Author: zhang, huizheng; wang, xiaoying; fu, zongqiang; luo, ming; zhang, zhen; zhang, ke; he, ying; wan, dongyong; zhang, liwen; wang, jing; yan, xiaofeng; han, mei; chen, yaokai
Title: Potential Factors for Prediction of Disease Severity of COVID-19 Patients Cord-id: tv9xsned Document date: 2020_3_23
ID: tv9xsned
Snippet: Abstract: Objective: Coronavirus disease 2019 (COVID-19) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected patients are urgently needed. Methods: In this study, 43 COVID-19 patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral b
Document: Abstract: Objective: Coronavirus disease 2019 (COVID-19) is an escalating global epidemic caused by SARS-CoV-2, with a high mortality in critical patients. Effective indicators for predicting disease severity in SARS-CoV-2 infected patients are urgently needed. Methods: In this study, 43 COVID-19 patients admitted in Chongqing Public Health Medical Center were involved. Demographic data, clinical features, and laboratory examinations were obtained through electronic medical records. Peripheral blood specimens were collected from COVID-19 patients and examined for lymphocyte subsets and cytokine profiles by flow cytometry. Potential contributing factors for prediction of disease severity were further analyzed. Results: A total of 43 COVID-19 patients were included in this study, including 29 mild patients and 14 sever patients. Severe patients were significantly older (61.9+/-9.4 vs 44.4+/-15.9) and had higher incidence in co-infection with bacteria compared to mild group (85.7%vs27.6%). Significantly more severe patients had the clinical symptoms of anhelation (78.6%) and asthma (71.4%). For laboratory examination, 57.1% severe cases showed significant reduction in lymphocyte count. The levels of Interluekin-6 (IL6), IL10, erythrocyte sedimentation rate (ESR) and D-Dimer (D-D) were significantly higher in severe patients than mild patients, while the level of albumin (ALB) was remarkably lower in severe patients. Further analysis demonstrated that ESR, D-D, age, ALB and IL6 were the major contributing factors for distinguishing severe patients from mild patients. Moreover, ESR was identified as the most powerful factor to predict disease progression of COVID-19 patients. Conclusion: Age and the levels of ESR, D-D, ALB and IL6 are closely related to the disease severity of COVID-19 patients. ESR can be used as a valuable indicator for distinguishing severe COVID-19 patients in early stage, so as to increase the survival of severe patients. Keyword: COVID-19, erythrocyte sedimentation rate, cytokines, lymphocytes
Search related documents:
Co phrase search for related documents- absolute lasso selection shrinkage operator analysis and logistic regression analysis: 1, 2, 3
- absolute lasso selection shrinkage operator analysis and lymphocyte neutrophil: 1, 2
- absolute lasso selection shrinkage operator analysis and lymphocyte neutrophil ratio: 1, 2
- absolute lasso selection shrinkage operator analysis and lymphocyte ratio: 1, 2, 3
- absolute lasso selection shrinkage operator and acute sars cov respiratory syndrome coronavirus: 1, 2, 3
- absolute lasso selection shrinkage operator and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- absolute lasso selection shrinkage operator and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- absolute lasso selection shrinkage operator and lymphocyte neutrophil: 1, 2, 3, 4, 5, 6, 7
- absolute lasso selection shrinkage operator and lymphocyte neutrophil ratio: 1, 2, 3, 4, 5, 6
- absolute lasso selection shrinkage operator and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7
- absolute number and acute inflammatory: 1
- absolute number and acute phase: 1
- absolute number and acute sars cov respiratory syndrome coronavirus: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- absolute number and logistic regression: 1, 2, 3, 4, 5
- absolute number and logistic regression analysis: 1
- absolute number and lymphocyte decrease: 1, 2
- absolute number and lymphocyte neutrophil: 1, 2, 3, 4
- absolute number and lymphocyte neutrophil ratio: 1, 2
- absolute number and lymphocyte ratio: 1, 2
Co phrase search for related documents, hyperlinks ordered by date