Retrospective Evaluation of Sarcopenia as a Predictor of Morbidity and Mortality in Patients Admitted to Emergency Department with Spinal Trauma
Project no. 24067 · Status: Kapanmış (Yayın bekleniyor) · 2023
Summary
<p><strong>Purpose: </strong>To evaluate the presence of sarcopenia in patients who were admitted to emergency department due to spinal trauma and had CT scans and to investigate if muscle mass may be a predictor in determining the prognosis.<strong> </strong></p><p><strong>Material-Method: </strong>A retrospective search of electronic medical records was performed to identify patients who were admitted to Ege University Emergency Department with spinal trauma due to fall from height between June 1, 2017 and June 1, 2022. CT scans of the patients were evaluated and measurements for sarcopenia at the level of L3 vertebra were performed. Patients were divided into two groups as sarcopenic and nonsarcopenic. Patient demographics, clinical characteristics, laboratory findings, severity of trauma, and trauma scores (Trauma Score and Injury Severity Score (TRISS), Injury Severity Score (ISS)), length of hospital stay, need for mechanical ventilation, and mortality were evaluated between the two groups.</p><p><strong>Results: </strong>409 patients (263 men, 146 women) were included. 158 (%38.6) patients had sarcopenia. Median age of the sarcopenic patients was 61 (24-98 years) and there was statistically significant difference between the two groups in terms of age (p<0.001). Sarcopenic patients had a longer hospital stay than the nonsarcopenic patients, which was statistically significant (p=0.03). TRISS and ISS had significant correlation with the length of hospital stay (p<0.001). There was no significant difference between the sarcopenic and nonsarcopenic patients for the need of mechanical ventilation or mortality (p>0.05).</p><p><strong>Conclusion: </strong>CT-determined sarcopenia may be used as a tool to predict the length of hospital stay in patients who are admitted to emergency department with spinal trauma.</p><p>To anticipate the length of hospital stay, models that combine trauma scores with sarcopenia may be helpful. </p>