Predictive factors of drug-resistant epilepsy in children presenting under 2 years of age: experience of a tertiary center in Turkey

Dysregulated Apoptosis and Autophagy in Childhood Epilepsy: Correlation to Clinical and Pharmacological Patterns

OBJECTIVES

 We aimed to assess the serum levels of caspase-3 as a marker of apoptosis and microtubule-associated protein 1A/1B-light chain 3 (MAP1-LC3) as an autophagy marker in epileptic children with various clinical and pharmacological types.

METHODS

 This case-control study was carried out on 90 participants (50 pediatric patients with epilepsy and 40 healthy matched children), the patients were categorized into three groups: Group (A): 25 pharmacosensitive epilepsy, Group (B): 25 pharmacoresistant epilepsy, and Group (C): 40 (age, sex, and body mass index) matched healthy children selected as controls. Serum caspase-3 and MAP1-LC3 were measured in all study groups, using commercially available ELISA kits.

RESULTS

 Serum caspase-3 was significantly higher among epileptic children, especially in the pharmacoresistant group, cases managed with multiple antiepileptic drugs, and cases with abnormal EEG findings. Conversely, circulating MAP1-LC3 levels showed a significant reduction in epilepsy cases, particularly in pharmacoresistant cases, in cases treated with multiple antiepileptic drugs, and in cases with abnormal EEG data. A significant negative correlation between serum caspase-3 and MAP1-LC3 was found among epileptic children (r =  -0.369, p = 0.0083). Serum caspase-3 was a more valid biomarker in helping diagnose childhood epilepsy, while serum MAP1-LC3 was more valid in predicting pharmacoresistant type.

CONCLUSION

 The study reveals that serum caspase-3 levels were significantly elevated, particularly in pharmacoresistant cases and those managed with multiple drugs. Conversely, MAP1-LC3 levels were significantly reduced in epilepsy cases, suggesting potential involvement of altered apoptosis and autophagy in childhood epilepsy.

Drug-resistant epilepsy in Morocco: description, prevalence and predictive factors in Casablanca-Settat region

Drug-resistant epilepsy (DRE) affects about one-third of people with epilepsy (PWE). Our study aims to estimate the DRE prevalence and its predictive factors in Morocco. A cross-sectional study was conducted over 18 months. PWE with clinical diagnosis of epilepsy, and with an antiseizure treatment duration >12 months were examined in the neurology, neurosurgery, psychiatry, and pediatrics departments, of different sampled clinical sectors for the Casablanca-Settat region. Sociodemographic and clinical data were collected using a questionnaire during consultations. Antiseizure multi-therapy, a seizure freedom duration <12 months, compliance, and adequate posology were the determining factors for classifying DRE. Data were analyzed using Statistical Package for Social Sciences (SPSS) software, version 21.0. Statistical significance was set at p < 0.05 and logistic regression was performed to determine the predictive factors. In our sample of 446 PWE, the median age is 25 years (IQR: 11.75-44.00). The DRE estimated prevalence was 29.4 %. Pseudo-resistant epilepsy (PRE) was 18.0 %. Multivariate logistic regression analysis reports that single marital status (ORa = 1.94; CI95%: 1.02-3.71), comorbidities and concomitant affections (ORa = 2.14; CI95%: 1.27-3.59), structural etiology (ORa = 1.96; CI95%: 1.16-3.30), pre-ictal aura (ORa = 1.90; CI95%: 1.09-3.29), inter-ictal EEG abnormalities (ORa = 2.45; CI95%: 1.24-4.84) and allopathic treatment use (ORa = 2.10; CI95%: 1.30-3.39) are the predictive factors for DRE. We report an alarming DRE prevalence. Associated factors found may contribute to the prognosis and early management. PWE awareness, facilitating healthcare access and the development of epilepsy surgery are the key points to limit DRE in Morocco and prevent its various complications, especially for the pediatric population.

Predictors of medical intractability in children with epilepsy onset during the first two years of life, excluding infantile epileptic spasm syndrome

PURPOSE

Early childhood epilepsy presents a significant challenge, with approximately 30 % of individuals experiencing treatment failure. This study aimed to identify predictors of medical intractability in children with epilepsy onset during the first two years of life, excluding infantile epileptic spasm syndrome.

METHODS

A total of 323 children were retrospectively evaluated. The analyses included a review of medical records for demographic, laboratory, radiological, and electroencephalographic (EEG) findings. Children were diagnosed with drug-resistant epilepsy (DRE) according to the ILAE diagnostic criteria. Twenty-one potential prognostic predictors were examined in relation to medical intractability.

RESULTS

Among the 323 children (56.7 % male), 119 (36.8 %) had unknown epilepsy, 131 (40.6 %) had structural epilepsy, 53 (16.4 %) had genetic epilepsy, and 20 (6.2 %) had metabolic epilepsy. Over a median follow-up of 68 months, 55.4 % of the children achieved ≥6 months of seizure freedom, 33.1 % developed DRE, and the remaining 11.5 % had rare ongoing seizures but did not meet the criteria for DRE because they were only treated with one antiseizure medication at the last follow-up. Univariate logistic regression analyses identified ten risk factors significantly associated with DRE. Multivariate logistic regression analyses revealed that the presence of developmental delay at epilepsy onset (p = 0.000; OR 7.890; 95 %CI 2.713 to 22.945), history of status epilepticus (p = 0.000; OR 8.247; 95 %CI 3.619 to 18.793), number of antiseizure medications (ASMs) at the sixth month of diagnosis (p = 0.000; OR 20.585; 95 %CI 8.993 to 47.117), and initial EEG findings (p = 0.046; OR 2.366; 95 %CI 1.015 to 5.518) were predictors of medical intractability. Nineteen (5.9 %) children died during follow-up for various reasons, including progressive neurogenetic or neurodegenerative disorders.

CONCLUSION

Developmental delay at epilepsy onset, a history of status epilepticus, the use of two or more ASMs in the sixth month of diagnosis, and abnormal initial EEG findings were associated with medical intractability.

Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy

Background

Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objective of this study aims to detect clinical, electrophysiological, and radiological predictors for drug-resistant epilepsy patients.

Results

One hundred fifty-five patients were included in this study, divided into a well-controlled epilepsy group (103 patients) and a drug-resistant group (52 patients). Both groups were compared regarding clinical, electrophysiological, and neuro-radiological data. Younger age at onset, history of delayed milestones, history of perinatal insult (especially hypoxia), mental retardation, neurological deficits, depression, status epilepticus (SE), complex febrile seizures, focal seizure to bilateral tonic–clonic convulsion as well as multiple seizures and high seizure frequency (daily) at onset, poor response to first anti-seizure drug (ASD), structural and metabolic etiology, abnormal brain imaging, and slow background and multifocal epileptiform discharges in EEG were significant risk factors for the development of drug-resistant epilepsy.

Conclusion

MRI abnormalities are the most significant predictor for drug-resistant epilepsy. Drug-resistant epilepsy is associated with clinical, electrophysiological, and radiological risk factors that can be used to diagnose drug-resistant patients early and choose the best treatment option and time.

Potential clinical and biochemical markers for the prediction of drug-resistant epilepsy: A literature review

Drug resistance is a major challenge in the treatment of epilepsy. Drug-resistant epilepsy (DRE) accounts for 30% of all cases of epilepsy and is a matter of great concern because of its uncontrollability and the high burden, mortality rate, and degree of damage. At present, considerable research has focused on the development of predictors to aid in the early identification of DRE in an effort to promote prompt initiation of individualized treatment. While multiple predictors and risk factors have been identified, there are currently no standard predictors that can be used to guide the clinical management of DRE. In this review, we discuss several potential predictors of DRE and related factors that may become predictors in the future and perform evidence rating analysis to identify reliable potential predictors.

Drug-resistant epilepsy: From multiple hypotheses to an integral explanation using preclinical resources

Drug-resistant epilepsy affects approximately one-third of the patients with epilepsy. The pharmacoresistant condition in epilepsy is mainly explained by six hypotheses. In addition, several experimental models have been used to understand the mechanisms involved in pharmacoresistant epilepsy and to identify novel therapies to control this condition. However, the global prevalence of this disease persists without changes. Several factors can explain this situation. First of all, the pharmacoresistant epilepsy is explained by different and independent hypotheses. Each hypothesis indicates specific mechanisms to explain the drug-resistant condition in epilepsy. However, there are different findings suggesting common mechanisms between the different hypotheses. Other important situation is that the experimental models designed for the screening of drugs with potential anticonvulsant effect do not consider factors such as age, gender, type of epilepsy, and comorbid disorders. The present review focuses on indicating the limitations for each hypothesis and the relationships among them. The relevance to consider central and peripheral phenomena associated with the drug-resistant condition in different types of epilepsy is also indicated. The necessity to establish a global hypothesis that integrates all the phenomena associated with the pharmacoresistant epilepsy is proposed. This article is part of the Special Issue "NEWroscience 2018".

Prognostic factors in epileptic encephalopathies at onset in the first 2 years of life: The experience of a tertiary healthcare center in Italy

INTRODUCTION

The aim of this retrospective cohort study was to identify some prognostic factors in anamnestic/clinical/instrumental data at the onset of epileptic encephalopathy (EE), for multiple outcome measures.

METHODS

We recruited patients diagnosed as affected by EE at Sant'Anna University Hospital, with onset in the first 24 months of life, with follow-up lasting longer than 3 years.

RESULTS

At the end of the follow-up, 6 patients (14%) died within 2 years of age; 20 patient (49%) had a drug-resistant epilepsy (DRE); 9 patients (22%) had a language development delay (LDD); 12 patients (30%) had an autism spectrum disorder (ASD); 20 patients (49%) had a global psychomotor impairment (GPI); 9 patients (22%) needed palliative care; and nobody had a normal psychomotor development. Preexisting developmental delay predicts death (p = 0.009), and in survivors, it is associated with a GPI (p < 0.001); patients with normal neurological examination at the onset of EE only develop a LDD (p = 0.020). Neuroimaging structural alterations are associated with DRE (p = 0.012) and with a GPI (p = 0.013). The history of perinatal risk factors predicts the worst prognosis (death: p = 0.035, GPI: p = 0.015, and access to palliative care: p = 0.007). The absence of early response to treatment is correlated to a poor long-term prognosis (GPI, p = 0.019; DRE, p = 0.001). The multivariate analysis confirms that a normal development at onset predicts the most favorable prognosis, both in terms of survival and cognitive outcome (OR [odds ratio] = 0.1). An early response to treatment is a protective factor for DRE (OR = 0.1). A perinatal pathology is confirmed as an independent prognostic factor of severe comorbidities (access to palliative care: OR = 10.4).

SIGNIFICANCE

This study was conducted to recognize possible prognostic factors among onset data of patients with EE, considering multiple outcome measures. This study design represents an innovative element compared to available papers, which were centered on isolated endpoints of prognosis, such as the prediction of neurocognitive development impairment or drug resistance. The data obtained from the study confirm that EEs prognosis is generally, but not universally, poor. Structural etiology and/or lack of response to antiepileptic drug (AED) within three months are main risk factors for DRE. Normal development at the onset of EEs and early response to treatment are the main positive prognostic factors.

Risk factors for drug-resistant epilepsy: A systematic review and meta-analysis

BACKGROUND

Drug resistant epilepsy (DRE) is very common among children and adults and studies had found some related risk factors for DRE, while the results were not consistent. The aim of this study was to identify risk factors for drug-resistant epilepsy.

METHODS

Three electronic databases (Medline, Embase and Cochrane library) were searched to identify studies with a cohort design reporting on epidemiologic evidence regarding risk factors for DRE.

RESULTS

The pooled prevalence of DRE in newly diagnosed epilepsy patients was 25% (95% CI 17-32%). Abnormal electroencephalography (EEG) (both slow wave and epileptiform discharges) (RR 2.80; 95% CI 1.95-4.0), status epilepticus (SE) (RR 11.60; 95% CI 7.39-18.22), symptomatic etiology (RR 3.36; 95% CI 2.53-4.46), multiple seizure types (RR 3.66; 95% CI 2.37-5.64) and febrile seizures (RR 3.43; 95% CI 1.95-6.02) were identified as strong risk factors for DRE. In addition, firm conclusions cannot be drawn for poor short-term outcomes of therapy, neurodevelopment delay and high initial seizure frequency for the heterogeneity of study results. The predictive effect of focus onset seizure was not stable after removing one study and switching the effect model. Age of onset was not risk factors for DRE.

CONCLUSIONS

The current meta-analysis identified potential risk factors for DRE. The results may contribute to better prevention strategies and treatments for DRE.

Multivariable prediction model of drug resistance in adult patients with generalized epilepsy from Colombia: A case-control study

INTRODUCTION

Patients with drug-resistant epilepsy (DRE) account for most of the burden of epilepsy, and they have poor prognosis in seizure control, higher morbidity, and mortality.

OBJECTIVES

The objective of the study was to develop a prognostic model of drug resistance in adult patients with generalized epilepsy from Colombia.

METHODS

In this case-control study of patients with generalized epilepsy, patients were separated into two groups: one group with DRE (cases) according to the new International League Against Epilepsy (ILAE) definition after a complete evaluation performed by an epileptologist and the other group without DRE (control). Variables were analyzed to identify statistical differences between groups and were then selected to construct a prognostic model from a logistic regression.

RESULTS

One hundred thirty-three patients with generalized epilepsy were studied. Thirty-eight (28.5%) patients had DRE, and 95 (71.5%) did not have DRE. History of status epilepticus, abnormal findings from neurological examination, aura, any degree of cognitive impairment, epileptic seizures at any moment of the day, and any comorbidity were risk factors. The presence of seizures only in the waking state and idiopathic etiology were protective factors. A prognostic model was constructed with previously reported risk factors for DRE and other variables available in the population of this study. In the multivariable analysis, the history of status epilepticus (odds ratio (OR): 5.6, confidence interval (CI): 1.1-20.0, p = 0.031), abnormal findings from neurological examination (OR: 5.7, CI: 2.3-13.9, p = 0.000), and aura (OR: 6.1, CI: 1.8-20.8, p = 0.003) were strongly associated with DRE.

CONCLUSIONS

In adult patients with generalized epilepsy, aura, abnormal findings from neurological examination, and history of status epilepticus were predictive factors for DRE.