The localization and lateralization of fear aura and its surgical prognostic value in patients with focal epilepsy.

OBJECTIVE: Fear aura has traditionally been considered relevant to epileptic discharges from mesial temporal areas, and few studies have investigated its effect on surgical outcome in drug-resistant epilepsy. We aim to assess the localizing and lateralizing value as well as prognostic significance of fear aura in patients with focal epilepsy. METHODS: The occurrence of fear aura in relation to epileptogenic origin and its association with postoperative outcome were analyzed in 146 consecutive patients undergoing resective surgery for intractable epilepsy. RESULTS: Ninety-four (64.4%) patients reported auras, and 31 (21.2%) reported fear aura in their seizures. One hundred ten (75.3%) patients had an Engel class I outcome until last follow-up, of whom 24 experienced fear aura preoperatively. Fear aura appeared more frequently during temporal and frontal lobe seizures, but did not lateralize the seizure onset zone. There were no significant baseline differences between patients with and without fear aura. No correlation was found between postoperative outcome and the presence of auras. Occurrence of fear aura failed to show predictive value in surgical outcome whether in pooled or subgroup analysis. INTERPRETATION: This study advances our understanding of the origin of fear aura, and is helpful for presurgical evaluation and outcome prediction. Without lateralizing value, fear aura is more commonly seen with temporal or frontal origin. When taken as a whole, auras do not have a significant impact on seizure outcome in focal epilepsy. Patients with fear aura are no more likely to become seizure-free than those without fear aura.

Burden of epilepsy: a prevalence-based cost of illness study of direct, indirect and intangible costs for epilepsy.

OBJECTIVES: We aimed to gauge the burden of epilepsy in China from a societal perspective by estimating the direct, indirect and intangible costs. METHODS: Patients with epilepsy and controls were enrolled from two tertiary hospitals in China. Patients were asked to complete a Cost-of-Illness (COI), Willingness-to-Pay (WTP) questionnaires, two utility elicitation instruments and Mini Mental State Examination (MMSE). Healthy controls only completed WTP questionnaire, and utility instruments. Univariate analyses were performed to investigate the differences in cost on the basis of different variables, while multivariate analysis was undertaken to explore the predictors of cost/cost component. RESULTS: In total, 141 epilepsy patients and 323 healthy controls were recruited. The median total cost, direct cost and indirect cost due to epilepsy were US$949.29, 501.34 and 276.72, respectively. Particularly, cost of anti-epileptic drugs (AEDs) (US$394.53) followed by cost of investigations (US$59.34), cost of inpatient and outpatient care (US$9.62) accounted for the majority of the direct medical costs. While patients' (US$103.77) and caregivers' productivity costs (US$103.77) constituted the major component of indirect cost. The intangible costs in terms of WTP value (US$266.07 vs. 88.22) and utility (EQ-5D, 0.828 vs. 0.923; QWB-SA, 0.657 vs. 0.802) were both substantially higher compared to the healthy subjects. CONCLUSIONS: Epilepsy is a cost intensive disease in China. According to the prognostic groups, drug-resistant epilepsy generated the highest total cost whereas patients in seizure remission had the lowest cost. AED is the most costly component of direct medical cost probably due to 83% of patients being treated by new generation of AEDs.

Amiloride suppresses pilocarpine-induced seizures via ASICs other than NHE in rats.

BACKGROUND AND PURPOSE: Although recent studies have indicated that acid-sensing ion channels (ASICs) may play an important role in suppressing status epilepticus (SE) in rats, the precise mechanism is unclear. We attempted to investigate the antiepileptic effect of amiloride in SE rats and its mechanism. METHODS: Rats with seizures induced by Li-pilocarpine were randomly divided into four groups, phosphate buffer saline (PBS) group, amiloride group, levetiracetam group and acidic liquid group, respectively. The electroencephalogram (EEG) of each group was recorded. Then rats treated with different drugs (2 h after amiloride or PBS injection or 1 h after PBS injection) and a normal control group was selected for reverse transcription-polymerase chain reaction (RT-PCR). The expression of ASIC1a, ASIC3 and sodium-hydrogen exchanger (NHE) in each group was detected. RESULTS: Amiloride reduced the frequency of discharge in 60~90 min after injection significantly. In acidic liquid group, the epileptic discharge was increased in 0~30 min. Moreover, the expression of ASIC1a, ASIC3 and NHE was obviously increased in the SE groups. Compared with SE groups, the expression of ASIC1a and ASIC3 mRNA in amiloride group decreased significantly. While NHE mRNA expression in the SE groups showed no significant difference. CONCLUSION: Amiloride inhibited pilocarpine-induced SE and the anti-epileptic mechanism was associated with deactivation of the ASIC1a and ASIC3 instead of NHE in rats.

Health-Related Quality of Life and Willingness to Pay per Quality-Adjusted Life-Year Threshold-A Study in Patients with Epilepsy in China.

OBJECTIVES: To assess the health-related quality of life (HRQOL) and willingness to pay (WTP) per quality-adjusted life-year (QALY) amount of patients with epilepsy in China. METHODS: Adults with epilepsy and a healthy control were recruited in two tertiary hospitals in China. Participants completed two indirect utility elicitation instruments (Quality of Well-being Scale-self administered version and EuroQol five-dimensional questionnaire) and a WTP questionnaire. Correlations between sociodemographic or epilepsy-specific variables (age of epilepsy onset, duration of epilepsy, seizure types, types of antiepileptic drug treatment, etc.) and HRQOL or WTP/QALY were assessed to identify the candidate predictor. Multiple linear regression models were adopted to investigate the predictive performances of identified candidate predictors. Data analyses were performed on SPSS 20.0 (SPSS, Inc., Chicago, IL). RESULTS: For utilities of both the Quality of Well-being Scale-self administered version and the EuroQol five-dimensional questionnaire, patients with epilepsy had statistically lower values than did the control group (P < 0.0001). In terms of the WTP/month, the percentage of WTP accounting for the monthly income and the WTP/QALY values from the epilepsy group were substantially higher than those from the control group (P < 0.0001). [Formula: see text] The multiple linear regression model identified working status (P = 0.05), seizure types (P = 0.022), income (P = 0.006), and self-rating health state (P < 0.05) as predictors of HRQOL while income (P = 0.000) and self-rating health state (P < 0.05) statistically contributed to the variations in WTP/QALY value for the epilepsy group. CONCLUSIONS: Patients with epilepsy had substantially lower HRQOL than did the healthy population.

Reliability and validity of QOLIE-10 in measuring health-related quality of life (HRQoL) in Chinese epilepsy patients.

OBJECTIVES: We aimed to translate and validate a short-form of Quality of Life Inventory in Epilepsy-89 (QOLIE-89)-QOLIE-10 for use in the busy clinical setting. METHODS: Accepted procedures were adopted to translate the QOLIE-10. Patients with epilepsy from two tertiary hospitals in China were asked to complete a standardized questionnaire including QOLIE-10, EQ-5D, QWB-SA and Mini Mental State Examination (MMSE). Construct validity was assessed via factor analysis. Convergent validity was explored via the correlations between QOLIE-10 and other external measures. The ability of QOLIE-10 to differentiate between epilepsy-specific variables was tested to examine the discriminant validity. Cronbach's alpha was calculated to test the reliability. Additionally, HRQoL according to different epilepsy-specific variables was compared. RESULTS: 220 Respondents completed QOLIE-10 and EQ-5D, among which 141 subjects completed QWB-SA and MMSE. Two subscales were yielded in the factor analysis. The correlations between QOLIE-10 scores and EQ-5D, QWB-SA, MMSE were significant thus demonstrated the convergent validity. Furthermore, QOLIE-10 was able to differentiate patients with various seizure frequency, refractory epilepsy and antiepileptic treatment. The Cronbach's alpha was 0.853. In general, more predictive variables were identified to associate with QOLIE-10 scores than the other two instruments. Comorbidity (0.015), numbers of AEDs (0.037), seizure types (0.041) and refractory epilepsy (0.016) were potential predictors of HRQoLQOLIE-10, whereas there were fewer predictors for HRQoLEQ-5D or HRQoLQWB-SA. CONCLUSIONS: QOLIE-10 appeared to be a reliable and sensitive instrument to assess the HRQoL for epilepsy patients. According to the MLR analyses, numbers of AEDs, refractory epilepsy, comorbidity depression, and cognitive function were demonstrated to be predictors of HRQoL dependent on different tools. Comparisons between the tools suggested epilepsy-specific instrument was more competent to discriminate HRQoL based on condition variables. However, a longitudinal study is still needed to examine the responsiveness of Chinese QOLIE-10.

Psychometric properties of Chinese language Liverpool Seizure Severity Scale 2.0 (LSSS 2.0) and status and determinants of seizure severity for patients with epilepsy in China.

OBJECTIVES: This study aimed to translate and validate the Liverpool Seizure Severity Scale (LSSS) in Chinese-speaking patients with epilepsy and explore the determinants of seizure severity in China. METHODS: Accepted procedures were followed to translate the LSSS. Each participant was interviewed to complete the LSSS, Seizure Severity Index, Quality of Well-being Scale Self-Administered (QWB-SA), EuroQol (EQ-5D), and Mini Mental State Examination (MMSE). Construct validity and internal consistency were assessed. The determinants of seizure severity were explored. RESULTS: The construct validity of the LSSS was demonstrated by good convergent and discriminant validities. Cronbach's alpha and the intraclass correlation coefficient were 0.886, respectively. In the multivariate analysis, seizure types (p=0.001), seizure frequency (p=0.001), and numbers of antiepileptic drugs (p=0.042) predicted the scores on the LSSS. Types of antiepileptic drugs also contributed to the variation in the LSSS scores. CONCLUSIONS: Chinese LSSS is a valid, reliable, and sensitive seizure severity scale. Seizure frequency, seizure types, and quantities and types of AEDs predict seizure severity.

Validation of a Chinese version of the Quality of Well-Being Scale-Self-Administered (QWB-SA) in patients with epilepsy.

PURPOSE: Generic preference-based health-related quality of life (HRQoL) instruments are increasingly used to estimate the quality-adjusted life years (QALYs) in cost-effectiveness/utility studies. However, no such tool has been used and validated in epilepsy patients in China. This study was conducted to validate a generic preference-based HRQoL instrument, namely the Quality of Well-Being Scale-Self-Administered (QWB-SA) in Chinese patients with epilepsy. METHODS: Accepted translation procedures were followed to develop the Chinese QWB-SA. An epilepsy group (adults with established diagnosis of epilepsy) and a control group (adults without manifested cognitive problems) were recruited between July and October, 2012, from two tertiary hospitals in China. After giving informed consent, each subject completed both the QWB-SA and the EuroQol (EQ-5D) as well as provided sociodemographic data. Construct validity was examined by six (convergent) and two (discriminative) a priori hypotheses. Sensitivity was compared by ability to differentiate epilepsy-specific variable-based subgroups. Agreement between the QWB-SA and EQ-5D was assessed by intraclass correlation coefficient (ICC) and Bland-Altman plot. KEY FINDINGS: One hundred forty-four epilepsy patients and 323 control subjects were enrolled, respectively. The utility medians (interquartile range, IQR) for the QWB-SA and EQ-5D were 0.673 (0.172), 0.848 (0.275) for epilepsy group and 0.775 (0.258), 1.000 (0.152) for control group, respectively. The difference in utilities between the two measures were significant (p < 0.0001). Construct validity was demonstrated by six a priori hypotheses. In addition, the QWB-SA was able to discriminate across different seizure frequency and antiepileptic drug (AED) treatment subgroups. Agreement between the QWB-SA and EQ-5D was demonstrated by ICC (0.725). Finally, the multiple linear regression analysis indicated that group and the EQ-VAS had influences on the utility difference of these two measures, whereas seizure frequency and number of AEDs were predictors of HRQoL as measured by the QWB-SA. SIGNIFICANCE: The QWB-SA is a valid and sensitive HRQoL measure in Chinese patients with epilepsy. Compared to the EQ-5D, the QWB-SA showed superiority in coverage of health dimensions, sensitivity, and ceiling effects. However, future study is still needed to ascertain its responsiveness.