Clinical characteristics of asymptomatic carriers of novel coronavirus disease 2019: A multi-center study in Jiangsu Province.

Asymptomatic SARS-CoV-2-infected individuals are thought to play major roles in virus transmission. This study aimed to analyze the characteristics of asymptomatic carriers with COVID-19 to control the spread of the virus. We retrospectively investigated the clinical characteristics of 648 consecutive subjects who were enrolled in the study and were divided into asymptomatic carriers, mild cases, ordinary cases, severe or critical cases, and evaluated their impact on disease severity by means of Spearman correlation and multiple regression analyses. Receiver operating characteristic curve analysis was conducted to determine the optimum cutoff levels of laboratory findings for diagnostic predictors of asymptomatic carriers of COVID-19. In our study, a total of 648 subjects on admission with a mean age of 45.61 y including 345 males and 303 females were enrolled in our study. The leukocyte, lymphocyte, eosinophil, platelet, C-reactive protein, interleukin-6, CD3+, CD4+, and CD8 + T lymphocyte levels, and the erythrocyte sedimentation rate differed significantly among the groups (all p ≤ 0.05). Disease severity was negatively associated with the CD3+ (r = -0.340; p < 0.001), CD4+ (r = -0.290; p = 0.001) and CD8+ (r = -0.322; p < 0.001) T lymphocyte levels. The significant diagnostic predictors of asymptomatic carriers of COVID-19 included the blood cell, cytokine, and T lymphocyte subset levels. Inflammation and immune response may play important roles in disease progression. Hence, the laboratory parameters identified should be considered in clinical practice, which provide new insights into the identification of asymptomatic individuals and the prevention of virus transmission.

Clinical Characteristics and Blood Test Results in COVID-19 Patients.

OBJECTIVE: An outbreak of pneumonia named COVID-19 caused by a novel coronavirus in Wuhan is rapidly spreading worldwide. The objective of the present study was to clarify further the clinical characteristics and blood parameters in COVID-19 patients. MATERIALS AND METHODS: Twenty-three suspected patients and 64 patients with laboratory-confirmed SARS-Cov-2 infection were admitted to a designated hospital. Epidemiological, clinical, laboratory, and treatment data were collected and analyzed. RESULTS: Of the 64 patients studied, 47 (73.4%) had been exposed to a confirmed source of COVID-19 transmission. On admission, the most common symptoms were fever (75%) and cough (76.6%). Twenty-eight (43.8%) COVID-19 patients showed leukopenia, 10 (15.6%) showed lymphopenia, 47 (73.4%) and 41 (64.1%) had elevated high-sensitivity C-reactive protein (hsCRP) and erythrocyte sedimentation rate (ESR), respectively, and 30 (46.9%) had increased fibrinogen concentration. After the treatment, the counts of white blood cells and platelets, and the level of prealbumin increased significantly, while aspartate aminotransferase (AST), lactate dehydrogenase (LDH), and hsCRP decreased. COVID-19 patients with the hospital stay longer than 12 days had higher body mass index (BMI) and increased levels of AST, LDH, fibrinogen, hsCRP, and ESR. CONCLUSIONS: Results of blood tests have potential clinical value in COVID-19 patients.

Clinical Characteristics and Predictors of Disease Progression in Severe Patients with COVID-19 Infection in Jiangsu Province, China: A Descriptive Study.

BACKGROUND: We studied patients with coronavirus disease 2019 (COVID-19) infected by severe acute respiratory syndrome coronavirus 2, a virus that originated in Wuhan, China, and is spreading over the country including Jiangsu Province. We studied the clinical characteristics and therapies of severe cases in Jiangsu Province. METHODS: A multicenter retrospective cohort study was conducted to analyze clinical, laboratory data and treatment of 60 severe cases with COVID-19 infection in Jiangsu Province between January 24, 2020 and April 20, 2020. The improvement and deterioration subgroups were compared to identify predictors of disease progression. RESULTS: A total of 653 infected cases with COVID-19 were reported in Jiangsu Province, of which 60 severe cases were included in this study. Up until April 20, 2020, the mortality of severe patients was 0%. The median age was 57 years. The average body mass index of these patients was 25 kg/m². White blood cell counts decreased in 45.0% of patients, lymphopenia in 63.3%, thrombocytopenia in 13.3% and procalcitonin levels in 88.3% of the patients were less than 0.5 ng/mL. There were no statistically significant differences in immunoglobulin therapy and GCs therapy between the improvement and deterioration subgroups. Logistic regression analysis identified higher levels of troponin T (odds ratio [OR]: 1.04; 95% confidence interval [CI]: 1.00-1.08; P = 0.04), antiviral therapy with aerosol inhalation of interferon (OR: 6.33; 95% CI: 1.18-33.98; P = 0.03), and the application of non-invasive mechanical ventilation (OR: 1.99; 95%CI: 1.17-3.41; P = 0.01) as predictors of disease progression, whereas higher lymphocyte count (OR: 0.11; 95% CI: 0.02-0.57; P = 0.01) and early prone ventilation were associated with improvement (OR: 0.11; 95% CI: 0.01-0.98; P = 0.04). CONCLUSIONS: COVID-19 infection had a low mortality rate in Jiangsu Province, China. The higher levels of troponin T and lower lymphocyte count were predictors of disease progression. Early prone ventilation may be an effective treatment for severe cases.