Selected article for: "decision support and diagnostic panel"
Author: Michael P McRae; Glennon W Simmons; Nicolaos J Christodoulides; Zhibing Lu; Stella K Kang; David Fenyo; Timothy Alcorn; Isaac P Dapkins; Iman Sharif; Deniz Vurmaz; Sayli S Modak; Kritika Srinivasan; Shruti Warhadpande; Ravi Shrivastav; John T McDevitt
Title: Clinical Decision Support Tool and Rapid Point-of-Care Platform for Determining Disease Severity in Patients with COVID-19
  • Document date: 2020_4_22
    • ID: h4lsvgxo_56
    Snippet: This study establishes the framework for a point-of-care COVID-19 Severity Score and clinical decision support system. Our studies find that the median COVID-19 Severity Score was significantly lower for the group that recovered versus the group that died from COVID-19 complications (60.5 versus 96.6, respectively). The AUC value for the COVID-19 Severity Score was 0.94, demonstrating strong potential for its utility in identifying patients with .....
    Document: This study establishes the framework for a point-of-care COVID-19 Severity Score and clinical decision support system. Our studies find that the median COVID-19 Severity Score was significantly lower for the group that recovered versus the group that died from COVID-19 complications (60.5 versus 96.6, respectively). The AUC value for the COVID-19 Severity Score was 0.94, demonstrating strong potential for its utility in identifying patients with increased risk of mortality. Plans are now in place to confirm the final selection of biomarkers for an integrated point-of-care COVID-19 Severity Score disease severity test. It is possible that some of the biomarkers may yield redundant information; as such, these redundant biomarkers may be eliminated to create a sparser diagnostic panel with improved generalizability.

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