Exploration of severe Covid-19 associated risk factor in China : Meta-analysis of current evidence
© 2021 John Wiley & Sons Ltd..
AIM: This meta-analysis aimed to explore potential risk factors for severe Covid-19.
METHODS: We systemically and comprehensively retrieved the eligible study evaluating clinical differences between severe vs non-severe Covid-19. Main effect sizes were demographic characteristics, comorbidities, signs and symptoms, laboratory findings as well as radiological features of chest CT.
RESULTS: A total of 2566 Covid-19 people (771 in the severe group and 1795 in the non-severe group) from 14 studies were eligible for this meta-analysis. It was demonstrated that older age and males were more likely to have severe Covid-19. Patients with underlying comorbidities, such as hypertension, diabetes, heart disease and COPD were significantly more susceptible to severe Covid-19. Patients with dyspnoea were more likely to be severely ill. Depressed total lymphocytes were observed in this article. Meanwhile, although reticulation (30.8%), intrathoracic lymph node enlargement (20.5%) and pleural effusions (30.8%) were relatively infrequent, meta-analysis revealed that patients with these presentations in chest CT were associated with increased risk of severe Covid-19.
CONCLUSIONS: There are significant differences in clinical characteristics between the severe and non-severe Covid-19 patients. Many factors are related to the severity of the disease, which can help clinicians to differentiate severe patients from non-severe patients.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:75 |
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| Enthalten in: |
International journal of clinical practice - 75(2021), 12 vom: 25. Dez., Seite e14900 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, Yun-Jing [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 31.12.2021 Date Revised 05.10.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1111/ijcp.14900 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM330884492 |
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| 245 | 1 | 0 | |a Exploration of severe Covid-19 associated risk factor in China |b Meta-analysis of current evidence |
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| 500 | |a Date Revised 05.10.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021 John Wiley & Sons Ltd. | ||
| 520 | |a AIM: This meta-analysis aimed to explore potential risk factors for severe Covid-19 | ||
| 520 | |a METHODS: We systemically and comprehensively retrieved the eligible study evaluating clinical differences between severe vs non-severe Covid-19. Main effect sizes were demographic characteristics, comorbidities, signs and symptoms, laboratory findings as well as radiological features of chest CT | ||
| 520 | |a RESULTS: A total of 2566 Covid-19 people (771 in the severe group and 1795 in the non-severe group) from 14 studies were eligible for this meta-analysis. It was demonstrated that older age and males were more likely to have severe Covid-19. Patients with underlying comorbidities, such as hypertension, diabetes, heart disease and COPD were significantly more susceptible to severe Covid-19. Patients with dyspnoea were more likely to be severely ill. Depressed total lymphocytes were observed in this article. Meanwhile, although reticulation (30.8%), intrathoracic lymph node enlargement (20.5%) and pleural effusions (30.8%) were relatively infrequent, meta-analysis revealed that patients with these presentations in chest CT were associated with increased risk of severe Covid-19 | ||
| 520 | |a CONCLUSIONS: There are significant differences in clinical characteristics between the severe and non-severe Covid-19 patients. Many factors are related to the severity of the disease, which can help clinicians to differentiate severe patients from non-severe patients | ||
| 650 | 4 | |a Meta-Analysis | |
| 700 | 1 | |a Sun, Xi-Feng |e verfasserin |4 aut | |
| 700 | 1 | |a Xie, Bing |e verfasserin |4 aut | |
| 700 | 1 | |a Feng, Wen-Juan |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Shi-Liang |e verfasserin |4 aut | |
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