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1.
J Coll Physicians Surg Pak ; 31(7): 138-140, 2021 07.
Artigo em Inglês | MEDLINE | ID: mdl-34271816

RESUMO

After novel coronavirus pandemic that emerged from Wuhan, China in December 2019, several cases of inflammatory and immune-mediated disorders have been reported, thought to be triggered by SARS-CoV-2 infection. Neuromyelitis optica spectrum disorder (NMOSD) is one of the autoimmune demyelinating disorders, which is thought to be triggered by viral infection. Herein, we describe a case of NMOSD in a pediatric patient with a previous SARS-CoV-2 infection, acting as a possible triggering factor. Key Words: Neuromyelitis optica spectrum disorder (NMOSD), Aquaporin 4 (AQP-4), Severe acute respiratory syndrome (SARS).


Assuntos
COVID-19 , Neuromielite Óptica , Aquaporina 4 , Autoanticorpos , Criança , China , Humanos , SARS-CoV-2
2.
Cureus ; 13(6): e15938, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-34336438

RESUMO

Background Epilepsy is a neurological disorder that presents with recurrent seizures associated with erratic brain activity which can be measured through EEG in addition to other neurological investigations. However, EEG may show abnormal patterns and waveforms while the patient is having a seizure which is crucial for making an accurate diagnosis. Objective This study aims to evaluate the spectrum of EEG findings in newly diagnosed epileptic patients as part of a neurological investigation. Material and methods This cross-sectional study was carried out at the Department of Paediatric Neurology, the Children's Hospital, and the Institute of Child Health, Lahore for six months. A sample of 122 patients was enrolled in this study with an age range of >1 month and <18 years, with a diagnosis of epilepsy based upon ≥2 unprovoked seizures that occurred ≥ 24 hours apart. After obtaining informed consent from the patients, a one-time EEG was carried out and details were noted such as type and frequency of the discharge, site of maximum amplitude, paroxysm morphology, and onset and offset (focal/generalized) of the discharges. The data was analyzed using SPSS v.25 (IBM SPSS Statistics for Windows, Armonk, NY). Results The mean age of children enrolled in this study was 5.58 ± 3.46 years. There were 70 (57.4%) males and 52 (42.6%) females. The mean age at the onset of seizures was 4.85 ± 3.16 years. Out of 122 children, focal onset aware epilepsy type was noted in 8 cases, focal onset impaired awareness was noted in 19 cases and generalized onset motor type of epilepsy was noted in 95 cases. Furthermore, EEG findings were normal in 41 (33.61%) patients; however, 81 (66.39%) EEG findings of the patients place them in the abnormal range. On EEG, paroxysm morphology was typical in 78 (96.3%) patients while atypical in 3 (3.7%) patients. Discharge spectrum was generalized in 46 (56.8%) patients, localized in 19 (23.5%) patients, bilateral independent in 1 (1.2%) patient and multifocal in 15 (18.5%) patients. Discharge pattern was periodic in seven (8.6%) cases, rhythmic delta activity was noted in 4 (4.9%) cases, spike and wave pattern was noted in 68 (84.0%) cases and sharp and wave pattern was observed in 36 (44.4%) patients. Conclusion Our study concluded that EEG findings were abnormal in 81 (66.39%) patients. Thus to make the recommendations locally and nationally, we observed that EEG can highlight the abnormal pattern and discharges in newly diagnosed individuals with epilepsy. Our findings could be instrumental to identify the type of EEG discharges in a timely fashion while making diagnoses and treatment plan protocols accordingly. This study finding recommends the early application of EEG after the presentation of epileptic symptoms by the patient. We further recommend that further similar studies be conducted in multiple tertiary care settings to reach a firm and valuable conclusion.

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