PMC:7200337 / 68349-68855 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7200337","sourcedb":"PMC","sourceid":"7200337","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7200337","text":"Liu et al. developed a web-based tool using k-means clustering to predict prognosis in terms of death or hospital discharge of COVID-19 patients using age, comorbidities (binary), and baseline log helper T cell count (TH), log suppressor T cell count (TS), and log TH/TS ratio (Liu et al., 2020e). Total T cell, helper T cell, and suppressor T cell counts were significantly lower and the TH/TS ratio was significantly higher in patients who died from infection as compared to patients who were 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