Abstract
Background: The prevalence of sepsis among patients in the intensive care unit is high. Thus, the evaluation of prognosis in these patients is paramount. This study aimed to appraise the role of the abdominal composition quantified from computed tomography (CT) scan in predicting a 90-day mortality rate among patients with sepsis in the emergency intensive care unit (EICU).Method: Through Cox regression analysis, the skeletal muscle density (SMD, skeletal muscle area (SMA), and subcutaneous adipose tissue area (SAT) assessed by the CT abdomen were associated with the 90-day mortality rate, with adjustment to the acute physiology and chronic health assessment (APACHE II) score, sequential organ failure assessment (SOFA) score, and BMI. Linear regression was performed to analyze other clinical factors.Result: The Cox regression analyses showed that compared with the non-survival group at 90-day, patients with a higher SMD (HR per 10 HU = 0.619; 95% CI = 0.450 - 0.853; p = 0.003), SMA (HR per 10 cm2 = 0.870; 95% CI = 0.781 - 0.969; p = 0.011), and SAT (HR per 10 cm2 = 0.954; 95% CI = 0.912 - 0.999; P = 0.047) were significantly associated with a lower 90-day mortality rate. These significant correlations persisted after adjusting for the BMI, APACHE II, and SOFA scores. Further analysis revealed gender differences in the SMD and skeletal muscle index (SMI) between the survival and the non-survival group.Conclusion: The content of body composition assessed by an abdominal CT scan is highly associated with the 90-day mortality of patients with sepsis in the EICU, of which the SMD, SMA, and SAT represent valuable prognostic factors.