AI Article Synopsis

  • The study developed two clinical decision rules for predicting intracranial injuries in patients with mild traumatic brain injury (TBI) based on data from a multi-center analysis of 1,164 patients.
  • The decision rules included 13 key predictors such as age, mechanism of injury, and various neurological symptoms, demonstrating strong accuracy in identifying the need for CT scans and neurosurgical interventions.
  • The developed rules show good calibration and can assist healthcare providers in risk stratification for patients with mild TBI, particularly in low- to middle-income countries.

Article Abstract

Background: The majority of clinical decision rules for prediction of intracranial injury in patients with mild traumatic brain injury (TBI) were developed from high-income countries. The application of these rules in low or middle-income countries, where the primary mechanism of injury was traffic accidents, is questionable.

Methods: We developed two practical decision rules from a secondary analysis of a multicenter, prospective cohort of 1,164 patients with mild TBI who visited the emergency departments from 2013 to 2016. The clinical endpoints were the presence of any intracranial injury on CT scans and the requirement of neurosurgical interventions within seven days of onset.

Results: Thirteen predictors were included in both models, which were age ≥60 years, dangerous mechanism of injury, diffuse headache, vomiting >2 episodes, loss of consciousness, posttraumatic amnesia, posttraumatic seizure, history of anticoagulant use, presence of neurological deficits, significant wound at the scalp, signs of skull base fracture, palpable stepping at the skull, and GCS <15 at 2 hours. For the model-based score, the area under the receiver operating characteristic curve (AuROC) was 0.85 (95%CI 0.82, 0.87) for positive CT results and 0.87 (95%CI 0.83, 0.91) for requirement of neurosurgical intervention. For the clinical-based score, the AuROC for positive CT results and requirement of neurosurgical intervention was 0.82 (95%CI 0.79, 0.85) and 0.84 (95%CI 0.80, 0.88), respectively.

Conclusions: The models delivered good calibration and excellent discrimination both in the development and internal validation cohort. These rules can be used as assisting tools in risk stratification of patients with mild TBI to be sent for CT scans or admitted for clinical observation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500687PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0239082PLOS

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