Association of traumatic brain injury and Alzheimer disease onset: A systematic review

• Published in: Annals of physical and rehabilitation medicine Vol. 60; no. 5; pp. 347 - 356
• Main Authors: Julien, J, Joubert, S, Ferland, M.-C, Frenette, L.C, Boudreau-Duhaime, M.M, Malo-Véronneau, L, de Guise, E
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Masson SAS 01-09-2017
• Subjects: Adult; Aged; Aged, 80 and over; Alzheimer disease; Alzheimer Disease - etiology; Amnesia - etiology; Brain Injuries, Traumatic - complications; Cognition Disorders - etiology; Concussion; Dementia; Female; Glasgow coma scale score; Humans; Injury Severity Score; Internal Medicine; Loss of consciousness; Male; Middle Aged; Outcome; Physical Medicine and Rehabilitation; Post-traumatic amnesia; Review; Risk Factors; Severity; Traumatic brain injury; Loss of consciousness; Traumatic brain injury; Concussion; Post-traumatic amnesia; Alzheimer disease; Outcome; Severity; Glasgow coma scale score; Review; Dementia
• ISSN: 1877-0657; 1877-0665
• DOI: 10.1016/j.rehab.2017.03.009

Abstract Background Inconsistencies regarding the risk of developing Alzheimer disease after traumatic brain injury (TBI) remain in the literature. Indeed, why AD develops in certain TBI patients while others are unaffected is still unclear. Objective The aim of this study was to performed a systematic review to investigate whether certain variables related to TBI, such as TBI severity, loss of consciousness (LOC) and post-traumatic amnesia (PTA), are predictors of risk of AD in adults. Methods From 841 citations retrieved from MEDLINE via PubMed, EMBASE, PSYINFO and Cochrane Library databases, 18 studies were eligible for the review. Results The review revealed that about 55.5% of TBI patients may show deteriorated condition, from acute post-TBI cognitive deficits to then meeting diagnostic criteria for AD, but whether TBI is a risk factor for AD remains elusive. Conclusions Failure to establish such a link may be related to methodological problems in the studies. To shed light on this dilemma, future studies should use a prospective design, define the types and severities of TBI and use standardized AD and TBI diagnostic criteria. Ultimately, an AD prediction model, based on several variables, would be useful for clinicians detecting TBI patients at risk of AD.