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_8
Snippet: There have been a number of descriptive analyses about the epidemiological, clinical, laboratory, and radiological characteristics of the COVID-19 patients 10-14 . Little as yet known about how these characteristics can be used in guiding the practice of the healthcare providers 15 . As the world face the expanding COVID-19 pandemic, with the number of infected cases increase exponentially every day, any quick and easy method of understanding the.....
Document: There have been a number of descriptive analyses about the epidemiological, clinical, laboratory, and radiological characteristics of the COVID-19 patients 10-14 . Little as yet known about how these characteristics can be used in guiding the practice of the healthcare providers 15 . As the world face the expanding COVID-19 pandemic, with the number of infected cases increase exponentially every day, any quick and easy method of understanding the patient's condition can be valuable. With this in mind we seek to build a statistical model with only a few strong predictive characteristics. As several other research teams pointed out, the potential risk factors of older age, high SOFA score, and d-dimer greater than 1 µg/L could help clinicians to identify patients with poor prognosis at an early stage 12 .
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