Author: Chen, Jiangnan; Pan, Yong; Li, Gangfeng; Xu, Wenfang; Zhang, Lihong; Yuan, Shijin; Xia, Yan; Lu, Pei; Zhang, Jun
Title: Distinguishing between COVIDâ€19 and influenza during the early stages by measurement of peripheral blood parameters Cord-id: dl3u07a4 Document date: 2020_8_13
ID: dl3u07a4
Snippet: Coronavirus disease 2019 (COVIDâ€19) is caused by severe acute respiratory syndrome coronavirus 2 infection. This study aims to examine the changes in peripheral blood parameters during the early stages of COVIDâ€19 and influenza. We analyzed the peripheral blood parameters of 169 COVIDâ€19 patients and 131 influenza patients during the earlyâ€onset stage. Results from the patients with COVIDâ€19 were compared with those from healthy controls and influenza patients. In addition, results fro
Document: Coronavirus disease 2019 (COVIDâ€19) is caused by severe acute respiratory syndrome coronavirus 2 infection. This study aims to examine the changes in peripheral blood parameters during the early stages of COVIDâ€19 and influenza. We analyzed the peripheral blood parameters of 169 COVIDâ€19 patients and 131 influenza patients during the earlyâ€onset stage. Results from the patients with COVIDâ€19 were compared with those from healthy controls and influenza patients. In addition, results from patients with common and severe COVIDâ€19 were further compared. There were significant differences between COVIDâ€19 and influenza patients in terms of age, white blood cell count, platelet count, percentage of neutrophils, percentage of lymphocytes, percentage of monocytes, percentage of eosinophils, percentage of basophils, neutrophil, count and monocyte count. Two parameters (monocyte count and percentage of basophils) were combined to clarify the diagnostic efficacy of COVIDâ€19 and influenza and the area under the curve was found to be 0.772. Comparison of peripheral blood parameters from common COVIDâ€19, severe COVIDâ€19, and influenza patients revealed many differences during the early disease stages. The diagnostic formula developed by this study will be of benefit for physicians in the differentiation of COVIDâ€19 and influenza.
Search related documents:
Co phrase search for related documents- abnormal rate and liver injury: 1, 2
- abnormal rate and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9
- abnormal rate and logistic regression analysis: 1, 2
- abnormal rate and lymphocyte count: 1, 2
- liver disease 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, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67
- liver disease and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20
- liver disease and low albumin: 1, 2, 3, 4, 5, 6, 7, 8
- liver disease and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8
- liver disease and lymphocyte percentage: 1
- liver disease history and logistic regression: 1, 2, 3, 4
- liver disease history and logistic regression analysis: 1
- liver disease history and lymphocyte count: 1
- liver injury 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
- liver injury and logistic regression analysis: 1, 2, 3, 4, 5, 6, 7, 8, 9
- liver injury and low albumin: 1, 2, 3, 4, 5
- liver injury and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- liver injury and lymphocyte percentage: 1
- liver injury common and logistic regression: 1, 2, 3
- liver injury common and lymphocyte count: 1, 2, 3
Co phrase search for related documents, hyperlinks ordered by date