Vagus nerve stimulation outcome prediction: from simple parameters to advanced models

Chrastina J, Novak Z, Zeman T, Dolezalova I, Zatloukalova E, Brazdil M.

Bratisl Lek Listy. 2022;123(9):641-647.
DOI: 10.4149/BLL_2022_103


Optimizing patient selection by identifying #predictors of effect for vagus nerve stimulation (#VNS) Therapy in drug-resistant epilepsy (#DRE) is critical to lower the number of unnecessary surgical procedures and the related costs.   

This new scientific #review provides an overview of potential predictive factors/models for VNS outcomes in DRE. The publication discusses predictors based on simple data as well as complex EEG processing and prediction models based on studies of brain connectivity. 

Overall, the data suggest a more favorable response to VNS Therapy in patients with bilateral interictal epileptiform discharges (#IEDs), after early device implantation (younger patients), and in patients with an epilepsy etiology of tuberous sclerosis (#TSC) or posttraumatic epilepsy.

Previous
Previous

Yield and risk associated with prolonged presurgical video-EEG monitoring: a systematic review

Next
Next

Vagus nerve stimulation in patients with Lennox-Gastaut syndrome: A meta-analysis