Classification of Guillain-Barré syndrome based on electrophysiological features

https://doi.org/10.53730/ijhs.v6nS7.13711

Authors

  • Aysha Zafar Assistant professor department of Neurology MTI,LRH hosptial peshawar
  • Saad Ali Assistant professor department of Neurology MTI,LRH hosptial peshawar
  • Zia Ullah Gazi Consultant neurologist dhq hospital timergira , lower dir
  • Arshad Iqbal Consultant neurosurgeon dhq hospital timergira , lower dir
  • Sajid Khan Assistant Professor department of neurosurgery Prime Hospital peshawar
  • Muhammand Shoaib Senior registrar department of neurosurgery MTH hosptial Peshawar

Keywords:

Classification, Guillain-Barré Syndrome, Electrophysiological, Features

Abstract

Objective: Our study aimed to identify the most common subtypes of Guillian Barre Syndrome in our sample group and evaluate their electrophysiological features to better understand the disorder. Materials and methods: Between January 2020 and February 2021, we gathered information from patients diagnosed with Guillian Barre Syndrome and referred to the Neurology  department at Lady Reading Hospital. Results: We enrolled 39 people with Guillian Barre Syndrome; 26 were male (67%), whereas 13 were female (33%). Based on electrophysiological analyses, axonal diversity is most common (AMAN followed by AMSAN). The average age of a patient with AMSAN was 39.2 21.8 years, but those with the demyelinating form were only 28 14.5. Springtime was the greatest incidence of GBS with 13 cases (33%), followed by fall with 12 cases (31%). Conlusion: A significant incidence of the axonal variety of [Guillain-Barré Syndrome] was found in our research, which was conducted in Khyber Pakhtunkhwa, Pakistan.

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Published

30-11-2022

How to Cite

Zafar, A., Ali, S., Gazi, Z. U., Iqbal , A., Khan, S., & Shoaib , M. . . (2022). Classification of Guillain-Barré syndrome based on electrophysiological features. International Journal of Health Sciences, 6(S7), 6462–6467. https://doi.org/10.53730/ijhs.v6nS7.13711

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