Literature DB >> 31792957

External validation and comparison of two prediction models for seizure recurrence after the withdrawal of antiepileptic drugs in adult patients.

Jiahe Lin1, Siqi Ding1, Xueying Li1, Yingjie Hua1, Xinshi Wang1, Ruqian He2, Yanru Du1, Niange Xia1, Yanyan Chen1, Zhenguo Zhu1, Rongyuan Zheng1, Huiqin Xu1.   

Abstract

OBJECTIVE: The models currently available for predicting the risk of seizure recurrence after antiepileptic drug (AED) withdrawal in adult epilepsy patients include the prediction model developed by Lamberink et al (Lamberink model, 2017) and the Medical Research Council prediction model (MRC model, 1993). However, there was no external validation for the two models. The purpose of this study was to perform an independent external validation and a comparison of the Lamberink model and the MRC model in adult patients.
METHODS: The study population was recruited from the Wenzhou Epilepsy Follow-up Registry Database (WEFURD). All the predictors of the Lamberink and MRC models and the occurrence of seizure recurrence in the participants were collected based on the WEFURD. Participants' predicted probabilities of seizure recurrence were obtained by a Web-based tool and the prognostic index formula. The external validation of the Lamberink model and the MRC model were quantified by discrimination, calibration, and decision curve analysis (DCA).
RESULTS: Of 212 patients, 126 (59.4%) had seizure recurrence after AED withdrawal. The Lamberink 2-year model, the Lamberink 5-year model, the MRC 1-year model, and the MRC 2-year model had areas under the curve of 0.71 (95% confidence interval [CI] = 0.64-0.78), 0.68 (95% CI = 0.60-0.76), 0.60 (95% CI = 0.50-0.69), and 0.58 (95% CI = 0.50-0.66), respectively. Additionally, the Lamberink 2-year model had a significantly better integrated discrimination improvement than the MRC 2-year model (P < .001). Regarding calibration, the Lamberink 2-year model (P = .121) and the MRC 1-year model (P = .264) were well calibrated, but the Lamberink 5-year model (P = .022) and the MRC 2-year model (P = .008) were not. In the DCA, the Lamberink 2-year model performed well at threshold probabilities of 30%-65%. SIGNIFICANCE: This external validation shows that the Lamberink 2-year model might be more accurate and has greater clinical benefit than others for guiding drug withdrawal in adult epilepsy clinics. Wiley Periodicals, Inc.
© 2019 International League Against Epilepsy.

Entities:  

Keywords:  adult epilepsy; drug withdrawal; external validation; prediction model; seizure recurrence

Mesh:

Substances:

Year:  2019        PMID: 31792957     DOI: 10.1111/epi.16402

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  4 in total

1.  Is the crystal ball broken? Another external validation of the post-withdrawal seizure-relapse prediction model.

Authors:  Samuel W Terman; Herm J Lamberink; Geertruida Slinger; Willem M Otte; James F Burke; Kees P J Braun
Journal:  Epilepsia       Date:  2021-10-11       Impact factor: 6.740

2.  Brain functional and structural characteristics of patients with seizure recurrence following drug withdrawal.

Authors:  Ge Tan; Xiuli Li; Deng Chen; Haijiao Wang; Qiyong Gong; Ling Liu
Journal:  Neuroradiology       Date:  2021-07-01       Impact factor: 2.804

3.  Reappraisal of the Medical Research Council Antiepileptic Drug Withdrawal Study: Contamination-adjusted and dose-response re-analysis.

Authors:  Samuel W Terman; Chang Wang; Lu Wang; Kees P J Braun; Willem M Otte; Geertruida Slinger; Wesley T Kerr; Morten I Lossius; Laura Bonnett; James F Burke; Anthony Marson
Journal:  Epilepsia       Date:  2022-05-18       Impact factor: 6.740

4.  Prediction of seizure recurrence risk following discontinuation of antiepileptic drugs.

Authors:  Margherita Contento; Bruno Bertaccini; Martina Biggi; Matteo Magliani; Ylenia Failli; Eleonora Rosati; Luca Massacesi; Marco Paganini
Journal:  Epilepsia       Date:  2021-07-12       Impact factor: 5.864

  4 in total

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