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Diagnosing and quantifying a common deficit in multiple sclerosis: Internuclear ophthalmoplegia
J A Nij Bijvank1, L J van Rijn2, L J Balk2
1From Amsterdam UMC (J.A.N.B., L.J.B., A.P.), Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Neuroscience Amsterdam; Amsterdam UMC (J.A.N.B., L.J.v.R., H.S.T., A.P.), Vrije Universiteit Amsterdam, Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Neuroscience Amsterdam; Onze Lieve Vrouwe Gasthuis (L.J.v.R., B.M.J.U.), Department of Ophthalmology, Amsterdam, the Netherlands; and Moorfields Eye Hospital and the National Hospital for Neurology and Neurosurgery (A.P.), London, UK. j.nijbijvank@vumc.nl.
A new infrared oculography method accurately diagnoses internuclear ophthalmoplegia (INO) in multiple sclerosis (MS). This quantitative approach reveals a 34% prevalence of INO in MS patients, impacting their quality of life.
Area of Science:
- Ophthalmology
- Neurology
- Medical Diagnostics
Background:
- Internuclear ophthalmoplegia (INO) is a common ocular motor disorder in multiple sclerosis (MS).
- Accurate and objective diagnosis of INO in MS is crucial for patient management and research.
- Current diagnostic methods may lack quantitative precision.
Purpose of the Study:
- To develop and validate an objective, quantitative approach for diagnosing INO in MS patients.
- To establish a standardized infrared oculography protocol for INO assessment.
- To determine the prevalence of INO in MS and its impact on quality of life.
Main Methods:
- A validated infrared oculography protocol (DEMoNS) was employed to quantify prosaccades in MS patients and healthy controls (HCs).
- The versional dysconjugacy index (VDI) was calculated using parameters like peak velocity, acceleration, and area under the curve (AUC).
- Receiver operating characteristic (ROC) analysis assessed diagnostic accuracy; the National Eye Institute Visual Function Questionnaire-25 evaluated quality of life.
Main Results:
- The highest diagnostic accuracy for INO was achieved using the VDI AUC of 15° horizontal prosaccades.
- A combined VDI AUC and peak velocity/amplitude detection identified a 34% prevalence of INO in the MS cohort.
- MS patients with INO reported more double vision and had lower vision-related quality of life compared to those without INO.
Conclusions:
- This study establishes an accurate, quantitative, and clinically relevant definition for INO in MS using infrared oculography.
- The developed INO standard requires prospective validation but offers a reliable model for future MS treatment trials.
- The high prevalence of INO in MS underscores its significance and potential as a quantifiable outcome measure.
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