scholarly journals Epilepsy Treatment Outcome and Its Predictors among Ambulatory Patients with Epilepsy at Mizan-Tepi University Teaching Hospital, Southwest Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Ameha Zewudie ◽  
Yitagesu Mamo ◽  
Desalegn Feyissa ◽  
Mohammed Yimam ◽  
Gosaye Mekonen ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Head Injury ◽  
Antiepileptic Drugs ◽  
High Frequency ◽  
University Teaching ◽  
Southwest Ethiopia ◽  
Epilepsy Treatment ◽  
History Of ◽  
Patients With Epilepsy ◽  
Seizure Attacks

Background. Epilepsy is among the most common neurological disorders which is highly treatable with currently available antiepileptic drugs at a reasonable price. In Ethiopia, despite a number of studies revealed high prevalence of epilepsy, little is known on predictors of poorly controlled seizures. Thus, the aim of this study was to assess epilepsy treatment outcome and its predictors among patients with epilepsy on follow-up at the ambulatory care unit of Mizan-Tepi University Teaching Hospital, Southwest Ethiopia. Methods. A hospital-based cross-sectional study involving patient interview and chart review was conducted from March 10 to April 10, 2018. Drug use patterns and sociodemographic data of the study participants were accustomed to descriptive statistics. Backward logistic regression analysis was done to identify predictors of poor seizure control. Statistical significance was considered at p value <0.05. Results. From a total of 143 studied patients with epilepsy, 60.8% had uncontrolled seizures. Monotherapy (79%) was commonly used for the treatment of seizures, of which phenobarbital was the most commonly utilized single anticonvulsant drug (62.9%). The majority (72.7%) of the patients had developed one or more antiepileptic-related adverse effects. Medium medication adherence (adjusted odds ratio (AOR) = 5.4; 95% CI = 1.52–19.23; p=0.009), poor medication adherence (AOR = 8.16; 95% CI = 3.04–21.90; p=0.001), head injury before seizure occurrence (AOR = 4.9; 95% CI = 1.25–19.27; p=0.02), and seizure attacks ≥4 episodes/week before AEDs initiation (AOR = 8.52; % CI = 2.41–13.45; p=0.001) were the predictors of uncontrolled seizure. Conclusions. Based on our findings, more than half of the patients with epilepsy had poorly controlled seizures. Nonadherence to antiepileptic drugs, high frequency of seizure attack before AEDs initiation, and history of a head injury before the occurrence of seizure were predictors of uncontrolled seizure. Patient medication adherence should be increased by the free access of antiepileptic drugs and attention should be given for the patients with a history of head injury and high frequency of seizure attacks before AEDs initiation.

Medication adherence and adverse effect profile of antiepileptic drugs in Nigerian patients with epilepsy

2018 ◽  
Vol 8 (1) ◽  
pp. 25-36 ◽  
Author(s):  
Joseph O Fadare ◽  
Taofiki A Sunmonu ◽  
Idowu A Bankole ◽  
Kehinde A Adekeye ◽  
Sani A Abubakar
Keyword(s):  
Adverse Effect ◽  
Medication Adherence ◽  
Antiepileptic Drugs ◽  
Adverse Effect Profile ◽  
Patients With Epilepsy

scholarly journals Effectiveness, safety and assessing the results of drug therapy in patients with epilepsy

2021 ◽  
Vol 13 (3) ◽  
pp. 306-310
Author(s):  
Article Editorial
Keyword(s):  
Quality Of Life ◽  
Drug Therapy ◽  
Antiepileptic Drugs ◽  
Psychiatric Comorbidity ◽  
Foreign Experience ◽  
History Of ◽  
Patients With Epilepsy

On June 26, 2021, a meeting of the experts of the Russian League Against Epilepsy (RLAE) was held, dedicated to the effectiveness, safety and assessing the results of drug therapy in patients with epilepsy. Having considered the history of the issue and guided by domestic and foreign experience, the participants discussed the problems associated with the use of various antiepileptic drugs for different forms of epilepsy in patients of different sex and age. Special attention was paid to psychiatric comorbidity in patients with epilepsy, increasing their compliance with treatment and quality of life. The article presents the Resolution of RLAE experts meeting adopted as a result of the discussion.

The levels of homocysteine and p53 protein in patients with epilepsy treatment antiepileptic drugs

2009 ◽  
Vol 61 (6) ◽  
pp. 1241
Author(s):  
Florczak Anna ◽  
Dorszewska Jolanta ◽  
Florczak Jolanta ◽  
Dezor Mateusz ◽  
Florczak Małgorzata ◽  
...  
Keyword(s):  
Antiepileptic Drugs ◽  
P53 Protein ◽  
Epilepsy Treatment ◽  
Patients With Epilepsy

scholarly journals Models for predicting treatment efficacy of antiepileptic drugs and prognosis of treatment withdrawal in epilepsy patients

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Shijun Yang ◽  
Bin Wang ◽  
Xiong Han
Keyword(s):  
Antiepileptic Drugs ◽  
Statistical Models ◽  
Prediction Models ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Treatment Withdrawal ◽  
Patient Treatment ◽  
Recent Developments ◽  
Progression Of Disease ◽  
Patients With Epilepsy

AbstractAlthough antiepileptic drugs (AEDs) are the most effective treatment for epilepsy, 30–40% of patients with epilepsy would develop drug-refractory epilepsy. An accurate, preliminary prediction of the efficacy of AEDs has great clinical significance for patient treatment and prognosis. Some studies have developed statistical models and machine-learning algorithms (MLAs) to predict the efficacy of AEDs treatment and the progression of disease after treatment withdrawal, in order to provide assistance for making clinical decisions in the aim of precise, personalized treatment. The field of prediction models with statistical models and MLAs is attracting growing interest and is developing rapidly. What’s more, more and more studies focus on the external validation of the existing model. In this review, we will give a brief overview of recent developments in this discipline.

scholarly journals Psychosocial factors associated with medication adherence in ethnically and socioeconomically diverse patients with epilepsy

2015 ◽  
Vol 46 ◽  
pp. 242-245 ◽  
Author(s):  
Amanda J. Shallcross ◽  
Danielle A. Becker ◽  
Anuradha Singh ◽  
Daniel Friedman ◽  
Rachel Jurd ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Psychosocial Factors ◽  
Factors Associated ◽  
Patients With Epilepsy

scholarly journals Effect and Safety of Shihogyejitang for Drug Resistant Childhood Epilepsy

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jinsoo Lee ◽  
Kwanghyun Son ◽  
Gwiseo Hwang ◽  
Moonju Kim
Keyword(s):  
Adverse Events ◽  
Antiepileptic Drugs ◽  
Retention Rate ◽  
Seizure Type ◽  
Drug Resistant ◽  
Exact Test ◽  
Alternative Treatment Option ◽  
Drug Resistant Epilepsy ◽  
Intent To Treat ◽  
Patients With Epilepsy

Objective. Herbal medicine has been widely used to treat drug resistant epilepsy. Shihogyejitang (SGT) has been commonly used to treat epilepsy. We investigated the effect and safety of SGT in children with drug resistant epilepsy.Design. We reviewed medical records of 54 patients with epilepsy, who failed to respond to at least two antiepileptic drugs and have been treated with SGT between April 2006 and June 2014 at the Department of Pediatric Neurology, I-Tomato Hospital, Korea. Effect was measured by the response rate, seizure-free rate, and retention rate at six months. We also checked adverse events, change in antiepileptic drugs use, and the variables related to the outcome.Results. Intent-to-treat analysis showed that, after six months, 44.4% showed a >50% seizure reduction, 24.1% including seizure-free, respectively, and 53.7% remained on SGT. Two adverse events were reported, mild skin rash and fever. Focal seizure type presented significantly more positive responses when compared with other seizure types at six months (p=0.0284, Fisher’s exact test).Conclusion. SGT is an effective treatment with excellent tolerability for drug resistant epilepsy patients. Our data provide evidence that SGT may be used as alternative treatment option when antiepileptic drug does not work in epilepsy children.

Cognitive reserve in neuropsychiatry

2006 ◽  
Vol 36 (8) ◽  
pp. 1053-1064 ◽  
Author(s):  
J. H. BARNETT ◽  
C. H. SALMOND ◽  
P. B. JONES ◽  
B. J. SAHAKIAN
Keyword(s):  
Bipolar Disorder ◽  
Cognitive Function ◽  
Head Injury ◽  
Cognitive Reserve ◽  
Protective Factor ◽  
Psychiatric Symptoms ◽  
Neuropsychiatric Disorders ◽  
Future Studies ◽  
Cognitive Failure ◽  
History Of

Background. The idea that superior cognitive function acts as a protective factor against dementia and the consequences of head injury is well established. Here we suggest the hypothesis that cognitive reserve is also important in neuropsychiatric disorders including schizophrenia, bipolar disorder and depression.Method. We review the history of passive and active models of reserve, and apply the concept to neuropsychiatric disorders. Schizophrenia is used as an exemplar because the effects of premorbid IQ and cognitive function in this disorder have been extensively studied.Results. Cognitive reserve may impact on neuropsychiatric disorders in three ways: by affecting the risk for developing the disorder, in the expression of symptoms within disorders, and in patients' functional outcome. Cognitive failure below a certain threshold may alone, or in combination with common psychiatric symptoms, produce neuropsychiatric syndromes.Conclusions. Consideration of cognitive reserve may considerably improve our understanding of individual differences in the causes and consequences of neuropsychiatric disorders. For these reasons, the concept of cognitive reserve should be incorporated in future studies of neuropsychiatric disorder. It may be possible to enhance cognitive reserve through pharmacological or non-pharmacological means, such as education, neurocognitive activation or other treatment programmes.

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