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.

D’Agostini, C., Legramante, J.m., Minieri, M., Di Lecce, V.n., Lia, M.s., Maurici, M., et al. (2023). Correlation between Chest Computed Tomography Score and Laboratory Biomarkers in the Risk Stratification of COVID-19 Patients Admitted to the Emergency Department. DIAGNOSTICS, 13(17) [10.3390/diagnostics13172829].

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;Maria Stella Lia;Massimo Maurici;Ilaria Simonelli;Alessandro Terrinoni;Alfredo Giovannelli;Massimo Pieri;Vito Dell’Olio;Dolores Limongi;Sergio Bernardini;Antonio Orlacchio
2023-01-01

Abstract

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.
2023
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore BIO/12
English
CT score
MR-proadrenomedullin
emergency department
laboratory biomarkers
D’Agostini, C., Legramante, J.m., Minieri, M., Di Lecce, V.n., Lia, M.s., Maurici, M., et al. (2023). Correlation between Chest Computed Tomography Score and Laboratory Biomarkers in the Risk Stratification of COVID-19 Patients Admitted to the Emergency Department. DIAGNOSTICS, 13(17) [10.3390/diagnostics13172829].
D’Agostini, C; Legramante, Jm; Minieri, M; Di Lecce, Vn; Lia, Ms; Maurici, M; Simonelli, I; Ciotti, M; Paganelli, C; Terrinoni, A; Giovannelli, A; Pieri, M; Gallù, M; Dell’Olio, V; Prezioso, C; Limongi, D; Bernardini, S; Orlacchio, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/347705
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