Identifying Clinical and Demographic Predictors of Post-Traumatic Cerebral Infarction in Patients with Traumatic Brain Injury
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Traumatic brain injury (TBI) is a major public health concern, often leading to severe morbidity and mortality.One of the critical secondary complications following TBI is post-traumatic cerebral infarction (PTCI), which significantly impacts patient outcomes.This study aims to identify clinical and demographic predictors of PTCI in TBI patients to enhance management strategies.Methods: A retrospective analysis was conducted on 150 patients diagnosed with TBI over the last year.Patients were included based on the presence of hemorrhagic findings on initial computed tomography (CT) scans.Exclusion criteria eliminated individuals with pre-existing neurological conditions or incomplete medical records.Data collection focused on demographic characteristics, Glasgow Coma Scale (GCS) scores, and clinical conditions.Patients with brain herniation were identified through CT scans showing midline shift and clinical signs of altered consciousness.This comprehensive approach ensured thorough monitoring of patient conditions and the effectiveness of interventions following severe head injuries.Results: Among the 150 patients, 21 developed PTCI, with a notable correlation between lower GCS scores and increased mortality rates.The incidence of PTCI was highest within the first two weeks post-injury, with significant predictors including low GCS scores, the presence of subarachnoid hemorrhage, and hypotensive shock.The mortality rate was significantly higher in patients with GCS scores below 8 compared to those with higher scores. Conclusion:The study underscores the significant association between low GCS scores and the development of PTCI in patients with TBI.The findings highlight the need for vigilant monitoring and early intervention strategies to mitigate the risk of PTCI and improve patient outcomes.
Authors: Ankit S. Shah, Nilay Langhnoja
Institution: Sir Sayajirao General Hospital Medical College
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4407135495