Methods and kits for detection of blast brain injury, its severity, distance from blast epicenter, and classification relative to the larger spectrum of concussion
The present disclosure is directed to the first methods and systems for diagnosing a patient being affected by a brain injury from a blast with greater accuracy that previous methods. The methods and system include an automated, non-invasive method for assessing the variance of a patient's ocular motility relative to a matched cohort of unaffected subjects, and using the variance in one or more ocular motility metrics to calculate a score that indicates a likelihood that the patient suffers from a blast brain injury. The score, referred to as a BIS, discriminates between affected an unaffected subjects with a sensitivity of greater than about 85%, a specificity of greater than 75%. The ROCAUC of the BIS is greater than 0.85.
