Clinical predictors of abnormal brain computed tomography findings in mild traumatic brain injury: A cross-sectional study.

Abstract

Mild traumatic brain injury (mTBI) is a health challenge world widely. Local evidence is essential to establish decision-making algorithms. According to the lack of sufficient evidence, the present study aimed to investigate the epidemiology of mTBI and predictive factors of abnormal brain computed tomography (CT) scans. The present analytical cross-sectional study was conducted between March 2021 to September 2022 on patients with the diagnosis of mTBI. Subjects were individuals who were diagnosed with mTBI in 2 Level I trauma centers located in Isfahan province, which serves as the referral center for the entire population of the province. Demographic and clinical data were recorded during a face-to-face interview. The brain CT scans were interpreted by an experienced radiologist. Data were analyzed using IBM SPSS Statistics for Mac, Version 24.0. 498 patients were enrolled in the study, consisting of 393 (78.9%) men and 65 (13.1%) children younger than 10 years old. 100 (20%) of them had abnormal CT scan findings. The mean age of participants was 33.39 ± 19.69, which was significantly higher in patients who had abnormal CT scans (P value = .002). Despite the most common mechanism in both groups being motor accidents, the rate of motor accidents was higher in patients with abnormal findings of CT scan (P value = .048). Multiple logistic regression revealed that post-traumatic vomiting (PTV) (odd ratios [OR]: 3.736), post-traumatic amnesia (PTA) (OR:3.613), raccoon eyes (OR:47.878), and Glasgow coma scale (GCS) of 15 (OR:0.11) are predictive factors for abnormal findings. The present study suggested the presence of PTV, PTA, raccoon eyes and GCS of 13 or 14 as predictive factors for abnormal findings in mTBI populations.