Author: Qibin Liu; Xuemin Fang; Shinichi Tokuno; Ungil Chung; Xianxiang Chen; Xiyong Dai; Xiaoyu Liu; Feng Xu; Bing Wang; Peng Peng
Title: Prediction of the clinical outcome of COVID-19 patients using T lymphocyte subsets with 340 cases from Wuhan, China: a retrospective cohort study and a web visualization tool Document date: 2020_4_11
ID: 125o0o7x_24
Snippet: The level and the speed of T cell recovery are important factors of assessing disease prognoses and guiding early intervention in critically ill patients. In this study we have identified that older age, underlying diseases, and low T cell counts may be risk factors for poor clinical outcomes in COVID-10 positive patients. We have also implemented an interactive web tool to visualize a new patient's risk using these risk factors. When a new patie.....
Document: The level and the speed of T cell recovery are important factors of assessing disease prognoses and guiding early intervention in critically ill patients. In this study we have identified that older age, underlying diseases, and low T cell counts may be risk factors for poor clinical outcomes in COVID-10 positive patients. We have also implemented an interactive web tool to visualize a new patient's risk using these risk factors. When a new patient's data is entered through the web UI, it will be shown where he is as compared to the 310 patients included in this study.
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