La Tunisie medicale · 2017
Clinical factors predictive of traumatic brain injuries in case of mild traumatic brain injury in children: case-control study.
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Gueddari Widad, Ouardi Amine, Talbi Sanaa, Salam Sihem, Zineddine Abdelhadi
Аннотация
BACKGROUND: Mild head injury (MHI) is very common in children and the problem is a lack of consensus criteria for the indication of a brain CT.
OBJECTIVE: To determine predictors of cranio-cerebral lesions (CCL) in the case of MHI in children.
METHODS: Case-control study over a period of 3 years. Included children aged 1 month to 15 years, were those admitted to the department of Pediatric Emergencies for MHI and had performed a brain CT. The principal outcome was the presence of traumatic brain injury. Statistical analysis focused on univariate and multivariate tests was done using SPSS version 16.0.
RESULTS: We included 418 children. The median age was 6 years with a sex ratio of 2.24. The main mechanisms of trauma were the traffic accident. Cerebral CT proved to be abnormal in 191 children (45.7%). The main lesions found were the skull fractures, brain contusion and epidural hematoma. Predictors retained after logistic regression were the presence of an initial loss of consciousness regardless of its duration (p = 0.007), hematoma of the scalp (p = < 0.0001) and at least one clinical sign for a fracture of the skull base (p = 0.016).
CONCLUSION: In case of MHI in children, the initial loss of consciousness, the presence of a hematoma of the scalp and the presence of at least one sign in favor of the skull base fracture seem most predictive of cranio-cerebral lesions.
OBJECTIVE: To determine predictors of cranio-cerebral lesions (CCL) in the case of MHI in children.
METHODS: Case-control study over a period of 3 years. Included children aged 1 month to 15 years, were those admitted to the department of Pediatric Emergencies for MHI and had performed a brain CT. The principal outcome was the presence of traumatic brain injury. Statistical analysis focused on univariate and multivariate tests was done using SPSS version 16.0.
RESULTS: We included 418 children. The median age was 6 years with a sex ratio of 2.24. The main mechanisms of trauma were the traffic accident. Cerebral CT proved to be abnormal in 191 children (45.7%). The main lesions found were the skull fractures, brain contusion and epidural hematoma. Predictors retained after logistic regression were the presence of an initial loss of consciousness regardless of its duration (p = 0.007), hematoma of the scalp (p = < 0.0001) and at least one clinical sign for a fracture of the skull base (p = 0.016).
CONCLUSION: In case of MHI in children, the initial loss of consciousness, the presence of a hematoma of the scalp and the presence of at least one sign in favor of the skull base fracture seem most predictive of cranio-cerebral lesions.