Daily Archives: 17 May 2024

Stressful experiences during middle age may be a risk factor for developing Alzheimer’s disease in later years

The study’s findings, which suggest a potential link between stressful experiences in midlife or during childhood and a higher risk of developing Alzheimer’s disease and neuroinflammation, are significant. Published in the Annals of Neurology by the Barcelona Institute for Global Health (ISGlobal), this research, supported by the “la Caixa” Foundation and in collaboration with the Barcelonaβeta Brain Research Center (BBRC), a Pasqual Maragall Foundation research centre, provides valuable insights into the complex relationship between stress and brain health.

Stressful Life Events refer to situations where objective external threats prompt behavioural and psychological responses, such as the death of a loved one, unemployment, or illness. There is growing evidence that stress could be associated with an increased risk of dementia and cognitive decline.

The research was conducted with a rigorous approach, aiming to determine whether the accumulation of stressful life events throughout an individual’s life could influence the development of pathologies related to Alzheimer’s in older age. To ensure comprehensive results, the research team engaged 1,290 volunteers from the ALFA cohort in Barcelona, also supported by the “la Caixa” Foundation. All participants were cognitively unimpaired at the study’s start but had a direct family history of Alzheimer’s disease.

The participants underwent interviews to evaluate their number of Stressful Life Events. They also underwent lumbar punctures and magnetic resonance imaging (MRI) to assess various biomarkers associated with Alzheimer’s disease.

The study highlighted midlife as a particularly vulnerable period. Statistical analysis showed that the accumulation of stressful events during this phase was linked to higher levels of β-amyloid (Aβ) protein, a critical factor in the development of Alzheimer’s disease. Eleni Palpatzis, an ISGlobal researcher and the first author of the study, noted that midlife might represent a susceptible period where psychological stress could have a lasting impact on brain health.

Additionally, the research indicated that higher levels of stressful experiences in childhood were associated with an increased risk of neuroinflammation in later life. Inflammation is a crucial molecular response in neurodegenerative diseases, and these findings align with emerging evidence that links childhood trauma to increased inflammation in adulthood.

The study also explored sex differences and the impact of stressors. It found that the accumulation of stressful life events was associated with higher levels of β-amyloid (Aβ) protein only in men. In women, however, more stressful experiences over life were linked to lower volumes of grey matter, suggesting that stress might have sex-specific effects on the brain.

Eider Arenaza-Urquijo, an ISGlobal researcher and the study’s last author, commented that the mechanisms through which life stressors affect brain health appear to differ between men and women, with amyloid protein accumulation observed in men and brain atrophy in women.

The study also highlighted that individuals with a psychiatric history might be more susceptible to the effects of stressful life events. This group showed higher levels of Aβ and tau proteins, neuroinflammation, and lower grey matter volume, potentially due to impaired stress-coping abilities making them more vulnerable.

The study’s findings, which support the notion that stress could significantly impact the development of Alzheimer’s disease, have potential implications for our understanding and management of this condition. The research provides preliminary insights into the mechanisms behind this effect, but further research is necessary to replicate and validate these initial findings, underscoring the importance of ongoing research in this field.

More information: Eleni Palpatzis et al, Lifetime Stressful Events Associated with Alzheimer’s Pathologies, Neuroinflammation and Brain Structure in a Risk Enriched Cohort, Annals of Neurology. DOI: 10.1002/ana.26881

Journal information: Annals of Neurology Provided by Barcelona Institute for Global Health (ISGLOBAL)

Utilising health records to anticipate patients’ susceptibility to falling

Using health records to forecast patients’ risk of falling within the next 12 months is feasible through a newly devised calculator based on NHS data. Known as eFalls, this falls prediction model utilises readily available primary care electronic health record data, marking a pioneering initiative globally. Developed and validated by researchers from the University of Leeds, the University of Birmingham, and a collaborative team supported by funding from the National Institute for Health and Care Research (NIHR), eFalls aims to pinpoint individuals at risk of hospitalisation or emergency department visits following a fall in the upcoming year. This proactive identification enables the provision of interventions to mitigate the occurrence of falls.

Detailed in a research paper published in Age and Ageing, the study underscores the significance of addressing falls among individuals aged 65 and above, given their potential impact on personal independence. The multifactorial nature of fall risks includes factors such as mobility or balance-affecting conditions, medications, and home hazards, with a history of falls being a prominent risk indicator. Moreover, the prevalence of falls is expected to escalate with the global ageing demographic.

The implications of these findings are substantial for proactive fall risk identification. By leveraging existing primary care data, eFalls streamlines the process, reducing the necessity for exhaustive clinical fall assessments and saving valuable time for healthcare professionals. Upon identification of individuals at risk, referral to specialist fall prevention services becomes feasible, facilitating assessment and treatment to avert future falls.

According to estimates from the National Institute for Health and Care Excellence (NICE), a significant proportion of falls result in severe injuries such as major lacerations, traumatic brain injuries, or fractures, alongside other complications such as distress, pain, and loss of independence. Andrew Clegg, Principal Investigator and Professor of Geriatric Medicine at the University of Leeds, emphasises the global significance of falls as a health concern, highlighting the proactive nature of eFalls in mitigating risks and reducing the burden on healthcare systems.

Lead author Lucinda Archer, Assistant Professor in Biostatistics at the University of Birmingham, underscores the potential of the eFalls calculator to predict fall risks based on existing GP records. Promising accuracy has been demonstrated through extensive testing across large datasets. Employing eFalls to target individuals needing specialist assessment holds promise for enhancing fall prevention services in the UK.

Health Minister Andrew Stephenson lauds innovations like eFalls for their potential to prevent falls, alleviate pain, and reduce resource strain on the NHS. As part of ongoing efforts to ensure timely and appropriate care, Stephenson underscores the importance of solutions like eFalls in addressing a widespread issue.

The research team embarked on a rigorous process to develop a robust method for proactively identifying individuals for fall prevention interventions, addressing the current scarcity of such systems. They drew from a vast dataset encompassing over 750,000 healthcare records to refine and validate the eFalls tool. This extensive testing demonstrated its potential in integrating with primary care electronic patient record systems in the UK, paving the way for its future implementation.

Looking ahead, the researchers aim to integrate the eFalls prediction model into UK primary care systems, collaborating with policymakers to explore its potential contributions to health policy. By harnessing the power of predictive analytics, eFalls represents a significant step towards enhancing preventive healthcare interventions and mitigating the burden of falls among older populations.

More information: Lucinda Archer et al, Development and external validation of the eFalls tool: a multivariable prediction model for the risk of ED attendance or hospitalisation with a fall or fracture in older adults, Age and Ageing. DOI: 10.1093/ageing/afae057

Journal information: Age and Ageing Provided by University of Leeds