Literature DB >> 19345070

Prognosis of patients with mesial temporal lobe epilepsy due to hippocampal sclerosis.

Asuman Orhan Varoglu1, Serap Saygi, Hamit Acemoglu, Abdurrahman Ciger.   

Abstract

PURPOSE: Hippocampal sclerosis (HS) is the most common pathology in mesial temporal lobe epilepsy (MTLE). There are a few reports concerning prognosis in patients with MTLE-HS treated medically. The study was carried out to determine the clinical risk factors affecting prognosis.
METHODS: We enrolled 287 patients with MTLE-HS treated medically. Gender, age at onset of epilepsy, history of trauma, infection, febrile convulsion, status epilepticus, mental retardation, handedness, consanguinity, side of hippocampal sclerosis, additional extrahippocampal temporal lesion, aura, seizures types, antiepileptic drugs, psychiatric disturbances and seizure frequency were noted. All patients were divided into three groups. Group I: patients seizure-free during follow up, Group II: patients with improved seizure control whose seizure frequency had decreased >50% after the treatment, and Group III: patients with poor seizure control whose seizure frequency had no change or increased. Each clinical feature was also compared among three subgroups statistically.
RESULTS: Early age of seizure onset [Group II-III (p=0.000) and Group I-III (p=0.0004)], age of head trauma [Group II-III (p=0.04)], the presence of mental retardation (p=0.04) and female sex (p=0.03) were risk factors for poor prognosis. However, the other parameters did not affect prognosis.
CONCLUSION: Recognizing bad prognostic features such as the presence of mental retardation, early age of seizure onset, age of head trauma and female gender may help physicians to identify risk groups with MTLE-HS and drug resistance seizures for epilepsy surgery.

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Year:  2009        PMID: 19345070     DOI: 10.1016/j.eplepsyres.2009.03.001

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  8 in total

1.  Pharmacoresistance with newer anti-epileptic drugs in mesial temporal lobe epilepsy with hippocampal sclerosis.

Authors:  Michael S Pohlen; Jingxiao Jin; Ronnie S Tobias; Atul Maheshwari
Journal:  Epilepsy Res       Date:  2017-09-19       Impact factor: 3.045

2.  Multimodal data and machine learning for surgery outcome prediction in complicated cases of mesial temporal lobe epilepsy.

Authors:  Negar Memarian; Sally Kim; Sandra Dewar; Jerome Engel; Richard J Staba
Journal:  Comput Biol Med       Date:  2015-06-19       Impact factor: 4.589

Review 3.  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

4.  Vagus nerve stimulation for genetic epilepsy with febrile seizures plus (GEFS+) accompanying seizures with impaired consciousness.

Authors:  Ryosuke Hanaya; Fajar H Niantiarno; Yumi Kashida; Hiroshi Hosoyama; Shinsuke Maruyama; Toshiaki Otsubo; Kazumi Tanaka; Atsushi Ishii; Shinichi Hirose; Kazunori Arita
Journal:  Epilepsy Behav Case Rep       Date:  2016-11-09

5.  A Prediction Algorithm for Drug Response in Patients with Mesial Temporal Lobe Epilepsy Based on Clinical and Genetic Information.

Authors:  Mariana S Silva-Alves; Rodrigo Secolin; Benilton S Carvalho; Clarissa L Yasuda; Elizabeth Bilevicius; Marina K M Alvim; Renato O Santos; Claudia V Maurer-Morelli; Fernando Cendes; Iscia Lopes-Cendes
Journal:  PLoS One       Date:  2017-01-04       Impact factor: 3.240

6.  The long-term prognosis of epilepsy patients with medically treated over a period of eight years in Turkey.

Authors:  Pelin Duman; Asuman Orhan Varoglu; Esra Kurum
Journal:  Pak J Med Sci       Date:  2017 Jul-Aug       Impact factor: 1.088

Review 7.  Multi-omic strategies applied to the study of pharmacoresistance in mesial temporal lobe epilepsy.

Authors:  Estela M Bruxel; Amanda M do Canto; Danielle C F Bruno; Jaqueline C Geraldis; Iscia Lopes-Cendes
Journal:  Epilepsia Open       Date:  2021-10-18

8.  Resection-inspired histopathological diagnosis of cerebral cavernous malformations using quantitative multiphoton microscopy.

Authors:  Shu Wang; Yueying Li; Yixuan Xu; Shiwei Song; Ruolan Lin; Shuoyu Xu; Xingxin Huang; Limei Zheng; Chengcong Hu; Xinquan Sun; Feng Huang; Xingfu Wang; Jianxin Chen
Journal:  Theranostics       Date:  2022-09-11       Impact factor: 11.600

  8 in total

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