Association between sleep apnoea and risk of cognitive impairment and Alzheimer’s disease: a meta-analysis of cohort-based studies

Tian, Qianqian; Sun, Jiadong; Li, Xuemei; Liu, Junling; Zhou, Hao; Deng, Jian; Li, Jie

doi:10.1007/s11325-023-02934-w

Sleep Breath

2023

DOI: 10.1007/s11325-023-02934-w

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Association between sleep apnoea and risk of cognitive impairment and Alzheimer’s disease: a meta-analysis of cohort-based studies

Qianqian Tian,

Jiadong Sun,

Xuemei Li

et al.

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2024

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Cited by 6 publications

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Factors Affecting Resilience and Prevention of Alzheimer's Disease and Related Dementias

Masurkar,

Marsh,

Morgan

et al. 2024

Annals of Neurology

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Alzheimer's disease (AD) is a devastating, age‐associated neurodegenerative disorder and the most common cause of dementia. The clinical continuum of AD spans from preclinical disease to subjective cognitive decline, mild cognitive impairment, and dementia stages (mild, moderate, and severe). Neuropathologically, AD is defined by the accumulation of amyloid β (Aβ) into extracellular plaques in the brain parenchyma and in the cerebral vasculature, and by abnormally phosphorylated tau that accumulates intraneuronally forming neurofibrillary tangles (NFTs). Development of treatment approaches that prevent or even reduce the cognitive decline because of AD has been slow compared to other major causes of death. Recently, the United States Food and Drug Administration gave full approval to 2 different Aβ‐targeting monoclonal antibodies. However, this breakthrough disease modifying approach only applies to a limited subset of patients in the AD continuum and there are stringent eligibility criteria. Furthermore, these approaches do not prevent progression of disease, because other AD‐related pathologies, such as NFTs, are not directly targeted. A non‐mutually exclusive alternative is to address lifestyle interventions that can help reduce the risk of AD and AD‐related dementias (ADRD). It is estimated that addressing such modifiable risk factors could potentially delay up to 40% of AD/ADRD cases. In this review, we discuss some of the many modifiable risk factors that may be associated with prevention of AD/ADRD and/or increasing brain resilience, as well as other factors that may interact with these modifiable risk factors to influence AD/ADRD progression. ANN NEUROL 2024

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Factors Affecting Resilience and Prevention of Alzheimer's Disease and Related Dementias

Masurkar,

Marsh,

Morgan

et al. 2024

Annals of Neurology

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The effects of machine learning algorithms in magnetic resonance imaging (MRI), and biomarkers on early detection of Alzheimer's disease

Shah,

Shah

2024

Advances in Biomarker Sciences and Technology

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Amyloid profile is associated with sleep quality in preclinical but not in prodromal Alzheimer’s disease older adults

Borges,

Poyares,

Studart-Neto

et al. 2024

Sleep Medicine

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Association between sleep apnoea and risk of cognitive impairment and Alzheimer’s disease: a meta-analysis of cohort-based studies

Cited by 6 publications

References 50 publications

Factors Affecting Resilience and Prevention of Alzheimer's Disease and Related Dementias

Factors Affecting Resilience and Prevention of Alzheimer's Disease and Related Dementias

The effects of machine learning algorithms in magnetic resonance imaging (MRI), and biomarkers on early detection of Alzheimer's disease

Amyloid profile is associated with sleep quality in preclinical but not in prodromal Alzheimer’s disease older adults

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