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Children with psychogenic non-epileptic seizures (PNES): a detailed semiologic analysis and modified new
Vikas Dhiman1, Sanjib Sinha1, Vikram Singh Rawat2
1Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.
Insights
This study analyzed children with psychogenic non-epileptic seizures (PNES) and proposed a new classification system. A modified classification aids in the early diagnosis of PNES, preventing unnecessary epilepsy drug treatments.
Area of Science:
- Neurology
- Pediatric Neurology
- Clinical Neurophysiology
Background:
- Psychogenic non-epileptic seizures (PNES) are often misdiagnosed, leading to inappropriate treatment.
- Accurate diagnosis and classification of PNES in children are crucial for effective management.
Purpose of the Study:
- To analyze the semiological characteristics of PNES in children.
- To propose a modified classification system for pediatric PNES.
Main Methods:
- Retrospective analysis of 56 children (<18 years) diagnosed with PNES via video-EEG monitoring.
- Detailed recording of semiological features, including movement patterns, emotional signs, and responsiveness.
- Analysis of data using existing adult classifications and development of a modified classification.
Main Results:
- The mean age at onset was 8.9 years, with a diagnostic delay of 3.2 years.
- Common semiologies included flexion/extension movements (70.1%) and negative emotional signs (30.4%).
- A modified classification categorized PNES into Hypermotor (23.2%), partial motor (14.3%), affective/emotional (3.6%), dialeptic (14.3%), 'aura' (5.4%), and mixed (39.3%) types.
Conclusions:
- Misdiagnosis of PNES as epilepsy results in unnecessary anti-epileptic drug (AED) use.
- Detailed semiological analysis and a systematic classification are vital for early PNES diagnosis in children.
- The proposed modified classification aims to improve the standardization of PNES diagnosis and management.
Purpose:
To analyze children with psychogenic non epileptic seizures and propose a modified new classification.
Methods:
This retrospective analysis included 56 children aged <18 years (M:F=26:30; mean age: 12.3±4.0 years) diagnosed PNES on video-EEG monitoring. The semiological characteristics like pattern of bodily movements, emotional signs, stereotypy, ictal vocalization, responsiveness, delay in diagnosis etc. were recorded. We analyzed our data as per previous adult classifications and proposed a modified classification.
Results:
There were 190 recorded attacks (range: 1-9, median: 3) recorded. The age at onset of PNES was 8.9±4.1 years (range: 0.4-15.8 years; median: 9 years), age at diagnosis: 11.9±4.1 years (range: 2-17; median: 12.0 years), delay in diagnosis: 3.2±3.7 years (range: 0-15; median: 2.0 years). Anxiety disorder was seen in 9 (16.1%), stress in 6 (10.7%) children. Flexion/extension bodily movements were seen in 40 (70.1%), negative emotional signs in 17 (30.4%) and tremors in 14 (25%) cases. Thirty-three (58.9%) patients diagnosed as having true seizures initially and were on anti-epileptic drugs (AEDs), 14 patients (25.0%) initially diagnosed of PNES which remained unchanged after VEEG, nine patients (16.1%) had both PNES and true seizures. Twenty-six (46.4%) of our patients into the existing classifications. We then classified our patients into categories of a modified new classification: Hypermotor: 13 (23.2%), partial motor: 8 (14.3%), affective/emotional behaviour phenomena: 2 (3.6%), dialeptic: 8 (14.3%), 'aura': 3 (5.4%), mixed: 22 (39.3%).
Conclusion:
Incorrect diagnosis of epilepsy leads to unnecessary drug treatment. A detailed analysis of semiology and classification helps in early diagnosis of PNES. A modified systematic classification of PNES is proposed which would help in better standardization of PNES.
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