Risk Factors for Seizure Worsening After Epilepsy Surgery in Children and Adults: A Population-Based Register Study

Predicting postoperative epilepsy surgery satisfaction in adults using the 19-item Epilepsy Surgery Satisfaction Questionnaire and machine learning

OBJECTIVE

The 19-item Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19) is a validated and reliable post hoc means of assessing patient satisfaction with epilepsy surgery. Prediction models building on these data can be used to counsel patients.

METHODS

The ESSQ-19 was derived and validated on 229 patients recruited from Canada and Sweden. We isolated 201 (88%) patients with complete clinical data for this analysis. These patients were adults (≥18 years old) who underwent epilepsy surgery 1 year or more prior to answering the questionnaire. We extracted each patient's ESSQ-19 score (scale is 0-100; 100 represents complete satisfaction) and relevant clinical variables that were standardized prior to the analysis. We used machine learning (linear kernel support vector regression [SVR]) to predict satisfaction and assessed performance using the R² calculated following threefold cross-validation. Model parameters were ranked to infer the importance of each clinical variable to overall satisfaction with epilepsy surgery.

RESULTS

Median age was 41 years (interquartile range [IQR] = 32-53), and 116 (57%) were female. Median ESSQ-19 global score was 68 (IQR = 59-75), and median time from surgery was 5.4 years (IQR = 2.0-8.9). Linear kernel SVR performed well following threefold cross-validation, with an R² of .44 (95% confidence interval = .36-.52). Increasing satisfaction was associated with postoperative self-perceived quality of life, seizure freedom, and reductions in antiseizure medications. Self-perceived epilepsy disability, age, and increasing frequency of seizures that impair awareness were associated with reduced satisfaction.

SIGNIFICANCE

Machine learning applied postoperatively to the ESSQ-19 can be used to predict surgical satisfaction. This algorithm, once externally validated, can be used in clinical settings by fixing immutable clinical characteristics and adjusting hypothesized postoperative variables, to counsel patients at an individual level on how satisfied they will be with differing surgical outcomes.

'In the best case seizure-free' - Parental hopes and worries before and satisfaction after their child's epilepsy surgery

OBJECTIVE

The objective of this study was to gain a better understanding of parental hopes and worries before and subsequent experiences two years after their child had undergone epilepsy surgery.

METHODS

The parents of 107 children and young people who underwent epilepsy surgery at a single center completed surveys focusing on hopes and concerns before surgery and subsequent experiences at two-year follow-up. Responses were analyzed by thematic analysis.

RESULTS

Before surgery, parental hopes focus on not only seizure freedom or reduction but also potential improvements in child development and emotional-behavioral functioning. Worries before surgery include not only potential injury or loss of skills but also a concern that the surgical procedure would not lead to an improvement in the child's seizures. The vast majority of parents experienced positive aspects at the two-year follow-up including seizure freedom or reduction but also perceived improvements in behavior, development, and sleep. This suggests that for many, expectations for the surgery were met. A small number of parents reported negative effects of surgery including loss of skills, worsening/lack of improvement in seizure frequency, or negative impact on development.

SIGNIFICANCE

For the majority of parents whose children undergo surgery, expectations are met, and fears are not realized. Knowledge of parental hopes and worries before surgery as well as experiences after the operation is useful for improving pre- and postsurgical counseling.