Predicting factors for abnormal brain computed tomography in children with minor head trauma

Abstract Background Deciding whether a cranial Computed Tomography (CT) scan in a patient with minor head trauma (MHT) is necessary or not has always been challenging. Diagnosing Traumatic Brain Injury (TBI) is a fundamental part of MHT managing especially in children who are more vulnerable in term...

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Autores principales: Taraneh Naghibi, Mina Rostami, Behrad Jamali, Zhaleh Karimimoghaddam, Alireza Zeraatchi, Asghar Jafari Rouhi
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Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/14bddd56e35340f895779c4b423f41b0
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spelling oai:doaj.org-article:14bddd56e35340f895779c4b423f41b02021-11-21T12:14:41ZPredicting factors for abnormal brain computed tomography in children with minor head trauma10.1186/s12873-021-00540-11471-227Xhttps://doaj.org/article/14bddd56e35340f895779c4b423f41b02021-11-01T00:00:00Zhttps://doi.org/10.1186/s12873-021-00540-1https://doaj.org/toc/1471-227XAbstract Background Deciding whether a cranial Computed Tomography (CT) scan in a patient with minor head trauma (MHT) is necessary or not has always been challenging. Diagnosing Traumatic Brain Injury (TBI) is a fundamental part of MHT managing especially in children who are more vulnerable in terms of brain CT radiation consequences and TBI. Defining some indications to timely and efficiently predict the likelihood of TBI is necessary. Thus, we aimed to determine the impact of clinical findings to predict the need for brain CT in children with MHT. Methods In a prospective cohort study, 200 children (2 to 14 years) with MHT were included from 2019 to 2020. The data of MHT-related clinical findings were gathered. The primary and secondary outcomes were defined as a positive brain CT and any TBI requiring neurosurgery intervention, respectively. In statistical analysis, we performed Binary Logistic regression analysis, Fisher’s exact test and independent samples t-test using SPSS V.26. Results The mean age of participants was 6.5 ± 3.06 years. Ninety patients underwent brain CT. The most common clinical finding and injury mechanism were headache and falling from height, respectively. The results of brain CTs were positive in seven patients (3.5%). We identified three predicting factors for an abnormal brain CT including headache, decreased level of consciousness, and vomiting. Conclusion We showed that repetitive vomiting (≥2), headache, and decreased level of consciousness are predicting factors for an abnormal brain CT in children with MHT.Taraneh NaghibiMina RostamiBehrad JamaliZhaleh KarimimoghaddamAlireza ZeraatchiAsghar Jafari RouhiBMCarticleMinor head traumaChildrenTraumatic brain injuryBrain computed tomography scanSpecial situations and conditionsRC952-1245Medical emergencies. Critical care. Intensive care. First aidRC86-88.9ENBMC Emergency Medicine, Vol 21, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Minor head trauma
Children
Traumatic brain injury
Brain computed tomography scan
Special situations and conditions
RC952-1245
Medical emergencies. Critical care. Intensive care. First aid
RC86-88.9
spellingShingle Minor head trauma
Children
Traumatic brain injury
Brain computed tomography scan
Special situations and conditions
RC952-1245
Medical emergencies. Critical care. Intensive care. First aid
RC86-88.9
Taraneh Naghibi
Mina Rostami
Behrad Jamali
Zhaleh Karimimoghaddam
Alireza Zeraatchi
Asghar Jafari Rouhi
Predicting factors for abnormal brain computed tomography in children with minor head trauma
description Abstract Background Deciding whether a cranial Computed Tomography (CT) scan in a patient with minor head trauma (MHT) is necessary or not has always been challenging. Diagnosing Traumatic Brain Injury (TBI) is a fundamental part of MHT managing especially in children who are more vulnerable in terms of brain CT radiation consequences and TBI. Defining some indications to timely and efficiently predict the likelihood of TBI is necessary. Thus, we aimed to determine the impact of clinical findings to predict the need for brain CT in children with MHT. Methods In a prospective cohort study, 200 children (2 to 14 years) with MHT were included from 2019 to 2020. The data of MHT-related clinical findings were gathered. The primary and secondary outcomes were defined as a positive brain CT and any TBI requiring neurosurgery intervention, respectively. In statistical analysis, we performed Binary Logistic regression analysis, Fisher’s exact test and independent samples t-test using SPSS V.26. Results The mean age of participants was 6.5 ± 3.06 years. Ninety patients underwent brain CT. The most common clinical finding and injury mechanism were headache and falling from height, respectively. The results of brain CTs were positive in seven patients (3.5%). We identified three predicting factors for an abnormal brain CT including headache, decreased level of consciousness, and vomiting. Conclusion We showed that repetitive vomiting (≥2), headache, and decreased level of consciousness are predicting factors for an abnormal brain CT in children with MHT.
format article
author Taraneh Naghibi
Mina Rostami
Behrad Jamali
Zhaleh Karimimoghaddam
Alireza Zeraatchi
Asghar Jafari Rouhi
author_facet Taraneh Naghibi
Mina Rostami
Behrad Jamali
Zhaleh Karimimoghaddam
Alireza Zeraatchi
Asghar Jafari Rouhi
author_sort Taraneh Naghibi
title Predicting factors for abnormal brain computed tomography in children with minor head trauma
title_short Predicting factors for abnormal brain computed tomography in children with minor head trauma
title_full Predicting factors for abnormal brain computed tomography in children with minor head trauma
title_fullStr Predicting factors for abnormal brain computed tomography in children with minor head trauma
title_full_unstemmed Predicting factors for abnormal brain computed tomography in children with minor head trauma
title_sort predicting factors for abnormal brain computed tomography in children with minor head trauma
publisher BMC
publishDate 2021
url https://doaj.org/article/14bddd56e35340f895779c4b423f41b0
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