Globally, COVID-19 mortality biomarkers have varied efficacy Coronavirus Disease COVID Mortality Biomarker Coronavirus Ddimer medrxivpreprint Cambridge_Uni TheCIMR sheffielduni ufrgsnoticias
By Nidhi Saha, BDSDec 13 2022Reviewed by Benedette Cuffari, M.Sc. A new meta-analysis posted to the medRxiv* preprint server reports that some of the biomarkers used to predict mortality due to the coronavirus disease 2019 show variable efficacies in different parts of the world; therefore, these prognostic markers and scores cannot be generalized across regions.
When healthcare systems are overburdened, and resources are limited, the early prediction of disease outcomes is essential to identify high-risk patients. Furthermore, such predictive biomarkers can allow clinicians to customize treatment plans and delivery of care. The PubMed database was searched for several keywords, including ‘SARS-CoV-2,’ ‘biomarker name,' and 'mortality.' In addition, a survey of all studies published between January 1, 2019, and June 30, 2021, was conducted.
Study findings Biomarker effectiveness for mortality prediction with SARS-CoV-2 infection was found to vary significantly by geographical location. C-reactive protein levels at admission provided a reliable mortality prediction in Asian countries, with a pooled AUC of 0.83 from 34 studies and 0.67 from 21 studies. Comparatively, this parameter was only an average predictor of mortality in Europe and North America.
Troponin levels at admission were 0.81 in Asian countries and 0.79 in European and North American countries. Similarly, urea levels on admission had a pooled AUC of 0.79 in Asian countries and 0.78 in European and North American countries.
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