Study Objectives: Sleep disturbances are frequently reported following traumatic brain injury (TBI); however, the exact disturbances remain unclear. This meta-analysis aimed to characterize sleep disturbance in community dwelling patients with TBI as compared to controls.
Methods: Two investigators independently conducted a systematic search of multiple electronic databases from inception to May 27, 2015. Studies were selected if they compared sleep in community dwelling individuals with TBI relative to a control population without head injury. Data were pooled in meta-analysis with outcomes expressed as the standard mean difference (SMD) and 95% confidence interval (CI). The primary outcomes were derived from polysomnography and secondary outcomes were derived from subjective sleep measures.
Results: Sixteen studies were included, combining 637 TBI patients and 567 controls, all of whom were community dwelling. Pooled polysomnography data revealed that TBI patients had poorer sleep efficiency (SMD = -0.47, CI: -0.89, -0.06), shorter total sleep duration (SMD = -0.37, CI: -0.59, -0.16), and greater wake after sleep onset time (SMD = 0.60, CI: 0.33, 0.87). Although sleep architecture was similar between the groups, a trend suggested that TBI patients may spend less time in REM sleep (SMD = -0.22, CI: -0.45, 0.01). Consistent with polysomnographic derangement, TBI patients reported greater subjective sleepiness and poorer perceived sleep quality.
Conclusions: The evidence suggests that TBI is associated with widespread objective and subjective sleep deficits. The present results highlight the need for physicians to monitor and address sleep deficits following TBI.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773614 | PMC |
http://dx.doi.org/10.5664/jcsm.5598 | DOI Listing |
Alzheimers Dement
December 2024
Case Western Reserve University, Cleveland, OH, USA.
Background: Traumatic Brain Injury (TBI) is one of the most common nonheritable causes of Alzheimer's disease (AD). However, there is lack of effective treatment for both AD and TBI. We posit that network-based integration of multi-omics and endophenotype disease module coupled with large real-world patient data analysis of electronic health records (EHR) can help identify repurposable drug candidates for the treatment of TBI and AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Virginia, Charlottesville, VA, USA.
Background: Seizures are a common co-morbidity of dementia and are associated with accelerated cognitive decline. However, the impact of recurrent versus remote seizures on mortality outcomes in people with dementia (PWD) has not been studied. The purpose of our study is to fill this knowledge gap.
View Article and Find Full Text PDFFront Neurol
December 2024
Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States.
Background: Traumatic brain injury (TBI) disrupts normal brain tissue and functions, leading to high mortality and disability. Severe TBI (sTBI) causes prolonged cognitive, functional, and multi-organ dysfunction. Dysfunction of the autonomic nervous system (ANS) after sTBI can induce abnormalities in multiple organ systems, contributing to cardiovascular dysregulation and increased mortality.
View Article and Find Full Text PDFSurg Neurol Int
December 2024
Department of Anaesthesiology and Critical Care, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India.
Background: Propofol is one of the most used intravenous anesthetic agents in traumatic brain injury (TBI) patients undergoing emergency neurosurgical procedures. Despite being efficacious, its administration is associated with dose-related adverse effects. The use of adjuvants along with propofol aids in limiting its consumption, thereby mitigating the side effects related to propofol usage.
View Article and Find Full Text PDFSurg Neurol Int
December 2024
Department of Neurosurgery, Faculty of Medicine, Universitas Airlangga - Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
Background: Traumatic brain injury (TBI) remains the predominant cause of mortality and disability among the pediatric population. At present, there are no radiation-free, simple, and cost-effective tools available to assess the severity and prognosis of pediatric TBI. The systemic immune-inflammation index (SII), neutrophilto-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) serve as inflammatory biomarkers that may assist in predicting the outcome of pediatric TBI.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!