Coagulation biomarkers and coronavirus disease 2019 phenotyping : a prospective cohort study

• Autor(a) principal: Córneo, Emiliy da Silva
• Data de Publicação: 2023
• Outros Autores: Mendes, Rafael Garbelotto, Prestes, Gabriele da Silveira, Girardi, Carolina Saibro, Silva, Lucas dos Santos da, Moreira, Jose Claudio Fonseca, Gelain, Daniel Pens, Westphal, Glauco Adrieno, Kupek, Emil, Walz, Roger, Ritter, Cristiane, Dal Pizzol, Felipe
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRGS
• Texto Completo: http://hdl.handle.net/10183/265133
• topic: COVID-19; Coronavirus; Fatores de coagulacao sanguinea; Biomarcadores; Coagulation; Coagulation factors; Cluster phenotyping; Prognostication

Background: Because severe acute respiratory syndrome coronarivus 2 (SARS-CoV-2) leads to severe conditions and thrombus formation, evaluation of the coagulation markers is important in determining the prognosis and phenotyping of patients with COVID-19. Methods: In a prospective study that included 213 COVID-19 patients admitted to the intensive care unit (ICU) the levels of antithrombin, C-reactive protein (CRP); factors XI, XII, XIII; prothrombin and D-dimer were measured. Spearman’s correlation coefficient was used to assess the pairwise correlations between the biomarkers. Hierarchical and non-hierarchical cluster analysis was performed using the levels of biomarkers to identify patients´ phenotypes. Multivariate binary regression was used to determine the association of the patient´s outcome with clinical variables and biomarker levels. Results The levels of factors XI and XIII were signifcantly higher in patients with less severe COVID-19, while factor XIII and antithrombin levels were signifcantly associated with mortality. These coagulation biomarkers were associated with the in-hospital survival of COVID-19 patients over and above the core clinical factors on admission. Hierarchical cluster analysis showed a cluster between factor XIII and antithrombin, and this hierarchical cluster was extended to CRP in the next step. Furthermore, a non-hierarchical K-means cluster analysis was performed, and two phenotypes were identifed based on the CRP and antithrombin levels independently of clinical variables and were associated with mortality. Conclusion: Coagulation biomarkers were associated with in-hospital survival of COVID-19 patients. Lower levels of factors XI, XII and XIII and prothrombin were associated with disease severity, while higher levels of both CRP and antithrombin clustered with worse prognosis. These results suggest the role of coagulation abnormalities in the developmen