RT Journal Article
SR Electronic
T1 Visual tests predict dementia risk in Parkinson disease
JF Neurology: Clinical Practice
FD Lippincott Williams & Wilkins
SP 29
OP 39
DO 10.1212/CPJ.0000000000000719
VO 10
IS 1
A1 Louise-Ann Leyland
A1 Fion D. Bremner
A1 Ribeya Mahmood
A1 Sam Hewitt
A1 Marion Durteste
A1 Molly R.E. Cartlidge
A1 Michelle M.-M. Lai
A1 Luke E. Miller
A1 Ayse P. Saygin
A1 Pearse A. Keane
A1 Anette E. Schrag
A1 Rimona S. Weil
YR 2020
UL http://cp.neurology.org/content/10/1/29.abstract
AB Objective To assess the role of visual measures and retinal volume to predict the risk of Parkinson disease (PD) dementia.Methods In this cohort study, we collected visual, cognitive, and motor data in people with PD. Participants underwent ophthalmic examination, retinal imaging using optical coherence tomography, and visual assessment including acuity and contrast sensitivity and high-level visuoperception measures of skew tolerance and biological motion. We assessed the risk of PD dementia using a recently described algorithm that combines age at onset, sex, depression, motor scores, and baseline cognition.Results One hundred forty-six people were included in the study (112 with PD and 34 age-matched controls). The mean disease duration was 4.1 (±2·5) years. None of these participants had dementia. Higher risk of dementia was associated with poorer performance in visual measures (acuity: ρ = 0.29, p = 0.0024; contrast sensitivity: ρ = −0.37, p < 0.0001; skew tolerance: ρ = −0.25, p = 0.0073; and biological motion: ρ = −0.26, p = 0.0054). In addition, higher risk of PD dementia was associated with thinner retinal structure in layers containing dopaminergic cells, measured as ganglion cell layer (GCL) and inner plexiform layer (IPL) thinning (ρ = −0.29, p = 0.0021; ρ = −0.33, p = 0.00044). These relationships were not seen for the retinal nerve fiber layer that does not contain dopaminergic cells and were not seen in unaffected controls.Conclusion Visual measures and retinal structure in dopaminergic layers were related to risk of PD dementia. Our findings suggest that visual measures and retinal GCL and IPL volumes may be useful to predict the risk of dementia in PD.