine B, Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Rajesh Talluri
- Department of Data Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Ramachandran S. Vasan
- Framingham Heart Study, Framingham, MA, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Alexa S. Beiser
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Neurology, Boston School of Medicine, Boston, MA, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Thomas Mosley
- Gertrude C. Ford Memory Impairment and Neurodegenerative Dementia (MIND) Center, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Neurology, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Medicine, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Frank J. Wolters
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Disease (DZNE), partner site Rostock/Greifswald, Germany
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University Schoolof Medicine, Boston, MA, USA
- Glenn Biggs Institute for Alzheimer and Neurodegenerative Diseases, The University of Texas Health Science Center at San Antonio, SanAntonio, TX, USA
- Department of Neurology, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| |
Collapse
|
6
|
Spilling CA, Jones PW, Dodd JW, Barrick TR. Disruption of white matter connectivity in chronic obstructive pulmonary disease. PLoS One 2019; 14:e0223297. [PMID: 31581226 PMCID: PMC6776415 DOI: 10.1371/journal.pone.0223297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 09/19/2019] [Indexed: 11/19/2022] Open
Abstract
Background Mild cognitive impairment is a common systemic manifestation of chronic obstructive pulmonary disease (COPD). However, its pathophysiological origins are not understood. Since, cognitive function relies on efficient communication between distributed cortical and subcortical regions, we investigated whether people with COPD have disruption in white matter connectivity. Methods Structural networks were constructed for 30 COPD patients (aged 54–84 years, 57% male, FEV1 52.5% pred.) and 23 controls (aged 51–81 years, 48% Male). Networks comprised 90 grey matter regions (nodes) interconnected by white mater fibre tracts traced using deterministic tractography (edges). Edges were weighted by the number of streamlines adjusted for a) streamline length and b) end-node volume. White matter connectivity was quantified using global and nodal graph metrics which characterised the networks connection density, connection strength, segregation, integration, nodal influence and small-worldness. Between-group differences in white matter connectivity and within-group associations with cognitive function and disease severity were tested. Results COPD patients’ brain networks had significantly lower global connection strength (p = 0.03) and connection density (p = 0.04). There was a trend towards COPD patients having a reduction in nodal connection density and connection strength across the majority of network nodes but this only reached significance for connection density in the right superior temporal gyrus (p = 0.02) and did not survive correction for end-node volume. There were no other significant global or nodal network differences or within-group associations with disease severity or cognitive function. Conclusion COPD brain networks show evidence of damage compared to controls with a reduced number and strength of connections. This loss of connectivity was not sufficient to disrupt the overall efficiency of network organisation, suggesting that it has redundant capacity that makes it resilient to damage, which may explain why cognitive dysfunction is not severe. This might also explain why no direct relationships could be found with cognitive measures. Smoking and hypertension are known to have deleterious effects on the brain. These confounding effects could not be excluded.
Collapse
Affiliation(s)
- Catherine A. Spilling
- Neuroscience Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, Tooting, London, United Kingdom
| | - Paul W. Jones
- Institute of Infection and Immunity, St George's, University of London, Tooting, London, United Kingdom
| | - James W. Dodd
- Academic Respiratory Unit, Second Floor, Learning and Research, Southmead Hospital, University of Bristol, Westbury-on-Trym, Bristol, United Kingdom
| | - Thomas R. Barrick
- Neuroscience Research Centre, Molecular and Clinical Sciences Research Institute, St George’s University of London, Tooting, London, United Kingdom
- * E-mail:
| |
Collapse
|
7
|
Spilling CA, Bajaj MPK, Burrage DR, Ruickbie S, Thai NJ, Baker EH, Jones PW, Barrick TR, Dodd JW. Contributions of cardiovascular risk and smoking to chronic obstructive pulmonary disease (COPD)-related changes in brain structure and function. Int J Chron Obstruct Pulmon Dis 2019; 14:1855-1866. [PMID: 31686798 PMCID: PMC6709516 DOI: 10.2147/copd.s213607] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 07/10/2019] [Indexed: 12/12/2022] Open
Abstract
Background Brain damage and cardiovascular disease are extra-pulmonary manifestations of chronic obstructive pulmonary disease (COPD). Cardiovascular risk factors and smoking are contributors to neurodegeneration. This study investigates whether there is a specific, COPD-related deterioration in brain structure and function independent of cardiovascular risk factors and smoking. Materials and methods Neuroimaging and clinical markers of brain structure (micro- and macro-) and function (cognitive function and mood) were compared between 27 stable COPD patients (age: 63.0±9.1 years, 59.3% male, forced expiratory volume in 1 second [FEV1]: 58.1±18.0% pred.) and 23 non-COPD controls with >10 pack years smoking (age: 66.6±7.5 years, 52.2% male, FEV1: 100.6±19.1% pred.). Clinical relationships and group interactions with brain structure were also tested. All statistical analyses included correction for cardiovascular risk factors, smoking, and aortic stiffness. Results COPD patients had significantly worse cognitive function (p=0.011), lower mood (p=0.046), and greater gray matter atrophy (p=0.020). In COPD patients, lower mood was associated with markers of white matter (WM) microstructural damage (p<0.001), and lower lung function (FEV1/forced vital capacity and FEV1) with markers of both WM macro (p=0.047) and microstructural damage (p=0.028). Conclusion COPD is associated with both structural (gray matter atrophy) and functional (worse cognitive function and mood) brain changes that cannot be explained by measures of cardiovascular risk, aortic stiffness, or smoking history alone. These results have important implications to guide the development of new interventions to prevent or delay progression of neuropsychiatric comorbidities in COPD. Relationships found between mood and microstructural abnormalities suggest that in COPD, anxiety, and depression may occur secondary to WM damage. This could be used to better understand disabling symptoms such as breathlessness, improve health status, and reduce hospital admissions.
Collapse
Affiliation(s)
- Catherine A Spilling
- Institute for Molecular and Clinical Sciences, St George’s University of London, LondonSW17 ORE, UK
| | - Mohani-Preet K Bajaj
- Institute for Molecular and Clinical Sciences, St George’s University of London, LondonSW17 ORE, UK
| | - Daniel R Burrage
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - Sachelle Ruickbie
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - N Jade Thai
- Clinical Research and Imaging Centre, University of Bristol, BristolBS2 8DX, UK
| | - Emma H Baker
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - Paul W Jones
- Institute for Infection and Immunity, St George’s University of London, LondonSW17 ORE, UK
| | - Thomas R Barrick
- Institute for Molecular and Clinical Sciences, St George’s University of London, LondonSW17 ORE, UK
| | - James W Dodd
- Academic Respiratory Unit, University of Bristol, BristolBS10 5NB, UK
| |
Collapse
|
8
|
van Beers M, Janssen DJA, Gosker HR, Schols AMWJ. Cognitive impairment in chronic obstructive pulmonary disease: disease burden, determinants and possible future interventions. Expert Rev Respir Med 2018; 12:1061-1074. [DOI: 10.1080/17476348.2018.1533405] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Martijn van Beers
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Daisy J. A. Janssen
- Department of Research & Education, CIRO, Centre of Expertise for Chronic Organ Failure, Horn, The Netherlands
- Centre of Expertise for Palliative Care, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Harry R. Gosker
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Annemie M. W. J. Schols
- Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, Maastricht, The Netherlands
| |
Collapse
|
9
|
Odeyemi YE, Meda E, Ogundipe F, Russ E, Mehari A, Obisesan T, Gillum RF. Airflow obstruction, cognitive function and mortality in a US national cohort: NHANES-III. THE CLINICAL RESPIRATORY JOURNAL 2018; 12:1141-1149. [PMID: 28459133 DOI: 10.1111/crj.12643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 04/06/2017] [Accepted: 04/11/2017] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To test the hypothesis that cognitive impairment increases mortality independent of airflow obstruction. MATERIALS AND METHODS In 1988-1994 the Third National Health and Nutrition Examination Survey (NHANES III) measured forced expiratory volume in the first second (FEV1) and the forced vital capacity (FVC) and selected items on cognitive function with mortality follow-up. For this survival analysis 4365 persons aged 60 and over with complete data formed the analytic sample. RESULTS The FEV1/FVC less than the lower limit of predicted ratio (LLP) defined airflow obstruction and Composite Cognitive Function Score (CCF) ≤4, cognitive impairment. The percentage who died during follow up was 67% among those with neither FEV1/FVC < LLP nor CCF ≤4, 82% with FEV1/FVC < LLP only, 85% with CCF score ≤4 only and 93% with both FEV1/FVC LLP and CCF score ≤4 (P < .001). Weighted Cox proportional hazards regression revealed an increased hazard ratio (HR) in persons with FEV1/FVC <LLP only and in persons with CCF ≤4 only, respectively, compared with persons with neither. FEV1/FVC ratio < LLP remained a significant predictor of mortality with an interaction between FEV1/FVC ratio < LLP and CCF ≤4 (P = .051). CONCLUSION Elderly persons with either airflow obstruction or cognitive impairment or both had increased all-cause mortality when compared to those with neither after adjusting for confounders. However, cognitive impairment was not a predictor of increased mortality independent of airflow obstruction.
Collapse
Affiliation(s)
- Yewande E Odeyemi
- Division of Pulmonary Diseases, Department of Medicine, Howard University Hospital, Washington, DC
- Department of Internal Medicine, Howard University Hospital, Washington, DC
| | - Edris Meda
- Department of Internal Medicine, Howard University Hospital, Washington, DC
| | - Funmilola Ogundipe
- Department of Internal Medicine, Howard University Hospital, Washington, DC
| | - Ebony Russ
- Department of Sociology and Criminology, Howard University, Washington, DC
| | - Alem Mehari
- Division of Pulmonary Diseases, Department of Medicine, Howard University Hospital, Washington, DC
- Department of Internal Medicine, Howard University Hospital, Washington, DC
| | - Thomas Obisesan
- Division of Geriatrics, Department of Internal Medicine, Howard University Hospital, Washington, DC
| | - Richard F Gillum
- Division of Geriatrics, Department of Internal Medicine, Howard University Hospital, Washington, DC
| |
Collapse
|
10
|
Morlino P, Balbi B, Guglielmetti S, Giardini M, Grasso M, Giordano C, Schieppati M, Nardone A. Gait abnormalities of COPD are not directly related to respiratory function. Gait Posture 2017; 58:352-357. [PMID: 28866454 DOI: 10.1016/j.gaitpost.2017.08.020] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Revised: 06/14/2017] [Accepted: 08/13/2017] [Indexed: 02/02/2023]
Abstract
STUDY OBJECTIVE To assess whether gait abnormalities in COPD depend on mere impairment of respiratory function. METHODS In 40 patients with COPD at different GOLD stages and 28 controls, we evaluated: forced expiratory volume in 1s (FEV1); partial pressure of oxygen; Mini-Mental State Examination (MMSE); dynamic balance through the Mini-BESTest (MBT); Timed Up and Go (TUG) test without and with dual task counting aloud back by three; 6-min walk test (6MWT); body sway during quiet stance (stabilometry); spatial-temporal variables of gait by a 4-m long sensorized walkway (baropodometry). Lower-limb muscle strength, tendon reflexes, and sensation were also clinically evaluated. RESULTS Muscle strength of proximal but not distal muscles was slightly reduced in patients, whereas reflexes and sensation were unaffected. FEV1, partial pressure of oxygen, MMSE, MBT, stabilometry, as well as baropodometry, were abnormal and unrelated to muscle weakness. The time taken to perform the TUG test was increased, and to a larger extent with than without dual task. At baropodometry, variability of step length was increased; abnormalities of gait variables were associated with larger body sway but not with FEV1 or hypoxemia. Gait speed at 6MWT was correlated with MBT score and with FEV1 as well as hypoxemia. CONCLUSIONS 6MWT findings give a measure of gait disability linked to endurance-related respiratory failure. Gait at baropodometry is associated with impairment of balance, cognitive status and abnormal dual task performance. We suggest that central nervous lesions, presumably of vascular origin, are detrimental to balance and gait in COPD.
Collapse
Affiliation(s)
- Paola Morlino
- Posture and Movement Laboratory, Division of Physical Medicine and Rehabilitation, ICS MAUGERI SPA SB, Institute of Veruno, IRCCS, Veruno (NO), Italy
| | - Bruno Balbi
- Division of Pulmonary Rehabilitation, ICS MAUGERI SPA SB, Institute of Veruno, IRCCS, Veruno (NO), Italy
| | - Simone Guglielmetti
- Posture and Movement Laboratory, Division of Physical Medicine and Rehabilitation, ICS MAUGERI SPA SB, Institute of Veruno, IRCCS, Veruno (NO), Italy
| | - Marica Giardini
- Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Margherita Grasso
- Posture and Movement Laboratory, Division of Physical Medicine and Rehabilitation, ICS MAUGERI SPA SB, Institute of Veruno, IRCCS, Veruno (NO), Italy
| | - Chiara Giordano
- Division of Pulmonary Rehabilitation, ICS MAUGERI SPA SB, Institute of Veruno, IRCCS, Veruno (NO), Italy
| | - Marco Schieppati
- Department of Exercise and Sport Science, LUNEX International University of Health, Exercise and Sports, Differdange, Luxembourg
| | - Antonio Nardone
- Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy; Centro Studi Attività Motorie, ICS MAUGERI SPA SB, Institute of Pavia, IRCCS, Pavia, Italy; Neurorehabilitation and Spinal Units, ICS MAUGERI SPA SB, Institute of Pavia, IRCCS, Pavia, Italy.
| |
Collapse
|
11
|
COPD and stroke: are systemic inflammation and oxidative stress the missing links? Clin Sci (Lond) 2017; 130:1039-50. [PMID: 27215677 PMCID: PMC4876483 DOI: 10.1042/cs20160043] [Citation(s) in RCA: 119] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 03/07/2016] [Indexed: 12/12/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is characterized by progressive airflow limitation and loss of lung function, and is currently the third largest cause of death in the world. It is now well established that cardiovascular-related comorbidities such as stroke contribute to morbidity and mortality in COPD. The mechanisms linking COPD and stroke remain to be fully defined but are likely to be interconnected. The association between COPD and stroke may be largely dependent on shared risk factors such as aging and smoking, or the association of COPD with traditional stroke risk factors. In addition, we propose that COPD-related systemic inflammation and oxidative stress may play important roles by promoting cerebral vascular dysfunction and platelet hyperactivity. In this review, we briefly discuss the pathogenesis of COPD, acute exacerbations of COPD (AECOPD) and cardiovascular comorbidities associated with COPD, in particular stroke. We also highlight and discuss the potential mechanisms underpinning the link between COPD and stroke, with a particular focus on the roles of systemic inflammation and oxidative stress.
Collapse
|
12
|
Buchman AS, Yu L, Wilson RS, Dawe RJ, VanderHorst V, Schneider JA, Bennett DA. Post-mortem brain pathology is related to declining respiratory function in community-dwelling older adults. Front Aging Neurosci 2015; 7:197. [PMID: 26539108 PMCID: PMC4612667 DOI: 10.3389/fnagi.2015.00197] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2015] [Accepted: 10/04/2015] [Indexed: 11/16/2022] Open
Abstract
Damage to brain structures which constitute the distributed neural network that integrates respiratory muscle and pulmonary functions, can impair adequate ventilation and its volitional control. We tested the hypothesis that the level of brain pathology in older adults is associated with declining respiratory function measured during life. 1,409 older adults had annual testing with spirometry (SPI) and respiratory muscle strength (RMS) based on maximal inspiratory and maximal expiratory pressures (MEPs). Those who died underwent structured brain autopsy. On average, during 5 years of follow-up, SPI and RMS showed progressive decline which was moderately correlated (ρ = 0.57, p < 0.001). Among decedents (N = 447), indices of brain neuropathologies showed differential associations with declining SPI and RMS. Nigral neuronal loss was associated with the person-specific decline in SPI (Estimate, −0.016 unit/year, S.E. 0.006, p = 0.009) and reduction of the slope variance was equal to 4%. By contrast, Alzheimer’s disease (AD) pathology (Estimate, −0.030 unit/year, S.E. 0.009, p < 0.001) and macroscopic infarcts (−0.033 unit/year, S.E., 0.011, p = 0.003) were associated with the person-specific decline in RMS and reduction of the slope variance was equal to 7%. These results suggest that brain pathology is associated with the rate of declining respiratory function in older adults.
Collapse
Affiliation(s)
- Aron S Buchman
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago, IL, USA ; Department of Neurological Sciences, Rush University Medical Center Chicago, IL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago, IL, USA ; Department of Neurological Sciences, Rush University Medical Center Chicago, IL, USA
| | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago, IL, USA ; Department of Behavioral Sciences, Rush University Medical Center Chicago, IL, USA
| | - Robert J Dawe
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago, IL, USA ; Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center Chicago, IL, USA
| | - Veronique VanderHorst
- Department of Neurology, Beth Israel Deaconess Medical Center Boston, MA, USA ; Harvard Medical School Boston, MA, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago, IL, USA ; Department of Neurological Sciences, Rush University Medical Center Chicago, IL, USA ; Department of Pathology (Neuropathology), Rush University Medical Center Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center Chicago, IL, USA ; Department of Neurological Sciences, Rush University Medical Center Chicago, IL, USA
| |
Collapse
|
13
|
Lahousse L, Tiemeier H, Ikram MA, Brusselle GG. Chronic obstructive pulmonary disease and cerebrovascular disease: A comprehensive review. Respir Med 2015; 109:1371-80. [PMID: 26342840 DOI: 10.1016/j.rmed.2015.07.014] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Revised: 06/09/2015] [Accepted: 07/19/2015] [Indexed: 01/23/2023]
Abstract
Along with the aging population, the public health burden of cerebrovascular disease is increasing. Cerebral small vessel disease and accumulation of brain pathology associate with cognitive decline and can lead to clinical outcomes, such as stroke and dementia. Chronic Obstructive Pulmonary Disease (COPD) is a common respiratory disease among elderly. The quality of life and prognosis of patients with COPD is greatly determined by the presence of comorbidities including stroke and cognitive impairment. Despite the clinical relevance of cerebral small vessel disease, stroke and (vascular) cognitive impairment in patients with COPD, literature is scarce and underlying mechanisms are unknown. The aim of the present review is therefore to summarize current scientific knowledge, to provide a better understanding of the interplay between COPD and the aging brain and to define remaining knowledge gaps. This narrative review article 1) overviews the epidemiology of cerebral small vessel disease, stroke and cognitive impairment in patients with COPD; 2) discusses potential underlying mechanisms including aging, smoking, systemic inflammation, vasculopathy, hypoxia and genetic susceptibility; and 3) highlights areas requiring further research.
Collapse
Affiliation(s)
- Lies Lahousse
- Department of Respiratory Medicine, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium; Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Department of Psychiatry, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Department of Radiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Department of Neurology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Guy G Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, De Pintelaan 185, 9000 Ghent, Belgium; Department of Epidemiology, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Department of Respiratory Medicine, Erasmus Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| |
Collapse
|