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Exploration of severe Covid-19 associated risk factor in China: Meta-analysis of current evidence.
Zhang, Yun-Jing; Sun, Xi-Feng; Xie, Bing; Feng, Wen-Juan; Han, Shi-Liang.
  • Zhang YJ; Department of Nephrology, Zibo Central Hospital, Zibo, China.
  • Sun XF; Department of Nephrology, Zibo Central Hospital, Zibo, China.
  • Xie B; Department of Orthopaedics, Zibo Central Hospital, Zibo, China.
  • Feng WJ; Department of Reproductive Medicine, Jinan Central Hospital Affiliated to Shandong University, Jinan, China.
  • Han SL; Department of Orthopaedics, Zibo Central Hospital, Zibo, China.
Int J Clin Pract ; : e14900, 2021 Sep 21.
Article in English | MEDLINE | ID: covidwho-1429761
ABSTRACT

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.

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Type of study: Etiology study / Evidence synthesis / Risk factors Language: English Journal: Int J Clin Pract Clinical aspect: Etiology Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Type of study: Etiology study / Evidence synthesis / Risk factors Language: English Journal: Int J Clin Pract Clinical aspect: Etiology Year: 2021
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