Quarantine At Home May Not Enough!-From the Epidemiological Data In Shaanxi Province of China (preprint)

Objectives : A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China.  Results: 1. Among the 245 patients, 132 (53.9%) were males and 113 (46.1%) were females. The average age was 46.15±16.43 years, ranging from 3 to 89 years. 2.  For the clinical type, 1.63% (4/245) patients were mild type , 84.90% (208/245) were moderate type, 7.76% (19/245) were severe type, 5.31% (13/245) were critical type and only 0.41% (1/245) was asymptomatic. 3. Of the 245 patients, 116 (47.35%) were input case, 114 (46.53%) were non-input case , and 15 (6.12%) were unknown exposure. 4. 48.57% (119/245) cases were family cluster , involving 42 families. The most common pattern of COVID-19 family cluster was between husband and wife or between parents and children. 

Dynamic change in lymphocyte count in the early stage is a potential predictor of the severity of COVID-19 (preprint)

Background Lymphopenia is associated with COVID-19 severity. Herein we describe the dynamic changes in lymphocyte count during hospitalization and explore a possible association with the severity of COVID-19.Methods In this retrospective study, 13 non-severe COVID-19 patients diagnosed at admission were enrolled. One patient progressed to severe disease. Dynamic changes in lymphocyte count and CT score of all patients were analyzed.Results Lymphocyte count changed significantly in the non-severe patients over time (admission vs day 5, P=0.685; day 5 vs day 15, P<0.001). Lymphocyte count of the severe patient fluctuated, and even decreased within the first 12 days post-admission, before increasing gradually. Chest CT scores of nine (75%) non-severe patients on the 5th day of hospitalization were higher than at admission, but decreased gradually thereafter (admission vs day 5, P<0.001, day 5 vs day 15, P=0.004). In the severe patient, CT score continued to increase for 2 weeks after admission, before decreasing gradually.Conclusions Non-severe COVID-19 patients had significantly increased lymphocyte count and decreased CT score 1 week after illness onset. Dynamic change in lymphocyte count in the early stages of COVID-19 may be helpful to identify the patients who are more likely to develop severe or critical illness.