作者
Haris Hakeem, Wei Feng, Zhibin Chen, Jiun Choong, Martin J Brodie, Si-Lei Fong, Kheng-Seang Lim, Junhong Wu, Xuefeng Wang, Nicholas Lawn, Guanzhong Ni, Xiang Gao, Mijuan Luo, Ziyi Chen, Zongyuan Ge, Patrick Kwan
发表日期
2022/10/1
期刊
JAMA neurology
卷号
79
期号
10
页码范围
986-996
出版商
American Medical Association
简介
Importance
Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-and-error approach. Under this approach, many patients have to endure sequential trials of ineffective treatments until the “right drugs” are prescribed.
Objective
To develop and validate a deep learning model using readily available clinical information to predict treatment success with the first ASM for individual patients.
Design, Setting, and Participants
This cohort study developed and validated a prognostic model. Patients were treated between 1982 and 2020. All patients were followed up for a minimum of 1 year or until failure of the first ASM. A total of 2404 adults with epilepsy newly treated at specialist clinics in Scotland, Malaysia, Australia, and China between 1982 and 2020 were considered for inclusion, of whom 606 (25.2%) were excluded from the final cohort because of missing information in 1 or more variables …
学术搜索中的文章
H Hakeem, W Feng, Z Chen, J Choong, MJ Brodie… - JAMA neurology, 2022