Background: It has been reported that mid-regional proadrenomedullin (MR-proADM) could be considered a useful tool to stratify the mortality risk in COVID-19 patients upon admission to the emergency department (ED). During the COVID-19 outbreak, computed tomography (CT) scans were widely used for their excellent sensitivity in diagnosing pneumonia associated with SARS-CoV-2 infection. However, the possible role of CT score in the risk stratification of COVID-19 patients upon admission to the ED is still unclear. Aim: The main objective of this study was to assess if the association of the CT findings alone or together with MR-proADM results could ameliorate the prediction of in-hospital mortality of COVID-19 patients at the triage. Moreover, the hypothesis that CT score and MR-proADM levels together could play a key role in predicting the correct clinical setting for these patients was also evaluated. Methods: Epidemiological, demographic, clinical, laboratory, and outcome data were assessed and analyzed from 265 consecutive patients admitted to the triage of the ED with a SARS-CoV-2 infection. Results and conclusions: The accuracy results by AUROC analysis and statistical analysis demonstrated that CT score is particularly effective, when utilized together with the MR-proADM level, in the risk stratification of COVID-19 patients admitted to the ED, thus helping the decision-making process of emergency physicians and optimizing the hospital resources.

Background/Objectives: Risk stratification of patients presenting to the emergency department (ED) with suspected infection is essential. Soluble urokinase plasminogen activator receptor (suPAR) has emerged as a promising biomarker of immune activation and outcome prediction, but its role in febrile ED patients remains to be fully defined. The aim of this study was to evaluate the prognostic value of suPAR and its potential clinical application in the ED. Methods: A single-center retrospective study including 125 patients was performed. Plasma suPAR levels were measured together with C-reactive protein (CRP) and procalcitonin (PCT), and their association with 28-day mortality using Cox regression and ROC curve analyses was assessed. Results: SuPAR was independently associated with the risk of 28-day mortality, showing a very high negative predictive value. Higher suPAR levels were associated with an increased risk of death. Conclusions: SuPAR may represent a valuable tool to support early patient assessment and risk stratification in the ED, potentially improving resource utilization and patient prioritization.