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. 2017 Sep 5;89(10):1020-1027.
doi: 10.1212/WNL.0000000000004329. Epub 2017 Aug 4.

Longitudinal diffusion changes following postoperative delirium in older people without dementia

Collaborators, Affiliations

Longitudinal diffusion changes following postoperative delirium in older people without dementia

Michele Cavallari et al. Neurology. .

Abstract

Objective: To investigate the effect of postoperative delirium on longitudinal brain microstructural changes, as measured by diffusion tensor imaging.

Methods: We studied a subset of the larger Successful Aging after Elective Surgery (SAGES) study cohort of older adults (≥70 years) without dementia undergoing elective surgery: 113 participants who had diffusion tensor imaging before and 1 year after surgery. Postoperative delirium severity and occurrence were assessed during the hospital stay using the Confusion Assessment Method and a validated chart review method. We investigated the association of delirium severity and occurrence with longitudinal diffusion changes across 1 year, adjusting for age, sex, vascular comorbidity, and baseline cognitive performance. We also assessed the association between changes in diffusion and cognitive performance across the 1-year follow-up period, adjusting for age, sex, education, and baseline cognitive performance.

Results: Postoperative delirium occurred in 25 participants (22%). Delirium severity and occurrence were associated with longitudinal diffusion changes in the periventricular, frontal, and temporal white matter. Diffusion changes were also associated with changes in cognitive performance across 1 year, although the cognitive changes did not show significant association with delirium severity or occurrence.

Conclusions: Our study raises the possibility that delirium has an effect on the development of brain microstructural abnormalities, which may reflect brain changes underlying cognitive trajectories. Future studies are warranted to clarify whether delirium is the driving factor of the observed changes or rather a correlate of a vulnerable brain that is at high risk for neurodegenerative processes.

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Figures

Figure 1
Figure 1. Longitudinal diffusion changes associated with delirium severity in multiple linear regression analysis adjusted for age, sex, and vascular comorbidity
Areas showing decrease in fractional anisotropy and increase in mean diffusivity are overlaid to canonical T1-weighted images. Colors refer to t values of significant diffusion tensor imaging changes (one-tailed p < 0.05 after correction for multiple comparison within each cluster, cluster size ≥10,000) on a scale of 1.7 (red) to 5 (yellow).
Figure 2
Figure 2. Diffusion tensor imaging (DTI) changes over 1 year regardless of delirium status in multiple linear regression analysis adjusted for delirium severity, age, sex, vascular comorbidity, and baseline general cognitive performance
Areas showing decrease in fractional anisotropy and increase in mean diffusivity are overlaid to canonical T1-weighted images. Colors refer to t values of significant DTI changes (one-tailed p < 0.05 after correction for multiple comparison within each cluster, cluster size ≥5,000) on a scale of 2.4 (red) to 9 (yellow).
Figure 3
Figure 3. Diffusion changes associated with cognitive changes across 1 year in multiple linear regression analysis adjusted for age, sex, education, and baseline general cognitive performance
Areas showing decrease in fractional anisotropy and increase in mean diffusivity are overlaid to canonical T1-weighted images. Colors refer to t values of significant diffusion tensor imaging changes (one-tailed p < 0.05 after correction for multiple comparison within each cluster, cluster size ≥10,000) on a scale of 1.7 (red) to 5 (yellow).

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