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Prognostic value of copeptin and mid-regional proadrenomedullin in COVID-19-hospitalized patients

Articolo
Data di Pubblicazione:
2022
Abstract:
Background Biomarkers are used for diagnosis, risk stratification and medical decisions. Copeptin and mid-regional proadrenomedullin (MR-proADM) are markers of stress and endothelial function, respectively, which have been studied in pneumonia, sepsis and septic shock. This study aimed to assess whether copeptin and MR-proADM could predict coronavirus disease 2019 (COVID-19) in-hospital outcomes, that is multi-system complications, length of stay and mortality. Methods Copeptin and MR-proADM were assessed at admission in 116 patients hospitalized with COVID-19. Data were retrospectively extracted from an online database. The primary endpoint was in-hospital mortality. The secondary endpoints were in-hospital complications, the composite outcome 'death, or admission to intensive care unit, or in-hospital complications', and length of stay. The predictive power was expressed as area under the receiver operator characteristic curve (AUROC). Results Copeptin was increased in non-survivors (median 29.7 [interquartile range 13.0-106.2] pmol/L) compared to survivors (10.9 [5.9-25.3] pmol/L, p < 0.01). The AUROC for mortality was 0.71, with a hazard ratio of 3.67 (p < 0.01) for copeptin values > 25.3 pmol/L. MR-proADM differentiated survivors (0.8 [0.6-1.1] nmol/L) from non-survivors (1.5 [1.1-2.8] nmol/L, p < 0.001) and yielded a AUROC of 0.79 and a hazard ratio of 7.02 (p < 0.001) for MR-proADM values > 1.0 nmol/L. Copeptin and MR-proADM predicted sepsis (AUROC 0.95 and 0.96 respectively), acute kidney injury (0.87 and 0.90), the composite outcome (0.69 and 0.75) and length of stay (r = 0.42, p < 0.001, and r = 0.46, p < 0.001). Conclusions Admission MR-proADM and copeptin may be implemented for early risk stratification in COVID-19-hospitalized patients to help identify those eligible for closer monitoring and care intensification.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
COVID-19; biomarkers; copeptin; mid-regional proadrenomedullin; mortality; prognosis
Elenco autori:
Indirli, R.; Bandera, A.; Valenti, L.; Ceriotti, F.; Di Modugno, A.; Tettamanti, M.; Gualtierotti, R.; Peyvandi, F.; Montano, N.; Blasi, F.; Costantino, G.; Resi, V.; Orsi, E.; Arosio, M.; Mantovani, G.; Ferrante, E.; Bosari, S.; Scudeller, L.; Fusetti, G.; Rusconi, L.; Dell’Orto, S.; Prati, D.; Valenti, L.; Giovannelli, S.; Gori, A.; Bandera, A.; Muscatello, A.; Mangioni, D.; Alagna, L.; Bozzi, G.; Lombardi, A.; Ungaro, R.; Itri, T.; Ferroni, V.; Pastore, V.; Massafra, R.; Rondolini, I.; Peyvandi, F.; Ferrari, B.; Rossio, R.; Corona, E.; Rampi, N.; Massimo, C.; Montano, N.; Vigone, B.; Bellocchi, C.; Coti, G.; Sternativo, M.; Blasi, F.; Mantero, M.; Spotti, M.; Simonetta, E.; Terranova, L.; Amati, F.; Miele, C.; Vigni, A.; Costantino, G.; Solbiati, M.; Furlan, L.; Mancarella, M.; Colombo, G.; Colombo, G.; Monzani, V.; Rovellini, A.; Billi, F.; Folli, C.; Baldini, M.; Motta, I.; Fracanzani, A.; Lombardi, R.; Cesari, M.; Proietti, M.; Nobili, A.; Tettamanti, M.; the COVID-19 Network Working, Group
Autori di Ateneo:
Amati Francesco
Link alla scheda completa:
https://iris.hunimed.eu/handle/11699/71582
Pubblicato in:
THE EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
Journal
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