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Soria Robles AI, Aguado Blanco C, Juárez España M, Andrés Pretel F, Massó Núñez ML, Vizcaíno García MS, Abizanda P, Coloma Navarro R. Obstructive Sleep Apnea and Oxygenation in Very Old Adults: A Propensity-Score Match Study. J Am Med Dir Assoc 2024; 25:105023. [PMID: 38763163 DOI: 10.1016/j.jamda.2024.105023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 04/05/2024] [Accepted: 04/05/2024] [Indexed: 05/21/2024]
Abstract
OBJECTIVES The prevalence of obstructive sleep apnea (OSA) escalates with advancing age. Although the apnea-hypopnea index (AHI) is the standard measure for assessing OSA severity, it does not account for additional oximetric parameters that may influence disease progression in older adults. This study aimed to evaluate disparities in respiratory polygraphy/polysomnography parameters among patients with OSA, stratified by age and sex. DESIGN Retrospective propensity score-matched study. SETTING AND PARTICIPANTS Sleep unit of a university hospital; 11,747 participants, 210 aged 80 years or older. METHODS Propensity score matching was used to establish 4 age cohorts, with the 210 oldest adults serving as the reference group. Primary outcome variables included the total sleep time with oxygen saturation (SaO2) below 90% (T90), average SaO2, minimum SaO2, and AHI. The association between T90 and AHI, as well as the severity of OSA, was assessed across the 4 age categories. RESULTS Despite comparable AHI scores, the oldest patients with OSA exhibited the highest T90 and the lowest SaO2 levels compared to younger counterparts. The proportion of patients with severe OSA and T90 in the highest quartile increased with age: 12.5% in young adults, 14.8% in adults, 21.7% in the old, and 34% in the very old participants (P < .001). old and very old patients had a greater likelihood of being in the most severe OSA category compared to the younger ones, with odds ratios (OR) 2.57 (95% CI 1.42-4.65) and 5.52 (95% CI 3.06-9.97), respectively. These patterns were more pronounced in women of advanced age, indicating a sex-specific variation in disease severity with increasing age. CONCLUSIONS AND IMPLICATIONS Old patients with OSA, particularly women, demonstrate elevated T90 and reduced SaO2 levels, irrespective of AHI, indicating a hypoxemia increased risk. The diagnostic criteria, management, and outcomes for OSA may require adaptations to address the unique needs of very old populations.
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Affiliation(s)
| | | | - María Juárez España
- Geriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | | | - María Llanos Massó Núñez
- Sleep Unit, Neumology Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | | | - Pedro Abizanda
- Geriatrics Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain; Facultad de Medicina de Albacete, Universidad de Castilla-La Mancha, Albacete, Spain; CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.
| | - Ramón Coloma Navarro
- Sleep Unit, Neumology Department, Complejo Hospitalario Universitario de Albacete, Albacete, Spain.
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Gottesman RF, Lutsey PL, Benveniste H, Brown DL, Full KM, Lee JM, Osorio RS, Pase MP, Redeker NS, Redline S, Spira AP. Impact of Sleep Disorders and Disturbed Sleep on Brain Health: A Scientific Statement From the American Heart Association. Stroke 2024; 55:e61-e76. [PMID: 38235581 DOI: 10.1161/str.0000000000000453] [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] [Indexed: 01/19/2024]
Abstract
Accumulating evidence supports a link between sleep disorders, disturbed sleep, and adverse brain health, ranging from stroke to subclinical cerebrovascular disease to cognitive outcomes, including the development of Alzheimer disease and Alzheimer disease-related dementias. Sleep disorders such as sleep-disordered breathing (eg, obstructive sleep apnea), and other sleep disturbances, as well, some of which are also considered sleep disorders (eg, insomnia, sleep fragmentation, circadian rhythm disorders, and extreme sleep duration), have been associated with adverse brain health. Understanding the causal role of sleep disorders and disturbances in the development of adverse brain health is complicated by the common development of sleep disorders among individuals with neurodegenerative disease. In addition to the role of sleep disorders in stroke and cerebrovascular injury, mechanistic hypotheses linking sleep with brain health and biomarker data (blood-based, cerebrospinal fluid-based, and imaging) suggest direct links to Alzheimer disease-specific pathology. These potential mechanisms and the increasing understanding of the "glymphatic system," and the recognition of the importance of sleep in poststroke recovery, as well, support a biological basis for the indirect (through the worsening of vascular disease) and direct (through specific effects on neuropathology) connections between sleep disorders and brain health. Given promising evidence for the benefits of treatment and prevention, sleep disorders and disturbances represent potential targets for early treatment that may improve brain health more broadly. In this scientific statement, we discuss the evidence supporting an association between sleep disorders and disturbances and poor brain health ranging from stroke to dementia and opportunities for prevention and early treatment.
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Legault J, Thompson C, Moullec G, Baril AA, Martineau-Dussault MÈ, André C, Marchi NA, Cross N, Dang-Vu TT, Carrier J, Gosselin N. Age- and sex-specific associations between obstructive sleep apnea risk and cognitive decline in middle-aged and older adults: A 3-year longitudinal analysis of the Canadian longitudinal study on aging. Sleep Med 2023; 112:77-87. [PMID: 37832163 DOI: 10.1016/j.sleep.2023.09.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/18/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Whether obstructive sleep apnea (OSA) increases the risk of cognitive decline and how sex and age influence this association is not clear. Here, we characterized the sex- and age-specific associations between OSA risk and 3-year cognitive change in middle-aged and older adults. METHODS We included 24,819 participants aged 45-85 (52% women) from the Canadian Longitudinal Study on Aging. OSA risk was measured at baseline using the STOP combined to body mass index (STOP-B). Neuropsychological tests assessed memory, executive functioning, and psychomotor speed at baseline and at 3-year follow-up. We conducted age- and sex-specific linear mixed models to estimate the predictive role of baseline STOP-B score on 3-year cognitive change. RESULTS Men at high-risk for OSA aged 45-59 years showed a steeper decline in psychomotor speed (+13.2 [95% CI: -1.6, 27.9]) compared to men at low-risk. Men at high-risk for OSA aged 60-69 showed a steeper decline in mental flexibility (-1.2 [-1.9, -0.5]) and processing speed (+0.6 [0.3, 0.9]) than those at low-risk. Women at high-risk for OSA aged 45-59 showed a steeper decline in processing speed (+0.1 [-0.2, 0.4]) than women at low-risk, while women at high-risk ≥70 years had a steeper decline in memory (-0.2 [-0.6, 0.1]) and processing speed (+1.0 [0.4, 1.5]). CONCLUSIONS Associations between OSA risk and cognitive decline over 3 years depend on age and sex. Being at high-risk for OSA is associated with a generalized cognitive decline in attention and processing speed, while a memory decline is specific to older women (≥70 years).
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Affiliation(s)
- Julie Legault
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Cynthia Thompson
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada
| | - Gregory Moullec
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; École de santé publique, Département de médecine sociale et préventive, Université de Montréal, Montreal, QC, Canada
| | - Andrée-Ann Baril
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Marie-Ève Martineau-Dussault
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Claire André
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Nicola Andrea Marchi
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada; Center for Investigation and Research in Sleep, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nathan Cross
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada; Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Thien Thanh Dang-Vu
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l'Ile-de-Montréal, Montreal, QC, Canada; Center for Studies in Behavioral Neurobiology, Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, QC, Canada
| | - Julie Carrier
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada
| | - Nadia Gosselin
- Research Center, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Montreal, QC, Canada; Department of Psychology, Université de Montréal, Montreal, QC, Canada.
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Huang L, Shu Y, Liu X, Li L, Long T, Zeng L, Liu Y, Deng Y, Li H, Peng D. Abnormal dynamic functional connectivity in the hippocampal subregions of patients with untreated moderate-to-severe obstructive sleep apnea. Sleep Med 2023; 112:273-281. [PMID: 37939546 DOI: 10.1016/j.sleep.2023.10.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/19/2023] [Accepted: 10/30/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE To investigate the dynamic change characteristics of dynamic functional connectivity (dFC) between the hippocampal subregions (anterior and posterior) and other brain regions in obstructive sleep apnoea (OSA) and its relationship with cognitive function, and to explore whether these characteristics can be used to distinguish OSA from healthy controls (HCs). METHODS Eighty-five patients with newly diagnosed moderate-to-severe OSA and 85 HCs were enrolled. All participants underwent resting-state functional magnetic resonance imaging (fMRI). The difference between dFC values between the hippocampal subregions and other brain regions in OSA patients and HCs was compared using the two-sample t tests. Correlation analyses were used to assess the relationship between dFC, clinical data, and cognitive functions in OSA patients. dFC values from different brain regions were used as classification features to distinguish between the two groups using a support vector machine. RESULTS Compared with HCs, the dFC values between the left anterior hippocampus and right culmen of the cerebellum anterior lobe, right anterior hippocampus and left lingual gyrus, and left posterior hippocampus and left precentral gyrus were significantly lower, and the dFC values between the left posterior hippocampus and precuneus were significantly higher in OSA patients. The dFC values between the left posterior hippocampus and the precuneus of OSA patients were associated with sleep-related indicators and Montreal Cognitive Assessment scores. Support vector machine analysis results showed that dFC values in different brain regions could distinguish OSA patients from HCs. CONCLUSION dFC patterns between the hippocampal subregions and other brain regions were altered in patients with OSA, including the cerebellum, default mode networks, sensorimotor networks, and visual function networks, which is possibly associated with cognitive decline. In addition, the dFC values of different brain regions could effectively distinguish OSA patients from HCs. These findings provide new perspectives on neurocognition in these patients.
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Affiliation(s)
- Ling Huang
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yongqiang Shu
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiang Liu
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lifeng Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ting Long
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Li Zeng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yumeng Liu
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yingke Deng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Haijun Li
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China; PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.
| | - Dechang Peng
- Medical Imaging Center, The First Affiliated Hospital of Nanchang University, Nanchang, China; PET Center, The First Affiliated Hospital of Nanchang University, Nanchang, China.
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5
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Ghaderi S, Mohammadi S, Mohammadi M. Obstructive sleep apnea and attention deficits: A systematic review of magnetic resonance imaging biomarkers and neuropsychological assessments. Brain Behav 2023; 13:e3262. [PMID: 37743582 PMCID: PMC10636416 DOI: 10.1002/brb3.3262] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/07/2023] [Accepted: 09/12/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Obstructive sleep apnea (OSA) is a common sleep disorder that causes intermittent hypoxia and sleep fragmentation, leading to attention impairment and other cognitive deficits. Magnetic resonance imaging (MRI) is a powerful modality that can reveal the structural and functional brain alterations associated with attention impairment in OSA patients. The objective of this systematic review is to identify and synthesize the evidence on MRI biomarkers and neuropsychological assessments of attention deficits in OSA patients. METHODS We searched the Scopus and PubMed databases for studies that used MRI to measure biomarkers related to attention alteration in OSA patients and reported qualitative and quantitative data on the association between MRI biomarkers and attention outcomes. We also included studies that found an association between neuropsychological assessments and MRI findings in OSA patients with attention deficits. RESULTS We included 19 studies that met our inclusion criteria and extracted the relevant data from each study. We categorized the studies into three groups based on the MRI modality and the cognitive domain they used: structural and diffusion tensor imaging MRI findings, functional, perfusion, and metabolic MRI findings, and neuropsychological assessment findings. CONCLUSIONS We found that OSA is associated with structural, functional, and metabolic brain alterations in multiple regions and networks that are involved in attention processing. Treatment with continuous positive airway pressure can partially reverse some of the brain changes and improve cognitive function in some domains and in some studies. This review suggests that MRI techniques and neuropsychological assessments can be useful tools for monitoring the progression and response to treatment of OSA patients.
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Affiliation(s)
- Sadegh Ghaderi
- Department of Neuroscience and Addiction StudiesSchool of Advanced Technologies in MedicineTehran University of Medical SciencesTehranIran
| | - Sana Mohammadi
- Department of Medical SciencesSchool of MedicineIran University of Medical SciencesTehranIran
| | - Mahdi Mohammadi
- Department of Medical Physics and Biomedical Engineering, School of MedicineTehran University of Medical SciencesTehranIran
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6
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Costa YS, Lim ASP, Thorpe KE, Colelli DR, Mitchell S, Masellis M, Lam B, Black SE, Boulos MI. Investigating changes in cognition associated with the use of CPAP in cognitive impairment and dementia: A retrospective study. Sleep Med 2023; 101:437-444. [PMID: 36516600 DOI: 10.1016/j.sleep.2022.11.037] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/20/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
STUDY OBJECTIVES To characterize the impact of CPAP use on cognition in a clinical cohort with obstructive sleep apnea (OSA) and cognitive impairment due to neurodegenerative or vascular etiologies after controlling for baseline sleepiness. METHODS We retrospectively analyzed data from 171 patients with cognitive impairment and an OSA diagnosis confirmed with in-laboratory polysomnography or home sleep apnea testing (mean age 69.8 ± 10.6; 66% male) who were eligible to use CPAP. Baseline and follow-up Epworth Sleepiness Score (ESS), Montreal Cognitive Assessment (MoCA), and Mini-Mental Status Examination (MMSE) were obtained from clinical and research visits conducted before and after CPAP initiation. Good CPAP adherence was defined as CPAP use ≥4 h/night, for 7 days/week at follow-up. Associations between CPAP adherence and follow-up cognitive scores were analyzed using multivariable linear mixed-effects models. RESULTS After adjusting for age, sex, body mass index, baseline ESS, duration of CPAP therapy, relevant comorbidities and the random effect of research study cohort, good CPAP adherence (compared to poor CPAP adherence or no use of CPAP) for a duration of 2-12 months was associated with a 2.3-point (1.2-3.3 95% CI) higher follow-up MoCA score (p < 0.001) and a 1.2-point (0.3-2.3 95% CI) higher follow-up MMSE score (p = 0.01). CONCLUSIONS In patients with OSA and cognitive impairment due to a neurodegenerative or vascular etiology, use of CPAP is associated with improved cognitive outcomes. The findings of this study may aid in motivating patients to use CPAP and support future randomized controlled trials in this area.
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Affiliation(s)
- Yakdehikandage S Costa
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada; Sleep Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Andrew S P Lim
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada; Sleep Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Kevin E Thorpe
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - David R Colelli
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada; Sleep Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sara Mitchell
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin Lam
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Sandra E Black
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada
| | - Mark I Boulos
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Division of Neurology, University of Toronto, Toronto, Ontario, Canada; Sleep Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
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7
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Martineau-Dussault MÈ, André C, Daneault V, Baril AA, Gagnon K, Blais H, Petit D, Montplaisir JY, Lorrain D, Bastien C, Hudon C, Descoteaux M, Boré A, Theaud G, Thompson C, Legault J, Martinez Villar GE, Lafrenière A, Lafond C, Gilbert D, Carrier J, Gosselin N. Medial temporal lobe and obstructive sleep apnea: Effect of sex, age, cognitive status and free-water. Neuroimage Clin 2022; 36:103235. [PMID: 36272339 PMCID: PMC9668668 DOI: 10.1016/j.nicl.2022.103235] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/23/2022] [Accepted: 10/15/2022] [Indexed: 11/06/2022]
Abstract
Medial temporal structures, namely the hippocampus, the entorhinal cortex and the parahippocampal gyrus, are particularly vulnerable to Alzheimer's disease and hypoxemia. Here, we tested the associations between obstructive sleep apnea (OSA) severity and medial temporal lobe volumes in 114 participants aged 55-86 years (35 % women). We also investigated the impact of sex, age, cognitive status, and free-water fraction correction on these associations. Increased OSA severity was associated with larger hippocampal and entorhinal cortex volumes in women, but not in men. Greater OSA severity also correlated with increased hippocampal volumes in participants with amnestic mild cognitive impairment, but not in cognitively unimpaired participants, regardless of sex. Using free-water corrected volumes eliminated all significant associations with OSA severity. Therefore, the increase in medial temporal subregion volumes may possibly be due to edema. Whether these structural manifestations further progress to neuronal death in non-treated OSA patients should be investigated.
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Affiliation(s)
- Marie-Ève Martineau-Dussault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Claire André
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Véronique Daneault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada
| | - Andrée-Ann Baril
- Department of Psychiatry, McGill University, Montreal, Canada,Douglas Mental Health University Institute, CIUSSS de l'Ouest-de-l'Ile-de-Montréal, Montreal, Canada
| | - Katia Gagnon
- Hôpital en santé mentale Rivière-des-Prairies, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Hélène Blais
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Dominique Petit
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Jacques Y. Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychiatry, Université de Montréal, Montreal, Canada
| | - Dominique Lorrain
- Research Center on Aging, Institut universitaire de gériatrie de Sherbrooke, CIUSSS de l’Estrie, Sherbrooke, Canada,Department of Psychology, Université de Sherbrooke, Sherbrooke, Canada
| | - Célyne Bastien
- CERVO Research Center, Quebec City, Canada,École de psychologie, Université Laval, Quebec City, Canada
| | - Carol Hudon
- CERVO Research Center, Quebec City, Canada,École de psychologie, Université Laval, Quebec City, Canada
| | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Arnaud Boré
- Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada,Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Guillaume Theaud
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada,Imeka Solutions Inc, Sherbrooke, Canada
| | - Cynthia Thompson
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Julie Legault
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Guillermo E. Martinez Villar
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Alexandre Lafrenière
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Chantal Lafond
- Department of Medecine, Université de Montréal, Montreal, Canada,Department of Pneumonology, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada
| | - Danielle Gilbert
- Department of Radiology, Radio-oncology and Nuclear Medicine, Université de Montréal, Montreal, Canada,Department of Radiology, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Canada
| | - Julie Carrier
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada,Centre de recherche de l’Institut universitaire de gériatrie de Montréal, CIUSSS du Centre-Sud-de l’Île-de-Montréal, Montreal, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, CIUSSS du Nord-de-l’Ile-de-Montréal, Montreal, Canada,Department of Psychology, Université de Montréal, Montreal, Canada,Corresponding author at: Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Cœur de Montréal, CIUSSS du Nord-de l’Ile-de-Montréal, 5400 Gouin Blvd. West, Office J-5135, Montreal, Quebec H4J 1C5, Canada.
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8
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Shanks J, Abukar Y, Lever NA, Pachen M, LeGrice IJ, Crossman DJ, Nogaret A, Paton JFR, Ramchandra R. Reverse re-modelling chronic heart failure by reinstating heart rate variability. Basic Res Cardiol 2022; 117:4. [PMID: 35103864 PMCID: PMC8807455 DOI: 10.1007/s00395-022-00911-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/29/2021] [Accepted: 12/29/2021] [Indexed: 01/31/2023]
Abstract
Heart rate variability (HRV) is a crucial indicator of cardiovascular health. Low HRV is correlated with disease severity and mortality in heart failure. Heart rate increases and decreases with each breath in normal physiology termed respiratory sinus arrhythmia (RSA). RSA is highly evolutionarily conserved, most prominent in the young and athletic and is lost in cardiovascular disease. Despite this, current pacemakers either pace the heart in a metronomic fashion or sense activity in the sinus node. If RSA has been lost in cardiovascular disease current pacemakers cannot restore it. We hypothesized that restoration of RSA in heart failure would improve cardiac function. Restoration of RSA in heart failure was assessed in an ovine model of heart failure with reduced ejection fraction. Conscious 24 h recordings were made from three groups, RSA paced (n = 6), monotonically paced (n = 6) and heart failure time control (n = 5). Real-time blood pressure, cardiac output, heart rate and diaphragmatic EMG were recorded in all animals. Respiratory modulated pacing was generated by a proprietary device (Ceryx Medical) to pace the heart with real-time respiratory modulation. RSA pacing substantially increased cardiac output by 1.4 L/min (20%) compared to contemporary (monotonic) pacing. This increase in cardiac output led to a significant decrease in apnoeas associated with heart failure, reversed cardiomyocyte hypertrophy, and restored the T-tubule structure that is essential for force generation. Re-instating RSA in heart failure improves cardiac function through mechanisms of reverse re-modelling; the improvement observed is far greater than that seen with current contemporary therapies. These findings support the concept of re-instating RSA as a regime for patients who require a pacemaker.
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Affiliation(s)
- J. Shanks
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
| | - Y. Abukar
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
| | - N. A. Lever
- grid.414055.10000 0000 9027 2851Department of Cardiology, Auckland City Hospital, Auckland District Health Board, Park Road, Grafton, Auckland, New Zealand
| | - M. Pachen
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
| | - I. J. LeGrice
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
| | - D. J. Crossman
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
| | - A. Nogaret
- grid.7340.00000 0001 2162 1699Department of Physics, University of Bath, Claverton Down, Bath, UK
| | - J. F. R. Paton
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
| | - R. Ramchandra
- grid.9654.e0000 0004 0372 3343Manaaki Manawa—The Centre for Heart Research, Department of Physiology, University of Auckland, Park Road, Grafton, Auckland, New Zealand
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L'Heureux F, Baril AA, Gagnon K, Soucy JP, Lafond C, Montplaisir J, Gosselin N. Longitudinal changes in regional cerebral blood flow in late middle-aged and older adults with treated and untreated obstructive sleep apnea. Hum Brain Mapp 2021; 42:3429-3439. [PMID: 33939243 PMCID: PMC8249886 DOI: 10.1002/hbm.25443] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/03/2021] [Accepted: 03/29/2021] [Indexed: 12/31/2022] Open
Abstract
Obstructive sleep apnea (OSA) is associated with abnormal cerebral perfusion at wakefulness, but whether these anomalies evolve over time is unknown. Here, we examined longitudinal changes in regional cerebral blood flow (rCBF) distribution in late middle‐aged and older adults with treated or untreated OSA. Twelve controls (64.8 ± 8.0 years) and 23 participants with newly diagnosed OSA (67.8 ± 6.2 years) were evaluated with polysomnography and cerebral 99mTc‐HMPAO single‐photon emission computed tomography during wakeful rest. OSA participants were referred to a sleep apnea clinic and 13 of them decided to start continuous positive airway pressure (CPAP). Participants were tested again after 18 months. Voxel‐based analysis and extracted relative rCBF values were used to assess longitudinal changes. Untreated OSA participants showed decreased relative rCBF in the left hippocampus and the right parahippocampal gyrus over time, while treated participants showed trends for increased relative rCBF in the left hippocampus and the right parahippocampal gyrus. No changes were found over time in controls. Untreated OSA is associated with worsening relative rCBF in specific brain areas over time, while treated OSA shows the opposite. Considering that OSA possibly accelerates cognitive decline in older adults, CPAP treatment could help reduce risk for cognitive impairment.
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Affiliation(s)
- Francis L'Heureux
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montreal, Quebec, Canada.,Department of Neurosciences, Université de Montréal, Montreal, Quebec, Canada
| | - Andrée-Ann Baril
- The Framingham Heart Study, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Katia Gagnon
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université du Québec à Montreal, Montreal, Quebec, Canada
| | - Jean-Paul Soucy
- McConnel Brain Imaging Centre, McGill University, Montreal, Quebec, Canada
| | - Chantal Lafond
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montreal, Quebec, Canada
| | - Jacques Montplaisir
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montreal, Quebec, Canada.,Department of Psychiatry, Université de Montréal, Montreal, Quebec, Canada
| | - Nadia Gosselin
- Center for Advanced Research in Sleep Medicine, Hôpital du Sacré-Coeur de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux du Nord de l'Île-de-Montréal, Montreal, Quebec, Canada.,Department of Psychology, Université de Montréal, Montreal, Quebec, Canada
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