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Article type: Research Article
Authors: Gardner, Raquel C.a; b; c; * | Rivera, Ernestoa; 1 | O’Grady, Megand | Doherty, Coline | Yaffe, Kristinea; b; c; f | Corrigan, John D.g | Bogner, Jenniferg | Kramer, Joela; c | Wilson, Fionad
Affiliations: [a] Memory and Aging Center, Department of Neurology, University of California San Francisco, Sandler Neurosciences Center, San Francisco, CA, USA | [b] San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA | [c] Global Brain Health Institute, University of California San Francisco, Sandler Neurosciences Center, San Francisco, CA, USA | [d] Discipline of Physiotherapy, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland | [e] Trinity Institute of Neurosciences (TCIN), School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland | [f] Departments of Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA | [g] Department of Physical Medicine & Rehabilitation, The Ohio State University, Columbus, OH, USA
Correspondence: [*] Correspondence to: Raquel C. Gardner, San Francisco VA Medical Center, 4150 Clement St. Neurology 127, San Francisco, CA 94121, USA. Tel.: +1 917 902 5063; Fax: +1 415 750 2273; E-mail: [email protected].
Note: [1] Present address: University of California Davis School of Medicine, Sacramento, CA, USA.
Abstract: Background:Traumatic brain injury (TBI) is an established risk factor for dementia but mechanisms are uncertain. Accurate TBI exposure classification is critical for cognitive aging research studies seeking to discover mechanisms and treatments of post-TBI dementia. Brief TBI screens, commonly used in epidemiological studies of cognitive aging, are insensitive, leading to exposure mis-classification. Comprehensive TBI interviews, while more sensitive, may be impractical. Objective:We aimed to develop and validate a scalable, self-administered, comprehensive, web-based, TBI exposure survey for use in international cognitive aging research. Methods:We adapted a gold-standard comprehensive TBI interview (the Ohio State University TBI Identification Method; OSU TBI-ID) into a self-administered web-based survey for older adults (Older Adult modification of the OSU TBI-ID; OA OSU TBI-ID). We assessed reliability of our web-based survey versus the gold-standard interview among 97 older adults with normal cognition and mild cognitive impairment (MCI). In addition, we assessed sensitivity of the National Alzheimer’s Coordinating Center Uniform Data Set (NACC UDS) brief TBI screen versus the interview among 70 older adults with normal cognition. Results:Our OA OSU TBI-ID web-based survey had good to excellent reliability versus the interview (κ 0.66–0.73; ICCs 0.68–0.81) even among the sub-set with MCI (κ 0.74–0.88; ICCs 0.76–0.85), except for several age-at-injury variables. The NACC UDS brief TBI screen missed 50% of TBI exposures identified using the OSU TBI-ID interview. Conclusion:The OSU TBI-ID interview and web-based survey may facilitate more accurate TBI exposure classification in cognitive aging research thereby accelerating discovery of targetable mechanisms of post-TBI dementia.
Keywords: Clinical research, cognitive aging, reliability, screening, traumatic brain injury, validation
DOI: 10.3233/JAD-191138
Journal: Journal of Alzheimer's Disease, vol. 74, no. 2, pp. 699-711, 2020
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