Diagnostic approach to episodic ataxia types 1 and 2: a proposed algorithm for limited resource-settings

Background: gene). While EA1 may respond to some antiepileptics and EA2 responds to acetazolamide, no guideline exists to inform decision-making in settings where genetic testing is unavailable. Objectives: We sought to determine distinguishing clinical features between EA1 and EA2 and propose an algorithm based on our findings. Methods: followed by statistical analysis to compose a management algorithm. Subsequently, the algorithm was tested in cases described within the last three years. Results: = 0.003). Testing our algorithm in a case cohort yielded a sensitivity of 87.5% in identifying EA2 cases. Conclusion: EA1 and EA2 patients represent clinically different populations. We propose a management algorithm based on features with highest diagnostic accuracy, which may inform decision-making in resource-limited settings.