UNASSIGNED: We obtained data from the medical records of 84 (47 ETLE and 37 MTLE) people with epilepsy. The data included age, sex, employment, seizure frequency, number of antiseizure medication (ASM), Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) score, and Quality of Life in Epilepsy Inventory-31 (QOLIE-31) score. Multiple regression analyses were performed using QOLIE-31 as the dependent variable and age, sex, employment, seizure frequency, number of ASM, and NDDI-E score as the independent variables in ETLE or MTLE.
UNASSIGNED: From the results of the multiple regression analyses, QOLIE-31 in ETLE was associated with NDDI-E (β = -0.757, p < 0.001) and employment (β = 0.388, p = 0.008). Meanwhile, QOLIE-31 in MTLE was associated with NDDI-E (β = -0.625, p < 0.001), employment (β = 0.396, p = 0.041), and number of ASMs (β = -0.399, p = 0.018).
UNASSIGNED: Overall, our findings indicate that the number of ASMs is potentially an influence on QOL of MTLE but similar effect is not observed in ETLE.
■我们从84例(47例ETLE和37例MTLE)癫痫患者的医疗记录中获得了数据。数据包括年龄,性别,employment,癫痫发作频率,抗癫痫药物(ASM)的数量,癫痫神经系统疾病抑郁量表(NDDI-E)评分,癫痫量表-31(QOLIE-31)评分和生活质量。使用QOLIE-31作为因变量和年龄进行多元回归分析,性别,employment,癫痫发作频率,ASM的数量,和NDDI-E评分作为ETLE或MTLE中的自变量。
■从多元回归分析的结果来看,ETLE中的QOLIE-31与NDDI-E(β=-0.757,p<0.001)和就业(β=0.388,p=0.008)相关。同时,MTLE中的QOLIE-31与NDDI-E相关(β=-0.625,p<0.001),就业(β=0.396,p=0.041),和ASM数量(β=-0.399,p=0.018)。
■总的来说,我们的研究结果表明,ASM的数量可能会影响MTLE的QOL,但在ETLE中未观察到类似的影响。