Literature DB >> 31248935

Prognostic patterns and predictors in epilepsy: a multicentre study (PRO-LONG).

Ettore Beghi1, Simone Beretta2, Davide Carone2, Clara Zanchi2, Elisa Bianchi3, Marta Pirovano2, Claudia Trentini2, Giada Padovano2, Matteo Colombo2, Diletta Cereda2, Sofia Scanziani2, Giorgia Giussani3, Sara Gasparini4,5, Graziella Bogliun2, Carlo Ferrarese2.   

Abstract

OBJECTIVES: To describe the long-term prognosis of epilepsy and prognostic patterns in a large cohort of newly diagnosed patients and identify prognostic factors.
METHODS: Study participants were 13 Italian epilepsy centres with accessible records dating back to 2005 or earlier, complete data on seizure outcome and treatments, precise epilepsy diagnosis, and follow-up of at least 10 years. Records were examined by trained neurology residents for demographics, seizure characteristics, neurological signs, psychiatric comorbidity, first electroencephalogram (EEG) and MRI/CT, epilepsy type and aetiology, antiepileptic drugs (AEDs), and 1-year, 2-year, 5-year and 10-year seizure remissions. Five predefined prognostic patterns were identified: early remission, late remission, relapsing-remitting course, worsening course and no remission. Prognostic factors were assessed using multinomial logistic regression models.
RESULTS: 1006 children and adults were followed for 17 892 person-years (median 16 years; range 10-57). During follow-up, 923 patients (91.7%) experienced 1-year remission. 2-year, 5-year and 10-year remissions were present in 89.5%, 77.1% and 44.4% of cases. 5-year remission was associated with one to two seizures at diagnosis, generalised epilepsy, no psychiatric comorbidity, and treatment with one or two AEDs during follow-up. 10-year remission was associated with one or two AEDs. The most common prognostic pattern was relapsing-remitting (52.2%), followed by early remission (24.5%). 8.3% of cases experienced no remission. Predictors of a relapsing-remitting course were <6 seizures at diagnosis, (presumed) genetic aetiology and no psychiatric comorbidity.
CONCLUSIONS: Few seizures at diagnosis, generalised epilepsy and no psychiatric comorbidity predict early or late seizure freedom in epilepsy. Achieving remission at any time after the diagnosis does not exclude further relapses. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epilepsy; long-term prognosis; prognostic patterns; prognostic predictors

Year:  2019        PMID: 31248935     DOI: 10.1136/jnnp-2019-320883

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  6 in total

Review 1.  Different Prognostic Patterns in Epilepsies and Considerations About the Denotations of Atypical Patterns.

Authors:  Arife Çimen Atalar; Betül Baykan
Journal:  Noro Psikiyatr Ars       Date:  2022-01-31       Impact factor: 1.339

Review 2.  Genetic generalized epilepsies in adults - challenging assumptions and dogmas.

Authors:  Bernd J Vorderwülbecke; Britta Wandschneider; Yvonne Weber; Martin Holtkamp
Journal:  Nat Rev Neurol       Date:  2021-11-26       Impact factor: 42.937

3.  Long-term follow-up of a large cohort with focal epilepsy of unknown cause: deciphering their clinical and prognostic characteristics.

Authors:  Arife Çimen Atalar; Ebru Nur Vanlı-Yavuz; Ebru Yılmaz; Nerses Bebek; Betül Baykan
Journal:  J Neurol       Date:  2019-12-02       Impact factor: 4.849

4.  Treatment response and predictors in patients with newly diagnosed epilepsy in Ethiopia: a retrospective cohort study.

Authors:  Kidu Gidey; Legese Chelkeba; Tadesse Dukessa Gemechu; Fekede Bekele Daba
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

5.  Stress Testing Pathology Models with Generated Artifacts.

Authors:  Nicholas Chandler Wang; Jeremy Kaplan; Joonsang Lee; Jeffrey Hodgin; Aaron Udager; Arvind Rao
Journal:  J Pathol Inform       Date:  2021-12-24

6.  Generalized Fast Discharges Along the Genetic Generalized Epilepsy Spectrum: Clinical and Prognostic Significance.

Authors:  Emanuele Cerulli Irelli; Francesca Antonietta Barone; Luisa Mari; Alessandra Morano; Biagio Orlando; Enrico Michele Salamone; Angela Marchi; Martina Fanella; Jinane Fattouch; Fabio Placidi; Anna Teresa Giallonardo; Francesca Izzi; Carlo Di Bonaventura
Journal:  Front Neurol       Date:  2022-03-10       Impact factor: 4.003

  6 in total

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