INS NYC 2024 Program

Symposium	Symposia 12 Program Schedule 02/16/2024 01:45 pm - 03:15 pm Room: West Side Ballroom - Salon 3 Symposia 12: Beyond Assessment: Integrating Rehabilitation Models into the Neuropsychology of Epilepsy Across the Lifespan and Around the Globe Simposium #2 Predicting Outcomes and Preparing People with Epilepsy for Surgery: An introduction to the ‘red flags’ project Sallie Baxendale, UCL Queen Square Institute of Neurology, London, United Kingdom Category: Epilepsy/Seizures Keyword 1: cognitive rehabilitation Objective: Whilst resections can be standardised, neuropsychological changes following epilepsy surgery are not. Postoperative cognitive ability depends on the complex interplay of the functions destroyed, compromised, released and unaffected by the resection. Several clinical, neuropsychological and demographic factors serve as biomarkers for these processes and statistical models can utilise these variables to predict the likelihood of significant postoperative decline on a range of individual test scores for individual surgical candidates. These predictions can provide a rational basis for the preoperative counselling and preparation (prehabilitation) of prospective surgical candidates. However, many clinicians are unable to utilise these nomograms as they require the input of scores on specific tests, which have been normed on English speaking samples from the USA or UK. This presentation will introduce the ‘red flags’ initiative, a project designed to overcome these limitations. Participants and Methods: A meta-analyses of the cognitive outcome literature in epilepsy surgery in adults identified 102 studies which have reported predictors of cognitive decline following surgery. Results: Significant predictors include age, good preoperative function, side of surgery, sex, aetiology, and neurophysiological and neuroradiological characteristics. These predictors have been weighted and combined in a qualitative model that identifies the number of ‘red flags’ for cognitive decline in a model with universal applicability for all epilepsy surgery patients. Conclusions: This presentation will introduce the ‘red flags’ web interface to the epilepsy community and explore the ways in which it can be used in the preoperative preparation of epilepsy surgery candidates.

Symposium

02/16/2024
01:45 pm - 03:15 pm
Room: West Side Ballroom - Salon 3

Symposia 12: Beyond Assessment: Integrating Rehabilitation Models into the Neuropsychology of Epilepsy Across the Lifespan and Around the Globe

Simposium #2

Predicting Outcomes and Preparing People with Epilepsy for Surgery: An introduction to the ‘red flags’ project

Sallie Baxendale, UCL Queen Square Institute of Neurology, London, United Kingdom

Category: Epilepsy/Seizures

Keyword 1: cognitive rehabilitation

Objective:

Whilst resections can be standardised, neuropsychological changes following epilepsy surgery are not. Postoperative cognitive ability depends on the complex interplay of the functions destroyed, compromised, released and unaffected by the resection. Several clinical, neuropsychological and demographic factors serve as biomarkers for these processes and statistical models can utilise these variables to predict the likelihood of significant postoperative decline on a range of individual test scores for individual surgical candidates. These predictions can provide a rational basis for the preoperative counselling and preparation (prehabilitation) of prospective surgical candidates. However, many clinicians are unable to utilise these nomograms as they require the input of scores on specific tests, which have been normed on English speaking samples from the USA or UK. This presentation will introduce the ‘red flags’ initiative, a project designed to overcome these limitations.

Participants and Methods:

A meta-analyses of the cognitive outcome literature in epilepsy surgery in adults identified 102 studies which have reported predictors of cognitive decline following surgery.

Results:

Significant predictors include age, good preoperative function, side of surgery, sex, aetiology, and neurophysiological and neuroradiological characteristics. These predictors have been weighted and combined in a qualitative model that identifies the number of ‘red flags’ for cognitive decline in a model with universal applicability for all epilepsy surgery patients.

Conclusions:

This presentation will introduce the ‘red flags’ web interface to the epilepsy community and explore the ways in which it can be used in the preoperative preparation of epilepsy surgery candidates.