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Biomark Med ; 16(3): 169-177, 2022 02.
Article in English | MEDLINE | ID: mdl-35081737

ABSTRACT

Aim: To investigate association between soluble urokinase plasminogen activator receptor (suPAR) plasma levels at admission and incidence of complications in COVID-19 patients. Patients & methods: We considered Afro-Caribbean patients (n = 64) admitted to the hospital between 1 February 2020 and 28 February 2021. Primary outcome was time from the hospital admission until intensive care unit care or death. Results: Primary outcome (hazard ratio, HR [95%CI]) was associated with higher CT scan severity score (3.18 [1.15-8.78], p = 0.025), National Early Warning Score (NEWS2; 1.43 [1.02-2.02], p = 0.041) and suPAR (1.28 [1.06-2.06], p = 0.041). Kaplan-Meier analysis indicated patients with suPAR level above 8.95 ng/ml had a worse outcome (7.95 [3.33-18.97], p < 0.001). Conclusion: Our study suggests that COVID-19 patients with increased baseline suPAR levels are at a high risk of complications.


Plain language summary Our aim was to investigate association between the plasma levels of soluble urokinase plasminogen activator receptor (suPAR) at admission and incidence of complications in COVID-19 patients. Increased suPAR level has been previously associated with activation of inflammation and coagulation, which important features of COVID-19. We considered Afro-Caribbean patients admitted to the hospital between 1 February 2020 and 28 February 2021. Primary outcome was time from the hospital admission until intensive care unit care or death. The use of an integrative prediction tool which combines simple clinical score (NEWS2), imaging technique (chest CT severity score) and suPAR plasma levels has potent predictive value for COVID-19 outcome.


Subject(s)
Black People , COVID-19 , Receptors, Urokinase Plasminogen Activator/blood , SARS-CoV-2/metabolism , Aged , Aged, 80 and over , COVID-19/blood , COVID-19/ethnology , COVID-19/mortality , Disease-Free Survival , Female , Humans , Male , Martinique/epidemiology , Middle Aged , Patient Acuity , Survival Rate
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