Correlation between Chest Computed Tomography Score and Laboratory Biomarkers in the Risk Stratification of COVID-19 Patients Admitted to the Emergency Department
Cartesio D’Agostini,
Jacopo M. Legramante,
Marilena Minieri,
Vito N. Di Lecce,
Maria Stella Lia,
Massimo Maurici,
Ilaria Simonelli,
Marco Ciotti,
Carla Paganelli,
Alessandro Terrinoni,
Alfredo Giovannelli,
Massimo Pieri,
Mariacarla Gallù,
Vito Dell’Olio,
Carla Prezioso,
Dolores Limongi,
Sergio Bernardini,
Antonio Orlacchio
Affiliations
Cartesio D’Agostini
Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Jacopo M. Legramante
Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Marilena Minieri
Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Vito N. Di Lecce
Emergency Department, Tor Vergata University Hospital, 00133 Rome, Italy
Maria Stella Lia
Unit of Laboratory Medicine, Tor Vergata University Hospital, 00133 Rome, Italy
Massimo Maurici
Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
Ilaria Simonelli
Nursing Science and Public Health, University of Rome Tor Vergata, 00133 Rome, Italy
Marco Ciotti
Unit of Virology, Tor Vergata University Hospital, 00133 Rome, Italy
Carla Paganelli
Emergency Department, Tor Vergata University Hospital, 00133 Rome, Italy
Alessandro Terrinoni
Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Alfredo Giovannelli
Unit of Laboratory Medicine, Tor Vergata University Hospital, 00133 Rome, Italy
Massimo Pieri
Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Mariacarla Gallù
Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Vito Dell’Olio
Department of Surgical Science, University of Rome Tor Vergata, 00133 Rome, Italy
Carla Prezioso
Laboratory of Microbiology of Chronic-Neurodegenerative Diseases, IRCCS San Raffaele Roma, 00166 Rome, Italy
Dolores Limongi
Department of Human Sciences and Quality of Life Promotion, San Raffaele University, 00166 Rome, Italy
Sergio Bernardini
Department of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy
Antonio Orlacchio
Department of Surgical Science, University of Rome Tor Vergata, 00133 Rome, Italy
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.
