Journal of Neurosciences in Rural Practice
 
ORIGINAL ARTICLE
Year : 2019  |  Volume : 10  |  Issue : 2  |  Page : 212-217

Radiological parameters to predict hemorrhagic progression of traumatic contusional brain injury


Department of Neurosurgery, Jinnah Postgraduate Medical Centre, Karachi, Pakistan

Correspondence Address:
Asad Abbas
Department of Neurosurgery, Jinnah Post Graduate Medical Center, Rafiqui Shaheed Road, Karachi 75510
Pakistan
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jnrp.jnrp_335_18

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Introduction: Traumatic intracerebral contusion is a frequent factor culminating in death and disability, and its progression relates to unfavorable outcome. We evaluated the radiological factors associated with hemorrhagic progression of contusions (HPC). Materials and Methods: Two hundred and forty-six patients were enrolled in this prospective cohort over a period of 1 year. Contusion volume was quantified using the “ABC/2” technique, whereas progression was considered as >30% increase in the initial volume. Univariate and multivariate statistics were used to examine the correlation between the risk factors of interest and HPC. Results: HPC was seen in 110 (44.7%) patients. Binary logistic regression showed in the final adjusted model that multiplicity (relative risk [RR]: 2.24, 95% confidence limit [CL]: 1.00–5.48), bilateral lesions (RR: 2.99, 95% CL: 1.08–8.25), initial volume of contusion (RR: 4.96, 95% CL: 1.87–13.13), frontal location (RR: 1.42, 95% CL: 1.08–3.56), and presence of concomitant intracranial hematoma (extradural-RR: 3.90, 95% CL: 1.51–10.01, subdural-RR: 2.91, 95% CL: 1.26–6.69, and subarachnoid-RR: 2.27, 95% CL: 1.01–5.80) were significantly associated with HPC. The overall mortality was 18.7% and was almost equal among patients with and without HPC. Mortality was significantly associated with Glasgow Coma Scale on admission (adjusted RR: 12.386, 95% CL: 4.789–32.035) and presence of comorbid conditions (adjusted RR: 0.313, 95% CL: 0.114–0.860). Conclusion: Initial computed tomography scan is a good predictor of high-risk group for HPC.


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