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Issue title: Sleep Following Traumatic Brain Injury
Guest editors: David L. Ripley
Article type: Research Article
Authors: Bell, Kathleen R.a | Bushnik, Tamarab; * | Dams-O’Connor, Kristenc; d | Goldin, Yelenae; f | Hoffman, Jeanne M.g | Lequerica, Anthony H.h; i | Nakase-Richardson, Risaj; k | Zumsteg, Jennifer M.g
Correspondence: [*] Address for correspondence: Tamara Bushnik, PhD, FACRM, Associate Professor, Rusk Rehabilitation, NYU Langone Health, 240 East 38th Street, 17-48, New York, NY 10016, USA. Tel.: +1 212 263 6547; Fax: +1 212 263 2683; E-mail: [email protected].
Abstract: BACKGROUND: Identification and management of comorbidities in TBI has become an increasing focus for optimizing TBI outcomes. Recent meta-analyses highlight sleep disturbance and sleep disorders following TBI (Mathias & Alvaro, 2012). Improving the recognition and treatment of sleep disorders in TBI should be a central focus of rehabilitation. The Traumatic Brain Injury Model System (TBIMS) has created an infrastructure allowing multi-center investigations into sleep dysfunction in those who have had a moderate to severe TBI and received inpatient rehabilitation. OBJECTIVE: This paper will describe the 1) infrastructure used to advance sleep dysfunction/disorders research following TBI, 2) preliminary findings from these studies, and 3) repository of data which can be accessed for secondary analyses by investigators outside of the TBIMS infrastructure. METHODS: Two internal mechanisms allow investigators at TBIMS sites to collaborate on projects of shared interest: Research Modules and Special Interest Groups (SIG). RESULTS: To date, five studies have resulted from the TBIMS collaborative process focusing on insomnia, circadian disruption, and sleep apnea. CONCLUSIONS: Future directions for the SIG include continued development of available knowledge and understanding of the multidimensional factors that contribute to TBI-related sleep disturbance, optimal assessment tools, effectiveness of available treatments, and treatment compliance in this population.
Keywords: Sleep disorders, sleep dysfunction, traumatic brain injury, traumatic brain injury model systems
DOI: 10.3233/NRE-182538
Journal: NeuroRehabilitation, vol. 43, no. 3, pp. 287-296, 2018
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