Development and Validation of a Clinical Score to Predict Epilepsy after Cerebral Venous Thrombosis

  • Erik Lindgren
  • , Liqi Shu
  • , Naaem Simaan
  • , Katarzyna Krzywicka
  • , Maria A. De Winter
  • , Mayte Sánchez Van Kammen
  • , Jeremy Molad
  • , Piers Klein
  • , Hen Hallevi
  • , Rani Barnea
  • , Mirjam R. Heldner
  • , Sini Hiltunen
  • , Diana Aguiar De Sousa
  • , José M. Ferro
  • , Antonio Arauz
  • , Jukka Putaala
  • , Marcel Arnold
  • , Thanh N. Nguyen
  • , Christoph Stretz
  • , Turgut Tatlisumak
  • Katarina Jood, Shadi Yaghi, Ronen R. Leker, Jonathan M. Coutinho*, Maryam Mansour, Patrícia Canhão, Esme Ekizoglu, Miguel Rodrigues, Elisa M. Silva, Carlos Garcia-Esperon, Valentina Arnao, Shorooq Aladin, Rom Mendel, Paolo Aridon, Mine Sezgin, Andrey Alasheev, Andrey Smolkin, Daniel Guisado-Alonso, Nilufer Yesilot, Miguel A. Barboza, Masoud Ghiasian, Suzanne M. Silvis, Ton Fang, James E. Siegler, Teddy Wu, Duncan Wilson, Syed Daniyal Asad, Sami Al Kasab, Eyad Almallouhi, Jennifer Frontera,
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Importance: One of 10 patients develop epilepsy in the late phase after cerebral venous thrombosis (CVT) diagnosis but predicting the individual risk is difficult. Objective: To develop and externally validate a prognostic score to estimate the individual risk of post-CVT epilepsy. Design, Setting, and Participants: This observational cohort study included both retrospective and prospective patients enrolled from 1994 through 2022. For development of the DIAS3 score, data from the International CVT Consortium (n = 1128), a large international hospital-based multicenter CVT cohort, were used. For validation, data from 2 independent multicenter cohorts, the ACTION-CVT (n = 543) and the Israel CVT study (n = 556), were used. Of 2937 eligible, consecutively enrolled adult patients with radiologically verified CVT, 710 patients with a history of epilepsy prior to CVT, follow-up less than 8 days, and missing late seizure status were excluded. Exposure: The prediction score (DIAS3) was developed based on available literature and clinical plausibility and consisted of 6 readily available clinical variables collected during the acute phase: decompressive hemicraniectomy, intracerebral hemorrhage at presentation, age, seizure(s) in the acute phase (excluding status epilepticus), status epilepticus in the acute phase, and subdural hematoma at presentation. Main Outcome and Measure: Time to a first late seizure, defined as occurring more than 7 days after diagnosis of CVT. Results: Of 1128 patients included in the derivation cohort (median age, 41 [IQR, 30-53] years; 805 women [71%]), 128 (11%) developed post-CVT epilepsy during a median follow-up of 12 (IQR, 3-26) months. According to the DIAS3 score, the predicted 1-year and 3-year risk of epilepsy in individual patients ranged from 7% to 68% and 10% to 83%, respectively. Internal and external validation showed adequate discrimination in the derivation cohort (1 year and 3 years: C statistic, 0.74; 95% CI, 0.70-0.79) and the 2 independent validation cohorts, (ACTION-CVT) 1 year: C statistic, 0.76; 95% CI, 0.67-0.84; 3 years: C statistic, 0.77; 95% CI, 0.66-0.84; and Israel CVT study 1 year: C statistic, 0.80; 95% CI, 0.75-0.86. Calibration plots indicated adequate agreement between predicted and observed risks. Conclusions and Relevance: The DIAS3 score (freely available online) is a simple tool that can help predict the risk of post-CVT epilepsy in individual patients. The model can improve opportunities for personalized medicine and may aid in decision-making regarding antiseizure medication, patient counseling, and facilitation of research on epileptogenesis in CVT.

Original languageEnglish
Pages (from-to)1274-1283
JournalJAMA Neurology
Volume81
Issue number12
DOIs
Publication statusPublished - 9 Dec 2024

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