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This review evaluated the evidence for psychological interventions to improve sleep and reduce fatigue after mild traumatic brain injury (mTBI). Eight electronic databases were searched up until August 2016 for studies that: 1) included adults; 2) tested intervention effectiveness on sleep quality and fatigue post-acutely; and 3) applied a broadly-defined psychological intervention (e.g., cognitive behavioral therapy [CBT], counseling, or education). Only randomized controlled trials were eligible for inclusion. Of the 698 studies identified, four met the eligibility criteria and underwent data extraction. These studies were assessed for risk of bias by two independent reviewers using the Scottish Intercollegiate Guidelines Network Methodology Checklist 2 for randomized controlled trials. One study applied CBT and three studies used enhanced education to improve outcomes. Limited evidence and methodological bias prevents strong conclusions about the effectiveness of psychological interventions for sleep and fatigue after mTBI. All but one study targeted general post-concussion symptoms rather than sleep or fatigue specifically. This runs the risk that the potential benefits of a targeted approach are underestimated in this literature, and future sleep- and fatigue-focused interventions are recommended. It is tentatively concluded that compared with standard care or the provision of generic advice, small improvements in sleep and fatigue are observed through psychological intervention post-mTBI.
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http://dx.doi.org/10.1089/neu.2016.4958 | DOI Listing |
J Transl Med
December 2024
Department of Rheumatology and Immunology, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Tianhe District, Guangzhou, China.
Background: Corona virus disease 2019 (COVID-19) reinfection, particularly short-term reinfection, poses challenges to the management of rheumatic diseases and may increase adverse clinical outcomes. This study aims to develop machine learning models to predict and identify the risk of short-term COVID-19 reinfection in patients with rheumatic diseases.
Methods: We developed four prediction models using explainable machine learning to assess the risk of short-term COVID-19 reinfection in 543 patients with rheumatic diseases.
J Am Heart Assoc
December 2024
National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences Auckland University of Technology Auckland New Zealand.
Background: Poststroke fatigue affects ≈50% of patients with stroke, causing significant personal, societal, and economic burden. In the FASTER (Fatigue After Stroke Educational Recovery) study, we assessed a group-based educational intervention for poststroke fatigue.
Methods And Results: Two hundred patients with clinically significant fatigue were included and randomized to either a general stroke education control or fatigue management group (FMG) intervention and assessed at baseline, 6 weeks, and 3 months.
Neuroscience
December 2024
Engineering Research Center of Molecular and Neuro Imaging of the Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Intelligent Non-invasive Neuromodulation Technology and Transformation Joint Laboratory, Xidian University, Xi'an, Shaanxi 710126, China; Guangzhou Institute of Technology, Xidian University, Xi'an, Shaanxi, China. Electronic address:
Background: In the face of inevitable declines in alertness and fatigue resulting from sleep deprivation, effective countermeasures are essential for maintaining performance. External trigeminal nerve stimulation (eTNS) presents a potential avenue for regulating alertness by activating the locus coeruleus and reticular activating system.
Methods: Here, we conducted a within-subject study with 66 habitual nappers, subjecting them to afternoon nap-deprivation and applying either 20-minute of 120 Hz eTNS or sham stimulation.
Rheumatology (Oxford)
December 2024
Department of Rheumatology, Erasmus MC, Rotterdam, The Netherlands.
Objectives: To evaluate the short and long term effects of an online, interactive, multifactorial lifestyle intervention program (Leef! Met Reuma) on health risk and all ICHOM-recommended patient reported outcome measures(PROMs) in patients with an Inflammatory Arthritis(IA), OsteoArthritis(OA) or FibroMyalgia(FM).
Methods: Patients with an IA, OA or FM, could register for the lifestyle intervention program. The program consists of a 3-month intensive part followed by a 21-month aftercare period and focuses on 4 pillars, namely nutrition, exercise, relaxation and sleep.
J Patient Rep Outcomes
December 2024
Department of Rheumatology, Hôpitaux Universitaires de Strasbourg, INSERM UMR-S 1109, Centre National de Référence des Maladies Auto-immunes Systémiques Rares (RESO), Strasbourg, France.
Objectives: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease with heterogeneous clinical manifestations which significantly impacts the daily lives of patients. Herein, we aimed to (i) investigate patients' perspectives on and experience with SLE; (ii) identify meaningful aspects of health (MAHs) and concepts of interest (COIs) in SLE that could be evaluated using digital clinical measures (DCMs); and (iii) identify target DCMs for their assessment.
Methods: A mixed-methods, multistep approach was deployed for (i) exploring patients' experience with SLE through a social media listening study and focused group discussions with patients; (ii) mapping patients' experiences to define MAHs and identify COIs measurable using DCMs; (iii) selecting DCMs for the target COIs; and (iv) identifying types of wearable sensors for measuring COIs in the patients.
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