Ya-Yu Chen1, Sha Huang1, Wen-Yue Wu1, Chao-Rong Liu1, Xiao-Yan Yang1, Hai-Ting Zhao1, Ling-Chao Wu1, Lang-Zi Tan1, Li-Li Long2, Bo Xiao3. 1. Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China. 2. Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China. Electronic address: longlili1982@aliyun.com. 3. Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, PR China. Electronic address: xiaobo_xy@126.com.
Abstract
OBJECTIVE: Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities. METHODS: We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis. RESULTS: The QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = -0.357, 0.321, 0.328, -0.672, and -0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R2 = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance. CONCLUSION: Anxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31.
OBJECTIVE: Identifying the factors that are correlated with and predictive of reduced quality of life (QOL) is essential to optimize the treatment of epilepsy and the management of comorbidities. METHODS: We analyzed the independent associations between the Quality of Life in Epilepsy-31 (QOLIE-31) inventory and the demographic, clinical, psychiatric, and cognitive variables of 47 consecutive patients with temporal lobe epilepsy (TLE). Predictors of the correlated variables were analyzed by multiple linear regression analysis. RESULTS: The QOLIE-31 total score was positively correlated with occupational status and Mini-Mental State Examination (MMSE) scores (r = 0.290 and 0.295, respectively; P < 0.05) and negatively correlated with the duration of seizures, adverse effects of antiepileptic drugs (AEDs), and the Pittsburgh Sleep Quality Inventory (PSQI), Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS) scores (r = -0.357, 0.321, 0.328, -0.672, and -0.565, respectively; P < 0.05; P < 0.01 for the SAS and SDS). In the final multivariate regression model, anxiety, long durations of seizures, adverse effects of AEDs, and depression explained approximately 60.6% (adjusted R2 = 0.606, R coefficient = 0.800) of the QOLIE-31 overall score variance. CONCLUSION:Anxiety, long durations of seizures, adverse effects of AEDs, and depression were significant predictors of QOL, and these variables had relatively high prediction capacities for the overall QOLIE-31 in the regression model. Comorbid anxiety is the most powerful negative determinant of the QOLIE-31.
Authors: Irena Balzekas; Vladimir Sladky; Petr Nejedly; Benjamin H Brinkmann; Daniel Crepeau; Filip Mivalt; Nicholas M Gregg; Tal Pal Attia; Victoria S Marks; Lydia Wheeler; Tori E Riccelli; Jeffrey P Staab; Brian Nils Lundstrom; Kai J Miller; Jamie Van Gompel; Vaclav Kremen; Paul E Croarkin; Gregory A Worrell Journal: Front Hum Neurosci Date: 2021-07-26 Impact factor: 3.473
Authors: Alicia Gonzalez-Martinez; Álvaro Planchuelo-Gómez; Alba Vieira Campos; Francisco Martínez-Dubarbie; José Vivancos; María De Toledo-Heras Journal: Neurol Sci Date: 2021-09-15 Impact factor: 3.830