Individual prediction of motor vehicle accidents for patients with epilepsy.
Epilepsy Behav
; 121(Pt A): 108046, 2021 08.
Article
en En
| MEDLINE
| ID: mdl-34111767
ABSTRACT
The objective of the study was to design a clinically useful tool to predict the risk of seizure-related motor vehicle accidents (MVAs) for people with epilepsy (PWE). Participants were patients who visited our epilepsy center in West China Hospital from October 2012 to October 2019 and were divided into a primary cohort and a validation cohort. Ultimately, we included 525 patients in the primary cohort and 86 patients in the validation cohort. Proportional hazard regression was performed to measure the prognostic factors of car accidents. The outcome was used to create a nomogram model. The final model had 7 factors, with a C-index of 0.85 (95% CI, 0.80-0.91), to predict the possibility of non-MVA for PWE. For the validation cohort, the C-index was 0.83 (95% CI, 0.72-0.95). This nomogram model can offer more individualized advice to PWE who are still driving by estimating the risk of car accidents.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Conducción de Automóvil
/
Epilepsia
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
País/Región como asunto:
Asia
Idioma:
En
Revista:
Epilepsy Behav
Asunto de la revista:
CIENCIAS DO COMPORTAMENTO
/
NEUROLOGIA
Año:
2021
Tipo del documento:
Article