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Is it possible to predict mortality in patients with high-grade blunt liver injury? A single trauma center study
Muhammed Kadir Yıldırak1, Hanife Seyda Ulgur1, Mert Gedik1
1Department of General Surgery, University of Health Sciences Umraniye Training and Research Hospital, İstanbul-Türkiye.
Background:
Blunt abdominal trauma constitutes a significant portion of trauma cases and is often associated with liver injury. Given that high-grade liver injuries remain life-threatening, identifying patients who will likely require more vigilant attention and care is crucial. This study aims to determine the parameters that increase mortality in patients with high-grade liver trauma.
Methods:
This study enrolled 38 patients with Grade III or higher liver injuries, treated by the general surgery department between 2008 and 2023. Eleven patients who died were categorized into Group 1, and 27 survivors were placed in Group 2. We evaluated their respective mechanisms of injury, imaging results, Glasgow Coma Scale scores, Base Excess, Lactate levels, pH, and Injury Severity Score findings. Receiver Operating Characteristics (ROC) analysis was performed for parameters with significant differences, and certain cutoff values were determined.
Results:
The grade of liver injury and additional abdominal organ injuries were significantly higher in Group 1 (p<0.05). The difference in extra-abdominal injury sites was statistically insignificant between the groups (p>0.05). Erythrocyte suspension requirements were significantly higher in Group 1 (p<0.05). Average lactate and base deficit values were also significantly higher in Group 1 (p<0.05), while leukocyte counts were significantly lower in Group 1 (p<0.05).
Conclusion:
Base deficit, hemoglobin (Hb), lactate levels, injury severity, liver injury grade, accompanying abdominal injuries at admission, and erythrocyte suspension demands were found to be associated with increased mortality rates. Certain cutoff values for the aforementioned parameters could be established. However, further data are required to confirm these findings.
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