An epilepsy type algorithm developed in India is accurate in Sudan: A prospective validation study.

Area of Science:

• Neurology
• Clinical Diagnostics
• Epidemiology

Background:

• Epilepsy presents significant challenges in lower- and middle-income countries (LMICs), where the majority of affected individuals reside and often lack access to treatment.
• Accurate diagnosis of epilepsy type (focal vs. generalised) is crucial for effective treatment but is often hindered by the unavailability of EEG and neuroimaging in resource-limited settings.

Purpose of the Study:

• To evaluate the accuracy of a previously derived eight-variable clinical algorithm for distinguishing between focal and generalised epilepsy in an adult Sudanese cohort.
• To determine if a clinical algorithm developed in one continent (Asia) can be reliably applied to patients in another (Africa).

Main Methods:

• A cohort of 150 adult Sudanese epilepsy patients, with epilepsy type confirmed by expert neurologists using EEG and neuroimaging (gold standard), were studied.
• Seven variables from a pre-existing algorithm were used to calculate the probability of focal versus generalised epilepsy.
• Performance metrics including sensitivity, specificity, accuracy, and Cohen's kappa statistic were calculated and compared against the gold standard.

Main Results:

• The seven-variable algorithm demonstrated high accuracy (92%) in classifying epilepsy type.
• Sensitivity for focal epilepsy was 99%, with a specificity of 72%.
• Cohen's kappa statistic of 0.773 indicated substantial agreement, and 94% of patients received probability scores strongly indicating either generalised (<0.1) or focal (>0.9) epilepsy.

Conclusions:

• The study confirms the high accuracy and applicability of the clinical algorithm for epilepsy type determination in Sudan, supporting its use in diverse geographical settings.
• This validated algorithm offers a practical solution for epilepsy diagnosis in resource-limited areas, potentially reducing the treatment gap.
• The algorithm empowers clinicians, including those with limited epilepsy experience, to confidently manage patients by providing individualized probability scores for appropriate anti-seizure medication selection.