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Can chronic visual discomfort measures accurately predict acute symptoms?
Stefanie A Drew1, Eric Borsting, Amy E Escobar
1*PhD †OD, FAAO ‡OD, PhD §OD, MS ∥PhD, FAAO California State University, Northridge, Northridge, California (SAD); Southern California College of Optometry, Fullerton, California (EB); 2U, Inc., Landover, Maryland (AEE); and College of Optometry, Western University of Health Sciences, Pomona, California (CL, EC, CC).
Chronic visual discomfort surveys accurately predict acute symptoms after binocular vision tests. These validated screening tools help identify individuals with symptomatic binocular dysfunction.
Area of Science:
- Ophthalmology and Vision Science
- Neuroscience
- Clinical Psychology
Background:
- Chronic visual discomfort symptoms are common.
- Existing surveys assess symptom severity and frequency.
- Predictive models for acute symptoms post-binocular testing are lacking.
Purpose of the Study:
- To evaluate chronic visual discomfort symptom surveys' ability to predict acute symptoms.
- To determine if chronic symptom ratings can forecast discomfort after accommodation and vergence tests.
Main Methods:
- Administered Conlon et al. and Convergence Insufficiency Symptom Survey (CISS) to 40 participants.
- Assessed acute symptoms using Likert-scaled questions and general discomfort ratings post-binocular examination.
- Utilized binary logistic regression to analyze predictive accuracy.
Main Results:
- Chronic symptom surveys accurately predicted acute symptoms in approximately 75% of cases.
- Headache, soreness, and eye-related questions were strong predictors of acute outcomes.
- The CISS survey demonstrated significant predictive capability.
Conclusions:
- Chronic visual discomfort surveys, including CISS, are effective predictors of acute symptoms during binocular examinations.
- These surveys serve as valuable screening tools for symptomatic binocular dysfunction.
- Further research is needed to assess predictability for accommodative or vergence performance.
