Predicting epilepsy surgery outcome in adult patients: May psychiatric diagnosis improve predictive models?
Epilepsy Res
; 175: 106690, 2021 Sep.
Article
em En
| MEDLINE
| ID: mdl-34186383
ABSTRACT
OBJECTIVE:
With this study, we aimed to assess the importance of including psychiatric disorders in a comprehensive prediction model for epilepsy surgery.METHODS:
Ambispective observational study with a sample of adults who underwent resective surgery. Participants were evaluated, before and one year after surgery, to collect data regarding their neurological and psychiatric history. The one-year post-surgical outcome was classified according to the Engel Outcome Scale. Previously identified predictors of post-surgical Engel Class were included in a logistic regression model. Then, the accuracy of alternative predictive models, including or excluding, past and current psychiatric diagnoses, were tried.RESULTS:
One hundred and forty-six people participated in this study. The inclusion of psychiatric diagnosis resulted in a model with a higher AUC curve, however, the Delong method showed no significant statistical differences between the models.SIGNIFICANCE:
Despite the fact that presurgical psychiatric diagnoses have shown to contribute to the prediction of epilepsy surgery outcome they do not contribute to a significant improvement of predictive models.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Epilepsia
/
Transtornos Mentais
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article