Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China
Background: Coronavirus disease (COVID-19) has swept around the globe and led to a worldwide catastrophe. Studies examining the disease progression of patients with non-severe disease on admission are scarce but of profound importance in the early identification of patients at a high risk of deterio...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-11-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2020.556818/full |
| _version_ | 1818550918844514304 |
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| author | Yanpei Zhang Yanpei Zhang Lu-shan Xiao Pu Li Hongbo Zhu Hongbo Zhu Chenyi Hu Wen-Feng Zhang Qing-can Sun Meng-ying Shen Shan-shan Liu Wan-li Zhang Han-yi Zeng Mengchun Gong Li Liu Li Liu Yu-Lin He Hong Zhu |
| author_facet | Yanpei Zhang Yanpei Zhang Lu-shan Xiao Pu Li Hongbo Zhu Hongbo Zhu Chenyi Hu Wen-Feng Zhang Qing-can Sun Meng-ying Shen Shan-shan Liu Wan-li Zhang Han-yi Zeng Mengchun Gong Li Liu Li Liu Yu-Lin He Hong Zhu |
| author_sort | Yanpei Zhang |
| collection | DOAJ |
| description | Background: Coronavirus disease (COVID-19) has swept around the globe and led to a worldwide catastrophe. Studies examining the disease progression of patients with non-severe disease on admission are scarce but of profound importance in the early identification of patients at a high risk of deterioration.Objectives: To elucidate the differences in clinical characteristics between patients with progressive and non-progressive COVID-19 and to determine the risk factors for disease progression.Study design: Clinical data of 365 patients with non-severe COVID-19 from 1 January 2020 to 18 March 2020 were retrospectively collected. Patients were stratified into progressive and non-progressive disease groups. Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for disease progression.Results: Compared with patients with non-progressive disease, those who progressed to severe COVID-19 were older and had significantly decreased lymphocyte and eosinophil counts; increased neutrophil and platelet counts; lower albumin levels; higher levels of lactate dehydrogenase, C-reactive protein (CRP), creatinine, creatinine kinase, and urea nitrogen; and longer prothrombin times. Hypertension, fever, fatigue, anorexia, bacterial coinfection, bilateral patchy shadowing, antibiotic and corticosteroid administration, and oxygen support had a significantly higher incidence among patients with progressive disease. A significantly longer duration of hospital stay was also observed in patients with progressive disease. Bilateral patchy shadowing (OR = 4.82, 95% CI: 1.33–17.50; P = 0.017) and elevated levels of creatinine (OR =6.24, 95% CI: 1.42–27.40; P = 0.015), and CRP (OR = 7.28, 95% CI: 2.56–20.74; P < 0.001) were independent predictors for disease progression.Conclusion: The clinical characteristics of patients with progressive and non-progressive COVID-19 were significantly different. Bilateral patchy shadowing and increased levels of creatinine, and CRP were independent predictors of disease progression. |
| first_indexed | 2024-12-12T08:52:56Z |
| format | Article |
| id | doaj.art-9e7712be67cf4ee1adedb00f53f04e6c |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-12T08:52:56Z |
| publishDate | 2020-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-9e7712be67cf4ee1adedb00f53f04e6c2022-12-22T00:30:09ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2020-11-01710.3389/fmed.2020.556818556818Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, ChinaYanpei Zhang0Yanpei Zhang1Lu-shan Xiao2Pu Li3Hongbo Zhu4Hongbo Zhu5Chenyi Hu6Wen-Feng Zhang7Qing-can Sun8Meng-ying Shen9Shan-shan Liu10Wan-li Zhang11Han-yi Zeng12Mengchun Gong13Li Liu14Li Liu15Yu-Lin He16Hong Zhu17Department of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaState Drug Clinical Trial Agency, The First Affiliated Hospital, Nanchang University, Nanchang, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Oncology, The First Affiliated Hospital of University of South China, Hengyang, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, The First Affiliated Hospital, Nanchang University, Nanchang, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDigital China Health Technologies Corporation Limited, Beijing, ChinaDepartment of Medical Quality Management, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, ChinaHealth Management Institute, Nanfang Hospital, Southern Medical University, Guangzhou, ChinaBackground: Coronavirus disease (COVID-19) has swept around the globe and led to a worldwide catastrophe. Studies examining the disease progression of patients with non-severe disease on admission are scarce but of profound importance in the early identification of patients at a high risk of deterioration.Objectives: To elucidate the differences in clinical characteristics between patients with progressive and non-progressive COVID-19 and to determine the risk factors for disease progression.Study design: Clinical data of 365 patients with non-severe COVID-19 from 1 January 2020 to 18 March 2020 were retrospectively collected. Patients were stratified into progressive and non-progressive disease groups. Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for disease progression.Results: Compared with patients with non-progressive disease, those who progressed to severe COVID-19 were older and had significantly decreased lymphocyte and eosinophil counts; increased neutrophil and platelet counts; lower albumin levels; higher levels of lactate dehydrogenase, C-reactive protein (CRP), creatinine, creatinine kinase, and urea nitrogen; and longer prothrombin times. Hypertension, fever, fatigue, anorexia, bacterial coinfection, bilateral patchy shadowing, antibiotic and corticosteroid administration, and oxygen support had a significantly higher incidence among patients with progressive disease. A significantly longer duration of hospital stay was also observed in patients with progressive disease. Bilateral patchy shadowing (OR = 4.82, 95% CI: 1.33–17.50; P = 0.017) and elevated levels of creatinine (OR =6.24, 95% CI: 1.42–27.40; P = 0.015), and CRP (OR = 7.28, 95% CI: 2.56–20.74; P < 0.001) were independent predictors for disease progression.Conclusion: The clinical characteristics of patients with progressive and non-progressive COVID-19 were significantly different. Bilateral patchy shadowing and increased levels of creatinine, and CRP were independent predictors of disease progression.https://www.frontiersin.org/articles/10.3389/fmed.2020.556818/fullcoronavirus disease 2019disease progressionsevere acute respiratory syndrome coronavirus 2bilateral patchy shadowingcreatinine kinasecreatinine |
| spellingShingle | Yanpei Zhang Yanpei Zhang Lu-shan Xiao Pu Li Hongbo Zhu Hongbo Zhu Chenyi Hu Wen-Feng Zhang Qing-can Sun Meng-ying Shen Shan-shan Liu Wan-li Zhang Han-yi Zeng Mengchun Gong Li Liu Li Liu Yu-Lin He Hong Zhu Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China Frontiers in Medicine coronavirus disease 2019 disease progression severe acute respiratory syndrome coronavirus 2 bilateral patchy shadowing creatinine kinase creatinine |
| title | Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China |
| title_full | Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China |
| title_fullStr | Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China |
| title_full_unstemmed | Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China |
| title_short | Clinical Characteristics of Patients With Progressive and Non-progressive Coronavirus Disease 2019: Evidence From 365 Hospitalised Patients in Honghu and Nanchang, China |
| title_sort | clinical characteristics of patients with progressive and non progressive coronavirus disease 2019 evidence from 365 hospitalised patients in honghu and nanchang china |
| topic | coronavirus disease 2019 disease progression severe acute respiratory syndrome coronavirus 2 bilateral patchy shadowing creatinine kinase creatinine |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2020.556818/full |
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