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ObjectiveTo identify the early predictors of refractory epilepsy (RE). MethodsAll 173 epileptic patients with correct diagnosis and reasonable treatment were enrolled. The 106 patients were classified as drug non-responsive epilepsy (DNR-EP). The remaining 63 patients were classified as drugresponsive epilepsy (DR-EP). With multiple logistic regression, the clinical characteristics between the two groups were compared to identify the early predictors of RE. ResultsMultiple logistic regression analysis demonstrated that more than 10 seizures before treatment (OR =4. 46, 95％ CI 1.60-12. 40, P =0. 004),mental retardation at early time ( OR =19. 87, 95％ CI 3. 60-109. 78, P =0. 001 ) and abnormal electroencephalogram(EEG) with epileptiform wave after treatment ( OR =7.57, 95％ CI 2. 54-22. 56,P ＜0. 01 ) were independent predictors of RE.Response to initial therapy was a protective factor of RE (OR=0.05, 95％ CI 0.018-0. 139, P＜0.01). ConclusionPatients who have many seizures before treatment, mental retardation at the early time, epileptiform abnormality in EEG after treatment and who are resistant to initial therapy are likely to develop into refractory epilepsy.
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Objective To assess the neuropsychological characteristics in active epileptic patients and investigate itsrisk factors. Methods Ninety adult epileptic patients included 60 active epileptic patients (two or more unprovoked seizures within 12 months) and 30 age-, sex-, education-, course of disease- and seizure type-matched seizure-free subjects (without epileptic seizure for at least 1 year) . The neuropsychological tests including trail making test,digit symbol test, verbal fluency test,digit span test and hamilton depression scale( HAMD) ,were used to detect mental and motor speed, attention, language, working memory and depression symptoms respectively. The neuropsychological tests were compared between active and seizure-free epileptic patients and identified the risk factors of neuropsychological deficits in active epileptic patients. Results Compared to seizure-free subjects, active epileptic patients had significantly worse scores in digit symbol test, verbal fluency test, digit span test ((47.45 ±18. 812) vs(56.40 ±13. 631), (25. 25 ±8. 163) vs(30.40 ±8. 414), (10. 39 ±2. 228) vs( 11. 80 ± 2.074) respectively) ; more time to accomplish the trail making test A and B((64. 35 ±31.710) vs( 45. 47 ± 16. 309) , ( 133. 18 ± 47. 331 ) vs ( 98. 00 ± 35. 003 ) respectively) ; and higher scores in depressive symptoms ((9.12 ±6.219)vs(3.77 ±3.997) ,all P<0.05). Within active epileptic group,significant predictors of neuropsychological deficits were identified in a stepwise linear regression analysis: advancing age was significantly negatively correlated with digit symbol test(β = -0. 468, P = 0. 000) , digit span test (β = -0. 439, P = 0. 000), trail making test A (β =0.365, P = 0.003) and B(β = 0.346, P=0.002) ; higher scores on depressive symptoms was significantly negatively correlated with digit symbol test (β = -0.244, P = 0.015) ; mental work,high-education level and monotherapy were positively correlated with some of the cognitive function subscales. Conclusion This study suggests that active epilepsy can have a direct adverse effect on cognition and depression symptoms. Multi-drug therapy, severity of depression symptoms, advancing age, low-education level and non-mental work are the predictors of neuropsychological impairment in active epilepsy. In addition, good seizure control even after 1 year can have a beneficial impact on cognitive and depression prognosis.
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Objective To investigate the prevalence of adult epileptic patients with interictal depression symptoms(IDs) and identify early predictors of IDs. Methods Adult patients with epilepsy were recruited ( n =110,45 females and 65 males) ,age between 16 and 67 years ( median 24 years). The sociodemographic and clinical factors of patients were recorded. Hamilton Depression Scale ( HAMD ) were applied to evaluate interictal symptoms of depression ( at least 72 hours after the last epileptic seizure). According to HAMD score,the epileptic patients were divided into IDs ( ≥8 ) and non-IDs(＜8) groups. The sociodemographic and clinical factors were compared between the two groups to identify the prevalence and early predictors of IDs in adult epileptic patients.Results The prevalence of IDs in adult patients with epilepsy was 38.2% ,49.0% in active epilepsy and 12.1 %in seizure freedom. 30.0% ,5.5% ,and 2.7% were experiencing mild-to-moderate (HAMD score≥8),moderateto-severe ( ≥ 18 ) and severe ( ≥25 ) depression. 42 patients who met the HAMD score≥8 were classified as IDs group,and the remaining 68 patients were classified as non-IDs group. With multiple stepwise backward logistic regreasion, independent predictors of IDs were epileptic seizures ( OR = 8. 845, P = 0. 003 ); symptomatic or cryprogenic epilepsy ( OR = 3.132, P = 0. 045 ); prolonged duration of illness ( OR = 1. 106, P = 0.004 ) and employment status (OR =0. 154, P=0.001 ). There were no relationship between seizure frequency and severity of IDs ( Kruskal-Wallis test, x2 = 4.5, P = 0. 104). Conclusion IDs is a frequent psychiatric comorbidity in adult patients with epilepsy. The prevalence of IDs is higher in those with active epilepsy compared with those in seizure freedom and most of them are mild-to-moderate. Epileptic seizure, symptomatic or cryprogenic epilepsy, prolonged duration of illness and employment status are independent predictors of IDs, but seizure frequency has nothing to do with the IDs severity of patients.
