Literature DB >> 30520105

Comprehensive analysis of presurgical factors predicting psychiatric disorders in patients with refractory temporal lobe epilepsy and mesial temporal sclerosis underwent cortico-amygdalohippocampectomy.

Wei Yang1, Chongyi Chen1, Bo Wu1, Qiaoyu Yang2, Dongdong Tong1.   

Abstract

BACKGROUND: This study aimed to evaluate the predictive value of presurgical factors for psychiatric disorders (PD) in refractory temporal lobe epilepsy and mesial temporal sclerosis (TLE-MTS) patients underwent cortico-amygdalohippocampectomy (CAH).
METHODS: A total of 98 refractory TLE-MTS patients underwent CAH were consecutively enrolled in this cohort study. Several presurgical factors were recorded, such as married status, employment status, highest education, disease duration, family history of epilepsy, and disorganized VEEG background activity.
RESULTS: There were 17 (17.3%) refractory TLE-MTS patients occurring PD after CAH, including 8 (8.2%) mood disorders, 7 (7.1%) anxiety disorders, 8 (8.2%) psychoses, and 1 (1.0%) interictal dysphoric disorder. Employed status correlated with low PD occurrence, while disease duration and asymmetric VEEG background activity positively correlated with PD occurrence. Multivariate logistic analysis revealed employed status (P = 0.009) could independently predict lower PD occurrence, while highest education (P = 0.027), disease duration (P = 0.028), seizure frequencies (P = 0.015), and asymmetric VEEG background activity (P = 0.034) could independently predict higher PD occurrence. Receiver operating characteristic curve showed combination of these five factors (area under curve (AUC) = 0.871, 95%CI: 0.783-0.960) disclosed a great predictive value of PD occurrence. The sensitivity and specificity were 70.6% and 92.6% at the best cutoff point. In addition, the percentage of PD was increased with higher Engel classification (P = 0.003).
CONCLUSION: Employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity correlate with PD occurrence independently in epileptic patients.
© 2018 The Authors Journal of Clinical Laboratory Analysis Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  cortico-amygdalohippocampectomy; employed status; presurgical factors; psychiatric disorders; temporal lobe epilepsy-mesial temporal sclerosis

Mesh:

Year:  2018        PMID: 30520105      PMCID: PMC6818626          DOI: 10.1002/jcla.22724

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


INTRODUCTION

Epilepsy, a transient occurrence of signs and/or symptoms owning to abnormal excessive or synchronous neuronal activity in the brain, is a kind of chronic disorder that frequently causes long‐term medical, psychological, and social sequelae.1, 2 According to the report of World Health Organization (WHO), there are estimated more than 50 million epilepsy patients and 2.4 million new cases occurring worldwide per year.3 For adult epilepsy patients, approximately 60% patients are diagnosed as partial‐onset epilepsy, whose most common subtype is temporal lobe epilepsy (TLE), and mesial temporal sclerosis (MTS) is considered as the most common pathological substrate of TLE.4, 5 For these TLSMTS patients, most of them have been reported to be refractory to antiepileptic drugs (AEDs), but have favorable responses to surgery, including cortico‐amygdalohippocampectomy (CAH), which is a type of anterior and mesial temporal lobectomy (ATL) and one of optimal choices in patients with refractory epilepsy.5, 6 Although epilepsy surgery contributes to estimated 60%‐70% remission rate for long‐term clinical symptoms, the quality of life (QoL) is still difficult to be improved, partially due to high prevalence rate of psychiatric comorbidity in TLEMTS patients. There are about 20%‐40% TLEMTS patients combining with psychiatric disorders (PD), and more than 70% refractory patients also occur this seizure disorder.7, 8, 9, 10, 11, 12 High prevalence of PD might contribute to worse outcomes of surgery in refractory TLEMTS patients. Thus, more understanding about the presurgical factors predicting PD in refractory TLEMTS patients underwent CAH is necessary. The risk factors related to PD in epilepsy patients after surgery have raised concern, and some researchers suggest that several sociodemographic and clinical factors are correlated with PD among epilepsy patients, including employed status, seizure‐free period, and marital problems.13, 14 However, little is known about the pre‐surgical predictors for PD in refractory TLEMTS patients received CAH. Thus, the purpose of this study was to evaluate the predictive value of presurgical factors for PD in refractory TLEMTS patients underwent CAH.

MATERIALS AND METHODS

Participants

A total of 98 refractory TLEMTS patients underwent CAH between January 2007 and December 2015 at Department of Neurosurgery in Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region were consecutively enrolled in this cohort study. The inclusion criteria were as follows: (a) Diagnosed as refractory TLE according to International League Against Epilepsy (ILAE) classification.15 (b) Complicated with unilateral MTS by MRI findings. (c) Age at surgery above 18 years. (d) Without presurgical PD. (e) Followed‐up duration above 1 year. The exclusion criteria were as follows: (a) Complicated with clinical or other neurological illnesses besides epilepsy. (b) Complicated with cognitive impairments precluding psychiatric and clinical evaluations. (c) Complicated with bilateral MTS. (d) Complicated with other epilepsy syndromes and antihistamine administration or alcohol consumption within 72 hours prior to the psychiatric evaluation. (e) Pregnant or breast‐feeding female patients. This study was approved by the Ethics Committee of Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region. All patients or their guardians provided the written informed consents.

Procedures

Before CAH, patients received continuous video‐electroencephalographic (VEEG) monitoring with 32‐channel EEG recording for two‐six days, accompanied with electrodes placed according to the 10‐10 system on the temporal lobe, including sphenoidal electrodes. The CAH procedure consisted of an en block resection of the superior, middle, inferior temporal, and fusiform gyri, with a posterior limit of 4.5 cm from the tip of the temporal lobe, and after opening the temporal horn, the mesial temporal structures (hippocampus, amygdala, and parahippocampal gyrus) were also resected as described in previous studies.16, 17

Data collection

Comprehensive factors preoperation were recorded including age at surgery, gender, married status, employment status, highest education, history of smoke, history of drink, age at epilepsy onset, disease duration, family history of epilepsy, family history of PD, seizure frequencies, presence of febrile seizures, presence of left‐sided MTS, disorganized VEEG background activity, asymmetric VEEG background activity, contralateral slow waves on VEEG, and contralateral epileptiform discharges on VEEG.

Assessments and definitions

(a) Refractoriness to medical treatment was defined as seizures persisted after the utilization of at least two first‐line medications for partial seizures at the highest tolerated doses for at least 6 months. (b) MTS was defined as atrophy, an increase in T2‐weighted signal, a decrease in T1‐weighted signal, and a disrupted internal structure of the hippocampus were present, accompanied by atrophy of the amygdala and/or temporal pole signal alteration by MRI imaging; mesial temporal lobe epilepsy (MTLE) is a chronic disorder of the nervous system characterized by recurrent, unprovoked focal seizures that arise in the hippocampus, the parahippocampal gyrus, and the amygdala which are located in the inner (medial) aspect of the temporal lobe.18 (c) According to the International Federation of Societies for Electroencephalography and Clinical Neurophysiology (IFSECN), epileptiform discharges are defined as "distinctive waves or complexes, distinguished from background activity, and resembling those recorded in a proportion of human subjects suffering from epileptic disorders….," while this somewhat circular definition makes clear that criteria must be verified empirically.19 (d) The treatment efficiency was assessed according to Engel classification; after CAH, the Engel classification scales are listed in (Table 1).20, 21 (e) PD were diagnosed according to Diagnostic and Statistical Manual of Mental Disorders (DSM‐IV) Axis I criteria in the follow‐up duration with the last follow‐up date March 2017.22 In addition, other epilepsy commonly related to PD such as psychoses and interictal dysphoric disorder, not covered by the DSM‐IV, was also assessed using the ILAE criteria.23
Table 1

Engel classification scales

Class INo disabling seizures
ACompletely seizure‐since surgery
BNondisabling simple partial seizures only
CSome disabling seizures after surgery, but free of disabling seizures for at least 2 y
DGeneralized convulsion with antiepileptic drug withdrawal only
Class IIRare disabling seizures
AInitially free of disabling seizures but has rare disabling seizures now
BRare disabling seizures since surgery
CMore than rare disabling seizures since surgery, but rare seizures for at least 2 y
DNocturnal seizures only
Class IIIWorthwhile improvement
AWorthwhile seizure reduction
BProlonged seizure‐free intervals but less than 2 y
Class IVNo worthwhile improvement
ASignificant seizure reduction
BNo appreciable change in seizure frequency
CSeizures are frequent or worse
Engel classification scales

Statistics

Statistical analysis was performed using SPSS 22.0 software (IBM, Armonk, NY) and Graphpad Prism 6 software (GraphPad Software Inc, New York, NY, USA). Data were presented as mean ± SD or count (percentage). Comparison was determined by t test, chi‐square test, or Wilcoxon rank sum test. Baseline characteristics affecting PD occurrence were determined by univariate logistic regression analysis, while all factors with P value no more than 0.1 were further detected by multivariate logistic regression analysis. Furthermore, receiver operating characteristic (ROC) curve was used to assess the predictive value of the factors affecting PD occurrence. P value <0.05 was considered significant.

RESULTS

Baseline characteristics

Mean age of these 98 refractory TLEMTS patients underwent CAH was 35.95 ± 10.47 years, and the number of male and female was 48 and 50, respectively (Table 2). As to employment status, 76 (77.6%) patients were employed, while 22 (22.4%) patients were unemployed. The mean age at epilepsy onset was 10.63 ± 6.80 years, and the mean value of disease duration was 25.32 ± 8.41 years. The number of patients with family history of epilepsy and family history of psychiatric disorders was 25 (25.5%) and 14 (14.3%), respectively. There were 26 (26.5%), 21 (21.4%), 25 (25.5%), and 26 (26.6%) patients, respectively, with disorganized VEEG background activity, asymmetric VEEG background activity, contralateral slow waves on VEEG, and contralateral epileptiform discharges on VEEG. Other baseline characteristics are shown in Table 2.
Table 2

Baseline characteristics of refractory TLE‐MTS patients

ItemsRefractory TLE‐MTS patients (N = 98)
Age at surgery (years)35.95 ± 10.47
Gender (male/female)48/50
Married status (n/%)
Married63 (64.3)
Not married35 (35.7)
Employment status (n/%)
Employed76 (77.6)
Unemployed22 (22.4)
Highest education (n/%)
Primary school or less21 (21.4)
High school42 (42.9)
Undergraduate28 (28.6)
Graduate or above7 (7.1)
History of smoke (n/%)17 (17.3)
History of drink (n/%)5 (5.1)
Age at epilepsy onset (years)10.63 ± 6.80
Disease duration (years)25.32 ± 8.41
Family history of epilepsy (n/%)25 (25.5)
Family history of psychiatric disorders (n/%)14 (14.3)
Seizure frequencies (times per month)6.7 ± 1.7
Presence of febrile seizures (n/%)12 (12.2)
Presence of left‐sided MTS (n/%)65 (66.3)
Disorganized VEEG background activity (n/%)26 (26.5)
Asymmetric VEEG background activity (n/%)21 (21.4)
Contralateral slow waves on VEEG (n/%)25 (25.5)
Contralateral epileptiform discharges on VEEG (n/%)26 (26.6)

Data were presented as mean ± SD or count (percentage).

MTS, mesial temporal sclerosis; TLE, temporal lobe epilepsy; VEEG, video‐electroencephalographic.

Baseline characteristics of refractory TLEMTS patients Data were presented as mean ± SD or count (percentage). MTS, mesial temporal sclerosis; TLE, temporal lobe epilepsy; VEEG, video‐electroencephalographic.

Engel classification of postoperative outcome

Engel classification was used for the assessment of the treatment efficiency. As presented in Table 3, the number of refractory TLEMTS patients with Engel classification Classes I, II, III, and IV was 73 (74.5%), 17 (17.3%), 6 (6.1%), and 2 (2.1%), respectively.
Table 3

Classification of postoperative outcome (Engel classification)

Engel classificationPatients (n/%)
Class I73 (74.5)
Class II17 (17.3)
Class III6 (6.1)
Class IV2 (2.1)

Data were presented as count (percentage).

Classification of postoperative outcome (Engel classification) Data were presented as count (percentage).

Occurrence of PD after CAH

There were 17 (17.3%) refractory TLEMTS patients occurring PD after CAH (Table 4). Among these, the numbers of patients with mood disorder, anxiety disorder, psychoses, and interictal dysphoric disorder were 8 (8.2%), 7 (7.1%), 8 (8.2%), and 1 (1.0%), respectively (The subjects may suffer from more than one disorder).
Table 4

Occurrence of PD after surgery

ItemsPatients (n/%)
PD17 (17.3)
Mood disorders8 (8.2)
Anxiety disorders7 (7.1)
Psychoses8 (8.2)
Interictal dysphoric disorder1 (1.0)

The subjects may suffer from more than one disorder. Data were presented as count (percentage).

PD, psychiatric disorders.

Occurrence of PD after surgery The subjects may suffer from more than one disorder. Data were presented as count (percentage). PD, psychiatric disorders.

Comparison of baseline characteristics between PD patients and non‐PD patients

After CAH, there were 17 (17.3%) PD patients and 81 (82.6%) non‐PD patients. PD patients had lower percentage of employment (58.8% vs 81.5%, P = 0.046), longer disease duration (30.18 ± 8.59 years vs 24.30 ± 8.05 years, P = 0.008), and higher percentage of asymmetric VEEG background activity (47.1% vs 16.0%, P = 0.005) compared to non‐PD patients (Table 5). However, no difference was found in other baseline characteristics between PD patients and non‐PD patients (All P > 0.05).
Table 5

Comparison of baseline characteristics between PD patients and non‐PD patients

ItemsPD patients (N = 17)Non‐PD patients (N = 81) P value
Age at surgery (years)39.53 ± 9.1435.20 ± 10.630.122
Gender (male/female)6/1142/390.214
Married status (n/%)
Married9 (52.9)54 (66.7)0.283
Not married8 (47.1)27 (33.3)
Employment status (n/%)
Employed10 (58.8)66 (81.5) 0.046
Unemployed7 (41.2)15 (18.5)
Highest education (n/%)
Primary school or less1 (5.9)20 (24.7)0.129
High school6 (35.2)36 (44.4)
Undergraduate8 (47.1)20 (24.7)
Graduate or above2 (11.8)5 (6.2)
History of smoke (n/%)3 (17.6)14 (17.3)0.971
History of drink (n/%)1 (5.9)4 (4.9)0.872
Age at epilepsy onset (years)9.35 ± 5.4510.90 ± 7.950.396
Disease duration (years)30.18 ± 8.5924.30 ± 8.05 0.008
Family history of epilepsy (n/%)7 (41.2)18 (22.2)0.103
Family history of psychiatric disorders (n/%)3 (17.6)11 (13.6)0.664
Seizure frequencies (times per month)7.8 ± 2.56.4 ± 1.40.052
Presence of febrile seizures (n/%)3 (17.6)9 (11.1)0.733
Presence of left‐sided MTS (n/%)12 (70.6)53 (65.4)0.683
Disorganized VEEG background activity (n/%)6 (35.3)20 (24.7)0.368
Asymmetric VEEG background activity (n/%)8 (47.1)13 (16.0) 0.005
Contralateral slow waves on VEEG (n/%)3 (17.6)22 (27.2)0.413
Contralateral epileptiform discharges on VEEG (n/%)4 (23.5)22 (27.2)0.758

Data were presented as mean ± SD or count (percentage). Comparison was determined by t test or chi‐square test.

PD, psychiatric disorders; MTS, mesial temporal sclerosis; VEEG, video‐electroencephalographic.

Comparison of baseline characteristics between PD patients and non‐PD patients Data were presented as mean ± SD or count (percentage). Comparison was determined by t test or chi‐square test. PD, psychiatric disorders; MTS, mesial temporal sclerosis; VEEG, video‐electroencephalographic.

Baseline characteristics affecting PD occurrence after CAH by logistic regression model analysis

Univariate logistic regression analysis was performed to evaluate baseline characteristics affecting PD occurrence in refractory TLEMTS patients underwent CAH (Table 6). Employed status (P = 0.048) was associated with lower PD occurrence, while highest education (P = 0.027), disease duration (P = 0.012), seizure frequencies (P = 0.014), and asymmetric VEEG background activity (P = 0.007) were correlated with higher PD occurrence in refractory TLEMTS patients underwent CAH. All factors with P value no more than 0.1 were further detected by multivariate logistic regression analysis, which revealed that employed status (P = 0.009) could independently predict lower PD occurrence, while highest education (P = 0.027), disease duration (P = 0.028), seizure frequencies (P = 0.015), and asymmetric VEEG background activity (P = 0.034) were independent factors for predicting higher PD occurrence in refractory TLEMTS patients underwent CAH.
Table 6

Baseline characteristics affecting PD occurrence by logistic regression model analysis

ParametersUnivariate logistic regressionMultivariate logistic regression
P valueOR95% CI P valueOR95% CI
LowerHigherLowerHigher
Age at surgery0.1251.0410.9891.096
Gender (male)0.2200.5060.1711.500
Married status (married)0.2870.5630.1951.621
Employment status (employed) 0.048 0.3250.1060.992 0.009 0.1330.0290.610
Highest education 0.027 2.0501.0843.875 0.027 2.3551.1035.027
History of smoke0.9711.0260.2604.050
History of drink0.8721.2030.12611.489
Age at epilepsy onset0.3940.9630.8841.050
Disease duration 0.012 1.0931.0201.171 0.028 1.0981.0101.194
Family history of epilepsy0.1102.4500.8177.351
Family history of psychiatric disorders0.6641.3640.3365.528
Seizure frequencies 0.014 1.4311.0751.903 0.015 1.5071.0832.097
Presence of febrile seizures0.4591.7140.4127.139
Presence of left‐sided MTS0.6831.2680.4063.962
Disorganized VEEG background activity0.3711.6640.5455.076
Asymmetric VEEG background activity 0.007 4.6501.51414.280 0.034 4.9511.12821.735
Contralateral slow waves on VEEG0.4180.5750.1512.194
Contralateral epileptiform discharges on VEEG0.7580.8250.2432.803

Data were presented as P value, OR (odds ratio), and 95% CI (confidence interval). Baseline characteristics affecting PD occurrence were determined by univariate logistic regression analysis, while all factors with P value no more than 0.1 were further detected by multivariate logistic regression analysis.

Highest education was scored as: primary school or less = 1, high school = 2, undergraduate = 3, graduate, or above = 4. P Value <0.05 was considered significant.

MTS, mesial temporal sclerosis; PD, psychiatric disorders; VEEG, video‐electroencephalographic.

Baseline characteristics affecting PD occurrence by logistic regression model analysis Data were presented as P value, OR (odds ratio), and 95% CI (confidence interval). Baseline characteristics affecting PD occurrence were determined by univariate logistic regression analysis, while all factors with P value no more than 0.1 were further detected by multivariate logistic regression analysis. Highest education was scored as: primary school or less = 1, high school = 2, undergraduate = 3, graduate, or above = 4. P Value <0.05 was considered significant. MTS, mesial temporal sclerosis; PD, psychiatric disorders; VEEG, video‐electroencephalographic.

Predictive value of factors for risk of PD after CAH

According to the results of multivariate logistic regression analysis, there were five independent factors predicting PD occurrence in refractory TLEMTS patients underwent CAH, including employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity. We further performed ROC curves to assess the predictive value of combination of these five factors for PD occurrence in refractory TLEMTS patients underwent CAH. As presented in Figure 1, the area under curve (AUC) in ROC curves of employed status, highest education, disease duration, seizure frequencies and asymmetric VEEG background activity was as follows: 0.613, 95%CI: 0.457‐0.770), 0.670 (95%CI: 0.537‐0.804), 0.697 (95%CI: 0.559‐0.836), 0.676 (95%CI: 0.517‐0.811), and 0.655 (95%CI: 0.499‐0.811), respectively. In addition, the combination of these five factors disclosed a great predictive value for PD occurrence in refractory TLEMTS patients underwent CAH (AUC = 0.871, 95%CI: 0.783‐0.960). The sensitivity and specificity were 70.6% and 92.6% at the best cutoff point, which was defined as the point with the max value of sensitivity plus specificity.
Figure 1

Predictive value of factors in the risk of PD after CAH. The combination of employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity disclosed a great predictive value of PD occurrence in refractory TLE‐MTS patients underwent CAH. The sensitivity and specificity were 70.6% and 92.6% at the best cutoff point. Receiver operating characteristic (ROC) curve was used to assess the predictive value of the factors affecting PD occurrence. CAH, cortico‐amygdalohippocampectomy; PD, psychiatric disorders; TLE‐MTS, temporal lobe epilepsy and mesial temporal sclerosis

Predictive value of factors in the risk of PD after CAH. The combination of employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity disclosed a great predictive value of PD occurrence in refractory TLEMTS patients underwent CAH. The sensitivity and specificity were 70.6% and 92.6% at the best cutoff point. Receiver operating characteristic (ROC) curve was used to assess the predictive value of the factors affecting PD occurrence. CAH, cortico‐amygdalohippocampectomy; PD, psychiatric disorders; TLEMTS, temporal lobe epilepsy and mesial temporal sclerosis

Correlation of PD occurrence after CAH with Engel classification

In order to further evaluate the influence of treatment efficacy on occurrence of PD in refractory TLEMTS patients underwent CAH, we performed Wilcoxon rank sum test, which revealed that the occurrence of PD was correlated with increased Engel classification (P = 0.003), and the occurrence of PD among refractory TLEMTS patients with Engel classification Class I, Class II, Class II, and Class IV were 11.0%, 29.4%, 50.0%, and 50.0%, respectively (Figure 2).
Figure 2

Correlation of PD occurrence after CAH with Engel classification. The occurrence of PD was correlated with increased Engel classification Comparison was determined by Wilcoxon rank sum test. P value < 0.05 was considered significant. CAH, cortico‐amygdalohippocampectomy; PD, psychiatric disorders; TLE‐MTS, temporal lobe epilepsy and mesial temporal sclerosis

Correlation of PD occurrence after CAH with Engel classification. The occurrence of PD was correlated with increased Engel classification Comparison was determined by Wilcoxon rank sum test. P value < 0.05 was considered significant. CAH, cortico‐amygdalohippocampectomy; PD, psychiatric disorders; TLEMTS, temporal lobe epilepsy and mesial temporal sclerosis

DISCUSSION

In the present study, we observed that: Firstly, there were 17 (17.3%) refractory TLEMTS patients occurring PD after CAH, including 8 (8.2%) mood disorders, 7 (7.1%) anxiety disorders, 8 (8.2%) psychoses, and 1 (1.0%) interictal dysphoric disorder. Secondly, employed status independently correlated with lower PD occurrence, while highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity were independently associated with higher PD occurrence in refractory TLEMTS patients underwent CAH. Refractory TLEMTS patients have been reported to have a high risk of psychiatric complications either before or after treatment. Previous studies have reported that there are approximately 20%‐40% TLE patients and estimated 70% refractory epilepsy patients suffering from PD. Among these, depression (24%‐74%), anxiety (10%‐25%), psychoses (2%‐9%), and personality disorders (1%‐2%) are commonly diagnosed PD.7, 8, 13, 24 Most of these studies focus on a total PD occurrence in epilepsy patients, while few studies have investigated PD occurrence after CAH in refractory TLEMTS patients, excluding presurgery PD occurrence. Hence, in order to decrease confounding effects from presurgical PD and more exactly assess PD occurrence after CAH, this cohort study enrolled 98 refractory TLEMTS patients underwent CAH, and all of them were without presurgical PD. We found that there were 17 (17.3%) refractory TLEMTS patients occurring PD after CAH, including 8 (8.2%) mood disorders, 7 (7.1%) anxiety disorders, 8 (8.2%) psychoses, and 1 (1.0%) interictal dysphoric disorder, which was relatively lower compared to previous studies. The possible reason was that the PD occurrence in this study was postsurgery PD, which has eliminated presurgical PD occurrence in refractory TLEMTS patients underwent CAH. To date, many studies have investigated the predictive value of sociodemographic and clinical factors for PD occurrence in ellipse patients. An interesting study discloses that uncontrolled seizures and polytherapy, sense of stigma, and less family support are predictors of high occurrence of anxiety and depressive disorders in epilepsy patients.25 Meanwhile, short‐term seizure‐free period and employed status also have been reported to predict the presence of psychiatric disorders, including depression, anxiety, and psychoses in epilepsy patients.14 Another retrospective study discloses an obvious association of a reduced cognitive function with a pejorative psychiatric outcome after the operation in adult patients with MTLE associated with hippocampal sclerosis (HS) that is the most common focal, drug‐resistant epilepsy syndrome.26 Furthermore, other studies indicate that the stresses of family members correlate with the increased risk of behavior problems and psychological disorders in epilepsy patients.27, 28 Therefore, these previous results identify that several sociodemographic and clinical factors serve as predictive factors for PD in epilepsy patients. In the present study, we observed that employed status could independently predict lower PD occurrence, but highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity were independently factors predicting higher PD occurrence in refractory TLEMTS patients underwent CAH. The possible reasons were as follows: (a) For employed status, considered as a social advantage, it could provide a steady income to decrease finance pressure for treatment of a chronic disease such as epilepsy, thereby reducing psychological burden to decrease the risk of PD occurrence to some extent. (b) For highest education, refractory TLEMTS patients underwent CAH who have higher education might be difficult to accept their disease conditions and sequelae, generating huge mental stress, thereby decreasing their confidence and increasing the risk of PD. (c) For disease duration, seizure frequencies, and asymmetric VEEG background activity, worse disease severity not only increases patients’ physiological pain, but also is considered as a worrisome shade for them to cause feeling of helplessness because the illness still occurs in spite of medications, thereby increasing the risk of PD occurrence, such as depression or anxiety. Therefore, all of employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity factors could affect PD occurrence in refractory TLEMTS patients underwent CAH. In order to know the effects of the combination of these five factors on PD occurrence in refractory TLEMTS patients underwent CAH, we further performed ROC curves and we observed that combination of employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity factors disclosed a great predictive value of PD occurrence in refractory TLEMTS patients underwent CAH. The possible reasons were as follow: Each one of employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity factors would affect patients’ minds to face a chronic disease, such as refractory TLEMTS, affecting their attitude for the treatment and complications to decrease/increase the PD occurrence, thus, the combination of these five factors might be considered as more accurate factor predicting PD occurrence in refractory TLEMTS patients underwent CAH. These results in our study might increase the social awareness about epilepsy and decrease the occurrence of PD in refractory TLEMTS patients underwent CAH. Although some interesting results were found in this study, some limitations still existed. Firstly, sample size in this cohort study was relatively small, which only enrolled 98 refractory TLEMTS patients underwent CAH; further study with a large sample size was necessary. Secondly, all patients recruited in our study were from monocentric, thus, more patients from multicentre are needed to be enrolled in additional study. Thirdly, these patients had only MTS findings on their MRI, and these patients might have dual pathology. In conclusion, employed status, highest education, disease duration, seizure frequencies, and asymmetric VEEG background activity correlate with PD occurrence independently in epileptic patients.
  24 in total

1.  Cognitive changes after unilateral cortico-amygdalohippocampectomy unilateral selective-amygdalohippocampectomy mesial temporal lobe epilepsy.

Authors:  Taner Tanriverdi; Andre Olivier
Journal:  Turk Neurosurg       Date:  2007-04       Impact factor: 1.003

2.  Pre-surgical predictors for psychiatric disorders following epilepsy surgery in patients with refractory temporal lobe epilepsy and mesial temporal sclerosis.

Authors:  Gerardo Maria de Araújo Filho; Lenon Mazetto; Francinaldo Lobato Gomes; Murilo Martinez Marinho; Igor Melo Tavares; Luís Otávio Sales Ferreira Caboclo; Ricardo Silva Centeno; Elza Márcia Targas Yacubian
Journal:  Epilepsy Res       Date:  2012-06-06       Impact factor: 3.045

3.  Predictive factors of long-term outcomes of surgery for mesial temporal lobe epilepsy associated with hippocampal sclerosis.

Authors:  Bertrand Mathon; Franck Bielle; Séverine Samson; Odile Plaisant; Sophie Dupont; Anne Bertrand; Richard Miles; Vi-Huong Nguyen-Michel; Virginie Lambrecq; Ana Laura Calderon-Garcidueñas; Charles Duyckaerts; Alexandre Carpentier; Michel Baulac; Philippe Cornu; Claude Adam; Stéphane Clemenceau; Vincent Navarro
Journal:  Epilepsia       Date:  2017-06-28       Impact factor: 5.864

4.  A randomized, controlled trial of surgery for temporal-lobe epilepsy.

Authors:  S Wiebe; W T Blume; J P Girvin; M Eliasziw
Journal:  N Engl J Med       Date:  2001-08-02       Impact factor: 91.245

5.  Prevalence of and risk factors for anxiety and depressive disorders in Nigerian adolescents with epilepsy.

Authors:  Abiodun O Adewuya; Bola A Ola
Journal:  Epilepsy Behav       Date:  2005-05       Impact factor: 2.937

6.  A proposed diagnostic scheme for people with epileptic seizures and with epilepsy: report of the ILAE Task Force on Classification and Terminology.

Authors:  J Engel
Journal:  Epilepsia       Date:  2001-06       Impact factor: 5.864

7.  Psychosocial adjustment of children with chronic epilepsy and their families.

Authors:  P Hoare; S Kerley
Journal:  Dev Med Child Neurol       Date:  1991-03       Impact factor: 5.449

Review 8.  The psychiatric comorbidity of epilepsy.

Authors:  A Gaitatzis; M R Trimble; J W Sander
Journal:  Acta Neurol Scand       Date:  2004-10       Impact factor: 3.209

9.  Age at onset in patients with medically refractory temporal lobe epilepsy and mesial temporal sclerosis: impact on clinical manifestations and postsurgical outcome.

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Journal:  Seizure       Date:  2015-05-29       Impact factor: 3.184

10.  Psychiatric comorbidity in epilepsy: a study comparing patients with mesial temporal sclerosis and juvenile myoclonic epilepsy.

Authors:  Gerardo Maria de Araújo Filho; Vivianne Pellegrino Rosa; Katia Lin; Luís Otávio Sales Ferreira Caboclo; Américo Ceiki Sakamoto; Elza Márcia Targas Yacubian
Journal:  Epilepsy Behav       Date:  2008-03-03       Impact factor: 2.937

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1.  Predicting mood decline following temporal lobe epilepsy surgery in adults.

Authors:  Christine Doherty; Amy S Nowacki; Mary Pat McAndrews; Carrie R McDonald; Anny Reyes; Michelle S Kim; Marla Hamberger; Imad Najm; William Bingaman; Lara Jehi; Robyn M Busch
Journal:  Epilepsia       Date:  2021-01-19       Impact factor: 6.740

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