A Systematic Review and Meta-Analysis on the Identification of Predictors Associated With Insomnia or Sleep Disturbance in Post-stroke Patients.

The aim of this study was to identify the factors associated with sleep disturbances in individuals after a stroke. To systematically identify relevant studies, an extensive search strategy was devised. We conducted comprehensive searches in major electronic databases including PubMed, Embase, PsycINFO, and Cochrane Library. The search was limited to articles published in English between January 1, 2011, and February 10, 2024. Pooled effect estimates, such as odds ratio (OR) or mean difference (MD) along with their confidence interval (CIs), were calculated using random-effects models for categorical variables and continuous variables, respectively. A total of nine studies were included in this meta-analysis. The pooled prevalence of insomnia across the included studies was determined to be 40% (95% CI = 30%-49%), with individual study prevalence ranging from 22% to 72%. A pooled analysis showed that gender demonstrated a statistically significant association with sleep disturbance, with females exhibiting a higher likelihood (OR = 1.49, 95% CI = 1.16-1.91, p = 0.002) compared to males. The National Institutes of Health Stroke Scale (NIHSS) score, a measure of stroke severity, was associated with sleep disturbance (MD = 0.86, 95% CI = 0.56-1.17, p = 0.001), indicating that patients with severe strokes may be more prone to sleep disturbances. These findings underscore the importance of comprehensive evaluation and targeted interventions to address sleep-related issues in stroke patients, particularly those with severe neurological impairment.

Brain banking in the United States and Europe: Importance, challenges, and future trends.

In recent years, brain banks have become valuable resources for examining the molecular underpinnings of various neurological and psychological disorders including Alzheimer disease and Parkinson disease. However, the availability of brain tissue has significantly declined. Proper collection, preparation, and preservation of postmortem autopsy tissue are essential for optimal downstream brain tissue distribution and experimentation. Collaborations between brain banks through larger networks such as NeuroBioBank with centralized sample request mechanisms promote tissue distribution where brain donations are disproportionately lower. Collaborations between brain banking networks also help to standardize the brain donation and sample preparation processes, ensuring proper distribution and experimentation. Ethical brain donation and thorough processing enhances the responsible conduct of scientific studies. Education and outreach programs that foster collaboration between hospitals, nursing homes, neuropathologists, and other research scientists help to alleviate concerns among potential brain donors. Furthermore, ensuring that biorepositories accurately reflect the true demographics of communities will result in research data that reliably represent populations. Implementing these measures will grant scientists improved access to brain tissue, facilitating a deeper understanding of the neurological diseases that impact millions.

Meta-Analysis on the Impact of Inflammatory Rheumatological Conditions on Outcomes Following Acute Coronary Syndrome.

Inflammatory rheumatological conditions, also known as inflammatory rheumatic conditions (IRC), constitute a category of autoimmune and inflammatory ailments primarily affecting the musculoskeletal system, encompassing the joints, muscles, and connective tissues. The objective of this meta-analysis is to evaluate the impact of inflammatory rheumatological conditions (IRC) on post-acute coronary syndrome (ACS) outcomes. This study was performed as per the preferred reporting items for systematic review and meta-analysis (PRISMA) guidelines. The PubMed, Web of Science, and Scopus databases were searched by two authors without any language constraints from January 1, 2015, to October 15, 2023. The primary outcome assessed in this meta-analysis was all-cause mortality. Other outcomes included myocardial infarction and revascularization. A total of 11 studies were included in this meta-analysis. The risk of all-cause mortality was significantly higher in patients with IRC compared to non-IRC patients (RR: 1.12, 95% CI: 1.00 to 1.26, p-value: 0.04). There is a significantly higher risk of myocardial infarction and revascularization in patients with IRC as opposed to those without IRC. Furthermore, while there was a higher risk of stroke in the IRC group compared to the non-IRC group, this disparity did not reach statistical significance. Future research should focus on specific inflammatory rheumatoid conditions, a comprehensive evaluation of cardiovascular events, and targeted interventions to enhance patient outcomes in this vulnerable population.