Cargando…
Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures
BACKGROUND: Electroencephalogram and neuroimaging in pediatric patients with new-onset afebrile seizures are performed to detect any underlying pathological severe condition that may require emergent neuro-intervention and guide prognosis. This study aims to determine the predictors of abnormal EEG...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609244/ https://www.ncbi.nlm.nih.gov/pubmed/36303125 http://dx.doi.org/10.1186/s12887-022-03668-6 |
_version_ | 1784818971030061056 |
---|---|
author | Ali, Noman Haider, Sohaib Mustahsan, Syed Shaikh, Murk Raheem, Ahmed Soomar, Salman Muhammad Waheed, Shahan |
author_facet | Ali, Noman Haider, Sohaib Mustahsan, Syed Shaikh, Murk Raheem, Ahmed Soomar, Salman Muhammad Waheed, Shahan |
author_sort | Ali, Noman |
collection | PubMed |
description | BACKGROUND: Electroencephalogram and neuroimaging in pediatric patients with new-onset afebrile seizures are performed to detect any underlying pathological severe condition that may require emergent neuro-intervention and guide prognosis. This study aims to determine the predictors of abnormal EEG and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures. METHODS: This single-center cross-sectional study was conducted at a tertiary care hospital in Karachi, Pakistan, from July 01, 2019, to June 30, 2021. All patients aged one month to 18 years who presented with new-onset afebrile seizures were included. Demographic and clinical data were recorded, including age, gender, seizure type, duration of seizure, associated signs and symptoms, and disposition. Multivariable regression analysis was applied to determine the predictors of abnormal EEG and CT scan or MRI findings. RESULTS: Out of 201 participants, most patients were in the infantile age group (41.3%), with an equal gender distribution. The most common type of seizure was generalized onset 152 (75.6%). EEG was performed on a total of 126 patients (62.7%) and out of these patients, 67 patients (53.1%) had abnormal findings. In a multivariable analysis, the age group of 5 to 10 years and seizure duration of more than 5 min were significantly associated with higher odds of abnormal EEG findings. In contrast, only the focal onset of seizure was significantly associated with higher odds of abnormal neuroimaging findings. CONCLUSION: The study emphasizes the need for a protocol regarding the performance of EEG and neuroimaging in children presenting to the ED with new-onset afebrile seizures that would aid emergency physicians in the direction of appropriate management, thus ensuring a better quality of patient care and outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03668-6. |
format | Online Article Text |
id | pubmed-9609244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96092442022-10-28 Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures Ali, Noman Haider, Sohaib Mustahsan, Syed Shaikh, Murk Raheem, Ahmed Soomar, Salman Muhammad Waheed, Shahan BMC Pediatr Research BACKGROUND: Electroencephalogram and neuroimaging in pediatric patients with new-onset afebrile seizures are performed to detect any underlying pathological severe condition that may require emergent neuro-intervention and guide prognosis. This study aims to determine the predictors of abnormal EEG and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures. METHODS: This single-center cross-sectional study was conducted at a tertiary care hospital in Karachi, Pakistan, from July 01, 2019, to June 30, 2021. All patients aged one month to 18 years who presented with new-onset afebrile seizures were included. Demographic and clinical data were recorded, including age, gender, seizure type, duration of seizure, associated signs and symptoms, and disposition. Multivariable regression analysis was applied to determine the predictors of abnormal EEG and CT scan or MRI findings. RESULTS: Out of 201 participants, most patients were in the infantile age group (41.3%), with an equal gender distribution. The most common type of seizure was generalized onset 152 (75.6%). EEG was performed on a total of 126 patients (62.7%) and out of these patients, 67 patients (53.1%) had abnormal findings. In a multivariable analysis, the age group of 5 to 10 years and seizure duration of more than 5 min were significantly associated with higher odds of abnormal EEG findings. In contrast, only the focal onset of seizure was significantly associated with higher odds of abnormal neuroimaging findings. CONCLUSION: The study emphasizes the need for a protocol regarding the performance of EEG and neuroimaging in children presenting to the ED with new-onset afebrile seizures that would aid emergency physicians in the direction of appropriate management, thus ensuring a better quality of patient care and outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12887-022-03668-6. BioMed Central 2022-10-27 /pmc/articles/PMC9609244/ /pubmed/36303125 http://dx.doi.org/10.1186/s12887-022-03668-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ali, Noman Haider, Sohaib Mustahsan, Syed Shaikh, Murk Raheem, Ahmed Soomar, Salman Muhammad Waheed, Shahan Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
title | Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
title_full | Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
title_fullStr | Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
title_full_unstemmed | Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
title_short | Predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
title_sort | predictors of abnormal electroencephalogram and neuroimaging in children presenting to the emergency department with new-onset afebrile seizures |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9609244/ https://www.ncbi.nlm.nih.gov/pubmed/36303125 http://dx.doi.org/10.1186/s12887-022-03668-6 |
work_keys_str_mv | AT alinoman predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures AT haidersohaib predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures AT mustahsansyed predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures AT shaikhmurk predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures AT raheemahmed predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures AT soomarsalmanmuhammad predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures AT waheedshahan predictorsofabnormalelectroencephalogramandneuroimaginginchildrenpresentingtotheemergencydepartmentwithnewonsetafebrileseizures |