Consistency of traumatic brain injury reporting in older adults with and without cognitive impairment

Abstract

Objective: Medical history information regarding prior traumatic brain injury (TBI) usually relies on self-report, although little is known about the reliability of this information with regard to injuries sustained years or decades earlier. Even less is known about the reliability of self-reported medical history information in older individuals with cognitive impairment. To this end, we assessed the test-retest reliability of self-reported TBI history in a large, national sample. Methods: Participants (n = 4309) were older adults with intact cognition, mild cognitive impairment (MCI) and Alzheimer’s disease (AD) from the National Alzheimer’s Coordinating Center. Subjects provided TBI history information at baseline and one annual follow-up visit. Consistency of self-reported history of TBI with <5 minutes loss of consciousness (mLOC) and TBI with ≥5 mLOC reported at time 1 and 2 was analyzed across diagnostic groups. Results: Overall, subjects provided reports of TBI history at follow-up that were highly consistent with baseline reports (97.8–99.6% agreement), and Cohen’s kappa coefficients were all larger than .80 and statistically significant, maximum p < .001. Furthermore, level of cognitive impairment was not a significant predictor of consistency in reporting. Conclusions: These data are some of the first to suggest that self-report may be a consistent method of obtaining remote TBI history in the absence of medical records for older individuals, regardless of cognitive impairment.

Keywords:

• Traumatic brain injury
• concussion
• Alzheimer’s disease
• cognitive impairment
• dementia

Acknowlegement

This work was supported in part by the Texas Institute for Brain Injury and Repair at the University of Texas Southwestern Medical Center and UT Southwestern’s Alzheimer’s Disease Center [NIA grant number P3012300-19]. Additional support was provided by the Texas Alzheimer’s Research and Care Consortium (TARCC) and the Darrell K Royal Texas Alzheimer’s Initiative, directed by the Texas Council on Alzheimer’s Disease and Related Disorders. The NACC database is funded by NIA/NIH grant number U01 AG016976. NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), P50 AG047270 (PI Stephen Strittmatter, MD, PhD).