Literature DB >> 34887239

Predictors of outcome among 31 children with infantile spasms syndrome.

Ana Kvernadze1, Nana Tatishvili2, Giorgi Lomidze3, Nino Tarkhnishvili4, Tamar Kipiani4, Sofia Tatishvili1.   

Abstract

OBJECTIVE: Infantile spasms syndrome is a severe epileptic encephalopathy. Management of infantile spasms remains challenging because of pharmacoresistant forms and relapsing seizures. A high number of patients with this syndrome have neurodevelopmental delay. The main objective of our study was to determine predictors to measure the neurodevelopmental outcome of patients with infantile spasms.
METHODS: We prospectively evaluated 31 patients with infantile spasms from 2014 to 2017 at three hospitals in Tbilisi, Georgia. Various demographic data were evaluated at the first visit; video-EEG, brain MRI and neurodevelopmental evaluation were performed upon admission. A diary to record spasms was provided and completed by all parents/caregivers. Seizures were recorded on video and the phenomenology of infantile spasms was studied. Children were followed for one and two years after the first assessment.
RESULTS: Neurodevelopmental deterioration was revealed in 61.1% on the second and 53% on the third evaluation in patients with onset of spasms before seven months of age. The mean score on the ASQ communication domain was low among structural cases. Eleven patients with pre-existing delay had developmental regression based on the second evaluation (Fisher's exact test: 7.2; df 1; p=0.01). SIGNIFICANCE: Our study reveals that age at onset of infantile spasms at less than seven months, pre-existing developmental delay, low ASQ scores and structural abnormalities on MRI are predictors of poor developmental outcome. Our data suggest that clinicians should inform parents at the first clinical evaluation about prognosis, and intervention should be started as early as possible in order to improve development.

Entities:  

Keywords:  West syndrome; autism spectrum disorder; infantile spasms; neurodevelopment; prospective study

Mesh:

Year:  2022        PMID: 34887239     DOI: 10.1684/epd.2021.1397

Source DB:  PubMed          Journal:  Epileptic Disord        ISSN: 1294-9361            Impact factor:   1.819


  2 in total

1.  Automatic BASED scoring on scalp EEG in children with infantile spasms using convolutional neural network.

Authors:  Yuying Fan; Duo Chen; Hua Wang; Yijie Pan; Xueping Peng; Xueyan Liu; Yunhui Liu
Journal:  Front Mol Biosci       Date:  2022-08-10

2.  Brain Magnetic Resonance Imaging Findings in Infantile Spasms.

Authors:  Osama Y Muthaffar
Journal:  Neurol Int       Date:  2022-03-03
  2 in total

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