{"title":"Prognostic Implications of Early Prediction in Posttraumatic Epilepsy","authors":"Yilun Chen, Stefanie P. Cappucci, Jennifer A. Kim","doi":"10.1055/s-0044-1785502","DOIUrl":null,"url":null,"abstract":"<p>Posttraumatic epilepsy (PTE) is a complication of traumatic brain injury that can increase morbidity, but predicting which patients may develop PTE remains a challenge. Much work has been done to identify a variety of risk factors and biomarkers, or a combination thereof, for patients at highest risk of PTE. However, several issues have hampered progress toward fully adapted PTE models. Such issues include the need for models that are well-validated, cost-effective, and account for competing outcomes like death. Additionally, while an accurate PTE prediction model can provide quantitative prognostic information, how such information is communicated to inform shared decision-making and treatment strategies requires consideration of an individual patient's clinical trajectory and unique values, especially given the current absence of direct anti-epileptogenic treatments. Future work exploring approaches integrating individualized communication of prediction model results are needed.</p> ","PeriodicalId":49544,"journal":{"name":"Seminars in Neurology","volume":"41 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/s-0044-1785502","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Posttraumatic epilepsy (PTE) is a complication of traumatic brain injury that can increase morbidity, but predicting which patients may develop PTE remains a challenge. Much work has been done to identify a variety of risk factors and biomarkers, or a combination thereof, for patients at highest risk of PTE. However, several issues have hampered progress toward fully adapted PTE models. Such issues include the need for models that are well-validated, cost-effective, and account for competing outcomes like death. Additionally, while an accurate PTE prediction model can provide quantitative prognostic information, how such information is communicated to inform shared decision-making and treatment strategies requires consideration of an individual patient's clinical trajectory and unique values, especially given the current absence of direct anti-epileptogenic treatments. Future work exploring approaches integrating individualized communication of prediction model results are needed.
期刊介绍:
Seminars in Neurology is a review journal on current trends in the evaluation, diagnosis, and treatment of neurological diseases. Areas of coverage include multiple sclerosis, central nervous system infections, muscular dystrophy, neuro-immunology, spinal disorders, strokes, epilepsy, motor neuron diseases, movement disorders, higher cortical function, neuro-genetics and neuro-ophthamology. Each issue is presented under the direction of an expert guest editor, and invited contributors focus on a single, high-interest clinical topic.
Up-to-the-minute coverage of the latest information in the field makes this journal an invaluable resource for neurologists and residents.