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_54
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20068411 doi: medRxiv preprint in biomarker-based COVID-19 Severity Score over time. Preliminary findings ( Figure S3) demonstrate that the average trajectories decrease for the "discharged" group increase for the "died" group, suggesting that the COVID-19 Severity Score could provide valuable lead time in discharging patients with lo.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04. 16.20068411 doi: medRxiv preprint in biomarker-based COVID-19 Severity Score over time. Preliminary findings ( Figure S3) demonstrate that the average trajectories decrease for the "discharged" group increase for the "died" group, suggesting that the COVID-19 Severity Score could provide valuable lead time in discharging patients with low risk earlier while prioritizing care for those at elevated risk of mortality. Future efforts will be used to define various decision cuts points, reference ranges, and change scores to help guide clinical decision making including therapy decisions. Future efforts may also adapt this clinical decision support tool for ARDS resulting from other infectious viral agents such as influenza and varicella-zoster; bacteria such as Mycoplasma, Chlamydia, and Legionella; and parasites such as the malaria causing Plasmodium falciparum. 34
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