Factors Influencing the Withdrawal of Antiepileptic Drugs in Adult Patients with Symptomatic Seizures Secondary to Neuronal Surface Antibodies-Associated Autoimmune Encephalitis.

PURPOSE: This retrospective study aimed to investigate the relationship between clinical characteristics, seizure outcomes, and the potential factors influencing the withdrawal of antiepileptic drugs (AEDs) in adult patients with symptomatic seizures secondary to neuronal surface antibody (NSAb)-associated autoimmune encephalitis (AE). PATIENTS AND METHODS: Eighty-one patients (age ≥18 years) diagnosed with NSAb-associated AE were included in this retrospective study. After at least 1 year of follow-up, clinical details, magnetic resonance imaging (MRI) findings, electroencephalography (EEG) data, cerebrospinal fluid parameters, and the therapeutic outcomes were analyzed. Patients who needed long-term AEDs to control seizures were divided into two groups (withdrawal ≤1 year and withdrawal >1 year). Multivariable logistic regression analysis was performed to identify the risk factors affecting the AEDs' withdrawal in patients with seizures secondary to NSAb-associated AE.
RESULTS: During the 12-month follow-up after AEDs' withdrawal, 28 (44.4%) patients among the 63 patients who needed long-term AEDs stopped AEDs within 1 year, while 35 (55.6%) patients continued AEDs treatment. Multivariable logistic regression analysis showed that delayed immunotherapy, status epilepticus (SE), and elevated intrathecal Immunoglobulin G synthesis rate of 24 hours (24-h intrathecal IgG) were independent risk factors for delayed withdrawal in patients with seizure secondary to NSAb-associated AE (odds ratios: 1.129, 6.497, 3.415, P<0.05). The receiver operating characteristics (ROC) curve analysis showed that the area under the curve (AUC) of delayed immunotherapy, SE, and elevated 24-h intrathecal IgG was 0.816 (95% CI=0.711-0.921, P<0.001).
CONCLUSION: Delayed immunotherapy, status epilepticus and elevated 24-hour intrathecal IgG synthesis rate are the factors that may influence the decision to delay AEDs' withdrawal.

Introduction

Autoimmune encephalitis (AE) is a new group of neurological diseases mediated by specific antibodies against neuronal antigens. Its common clinical manifestations include changes in behavior, psychosis, seizures, memory and cognitive deficits, abnormal movements, dysautonomia, and a decreased level of consciousness.1 According to the location of the antigen targeted by the antibody, it is further divided into three subtypes, different in treatment and outcomes: associated with antibody against the intracellular target, associated with antibody against the cell surface antigen, and without recognizable antibody association.2 The most common types of neuronal surface antibodies (NSAb) associated with AE are N-methyl-d-aspartate receptor (NMDAR) antibodies,3 leucine-rich glioma-inactivated (LGI) 1 antibodies,4 and anti-gamma-aminobutyric acid-B receptor (GABA(BR)) antibodies.5

Seizures usually occur as the only major symptom in patients with AE in the acute stage or with disease progression.6 Compared to other forms of epilepsy caused by intraneuronal antibodies, most patients with NSAb-associated AE rarely develop epilepsy from seizures. Seizure symptoms of most patients are effectively controlled after initial immunotherapy and/or antiepileptic therapy.7,8 However, in many cases, the short-term curative effect known as “honeymoon period” led to confusion and omissions in the AEDs’ management. Recent follow-up study by Yao et al found that the seizure control rate reached the peak in the first 12 months, but decreased in the following 6 months. Combined with previous clinical experience, it is proposed that 1 year after the onset of AEDs is the key period for AEDs’ withdrawal.9 Geis et al also proposed that patients with seizures secondary to AE should have an appropriate follow-up (1 year) before the diagnosis of epilepsy is considered in those who continue having seizures or need sustained AEDs.10 At present, more studies focus on the risk prediction of seizure secondary to NSAb-associated AE, as a kind of epilepsy that can be treated or even cured. Many studies also investigate pathogenic factors that may affect the incidence of epilepsy in AE patients. However, there is still a lack of guidance on the treatment of subsequent AEDs, and the timing of discontinuation of AEDs depends more on the personal experience of clinicians. Although it has been agreed that in the majority of cases there is no need for a long AEDs treatment, the lack of attention to the late prevention measures and premature discontinuation of treatment might become an important reason for the recurrence of epilepsy in such patients. This retrospective study analyzed the clinical characteristics of seizures secondary to NSAb-associated AE and potential factors influencing AEDs’ withdrawal. We hypothesized that it is possible to find some relatively objective indicators rather than subjective experience, to aid decision-making regarding which patients can withdraw drugs as soon as possible or need to prolong the medication time to reduce the probability of epilepsy recurrence.

Materials and Methods

Patients

Sixty-seven adult (age ≥18 years) patients with symptomatic seizures secondary to NSAb-associated AE and diagnosed at the Neurology Department of the First Affiliated Hospital of Guangxi Medical University between January 2015 and December 2019 were included. The inclusion criteria were 1) rapid onset (<3 months) of symptoms of encephalitis, 2) seizures in the acute or subacute phase of the disease, 3) positive detection of NMDAR, LGI1, or GABA(BR) antibody in the cerebrospinal fluid (CSF), and 4) immunotherapy as initial treatment.

This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Guangxi Medical University, Guangxi, China. Due to the retrospective design, the requirement for individual consent was waived by the committee.

Clinical Data Collection

The following information was retrieved from medical records: demographic information, seizure semiology, associated tumor, CSF tests, and magnetic resonance imaging (MRI) and electroencephalogram (EEG) findings. According to the 2017 guidelines of the International League Against Epilepsy (ILAE), seizures were classified based on clinical symptoms.11 Status epilepticus (SE) was defined as persistent or recurrent seizures that lasted more than 5 min without complete recovery of consciousness.12 Baseline seizure frequency was categorized into two groups: single seizure and recurrent seizure.

CSF examinations included total cell count, total protein content, albumin, and IgG content in both CSF and serum. Pleocytosis was defined as CSF white blood cell count >5×106/L. Protein concentration exceeding 450 mg/L was defined as abnormal elevation. Detection of antibodies in the CSF was performed by specific staining against NMDAR, LGI1, or GABA(BR) isolated from rat hippocampus and cerebellum, and positive cell-based assay with HEK293 cells transfected with respective target proteins.

The evaluation of blood-CSF barrier function was performed using QAlb (albumin-CSF/serum-quotient), IgG index (IgG CSF/IgG serum)/(Alb CSF/Alb serum), and 24-h intrathecal IgG synthesis rate ([(IgG CSF-IgG serum/369)-(Alb CSF-Alb serum/230)×(IgG serum/Alb serum)×0.43]×5), which are considered reliable parameters for monitoring the synthesis of intrathecal immunoglobulin.13,14 Dysfunction was defined as QALB >7.00, 24-h intrathecal IgG synthesis rate >3.3 mg/dL, and IgG index >0.7.

Evaluation of Outcomes

All patients were followed up for at least 1 year after AED withdrawal. Data on seizure outcomes and medications were collected every 3 months during follow-up at the outpatient clinic or via telephone interviews after discharge. The modified Rankin scale (mRS) was used to evaluate the functional status before immunotherapy.15 Seizure remission was defined as no seizures for at least 1 year after AED withdrawal. Effective seizure control referred to ≥50% reduction in seizure frequency. The patients taking AEDs were divided into two groups: drug withdrawal ≤1 year and drug withdrawal group >1.

Statistical Analysis

IBM SPSS 22.0 was used for data analysis. Descriptive statistics were performed for each variable, including means, medians, and interquartile range. Student’s t-test was used to analyze the continuous variables with a normal distribution. Non-parametric tests were used to analyze continuous data with a non-normal distribution. The categorical data were presented as n (%) and analyzed using the χ2 test. Multivariable Logistic regression analysis was used to explore the independent risk factors affecting delayed withdrawal of patients with seizures secondary to AE. The prediction of delayed withdrawal factors was analyzed by receiver operating characteristics (ROC) analysis. P<0.05 was considered statistically significant.

Results

Clinical Characteristics of Study Patients

We identified a total of 81 adult patients with NSAb-associated AE. Of these, 73 patients had seizures during the acute or subacute phase of AE. The incidence of seizures in NSAb-associated AE was 90.1%. Six patients were lost during follow-up. Therefore, 67 eligible patients were included in the present study: 54 with anti-NMDAR encephalitis, six with LGI1 antibody encephalitis, and seven with GABA(BR) encephalitis. The demographic and clinical characteristics of the patients are shown in Table 1. The median age at onset was 26 (range, 18–72) years. The patients with anti-NMDAR encephalitis (median, 21.5 years) were younger than those with anti-LGI1 encephalitis (median, 40 years) and patients with anti-GABA (BA) encephalitis (median, 48.3 years). Thirty (44.8%) patients were women. The median baseline of mRS was 4 (range, 2–5). The median delay to the initiation of immunotherapy was 12 (range, 3–121) days. The median hospital length of stay was 20 (range, 5–135) days. Eight patients had associated tumors [five women with anti-NMDAR encephalitis had ovarian teratoma, and three men with anti-GABA(BR) encephalitis had lung cancer]. Paired serum and CSF samples were available from 67 patients; all patients had antibodies in the CSF, and 49 (73.1%) patients were serum antibody-positive. All 67 patients underwent brain MRI and EEG; 31 (46.3%) had abnormal MRI, and 48 (71.6%) had abnormal EEG. The CSF cell count was elevated in 35 (52.2%) patients. Only six (9.0%) patients had elevation of CSF total protein. Seven (10.4%) patients showed the disruption of the blood–brain barrier (BBB) (QALB >7). An elevated IgG index was observed in 18 (26.9%) patients, and 41 (61.2%) patients showed elevated 24-h intrathecal IgG.

Table 1

Summary of the Clinical Characteristics of 67 Adult Patients with Symptomatic Seizures Secondary to AE

Total (n = 67/81)
Sex
Female (n, %)	30 (44.8)
Male (n, %)	37 (55.3)
Median age at onset (range)	26.00 (18–72)
Median baseline of mRS (range)	4 (2–5)
Median delay to initiation of immunotherapy (range)	12 (3–121)
Median hospital length of stay, days (range)	20 (5–135)
Associated tumor (n, %)	8 (11.9)
Type of AE
NMDAR (n, %)	54 (80.6)
LGI1 (n, %)	6 (9.0)
GABA(BR) (n, %)	7 (10.4)
Seronegative/Seropositive (n/n)	18/49
Abnormal MRI findings (n, %)	31 (46.3)
Abnormal EEG findings (n, %)	48 (71.6)
CSF findings:
Pleocytosis (>5/mm3) (n, %)	35 (52.2)
Elevated total protein (>450 mg/L) (n, %)	6 (9.0)
QAlb >7.00 (n, %)	7 (10.4)
Elevated IgG index (n, %)	18 (26.9)
Elevated 24-h intrathecal IgG (n, %)	41 (61.2)
Treatment
First-line immunotherapy (n, %)	67 (100)
Second-line immunotherapy (n, %)	45 (67.2)

The overview of medications for all patients is shown in Figure 1. All 67 patients were treated with first-line immunotherapy (combination of methylprednisolone and/or intravenous immunoglobulin (IVIG) and/or therapeutic plasma exchange) and 67.2% with additional second-line immunotherapy (azathioprine, mycophenolate mofetil, cyclophosphamide, or tacrolimus).

Figure 1

Overview of medication in 67 adult patients with symptomatic seizures secondary to neuronal surface antibody-associated autoimmune encephalitis, according to different antibody types.

Seizure Semiology of Different AE Types

The seizure semiology of the different AE types is shown in Table 2. The most common type of seizure in all patients was generalized tonic-clonic seizure (GTCS) (53.7%, 36/67). The second most common seizure type was focal to bilateral tonic-clonic seizure (FBTCS) (16.4%). Most patients with anti-NMDAR encephalitis (92.6%, 50/54) experienced recurrent seizures, while only four patients suffered from single seizures. In the other two types of AE, 100% of the patients had recurrent seizures. SE was observed in 19.4% (13/67) patients; 92.3% (12/13) of these were patients with anti-NMDAR encephalitis.

Table 2

Seizure Semiology of Different Antibody Types

Total	NMDAR-Ab	LGI1-Ab	GABA(BR)-Ab
	n = 54	n = 6	n = 7
Sex
Female (n, %)	25 (46.3)	2 (33.3)	2 (28.6)
Male (n, %)	29 (53.7)	4 (66.7)	5 (71.4)
Median age at onset (range)	21.50 (18–56)	40.00 (24–72)	48.43 (36–69)
Type of seizure
Generalized tonic–clonic seizure, GTCS (n, %)	31 (57.4)	1 (16.7)	4 (57.1)
Focal to bilateral tonic–clonic seizure, FBTCS (n, %)	10(18.5)	/	1 (14.3)
Focal-impaired awareness seizure, FIAS (n, %)	1 (1.9)	2 (33.3)	/
Focal aware seizure, FAS (n, %)	2 (3.7)	/	/
Unknown-onset tonic–clonic, UTCS (n, %)	4 (7.4)	/	/
Faciobrachial dystonic seizure, FBDS (n, %)	/	2 (33.3)	/
Multiple forms (n, %)	6 (11.1)	1 (16.7)	2 (28.6)
Seizure frequency
Once (n, %)	4 (7.4)	/	/
Repeat (n/%)	46 (92.6)	6 (100)	7 (100)
SE (n, %)	12 (22.2)	/	1 (14.3)
Treatment (show in Figure 1)
Seizure outcome 12 months after AED withdrawal
Seizure recession (n, %)	40 (74.1)	4 (66.7)	6 (85.7)
>50% seizure reduction (n, %)	11 (20.4)	2 (33.3)	1 (14.3)
≤50% seizure reduction (n, %)	3 (5.5)	/	/

The prognosis of seizures in different AE groups was slightly different at 12 months after discharge. Overall, 95.5% of the patients could become seizure-free or achieve reduction after adequate immunotherapy and/or AED treatment. The discharged patients were followed up every 3 months for at least 1 year. The withdrawal distribution of patients taking AEDs every 3 months is shown in Figure 2. Among the 63 patients who took AEDs and immunotherapy, nearly half of them withdrew AEDs within the first 12 months of follow-up.

Figure 2

The proportion of patients underwent antiepileptic drugs (AEDs) withdrawal (white) compared to still receiving AEDs (black) among patients with seizure secondary to autoimmune encephalitis, from 3 to 13 months of follow-up.

Prognostic Factors of Seizures Secondary to NSAb-Associated AE

Of the 67 patients, four had single seizures and took immunotherapy alone. Furthermore, 94% (63/67) were treated with immunotherapy and one or more AEDs. The patients taking AEDs (63 patients) were divided into two groups to analyze the influencing factors for the withdrawal from AEDs (Table 3): AEDs’ withdrawal ≤1 year and AEDs’ withdrawal >1 year. The clinical characteristics, seizure semiology, and auxiliary examination were compared between the two groups. No significant differences were observed between the two groups in terms of sex (P=0.775), age at seizure onset (P=0.258), associated tumor (P>0.99), abnormal MRI findings (P=0.091), and abnormal EEG findings (P=0.409). No significant difference was found in the course of treatment between different antibody types. The statistical analysis revealed that the related factors included time to initiating immunotherapy, SE, and elevated 24-h intrathecal IgG rate (P<0.05). Delayed immunotherapy, SE, and elevated 24-h intrathecal IgG were included in the multivariable logistic regression analysis. The results were analyzed by regression coefficient (β), odds ratios (OR), standard error, Z-test, 95% confidence intervals (CI), and P-value (Table 4). The results showed that delayed immunotherapy, SE, and 24-h intrathecal IgG were independent risk factors for delayed withdrawal in patients with seizures secondary to AE (all P<0.05). In order to evaluate the predictive effect of the above three parameters on the timing of the withdrawal of AEDs, a ROC curve analysis was performed. The results showed that the area under the curve (AUC) was 0.816 (95% CI=0.711–0.921, P<0.001) (Figure 3).

Table 3

Predictors for Delayed Withdrawal of AEDs

Total	AEDs Withdrawn ≤1 year	AEDs Withdrawn >1 year	P value
	n = 28	n = 35
Sex
Female (n, %)	11 (39.3)	15 (42.9)	0.775
Male (n, %)	17 (60.7)	20 (57.1)
Age at seizure onset (median, range)	25.00 (18–64)	30.00 (18–72)	0.258
Associated tumor (n, %)	4 (14.3)	4 (11.4)	>0.99
Time to the initiation of immunotherapy, days (median, range)	8 (3–26)	14 (4–121)	<0.001
SE (n, %)	2 (7.1)	11 (31.4)	0.018
Abnormal MRI findings (n, %)	10 (35.7)	20 (57.1)	0.091
Abnormal EEG findings (n, %)	19 (67.9)	27 (77.1)	0.409
Type of AE
NMDAR (n = 50) (n, %)	23 (82.1)	27 (77.1)	0.626
LGI1 (n=6) (n, %)	2 (7.1)	4(11.4)	0.684
GABA(BR) (n=7) (n, %)	3 (10.7)	4 (11.4)	>0.99
CSF findings
Pleocytosis (n, %)	14 (50.0)	17 (48.6)	0.910
Elevated total protein (>450 mg/L) (n, %)	2 (7.1)	3 (8.6)	0.835
QAlb >7.00 (n, %)	2 (7.1)	5 (14.3)	0.448
Elevated IgG index (n, %)	6 (21.4)	11 (31.4)	0.374
Elevated 24-hour intrathecal IgG (n, %)	13 (46.4)	27 (77.1)	0.012

Table 4

Multivariable Logistic Regression Analysis of Predictors for Delayed Withdrawal of AEDs

	β Coefficient	OR (95% CI)	P-value
Median delay (IQR) to immunotherapy	0.121	1.129 (1.024–1.244)	0.014
SE	1.871	6.497 (1.101–38.329)	0.039
Elevated 24-hour intrathecal IgG	1.228	3.415 (1.007–11.581)	0.049

Figure 3

Receiver operating characteristic (ROC) curve for predicting value of the timing of immunotherapy initiation, status epilepticus and 24-h intrathecal Immunoglobulin G synthesis for the decision of antiepileptic drugs withdrawal in patients with seizure secondary to autoimmune encephalitis.

Discussion

Approximately 45.9 million adults worldwide suffer from epilepsy16 and it is estimated that one-third of all cases of epilepsy in adults have an unknown etiology.17 Recent studies suggested that AE might explain at least 20% of adult-onset cases of epilepsy with unknown etiology.18,19 The incidence rate of secondary seizures is probably underestimated, as the expansion of the autoimmune antibody spectrum of the central nervous system (CNS). Different from T cell-mediated irreversible neuronal damage induced by antibodies to intracellular antigens (anti-Hu and Yo), cell membrane surface antigens [NMDAR antibody, LGI1 antibody, and GABA(BR) antibody] have direct effects on neural function.20 Most patients with NSAb-associated AE can finally achieve a complete seizure-free state and stop taking AEDs in a relatively short time. Therefore, referring to the current ILAE terminology, seizures in the context of AE at initial or relapsing presentations are best conceptualized as acute symptomatic seizures instead of epilepsy.21 This study examined the clinical characteristics of seizures secondary to the three most common NSAb-associated AE [NMDAR antibody, LGI1 antibody, and GABA(BR)] and the factors that may influence the decision to delay AEDs’ withdrawal.

Despite High Frequency of Seizures, Majority of Patients Successfully Withdrew AEDs Within 1 Year and Did Not Relapse at Least 12 More Months

In this study, 90.1% of the patients developed seizures, which is consistent with previous findings (ranging from 57% to 100%).22,23 The proportion of male patients with seizures was higher than female (37 male/30 female). This partially confirms the findings of some previous studies, reporting that seizure is more likely to appear as the first symptom in male AE patients.24 This gender difference suggests that sex hormone may be one of the factors of epilepsy susceptibility.25 Although the incidence of seizures was high and the conditions of the patients were relatively serious at the time of admission with the average mRS score of 4, more than half of the patients successfully withdrew AEDs' treatment within 1 year and did not relapse during the follow-up for at least 12 months. These findings are also in line with the conclusions of other studies, such as a few patients with NMDAR, LGI1, or GABA(BR) encephalitis have developed clinical “epilepsy”.26 The risk factors of epilepsy that were considered in this study, according to the existing literature,27–29 included delayed immunotherapy, hippocampal atrophy in neuroimaging, interictal epileptiform discharges, IED on EEG during follow-up, first occurrence of status epilepticus. Consistent with the literature, we also found that seizures secondary to AE had the characteristics of AED resistance:10 among the 63 patients treated with AEDs, 26 patients experienced a failure of AED therapy alone before initiating immunotherapy. Previous animal model studies of anti-NMDA antibody encephalitis revealed its possible underlying mechanism was related to the production of specific cytokines (IL-1β, HMGB1, and TNF-α) that induce neuronal hyperactivity, dysfunction of the BBB, and damage to neurons.30 These pathological changes lead to the maintenance of the inflammation due to seizures and chronic decrease of seizure threshold, thus promoting seizures.

Seizure Forms of Different Antibody Types Demonstrated Their Own Characteristics, but are Comparable in Response to Treatment

In this study, GTCS (57.4%), FBTCS (18.5%) and multiple forms (11.1%) were the three most common forms of seizures in patients with anti-NMDAR encephalitis. This data confirmed the EEG findings of previous study that focal abnormalities are rare for this form.31 In patients with GABA-BR encephalitis, seizures was the first and prominent symptom with the main types of seizures being GTCS (57.1%) and multiple forms (28.6%). In contrast, two of the six (33.3%) patients with LGI1 antibodies had faciobrachial dystonic seizure (FBDS), the most characteristic seizure type in patients with LGI1 encephalitis. Due to the poor response of FBDS to AEDs, whether it should be classified as autoimmune seizures or dystonia is still controversial. Previous studies found that the ictal EEG of FBDS showed a decrease of 1s in amplitude in all the electrodes before onset, indicating that it was epileptic. Combined with imaging findings (basal ganglia lesions were found in brain MRI), it was considered that FBDS was essentially epileptic seizure and originated from subcortical basal ganglia.22,32 Despite differences in form, 74.1% of the patients with anti-NMDAR encephalitis, 66.7% of the patients with LGI1 encephalitis and 85.7'% of the patients with GABA-BR encephalitis demonstrated successful seizure recession 12 months after AED withdrawal, without statistically significant differences in treatment response. Two elderly male patients had lung cancer: one had small-cell lung cancer, and the other one had alveolar cell carcinoma and invasive adenocarcinoma. In those cases, seizures were still not completely controlled until the removal of the tumors and radiotherapy, even after the combined use of multiple AEDs and immunotherapy. Those results suggest that antiepileptic treatment itself needs to be individualized, and some more objective indicators in addition to clinical experience may be needed to provide more guidance on withdrawal.

Delayed Immunotherapy, SE and 24-Hour Intrathecal IgG Synthesis Rate are the Factors That May Influence the Decision to Delay AEDs’ Withdrawal

Some of the previous studies have found no difference between early and late withdrawal of AEDs in the short term,29,33 therefore little research is published on the factors that may influence the decision to delay AEDs’ withdrawal in AE. In this study, patients were divided into two groups (≤1-year withdrawal and >1-year withdrawal) and logistic regression analysis showed that some of the factors were independently linked to the prolonged use of AEDs, namely delayed immunotherapy, SE and 24-hour intrathecal IgG synthesis rate. Using ROC analysis, it was found that the AUC for predicting withdrawal using the above three parameters was 0.848, indicating a good reference value. Some patients in our study had drug resistance when using AEDs alone at the beginning of the disease and then showed rapid improvement when combining immunotherapy. The phenomenon indicated that the lack of immunotherapy might be the reason why they had AED resistance. Therefore, delayed initiation of immunotherapy can cause inability to break this vicious circle, failing to control the seizures quickly. After that prolonged seizure duration, the duration of cerebral ischemia and hypoxia, and the cascading effects of various inflammatory factors produced by seizures might lead to a higher probability of irreversible structural damage to the brain. Admittedly, among the 13 patients with SE in this study, 11 patients needed to take AEDs for more than 1 year, suggesting that they were more likely to transform from seizures to chronic epilepsy.Furthermore, 24-h intrathecal IgG synthesis rate is an index for quantitative monitoring of intrathecal immunoglobulin synthesis. Tourtellotte formula fully considers and excludes the effects of two factors: increased serum IgG and increased blood–brain barrier permeability on intrathecal synthesis rate.34 Therefore, it is a more reliable index for evaluating intrathecal synthesis of intrathecal immunoglobulin. At present, there are few studies on the correlation between the 24-h intrathecal IgG synthesis rate and clinical features in patients with AE. Previous similar reports demonstrated QALB association with poor short-term prognosis, along with a significant correlation between the increase of 24-hour intrathecal IgG synthesis rate and the change of QALB.2,35 In this study, some patients had abnormal BBB function (QAlb >7.00), but the proportion was low (7/63, 11.1%), and it was not related to the withdrawal of AEDs (P=0.448). Therefore, this study shows that the 24-hour intrathecal synthesis rate can objectively reflect the degree of inflammatory response of CNS, and may be used as a reference index for clinicians to consider the withdrawal time of AEDs. Due to the small sample size and low proportion of increased QALB in this study, the correlation between abnormal QALB and abnormal 24-hour intrathecal IgG synthesis rate still needs to be confirmed by further research.

The novelty of this study is identifing three factors that can affect the withdrawal of AEDs in patients with seizures secondary to AE. It can provide clinicians with some reference for the withdrawal of AEDs. However, this study has several limitations. The disease is relatively rare, the sample size is small, and patients with seizures secondary to AE are rarer. The long follow-up time range increases the difficulty of expanding the sample. Although the sample size was sufficient for multivariable logistic regression for risk factor analysis, a larger multicenter sample is still needed.

Conclusion

The frequency of seizures secondary to NSAb-associated AE was abnormally high, and the seizure forms of different antibody types have their own characteristics, but tend to have good response to treatment. While paying attention to the management of immunotherapy, the corresponding adjustment of AEDs’ strategy after the acute phase of the disease should not be ignored. In addition to the personal experience of clinicians, delayed immunotherapy, status epilepticus and 24-hour intrathecal IgG synthesis rate are the factors that may influence the decision to delay AEDs’ withdrawal.