Prevalence of Visual Symptoms and Deficits Among Inpatients with Acquired Brain Injury
Camilla Biering Lundquist, Lars Evald, Simon Svanborg Kjeldsen, Lis Viborg, Rasmus Langelund Jørgensen, Jesper FabriciusObjectives: To determine the prevalence of visual deficits among inpatients with acquired brain injury, to examine the agreement between objective screenings and patient-reported visual deficits, and to investigate patient characteristics associated with visual deficits. Methods: This cross-sectional study included data on screened and patient-reported visual deficits in patients with acquired brain injury admitted for inpatient rehabilitation. The screenings were conducted by occupational therapists. Visual acuity and visual field were assessed in 2014–2023, and complemented by assessment of ocular motility and patient-reported deficits in 2021–2023. Predictive values were calculated for the agreement between screening results and patient-reported symptoms. Logistic regression models were applied to investigate the association between clinical characteristics and visual deficits. Results: 2814 patients were screened, 65% were men, the median age was 64 years, and the most common diagnosis was stroke (66%). In screened patients 32% had reduced visual acuity, 18% had ocular motility deficits, and 15% had visual field deficits. Of 975 patients providing self-reports, 38% reported vision problems. A total of 28% of patients who did not report visual deficits, had visual deficits in the objective screening. Lower functional level was associated with greater odds of having any visual deficits. Traumatic and anoxic brain injuries were associated with lower odds of visual field deficits compared with stroke. Conclusions: The high proportion of patients with visual deficits underlines that these are common consequences following acquired brain injury. Objective screening and patient-reported deficits offer overlapping yet distinct insights into visual deficits. Knowledge of clinical characteristics associated with visual deficits may help recognize high-risk subgroups.