Cargando…
Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy
Objectives: The study aimed to explore the clinical predictors of pharmaco-resistance in patients with post-stroke epilepsy (PSE). Methods: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. The study outcome was the occurrence of pharmaco-res...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066362/ https://www.ncbi.nlm.nih.gov/pubmed/33810310 http://dx.doi.org/10.3390/brainsci11040418 |
_version_ | 1783682555734654976 |
---|---|
author | Lattanzi, Simona Rinaldi, Claudia Cagnetti, Claudia Foschi, Nicoletta Norata, Davide Broggi, Serena Rocchi, Chiara Silvestrini, Mauro |
author_facet | Lattanzi, Simona Rinaldi, Claudia Cagnetti, Claudia Foschi, Nicoletta Norata, Davide Broggi, Serena Rocchi, Chiara Silvestrini, Mauro |
author_sort | Lattanzi, Simona |
collection | PubMed |
description | Objectives: The study aimed to explore the clinical predictors of pharmaco-resistance in patients with post-stroke epilepsy (PSE). Methods: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. The study outcome was the occurrence of pharmaco-resistance defined as the failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules, whether as monotherapies or in combination, to achieve sustained seizure freedom. Results: One-hundred and fifty-nine patients with PSE and a median follow-up of 5 (3–9) years were included. The mean age of the patients at stroke onset was 56.7 (14.9) years, and 104 (65.4%) were males. In the study cohort, 29 participants were pharmaco-resistant. Age at stroke onset [odds ratio (OR) 0.97, 95% confidence interval (CI) 0.93–0.99; p = 0.044], history of intracerebral hemorrhage (OR 2.95, 95% CI 1.06–8.24; p = 0.039), severe stroke (OR 5.43, 95% CI 1.82–16.16; p = 0.002), status epilepticus as initial presentation of PSE (OR 7.90, 1.66–37.55; p = 0.009), and focal to bilateral tonic-clonic seizures (OR 3.19, 95% CI 1.16–8.79; p = 0.025) were independent predictors of treatment refractoriness. Conclusions: Pharmaco-resistance developed in approximately 20% of patients with PSE and was associated with younger age at stroke onset, stroke type and severity, status epilepticus occurrence, and seizure types. |
format | Online Article Text |
id | pubmed-8066362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80663622021-04-25 Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy Lattanzi, Simona Rinaldi, Claudia Cagnetti, Claudia Foschi, Nicoletta Norata, Davide Broggi, Serena Rocchi, Chiara Silvestrini, Mauro Brain Sci Brief Report Objectives: The study aimed to explore the clinical predictors of pharmaco-resistance in patients with post-stroke epilepsy (PSE). Methods: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. The study outcome was the occurrence of pharmaco-resistance defined as the failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules, whether as monotherapies or in combination, to achieve sustained seizure freedom. Results: One-hundred and fifty-nine patients with PSE and a median follow-up of 5 (3–9) years were included. The mean age of the patients at stroke onset was 56.7 (14.9) years, and 104 (65.4%) were males. In the study cohort, 29 participants were pharmaco-resistant. Age at stroke onset [odds ratio (OR) 0.97, 95% confidence interval (CI) 0.93–0.99; p = 0.044], history of intracerebral hemorrhage (OR 2.95, 95% CI 1.06–8.24; p = 0.039), severe stroke (OR 5.43, 95% CI 1.82–16.16; p = 0.002), status epilepticus as initial presentation of PSE (OR 7.90, 1.66–37.55; p = 0.009), and focal to bilateral tonic-clonic seizures (OR 3.19, 95% CI 1.16–8.79; p = 0.025) were independent predictors of treatment refractoriness. Conclusions: Pharmaco-resistance developed in approximately 20% of patients with PSE and was associated with younger age at stroke onset, stroke type and severity, status epilepticus occurrence, and seizure types. MDPI 2021-03-26 /pmc/articles/PMC8066362/ /pubmed/33810310 http://dx.doi.org/10.3390/brainsci11040418 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Brief Report Lattanzi, Simona Rinaldi, Claudia Cagnetti, Claudia Foschi, Nicoletta Norata, Davide Broggi, Serena Rocchi, Chiara Silvestrini, Mauro Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy |
title | Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy |
title_full | Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy |
title_fullStr | Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy |
title_full_unstemmed | Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy |
title_short | Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy |
title_sort | predictors of pharmaco-resistance in patients with post-stroke epilepsy |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066362/ https://www.ncbi.nlm.nih.gov/pubmed/33810310 http://dx.doi.org/10.3390/brainsci11040418 |
work_keys_str_mv | AT lattanzisimona predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT rinaldiclaudia predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT cagnetticlaudia predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT foschinicoletta predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT noratadavide predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT broggiserena predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT rocchichiara predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy AT silvestrinimauro predictorsofpharmacoresistanceinpatientswithpoststrokeepilepsy |