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ORIGINAL RESEARCH article

Front. Neurol., 02 September 2024
Sec. Pediatric Neurology

Prognostic factors and treatment outcomes in pediatric autoimmune encephalitis: a multicenter study

Ahlam Ahmed Abu Melha,,,Ahlam Ahmed Abu Melha1,2,3,4Amjad Saad Aldress,,,Amjad Saad Aldress1,2,3,4Fahad AlamriFahad Alamri5Lama Saleh Aljomah,,,Lama Saleh Aljomah1,2,3,4Raid Hommady,,,Raid Hommady1,2,3,4Ahmed Al-Rumayyan,,,Ahmed Al-Rumayyan1,2,3,4Fahad Albassam
Fahad Albassam5*
  • 1Department of Pediatric Neurology, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
  • 2King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
  • 3College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
  • 4King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
  • 5Department of Pediatric Neurology, King Fahad Medical City, Riyadh, Saudi Arabia

Introduction: The last few decades have increased our understanding of autoimmune encephalitis (AE). In both the pediatric and adult populations, it proves to be a disease of dramatic acute onset of heterogeneous clinical manifestations, notably encephalopathy with neuropsychiatric symptoms, seizures, and extrapyramidal symptoms. More often, it is triggered by a viral infection in the pediatric age groups, as suggested by the preceding febrile symptoms in over half of cases, and more ostensibly, NMDAR encephalitis post herpes encephalitis. An underlying neoplasm may be present in certain types (i.e., NMDAR encephalitis). The rising rate of antibody detection and subsequent confirmation has been boosted by improved live cellular assay detection methods. The corresponding clinical phenotypes, common underlying malignancies, and histopathological findings have helped improve our management regarding intervention and choice of immunotherapy. New assessment tools such as the Clinical Assessment Scale in Autoimmune Encephalitis (CASE score) have helped improve the objective assessment of impact on cognitive functions (1). Early intervention with immunotherapy (and tumor removal in proven underlying neoplasms) has improved overall outcomes in most presenting patients. But nearly 40% of cases fail to respond to the first tier of treatment (2). The complex interplay between pathogenic autoantibodies, T-cells, B-cells, and cytokines has led to the emergence of additional immunotherapy agents (i.e., tocilizumab and bortezomib).

Methods: In this retrospective observational study of pediatric AE conducted at two tertiary care centers, we observed the clinical characteristics, autoantibody yield, treatment modalities used, and disability scores during presentation and follow-up. Our secondary aim was to delineate prognostic factors for poor outcomes.

Results: Neuropsychiatric symptoms, encephalopathy, and seizures were the predominant manifestations in most of our patients. Younger age groups, refractory seizures, profound encephalopathy, and refractory disease harbored higher disability scores. The group that received combined immunotherapy has shown mitigation of disability score from severe to mild during long-term follow-up, signifying the role of multifaceted immunotherapy in pediatric refractory AE.

Conclusion: Early implementation of combined immunotherapy in refractory cases significantly improved longterm disability scores, in spite of lingering residual effects on neurologic functions, notably cognition, behavior, and speech.

Introduction

Autoimmune encephalitis (AE) represents a rare yet increasingly recognized disorder affecting both adults and children. It was first reported in 1968 as a paraneoplastic autoimmune encephalitis associated with small-cell lung cancer (1). The incidence of AE has arisen during the past two decades from 0.4 to 1.2/100,000 person-years (2). Its prevalence (13.7/100,000) exceeds that of infectious encephalitis (11.6/100,000) (2). This is partly attributable to the rising number of recognized auto-antibodies and the concomitant underlying inflammatory mediators (3). According to a UK multicenter study, 4% of encephalitis patients exhibited NMDA receptor antibodies, making this illness the second most common cause of immune-mediated encephalitis, second only to acute disseminated encephalomyelitis (4). According to the California Encephalitis Project, anti-NMDA receptor encephalitis was more common than viral encephalitis (2).

The pathogenesis of AE is mainly mediated by antibodies (Abs) to the central nervous system (CNS). AE is broadly categorized based on the location of the targeted antigens. Antibodies targeting intracellular proteins (e.g., Anti-Hu, Ma, Glutamic acid decarboxylase, Amphiphysin, and Ri) are associated with onconeural syndromes (e.g., small-cell lung carcinoma) and are often referred to as onconeural antibodies (3, 5, 6). Antibodies targeting neuronal cell-surface receptors are referred to as synaptic antibodies. These target receptors are involved in synaptic transmission and neuronal signaling (7). These include Anti-N-methyl-D-aspartate receptor (NMDAR) antibodies, leucine-rich glioma inactivated-1 (LGI1), contactin-associated protein-like 2 (Caspr2), alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR), gamma-aminobutyric acid (GABA)-A and -B receptors, dipeptidyl-peptidase-like protein-6 (DPPX), and glycine receptor (GlyR). The literature has shown the diverse clinical phenotypes characterizing each autoantibody (8).

The diversity in the AE phenotypes and corresponding treatment response has helped impart a better understanding of the underlying neuroinflammatory mechanisms. Earlier implementation of first and second-line immunotherapy had shown better recovery (9). The initial severity of the encephalitis at the time of presentation is a significant prognostic factor. Children presenting with profound encephalopathy, status epilepticus, or coma may face a longer and more complicated recovery process (10). While many children with AE experience significant neurological recovery, some may face persistent cognitive challenges, including difficulties with memory, attention, and executive function (11). These long-term effects highlight the importance of comprehensive neuropsychological assessments and ongoing support. These studies have utilized standardized assessment scales like the modified Rankin Scale (mRS) and Clinical Assessment Scale in Autoimmune Encephalitis (CASE) scores to evaluate neurological function and predict outcomes (12). We are gaining comprehensive insights into prognostic factors and treatment outcomes concerning seronegative and refractory AE. Several multicenter studies, such as those conducted by Qiao et al. (13) and Pruetarat et al. (11), have shed light on prognostic indicators and treatment responses in AE, primarily focusing on adult populations or specific antibody subtypes, such as anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis (11, 13). In NMDAR encephalitis, pediatric AE can be associated with underlying tumors, such as teratomas. The presence or absence of such tumors and their successful treatment can impact long-term outcomes (14, 15). Moreover, investigations into pediatric AE, such as the study in Korea by Shim et al. (16) have demonstrated varying degrees of disease severity and recovery trajectories, emphasizing the need for tailored prognostic assessments in this population.

Despite these advancements, consensus regarding criteria for prognostic factors and treatment outcomes in the pediatric population is further wanting. Given the potential influence of demographic, clinical, and management variables on disease trajectory, a compelling rationale exists to conduct a comprehensive evaluation within our population. Identifying factors influencing treatment response and long-term outcomes is essential for optimizing therapeutic approaches in pediatric AE. By assessing the clinical response to treatment and identifying potential prognostic factors, we aim to enhance our understanding of pediatric AE, facilitating more personalized management strategies and improving long-term outcomes for affected patients. Given the complexities inherent in pediatric AE, there is an urgent need for comprehensive multicenter studies to elucidate prognostic factors and treatment outcomes in this population. This study seeks to address this gap by delineating pediatric AE’s clinical course and prognostic determinants within our institutions, contributing valuable insights to the global body of knowledge on autoimmune encephalitis.

Materials and methods

Study setting and duration of study

An observational retrospective cohort study was conducted in two tertiary centers, namely King Abdullah Specialist Hospital and King Fahad Medical City, located in Riyadh, Saudi Arabia.

Study subjects/participants

Inclusion criteria

The study included all patients who were admitted into the pediatric department (in both medical centers, the stipulated age is below14 years), who presented sub-acutely (within days to less than 6 weeks) (3), and whose constellation of symptoms fulfilled the clinical consensus criteria for pediatric autoimmune encephalitis (4).

Exclusion criteria

Patients whose clinical and imaging fulfilled criteria for CNS acute demyelinating syndromes (e.g., ADEM, NMO, MS). Patients with rheumatological conditions (Systemic/CNS vasculitis, Behçet’s disease, CNS lupus, Neurosarcoidosis), were excluded. A neuroradiologist in each center reviewed the images for discerning the findings along with reliance of complementary laboratory testing.

Recruitment

Patients meeting the inclusion criteria were identified through a comprehensive review of electronic medical records at the participating hospitals. Patients admitted during the period of April 2015 to December 2022 were included. Assuming a conservative estimated proportion (p) of pediatric patients with autoimmune encephalitis based on previous literature or clinical experience (e.g., 50%) and a desired margin of error (d) of 10%, a minimum sample size of 40 pediatric patients was deemed appropriate for this study. This determination considers practical constraints and feasibility, ensuring adequate statistical power while accommodating potential limitations in data availability or patient recruitment.

Data collection procedures and tool

Data were collected through meticulous chart review of electronic medical records, employing a self-developed data collection sheet. The collected information encompassed demographic details (age, gender, area of origin), clinical characteristics (i.e., encephalopathy, seizures, speech regression extrapyramidal symptoms etc.), neuroimaging findings, serologic and CSF tests. All study subjects had undergone serologic and CSF autoimmune encephalitis panel testing which was conducted at Bioscientia Laboratory (a send-out facility). The method used for antibody testing was indirect immunofluorescence testing. Study subjects were also tested for Myelin Oligodendrocyte Glycoprotein (MOG) IgG antibodies and Aquaporin-4 IgG antibodies. Rheumatological and vasculitis markers in the serum were included. Neuroimaging consisted of neuroinflammatory protocol MRI brain (which included diffusion weighted, T2/FLAIR, and contrast guided T1 images). Management strategies (first-line, second-line, maintenance therapy), and long-term follow-up outcomes (for relapses and CASE scores). To ensure reliability in data collection, inter-rater reliability tests were conducted among research team members. This involved independent chart reviews by multiple team members followed by comparison and assessment of agreement on extracted data. Any discrepancies or disagreements were resolved through discussion and consensus among team members. Additionally, periodic quality checks were conducted throughout the data collection process to maintain consistency and accuracy in data extraction. These measures aimed to enhance the reliability of collected data and minimize potential biases in the study findings. The clinical outcomes of patients with autoimmune encephalitis were assessed according to their Clinical Assessment Scale in Autoimmune Encephalitis (CASE) scores categorized as excellent (0–4), moderate (5–9), or poor (10–27). CASE scores quantitatively measure disease severity and clinical outcomes in autoimmune encephalitis. It includes nine items: seizures, memory dysfunction, psychiatric symptoms, consciousness, language problems, dyskinesia/dystonia, gait instability, and ataxia. It has subitem scores from 0 to 3 for each key item, with a sum of nine keys and a sum score of 27. Higher CASE scores indicate greater symptom burden and functional impairment (17, 18).

Ethical approval

The study’s ethical approval was obtained from the institutional review board of the principal investigator’s institution. Given the study’s retrospective nature, written consent was waived, ensuring stringent adherence to patient privacy and confidentiality protocols.

Data analysis

SPSS version 25 (IBM Corp, Armonk, New York) was used to analyze the data. Descriptive statistics, including mean and standard deviation (SD) for continuous variables, and frequencies and percentages for categorical variables, were calculated to summarize the characteristics of the study population. Statistical tests such as chi-square or Fisher’s exact test were employed to analyze categorical variables, ensuring robust statistical inference. A significance level of p < 0.05 was used to determine statistical significance.

Results

The sociodemographic and clinical characteristics of the 51 patients are depicted in Table 1. The cohort’s mean age was 9.8 years, with a slight male predominance (53%) over females (47%). Most patients (70.5%) did not have comorbidities. The majority hailed from the central region of Saudi Arabia (53%). Psychiatric symptoms (i.e., delusions, hallucinations, disorganized thinking) (66.7%) and abnormal behavior (84.3%) were commonly observed, indicating the predominance of neuropsychiatric manifestations, followed by encephalopathy (78.4%), seizures (68.6%), speech regression (58.8%), and insomnia (55%) (Figure 1). Orofacial dyskinesia was the most common extrapyramidal feature observed (23.5%), followed by choreoathetosis (23.5%).

Table 1
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Table 1. Sociodemographic and clinical characteristics.

Figure 1
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Figure 1. Clinical presentation distribution of AE in children.

Laboratory findings showed that Inflammatory markers such as ESR and CRP were elevated, indicating an underlying inflammatory process. The median WBC count in cerebrospinal fluid (CSF) was within normal limits, suggesting a lack of overt infection. Most CSF PCR and culture results were negative (94%), indicating a low infectious burden. Of the patients who met the criteria for probable autoimmune encephalitis, 18 (35.2%) patients were found to be positive for autoantibodies, confirming their status as definite autoimmune encephalitis. Of these, 17/18 (94%) were NMDA receptor antibodies, and 1/18 (5%) were GAD65 antibodies in the CSF.

Brain MRI revealed abnormalities in a significant proportion of patients, including white matter changes (43.4%) and cortical malformations (1.8%). Initial EEG findings indicated epileptic activity in a notable percentage of cases (32.3%). Pulse steroids (methylprednisolone 20–30 milligram per kg, or 1 gram per dose intravenous daily for 3–5 days) were commonly administered (98.1%) as first-line treatment. Concomitant oral steroids (prednisolone 1.5–2 milligram per kg, with gradual tapering over 4–6 weeks) were used in (68.6%). Intravenous immunoglobulin (IVIG) therapy (2 gram per kg per course over 2–4 days) were used in (88%) of patients. Therapeutic Plasmapheresis (average 5–7 cycles) was utilized in a considerable proportion of cases (41.2%). A subset of patients received monthly IVIG (1–2 gram/kg) infusions (50.1%), indicating a chronic treatment approach.

The analysis showed that among the participants, 27.5% received no second-line immunotherapy, 54.9% received a single second-line immunotherapy agent, and 17.6% received 3rdline treatment (Figure 2). The distribution of different immunotherapy agents used is given in Table 2. For second-line immunotherapy, Rituximab (anti-CD20 monoclonal antibody therapy) was the most used agent (56.9%), followed by Tocilizumab (Interleukin-6 antagonist) (9.8%). The remaining agents encompassed Bortezomib (Proteasome inhibitor), intrathecal methotrexate/dexamethasone, and mycophenolate mofetil (2.0% each). Within the 3rd line treatment group, Rituximab and Tocilizumab were the most used (5.9% each), followed by Mycophenolate mofetil (3.9%) and IT Methotrexate (2%). 5.9% continued maintenance immunotherapy, of which 3.9% comprised Rituximab and 2% Azathioprine.

Figure 2
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Figure 2. Distribution of biological treatments.

Table 2
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Table 2. Distribution of different biological agents used.

The impact of immunotherapy agents on CASE scores at presentation and follow-up was analyzed (Table 3). Results revealed significant discrepancies in scores among the treatment groups both at presentation (p = 0.020) and follow-up (p = 0.018). At presentation, individuals receiving multiple immunotherapies demonstrated markedly higher mean scores (14.89 ± 7.149) compared to those on a single treatment (9.39 ± 6.471) and those without any treatment (7.43 ± 4.450). Similarly, at follow-up, patients undergoing multiple biological treatments exhibited notably elevated mean scores (8.00 ± 7.018) compared to those on a single treatment (3.82 ± 4.489) and those without any treatment (2.36 ± 2.023).

Table 3
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Table 3. Comparison of CASE scores based on biological treatment.

The analysis revealed a significant improvement in patient outcomes over time. At presentation, a substantial proportion of patients fell into the poor category (43.1%), followed by moderate (35.3%) and excellent (21.6%) categories. During follow-up, however, there was a remarkable shift toward better outcomes, with most patients (78.4%) achieving an excellent CASE score. Conversely, only a small percentage remained in the moderate (9.8%) and poor (11.8%) categories (Figure 3).

Figure 3
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Figure 3. Distribution of clinical outcomes.

Discussion

The clinical presentations of AE differ in children from adults because of the evolution of neural circuits, neuroreceptor density, and myelination in the former (10). Children with AE often exhibit multifocal neuropsychiatric symptoms rather than isolated symptoms and are susceptible to long-term mild disabilities (e.g., learning difficulties). The relative prevalence of certain illnesses underlines the significance of immune-mediated encephalitis. The current study’s findings showed that encephalopathy was prevalent in 78.4% of our patients and psychiatric symptoms in 66.7%. Neuropsychiatric symptoms typically manifest suddenly in children who were previously healthy and had AE (19, 20). Distinguishing primary psychiatric disorders from AE-related psychiatric manifestations can be challenging, especially in the absence of overt neurological symptoms. Psychiatric symptoms encompass a broad spectrum of manifestations, including mood disturbances, psychosis, anxiety, and behavioral changes. However, these symptoms may be underreported or misinterpreted, particularly in young children or patients with communication difficulties, and misdiagnosis or delayed diagnosis may occur, leading to inappropriate treatment or prolonged morbidity. New onset psychosis in a previously healthy child should prompt the necessary work-up to investigate underlying immunological, metabolic, and infectious causes. The past few years have shown growing evidence of acute onset psychosis in children that is immune-mediated, particularly with N-Methyl-D-Aspartate (NMDA) receptor, Leucine-rich glioma inactivated-1 (LGI-1), contactin-associated protein-like 2 (CASPR2), and Glutamic Acid Decarboxylase (GAD65) (21, 22). The presence of focal and generalized seizures was another predominating feature in our patients. Epilepsy management in AE can be challenging, as they may demonstrate pharmacoresistance (2326). Increasing evidence suggests a link between inflammation and drug-resistant epilepsy. The latter has been observed in AE, FIRES, NORSE, Rasmussen Encephalitis, and Focal Cortical Dysplasia. which elaborates the role of inflammation in epilepsy, with their respective different underlying pathogenesis and prevailing immune mediators (27). Understanding the underlying pathogenesis influences treatment decisions. For cases such as febrile-infection-related-epilepsy (FIRES), new-onset refractory status epilepticus (NORSE), and super refractory status epilepticus (SRSE), an underlying cytokine storm plays a pivotal role. Anakinra (IL-1 antagonist) has been found to reduce seizure burden in those cases effectively (28). Tocilizumab (IL-6 antagonist) use has been limited to NORSE and SRSE cases with similar effective results in seizure control. However, there was a 20% risk of opportunistic infections. Other entities responsible for immunomodulation in Refractory status epilepticus include the Ketogenic diet and cannabinoids. Alpha-4-beta-1 antagonist (natalizumab) and tumor necrosis factor inhibitors (etanercept) have been found to reduce seizure frequency in Rasmussen encephalitis (28). In AE, where humoral immunity is prominently involved, rituximab (anti-CD20) is commonly used as a second-line treatment due to its relative tolerance and effectiveness. One has also to consider other possible etiologies for refractory seizures and poor response to treatment, such as structural, toxic, metabolic, and genetic etiologies.

In most cases, symptoms will last for some time after the start of treatment (29, 30). AE differs from pediatric acute-onset neuropsychiatric syndrome (PANS) in that PANS patients frequently go through a cycle of symptoms that worsen and improve quickly, often within hours or days, even without treatment. For the PANDAS/PANS group entities, several treatment options have been used, including adenotonsillectomy, antibiotics (penicillin V, Azithromycin), anti-inflammatory drugs (i.e., cyclooxygenase inhibitors, corticosteroids, IVIG, plasma exchange) (31). Evidence indicates that more than one-third of patients with AE exhibit abnormal movements, encompassing a spectrum of manifestations such as ataxia, chorea, dystonia, myoclonus, or tremor (20, 3234). Additionally, cognitive impairment emerges as a predominant and defining symptom in most AE cases. Consequently, diagnosing AE becomes questionable in individuals who demonstrate confirmed intact cognitive abilities, which serves to differentiate AE from PANS, where cognition typically remains unaffected. Assessing memory impairments in young children poses inherent challenges; however, developmental regression, language regression, or speech difficulties can be discernible indicators of pediatric AE (21). These clinical nuances underscore the intricate diagnostic considerations and the importance of a comprehensive evaluation encompassing cognitive and behavioral domains in suspected cases of AE.

Changes in behavior, including irritability, hyperactivity, hypersexuality, sleeplessness, and outbursts of rage, are prevalent in children with AE (29, 35). Our findings showed that 84.3% of our patients had some aspect of abnormal behavior. As reported by previous studies, psychiatric symptoms in AE exhibit a broad spectrum, ranging from mood swings and mild personality changes to severe psychosis, affecting over 50% of AE patients (15, 17, 36). However, the occurrence of new-onset psychosis in children below the age of 13 is infrequent and raises concerns regarding an underlying medical etiology rather than a primary psychiatric disorder (24, 26, 34). Hence, diligent assessment for cognitive impairments, seizures, movement abnormalities, or other neurological manifestations becomes paramount when evaluating children presenting with acute psychiatric symptoms, as these features strongly indicate a potential diagnosis of AE.

In our findings, patients receiving multiple immunotherapies had substantially higher mean CASE scores than those receiving a single second-line agent and those did not require any. This suggests that patients with more severe disease manifestations or refractory symptoms (failure to respond to first and second-line immunotherapy) are more likely to receive multiple immunotherapy agents. Yang et al., in their review of the 3rd-line treatment approach of refractory autoimmune encephalitis, have underlined the multiple underlying pathogenic mechanisms and the growing treatment repertoire for tackling the various immune mechanisms of autoimmune encephalitis with its diverse manifestations. No clear consensus exists emphasizing long-term benefits versus treatment risks (37). Unresponsive or Refractory autoimmune encephalitis cases may require long-term immunosuppression with the immunotherapy of choice for long-term stability and improvement. The results of our study coincide with the existing literature that refractory autoimmune encephalitis entails a worse disability outcome. It further adds that combined immunotherapy for refractory cases helps improve overall disability from severe to milder disability outcomes. This knowledge advocates further studies toward refining the management consensus for AE.

Limitations

The study possesses several potential limitations that warrant consideration and cautious interpretation of the findings. The study’s retrospective nature introduces inherent biases and limitations, such as incomplete data collection, reliance on medical records, and the inability to control variables that may influence outcomes. The lack of a control group hinders the ability to compare outcomes between treated and untreated patients or to evaluate the effectiveness of different treatment modalities. Without a control group, it is challenging to determine whether observed outcomes are attributable to the treatment or other factors. Multiple confounding variables may influence treatment outcomes, including patient demographics, disease severity, comorbidities, and concurrent therapies. Without controlling for these factors, it is difficult to ascertain the intervention’s true effect on the outcomes of interest. The study may be subject to selection bias, as patients included in the analysis may not represent the broader population with autoimmune encephalitis. Patients with more severe or refractory disease may be overrepresented, skewing the results toward poorer outcomes. The study’s small sample size limits the statistical power and generalizability of the findings. Small sample sizes increase the risk of false negatives and limit the ability to detect significant associations or differences between groups. The generalizability of the study results is, therefore, limited, as the findings may not be applicable to a wider population beyond the specific sample analyzed.

Conclusion

In conclusion, our study provides a comprehensive overview of pediatric autoimmune encephalitis, revealing a high prevalence of neuropsychiatric manifestations, underscoring its profound impact on the central nervous system. Additionally, prevalent symptoms such as insomnia, seizures, encephalopathy, and movement disorders were noted. Laboratory findings supported the autoimmune etiology, with elevated inflammatory markers and positive CSF antibodies. Brain imaging and EEG findings were consistent with AE pathology. Analysis of CASE scores indicated significant differences among treatment groups, with higher scores observed in patients receiving multiple biological treatments. Despite this, there was a notable improvement in outcomes over time, with most patients achieving excellent CASE scores at follow-up. Further research is necessary to understand underlying mechanisms better and optimize treatment strategies refractory AE cases.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Institutional Review Boards of King Fahad Medical City and King Abdullah International Research Center. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants’ legal guardians/next of kin due to the retrospective nature of the study.

Author contributions

AAb: Writing – review & editing, Writing – original draft, Validation, Resources, Project administration, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. AAl: Writing – review & editing, Investigation. FAla: Writing – review & editing, Validation, Investigation, Data curation. LA: Writing – review & editing, Investigation. RH: Writing – review & editing. AA-R: Writing – review & editing, Validation, Methodology, Investigation. FAlb: Writing – review & editing, Validation, Supervision, Methodology, Investigation, Conceptualization.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Leypoldt, F, Wandinger, KP, Bien, CG, and Dalmau, J. Autoimmune Encephalitis. Eur Neurol Rev. (2013) 8:31–7. doi: 10.17925/ENR.2013.08.01.31

Crossref Full Text | Google Scholar

2. Dubey, D, Pittock, SJ, Kelly, CR, McKeon, A, Lopez-Chiriboga, AS, Lennon, VA, et al. Autoimmune encephalitis epidemiology and a comparison to infectious encephalitis. Ann Neurol. (2018) 83:166–77. doi: 10.1002/ana.25131

PubMed Abstract | Crossref Full Text | Google Scholar

3. Graus, F, Titulaer, MJ, Balu, R, Benseler, S, Bien, CG, Cellucci, T, et al. A clinical approach to diagnosis of autoimmune encephalitis. Lancet Neurol. (2016) 15:391–404. doi: 10.1016/S1474-4422(15)00401-9

Crossref Full Text | Google Scholar

4. Cellucci, T, Van Mater, H, Graus, F, Muscal, E, Gallentine, W, Klein-Gitelman, MS, et al. Clinical approach to the diagnosis of autoimmune encephalitis in the pediatric patient. Neurol Neuroimmunol Neuroinflamm. (2020) 7:e663. doi: 10.1212/NXI.0000000000000663

PubMed Abstract | Crossref Full Text | Google Scholar

5. Simabukuro, MM, Silva, GDD, Castro, LHM, and Lucato, LT. A critical review and update on autoimmune encephalitis: understanding the alphabet soup. Arq Neuropsiquiatr. (2022) 80:143–58. doi: 10.1590/0004-282x-anp-2022-s122

PubMed Abstract | Crossref Full Text | Google Scholar

6. Ramanathan, S, Al-Diwani, A, Waters, P, and Irani, SR. The autoantibody-mediated encephalitides: from clinical observations to molecular pathogenesis. J Neurol. (2021) 268:1689–707. doi: 10.1007/s00415-019-09590-9

PubMed Abstract | Crossref Full Text | Google Scholar

7. Braczkowski, M, Soszynski, D, Sierakowska, A, Braczkowski, R, Kufel, K, and Labuz-Roszak, B. Autoimmune Encephalitis with Antibodies: Anti-NMDAR, Anti-AMPAR, Anti-GQ1b, Anti-DPPX, Anti-CASPR2, Anti-LGI1, Anti-RI, Anti-Yo, Anti-Hu, Anti-CV2 and Anti-GABAAR, in the course of psychoses, neoplastic diseases, and paraneoplastic syndromes. Diagnostics. (2023) 13:2589. doi: 10.3390/diagnostics13152589

Crossref Full Text | Google Scholar

8. Uy, CE, Binks, S, and Irani, SR. Autoimmune encephalitis: clinical spectrum and management. Pract Neurol. (2021) 21:412–23. doi: 10.1136/practneurol-2020-002567

PubMed Abstract | Crossref Full Text | Google Scholar

9. Stingl, C, Cardinale, K, and Van Mater, H. An update on the treatment of pediatric autoimmune encephalitis. Curr Treatm Opt Rheumatol. (2018) 4:14–28. doi: 10.1007/s40674-018-0089-z

PubMed Abstract | Crossref Full Text | Google Scholar

10. Hardy, D. Autoimmune encephalitis in children. Pediatr Neurol. (2022) 132:56–66. doi: 10.1016/j.pediatrneurol.2022.05.004

Crossref Full Text | Google Scholar

11. Pruetarat, N, Netbaramee, W, Pattharathitikul, S, and Veeravigrom, M. Clinical manifestations, treatment outcomes, and prognostic factors of pediatric anti-NMDAR encephalitis in tertiary care hospitals: a multicenter retrospective/prospective cohort study. Brain and Development. (2019) 41:436–42. doi: 10.1016/j.braindev.2018.12.009

PubMed Abstract | Crossref Full Text | Google Scholar

12. Madani, J, Yea, C, Mahjoub, A, Brna, P, Jones, K, Longoni, G, et al. Clinical features and outcomes in children with seronegative autoimmune encephalitis. Dev Med Child Neurol. (2024). doi: 10.1111/dmcn.15896

PubMed Abstract | Crossref Full Text | Google Scholar

13. Qiao, S, Wu, HK, Liu, LL, Zhang, RR, Wang, ML, Han, T, et al. Characteristics and prognosis of autoimmune encephalitis in the east of China: a multi-center study. Front Neurol. (2021) 12:642078. doi: 10.3389/fneur.2021.642078

PubMed Abstract | Crossref Full Text | Google Scholar

14. Liu, CY, Zhu, J, Zheng, XY, Ma, C, and Wang, X. Anti-N-methyl-D-aspartate receptor encephalitis: a severe, potentially reversible autoimmune encephalitis. Mediat Inflamm. (2017) 2017:1–14. doi: 10.1155/2017/6361479

Crossref Full Text | Google Scholar

15. Luo, Y, Li, J, Jiang, F, Tan, A, Qin, X, Xiao, X, et al. Autoimmune encephalitis with psychotic manifestations and cognitive impairment presenting as schizophrenia: case report and literature review. Front Psych. (2022) 13:827138. doi: 10.3389/fpsyt.2022.827138

PubMed Abstract | Crossref Full Text | Google Scholar

16. Shim, Y, Kim, SY, Kim, H, Hwang, H, Chae, JH, Choi, J, et al. Clinical outcomes of pediatric anti-NMDA receptor encephalitis. Eur J Paediatr Neurol. (2020) 29:87–91. doi: 10.1016/j.ejpn.2020.10.001

Crossref Full Text | Google Scholar

17. Zhang, Y, Tu, E, Yao, C, Liu, J, Lei, Q, and Lu, W. Validation of the clinical assessment scale in autoimmune encephalitis in Chinese patients. Front Immunol. (2021) 12:796965. doi: 10.3389/fimmu.2021.796965

PubMed Abstract | Crossref Full Text | Google Scholar

18. Lim, JA, Lee, ST, Moon, J, Jun, JS, Kim, TJ, Shin, YW, et al. Development of the clinical assessment scale in autoimmune encephalitis. Ann Neurol. (2019) 85:352–8. doi: 10.1002/ana.25421

Crossref Full Text | Google Scholar

19. Gable, MS, Sheriff, H, Dalmau, J, Tilley, DH, and Glaser, CA. The frequency of autoimmune N-methyl-D-aspartate receptor encephalitis surpasses that of individual viral etiologies in young individuals enrolled in the California encephalitis project. Clin Infect Dis. (2012) 54:899–904. doi: 10.1093/cid/cir1038

PubMed Abstract | Crossref Full Text | Google Scholar

20. Dalmau, J, and Graus, F. Antibody-mediated encephalitis. N Engl J Med. (2018) 378:840–51. doi: 10.1056/NEJMra1708712

Crossref Full Text | Google Scholar

21. Valeriani, M, Vigevano, F, Salfa, I, and Papetti, L. Autoimmune encephalitis in children. J Pediatr Infect Dis. (2018) 14:6–10. doi: 10.1055/s-0037-1620267

Crossref Full Text | Google Scholar

22. AlHakeem, AS, Mekki, MS, AlShahwan, SM, and Tabarki, BM. Acute psychosis in children: do not miss immune-mediated causes. Neurosciences. (2016) 21:252–5. doi: 10.17712/nsj.2016.3.20150760

PubMed Abstract | Crossref Full Text | Google Scholar

23. Spatola, M, Petit-Pedrol, M, Simabukuro, MM, Armangue, T, Castro, FJ, Barcelo Artigues, MI, et al. Investigations in GABA(a) receptor antibody-associated encephalitis. Neurology. (2017) 88:1012–20. doi: 10.1212/WNL.0000000000003713

PubMed Abstract | Crossref Full Text | Google Scholar

24. Hoftberger, R, Titulaer, MJ, Sabater, L, Dome, B, Rozsas, A, Hegedus, B, et al. Encephalitis and GABAB receptor antibodies: novel findings in a new case series of 20 patients. Neurology. (2013) 81:1500–6. doi: 10.1212/WNL.0b013e3182a9585f

PubMed Abstract | Crossref Full Text | Google Scholar

25. Carvajal-Gonzalez, A, Leite, MI, Waters, P, Woodhall, M, Coutinho, E, Balint, B, et al. Glycine receptor antibodies in PERM and related syndromes: characteristics, clinical features and outcomes. Brain. (2014) 137:2178–92. doi: 10.1093/brain/awu142

PubMed Abstract | Crossref Full Text | Google Scholar

26. Spatola, M, Sabater, L, Planaguma, J, Martinez-Hernandez, E, Armangue, T, Pruss, H, et al. Encephalitis with mGluR5 antibodies: symptoms and antibody effects. Neurology. (2018) 90:e1964–72. doi: 10.1212/WNL.0000000000005614

PubMed Abstract | Crossref Full Text | Google Scholar

27. Pracucci, E, Pillai, V, Lamers, D, Parra, R, and Landi, S. Neuroinflammation: a signature or a cause of epilepsy? Int J Mol Sci. (2021) 22:6981. doi: 10.3390/ijms22136981

PubMed Abstract | Crossref Full Text | Google Scholar

28. Foiadelli, T, Santangelo, A, Costagliola, G, Costa, E, Scacciati, M, Riva, A, et al. Neuroinflammation and status epilepticus: a narrative review unraveling a complex interplay. Front Pediatr. (2023) 11:1251914. doi: 10.3389/fped.2023.1251914

PubMed Abstract | Crossref Full Text | Google Scholar

29. Titulaer, MJ, McCracken, L, Gabilondo, I, Armangué, T, Glaser, C, Iizuka, T, et al. Treatment and prognostic factors for long-term outcome in patients with anti-NMDA receptor encephalitis: an observational cohort study. Lancet Neurol. (2013) 12:157–65. doi: 10.1016/S1474-4422(12)70310-1

PubMed Abstract | Crossref Full Text | Google Scholar

30. Byrne, S, Walsh, C, Hacohen, Y, Muscal, E, Jankovic, J, Stocco, A, et al. Earlier treatment of NMDAR antibody encephalitis in children results in a better outcome. Neurol Neuroimmunol Neuroinflamm. (2015) 2:e130. doi: 10.1212/NXI.0000000000000130

PubMed Abstract | Crossref Full Text | Google Scholar

31. Cocuzza, S, Maniaci, A, la Mantia, I, Nocera, F, Caruso, D, Caruso, S, et al. Obsessive-compulsive disorder in PANS/PANDAS in children: in search of a qualified treatment-a systematic review and metanalysis. Children. (2022) 9:155. doi: 10.3390/children9020155

Crossref Full Text | Google Scholar

32. Armangue, T, Titulaer, MJ, Malaga, I, Bataller, L, Gabilondo, I, Graus, F, et al. Pediatric anti-N-methyl-D-aspartate receptor encephalitis-clinical analysis and novel findings in a series of 20 patients. J Pediatr. (2013) 162:850–856.e2. doi: 10.1016/j.jpeds.2012.10.011

PubMed Abstract | Crossref Full Text | Google Scholar

33. Malter, MP, Helmstaedter, C, Urbach, H, Vincent, A, and Bien, CG. Antibodies to glutamic acid decarboxylase define a form of limbic encephalitis. Ann Neurol. (2010) 67:470–8. doi: 10.1002/ana.21917

PubMed Abstract | Crossref Full Text | Google Scholar

34. Gresa-Arribas, N, Arino, H, Martinez-Hernandez, E, Petit-Pedrol, M, Sabater, L, Saiz, A, et al. Antibodies to inhibitory synaptic proteins in neurological syndromes associated with glutamic acid decarboxylase autoimmunity. PLoS One. (2015) 10:e0121364. doi: 10.1371/journal.pone.0121364

PubMed Abstract | Crossref Full Text | Google Scholar

35. McKeon, A, and Lennon, VA. Paediatric autoimmune encephalopathies: a lot done, more to do. J Neurol Neurosurg Psychiatry. (2013) 84:709. doi: 10.1136/jnnp-2012-304458

PubMed Abstract | Crossref Full Text | Google Scholar

36. Rosello, R, Girela-Serrano, B, Gomez, S, Baig, B, Lim, M, and Taylor, S. Characterizing the features and course of psychiatric symptoms in children and adolescents with autoimmune encephalitis. Eur Arch Psychiatry Clin Neurosci. (2022) 272:477–82. doi: 10.1007/s00406-021-01293-5

Crossref Full Text | Google Scholar

37. Yang, J, and Liu, X. Immunotherapy for refractory autoimmune encephalitis. Front Immunol. (2021) 12:790962. doi: 10.3389/fimmu.2021.790962

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: autoimmune encephalitis, paraneoplastic syndrome, synaptic receptors, onconeural antibodies, NMDAR antibodies

Citation: Abu Melha AA, Aldress AS, Alamri F, Aljomah LS, Hommady R, Al-Rumayyan A and Albassam F (2024) Prognostic factors and treatment outcomes in pediatric autoimmune encephalitis: a multicenter study. Front. Neurol. 15:1441033. doi: 10.3389/fneur.2024.1441033

Received: 30 May 2024; Accepted: 05 August 2024;
Published: 02 September 2024.

Edited by:

Piero Pavone, University of Catania, Italy

Reviewed by:

Manuela Lo Bianco, University of Catania, Italy
Andrea Santangelo, University of Pisa, Italy

Copyright © 2024 Abu Melha, Aldress, Alamri, Aljomah, Hommady, Al-Rumayyan and Albassam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fahad Albassam, Albassam.fahad@gmail.com

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