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

Qibin Liu; Xuemin Fang; Shinichi Tokuno; Ungil Chung; Xianxiang Chen; Xiyong Dai; Xiaoyu Liu; Feng Xu; Bing Wang; Peng Peng

Among the 30 death cases, 17 were male and 13 were female. The average age was 69·0 years (SD 7·87). 23 (76·7%) of them had underlying diseases (the most common underlying disease is also Hypertension, 64·7% for male and 38·5% for female). The average duration of the hospitalization was 15·1 days (SD 8·78), and it took 11·7 days (SD 8·20) on average for them to reach our hospital since their first symptoms ( Table 2 ). The death event occurred more quickly among elderly patients ( We also performed a multivariate logistic regression model using age, underlying disease status, and the baseline T lymphocyte subsets test as the predictors to predict the patient outcome (death or hospital discharge). The significant predictors are age (OR 1·05, p 0·04), underlying disease status (OR 3·42, p 0·02), Helper T cells on the log scale (OR 0·22, p 0·00), and TH/TS on the log scale (OR 4·80, p 0·00). The McFadden pseudo R-squared 16 for the logistic regression model is 0·35, suggesting the . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.