Author: GarcÃa de Guadianaâ€Romualdo, Luis; Calvo Nieves, MarÃa Dolores; RodrÃguez Mulero, MarÃa Dolores; Calcerrada Alises, Ismael; Hernández Olivo, Marta; Trapiello Fernández, Wysali; González Morales, Mercedes; Bolado Jiménez, Cristina; Albaladejoâ€Otón, MarÃa Dolores; Fernández Ovalle, Hilda; Conesa Hernández, Andrés; Azpeleta Manrique, Eugenio; Consuegraâ€Sánchez, Luciano; Nogales MartÃn, Leonor; Conesa Zamora, Pablo; Andaluzâ€Ojeda, David
Title: MRâ€proADM as marker of endotheliitis predicts COVIDâ€19 severity Cord-id: s7clhj1o Document date: 2021_2_20
ID: s7clhj1o
Snippet: BACKGROUND: Early identification of patients at high risk of progression to severe COVIDâ€19 constituted an unsolved challenge. Although growing evidence demonstrates a direct association between endotheliitis and severe COVIDâ€19, the role of endothelial damage biomarkers has been scarcely studied. We investigated the relationship between circulating midâ€regional proadrenomedullin (MRâ€proADM) levels, a biomarker of endothelial dysfunction, and prognosis of SARSâ€CoVâ€2â€infected patien
Document: BACKGROUND: Early identification of patients at high risk of progression to severe COVIDâ€19 constituted an unsolved challenge. Although growing evidence demonstrates a direct association between endotheliitis and severe COVIDâ€19, the role of endothelial damage biomarkers has been scarcely studied. We investigated the relationship between circulating midâ€regional proadrenomedullin (MRâ€proADM) levels, a biomarker of endothelial dysfunction, and prognosis of SARSâ€CoVâ€2â€infected patients. METHODS: Prospective observational study enrolling adult patients with confirmed COVIDâ€19. On admission to emergency department, a blood sample was drawn for laboratory test analysis. Primary and secondary endpoints were 28â€day allâ€cause mortality and severe COVIDâ€19 progression. Area under the curve (AUC) and multivariate regression analysis were employed to assess the association of the biomarker with the established endpoints. RESULTS: A total of 99 patients were enrolled. During hospitalization, 25 (25.3%) cases progressed to severe disease and the 28â€day mortality rate was of 14.1%. MRâ€proADM showed the highest AUC to predict 28â€day mortality (0.905; [CI] 95%: 0.829â€0.955; P < .001) and progression to severe disease (0.829; [CI] 95%: 0.740â€0.897; P < .001), respectively. MRâ€proADM plasma levels above optimal cutâ€off (1.01 nmol/L) showed the strongest independent association with 28â€day mortality risk (hazard ratio [HR]: 10.470, 95% CI: 2.066â€53.049; P < .005) and with progression to severe disease (HR: 6.803, 95% CI: 1.458â€31.750; P = .015). CONCLUSION: Midâ€regional proadrenomedullin was the biomarker with highest performance for prognosis of death and progression to severe disease in COVIDâ€19 patients and represents a promising predictor for both outcomes, which might constitute a potential tool in the assessment of prognosis in early stages of this disease.
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