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Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study
BACKGROUND: Since December 2019, an outbreak of Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) initially emerged in Wuhan, China, and has spread worldwide now. Clinical features of patients with COVID-19 have been described. However, ri...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393341/ https://www.ncbi.nlm.nih.gov/pubmed/32737627 http://dx.doi.org/10.1186/s13613-020-00706-3 |
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author | Liu, Jiao Zhang, Sheng Wu, Zhixiong Shang, You Dong, Xuan Li, Guang Zhang, Lidi Chen, Yizhu Ye, Xiaofei Du, Hangxiang Liu, Yongan Wang, Tao Huang, SiSi Chen, Limin Wen, Zhenliang Qu, Jieming Chen, Dechang |
author_facet | Liu, Jiao Zhang, Sheng Wu, Zhixiong Shang, You Dong, Xuan Li, Guang Zhang, Lidi Chen, Yizhu Ye, Xiaofei Du, Hangxiang Liu, Yongan Wang, Tao Huang, SiSi Chen, Limin Wen, Zhenliang Qu, Jieming Chen, Dechang |
author_sort | Liu, Jiao |
collection | PubMed |
description | BACKGROUND: Since December 2019, an outbreak of Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) initially emerged in Wuhan, China, and has spread worldwide now. Clinical features of patients with COVID-19 have been described. However, risk factors leading to in-hospital deterioration and poor prognosis in COVID-19 patients with severe disease have not been well identified. METHODS: In this retrospective, single-center cohort study, 1190 adult inpatients (≥ 18 years old) with laboratory-confirmed COVID-19 and determined outcomes (discharged or died) were included from Wuhan Infectious Disease Hospital from December 29, 2019 to February 28, 2020. The final follow-up date was March 2, 2020. Clinical data including characteristics, laboratory and imaging information as well as treatments were extracted from electronic medical records and compared. A multivariable logistic regression model was used to explore the potential predictors associated with in-hospital deterioration and death. RESULTS: 1190 patients with confirmed COVID-19 were included. Their median age was 57 years (interquartile range 47–67 years). Two hundred and sixty-one patients (22%) developed a severe illness after admission. Multivariable logistic regression demonstrated that higher SOFA score (OR 1.32, 95% CI 1.22–1.43, per score increase, p < 0.001 for deterioration and OR 1.30, 95% CI 1.11–1.53, per score increase, p = 0.001 for death), lymphocytopenia (OR 1.81, 95% CI 1.13–2.89 p = 0.013 for deterioration; OR 4.44, 95% CI 1.26–15.87, p = 0.021 for death) on admission were independent risk factors for in-hospital deterioration from not severe to severe disease and for death in severe patients. On admission D-dimer greater than 1 μg/L (OR 3.28, 95% CI 1.19–9.04, p = 0.021), leukocytopenia (OR 5.10, 95% CI 1.25–20.78), thrombocytopenia (OR 8.37, 95% CI 2.04–34.44) and history of diabetes (OR 11.16, 95% CI 1.87–66.57, p = 0.008) were also associated with higher risks of in-hospital death in severe COVID-19 patients. Shorter time interval from illness onset to non-invasive mechanical ventilation in the survivors with severe disease was observed compared with non-survivors (10.5 days, IQR 9.25–11.0 vs. 16.0 days, IQR 11.0–19.0 days, p = 0.030). Treatment with glucocorticoids increased the risk of progression from not severe to severe disease (OR 3.79, 95% CI 2.39–6.01, p < 0.001). Administration of antiviral drugs especially oseltamivir or ganciclovir is associated with a decreased risk of death in severe patients (OR 0.17, 95% CI 0.05–0.64, p < 0.001). CONCLUSIONS: High SOFA score and lymphocytopenia on admission could predict that not severe patients would develop severe disease in-hospital. On admission elevated D-dimer, leukocytopenia, thrombocytopenia and diabetes were independent risk factors of in-hospital death in severe patients with COVID-19. Administration of oseltamivir or ganciclovir might be beneficial for reducing mortality in severe patients. |
format | Online Article Text |
id | pubmed-7393341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-73933412020-07-31 Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study Liu, Jiao Zhang, Sheng Wu, Zhixiong Shang, You Dong, Xuan Li, Guang Zhang, Lidi Chen, Yizhu Ye, Xiaofei Du, Hangxiang Liu, Yongan Wang, Tao Huang, SiSi Chen, Limin Wen, Zhenliang Qu, Jieming Chen, Dechang Ann Intensive Care Research BACKGROUND: Since December 2019, an outbreak of Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) initially emerged in Wuhan, China, and has spread worldwide now. Clinical features of patients with COVID-19 have been described. However, risk factors leading to in-hospital deterioration and poor prognosis in COVID-19 patients with severe disease have not been well identified. METHODS: In this retrospective, single-center cohort study, 1190 adult inpatients (≥ 18 years old) with laboratory-confirmed COVID-19 and determined outcomes (discharged or died) were included from Wuhan Infectious Disease Hospital from December 29, 2019 to February 28, 2020. The final follow-up date was March 2, 2020. Clinical data including characteristics, laboratory and imaging information as well as treatments were extracted from electronic medical records and compared. A multivariable logistic regression model was used to explore the potential predictors associated with in-hospital deterioration and death. RESULTS: 1190 patients with confirmed COVID-19 were included. Their median age was 57 years (interquartile range 47–67 years). Two hundred and sixty-one patients (22%) developed a severe illness after admission. Multivariable logistic regression demonstrated that higher SOFA score (OR 1.32, 95% CI 1.22–1.43, per score increase, p < 0.001 for deterioration and OR 1.30, 95% CI 1.11–1.53, per score increase, p = 0.001 for death), lymphocytopenia (OR 1.81, 95% CI 1.13–2.89 p = 0.013 for deterioration; OR 4.44, 95% CI 1.26–15.87, p = 0.021 for death) on admission were independent risk factors for in-hospital deterioration from not severe to severe disease and for death in severe patients. On admission D-dimer greater than 1 μg/L (OR 3.28, 95% CI 1.19–9.04, p = 0.021), leukocytopenia (OR 5.10, 95% CI 1.25–20.78), thrombocytopenia (OR 8.37, 95% CI 2.04–34.44) and history of diabetes (OR 11.16, 95% CI 1.87–66.57, p = 0.008) were also associated with higher risks of in-hospital death in severe COVID-19 patients. Shorter time interval from illness onset to non-invasive mechanical ventilation in the survivors with severe disease was observed compared with non-survivors (10.5 days, IQR 9.25–11.0 vs. 16.0 days, IQR 11.0–19.0 days, p = 0.030). Treatment with glucocorticoids increased the risk of progression from not severe to severe disease (OR 3.79, 95% CI 2.39–6.01, p < 0.001). Administration of antiviral drugs especially oseltamivir or ganciclovir is associated with a decreased risk of death in severe patients (OR 0.17, 95% CI 0.05–0.64, p < 0.001). CONCLUSIONS: High SOFA score and lymphocytopenia on admission could predict that not severe patients would develop severe disease in-hospital. On admission elevated D-dimer, leukocytopenia, thrombocytopenia and diabetes were independent risk factors of in-hospital death in severe patients with COVID-19. Administration of oseltamivir or ganciclovir might be beneficial for reducing mortality in severe patients. Springer International Publishing 2020-07-31 /pmc/articles/PMC7393341/ /pubmed/32737627 http://dx.doi.org/10.1186/s13613-020-00706-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Liu, Jiao Zhang, Sheng Wu, Zhixiong Shang, You Dong, Xuan Li, Guang Zhang, Lidi Chen, Yizhu Ye, Xiaofei Du, Hangxiang Liu, Yongan Wang, Tao Huang, SiSi Chen, Limin Wen, Zhenliang Qu, Jieming Chen, Dechang Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study |
title | Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study |
title_full | Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study |
title_fullStr | Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study |
title_full_unstemmed | Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study |
title_short | Clinical outcomes of COVID-19 in Wuhan, China: a large cohort study |
title_sort | clinical outcomes of covid-19 in wuhan, china: a large cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393341/ https://www.ncbi.nlm.nih.gov/pubmed/32737627 http://dx.doi.org/10.1186/s13613-020-00706-3 |
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