Predictive factors of epilepsy outcome in a sample of Egyptian pre-elderly and elderly population
Background Elderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are inconclusive or are not known for the majority of patients. This is especially true for the Egyptian population as no specific study was conclud...
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Published in | The Egyptian Journal of Neurology, Psychiatry and Neurosurgery Vol. 57; no. 1; pp. 1 - 7 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.04.2021
Springer Nature B.V SpringerOpen |
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Abstract | Background
Elderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are inconclusive or are not known for the majority of patients. This is especially true for the Egyptian population as no specific study was concluded to address this issue before.
Objectives
The aim of this study was to detect the predictive factors of epilepsy outcome in a sample of Egyptian aged population.
Materials and methods
A total of 100 patients aged 50 years or older with epilepsy diagnosed according to International League Against Epilepsy (ILAE) latest definition were included in the study and followed up for 6 months as regards seizure control. All participants were prospectively evaluated for epidemiological, clinical, radiological, electrodiagnostic, and laboratory data.
Results
The outcome was statistically significant affected in relation to absence of medical comorbidities (
P
= 0.037), seizure etiology (
P
= 0.007), history of status epilepticus (
P
< 0.001), MRI brain findings (
P
= 0.005), EEG changes (
P
< 0.001), Ca (
P
= 0.01), and Mg level (
P
= 0.046).
Conclusion
We conclude that aged Egyptian epileptic population with no medical comorbidities, normal MRI brain, or normal EEG can be predicted to have good outcome of their epilepsy while patients with post stroke epilepsy, abnormal MRI brain, and abnormal EEG, with low serum Ca or Mg level can be predicted to have poor outcome. |
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AbstractList | Abstract Background Elderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are inconclusive or are not known for the majority of patients. This is especially true for the Egyptian population as no specific study was concluded to address this issue before. Objectives The aim of this study was to detect the predictive factors of epilepsy outcome in a sample of Egyptian aged population. Materials and methods A total of 100 patients aged 50 years or older with epilepsy diagnosed according to International League Against Epilepsy (ILAE) latest definition were included in the study and followed up for 6 months as regards seizure control. All participants were prospectively evaluated for epidemiological, clinical, radiological, electrodiagnostic, and laboratory data. Results The outcome was statistically significant affected in relation to absence of medical comorbidities (P = 0.037), seizure etiology (P = 0.007), history of status epilepticus (P < 0.001), MRI brain findings (P = 0.005), EEG changes (P < 0.001), Ca (P = 0.01), and Mg level (P = 0.046). Conclusion We conclude that aged Egyptian epileptic population with no medical comorbidities, normal MRI brain, or normal EEG can be predicted to have good outcome of their epilepsy while patients with post stroke epilepsy, abnormal MRI brain, and abnormal EEG, with low serum Ca or Mg level can be predicted to have poor outcome. Background Elderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are inconclusive or are not known for the majority of patients. This is especially true for the Egyptian population as no specific study was concluded to address this issue before. Objectives The aim of this study was to detect the predictive factors of epilepsy outcome in a sample of Egyptian aged population. Materials and methods A total of 100 patients aged 50 years or older with epilepsy diagnosed according to International League Against Epilepsy (ILAE) latest definition were included in the study and followed up for 6 months as regards seizure control. All participants were prospectively evaluated for epidemiological, clinical, radiological, electrodiagnostic, and laboratory data. Results The outcome was statistically significant affected in relation to absence of medical comorbidities ( P = 0.037), seizure etiology ( P = 0.007), history of status epilepticus ( P < 0.001), MRI brain findings ( P = 0.005), EEG changes ( P < 0.001), Ca ( P = 0.01), and Mg level ( P = 0.046). Conclusion We conclude that aged Egyptian epileptic population with no medical comorbidities, normal MRI brain, or normal EEG can be predicted to have good outcome of their epilepsy while patients with post stroke epilepsy, abnormal MRI brain, and abnormal EEG, with low serum Ca or Mg level can be predicted to have poor outcome. BackgroundElderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are inconclusive or are not known for the majority of patients. This is especially true for the Egyptian population as no specific study was concluded to address this issue before.ObjectivesThe aim of this study was to detect the predictive factors of epilepsy outcome in a sample of Egyptian aged population.Materials and methodsA total of 100 patients aged 50 years or older with epilepsy diagnosed according to International League Against Epilepsy (ILAE) latest definition were included in the study and followed up for 6 months as regards seizure control. All participants were prospectively evaluated for epidemiological, clinical, radiological, electrodiagnostic, and laboratory data.ResultsThe outcome was statistically significant affected in relation to absence of medical comorbidities (P = 0.037), seizure etiology (P = 0.007), history of status epilepticus (P < 0.001), MRI brain findings (P = 0.005), EEG changes (P < 0.001), Ca (P = 0.01), and Mg level (P = 0.046).ConclusionWe conclude that aged Egyptian epileptic population with no medical comorbidities, normal MRI brain, or normal EEG can be predicted to have good outcome of their epilepsy while patients with post stroke epilepsy, abnormal MRI brain, and abnormal EEG, with low serum Ca or Mg level can be predicted to have poor outcome. |
Author | Wahid El din, Mona Mokthar Abdelhamid, Yousry Abo Elnaga Hazzou, Ahmed Mohammed El Rakawy, Mahmoud Hemeda Shokri, Hossam Mohammed Gerges, Steven Emil El Khayat, Naglaa Mohammed |
Author_xml | – sequence: 1 givenname: Steven Emil orcidid: 0000-0002-1400-2205 surname: Gerges fullname: Gerges, Steven Emil email: stevnemil7@gmail.com organization: Faculty of Medicine, Ain Shams University – sequence: 2 givenname: Mahmoud Hemeda surname: El Rakawy fullname: El Rakawy, Mahmoud Hemeda organization: Faculty of Medicine, Ain Shams University – sequence: 3 givenname: Naglaa Mohammed surname: El Khayat fullname: El Khayat, Naglaa Mohammed organization: Faculty of Medicine, Ain Shams University – sequence: 4 givenname: Yousry Abo Elnaga surname: Abdelhamid fullname: Abdelhamid, Yousry Abo Elnaga organization: Faculty of Medicine, Ain Shams University – sequence: 5 givenname: Ahmed Mohammed surname: Hazzou fullname: Hazzou, Ahmed Mohammed organization: Faculty of Medicine, Ain Shams University – sequence: 6 givenname: Hossam Mohammed surname: Shokri fullname: Shokri, Hossam Mohammed organization: Faculty of Medicine, Ain Shams University – sequence: 7 givenname: Mona Mokthar surname: Wahid El din fullname: Wahid El din, Mona Mokthar organization: Faculty of Medicine, Ain Shams University |
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Cites_doi | 10.1056/NEJM198208263070903 10.1016/j.pharmthera.2010.07.003 10.1111/j.1528-1157.1986.tb03499.x 10.1007/s100720200034 10.1001/archneurol.2010.49 10.1016/j.seizure.2013.04.009 10.1016/j.eplepsyres.2005.07.016 10.1097/WCO.0b013e32832923ec 10.1016/j.ccc.2014.06.006 10.1056/NEJMra1004418 10.1186/s12887-018-1271-z 10.1016/j.seizure.2017.02.006 10.1046/j.1528-1157.2002.45401.x 10.1046/j.0306-5251.2001.01540.x 10.1016/S1474-4422(06)70383-0 10.1016/j.seizure.2017.09.007 10.1053/seiz.2000.0523 10.3390/medicina45060066 10.1111/j.1528-1157.1986.tb03567.x 10.1016/j.jped.2015.07.003 10.1111/epi.13670 10.1016/j.eplepsyres.2007.06.003 10.1046/j.1528-1157.2001.29000.x 10.1016/j.seizure.2016.12.009 10.1056/NEJM199209103271104 10.1016/j.brainresrev.2007.06.012 10.1111/j.1651-2227.2008.01160.x 10.1111/pcn.12499 10.1016/j.yebeh.2019.07.004 10.1046/j.1528-1157.2001.0420081025.x 10.1590/0004-282X20150043 10.1016/j.yebeh.2005.11.007 10.1212/WNL.41.7.965 |
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Elderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are... BackgroundElderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly population are... Abstract Background Elderly people with epilepsy are large, but neglected group. Data on the predictive factors for recurrent seizures in the elderly... |
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StartPage | 1 |
SubjectTerms | Convulsions & seizures Egyptian Elderly Epilepsy Medicine Medicine & Public Health Neurology Neurosurgery Older people Population Predictive factors Psychiatry |
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Title | Predictive factors of epilepsy outcome in a sample of Egyptian pre-elderly and elderly population |
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