Risk factors of severe cases with COVID-19: a meta-analysis

Author:

Ou Mingchun,Zhu JieyunORCID,Ji Pan,Li Hongyuan,Zhong Zhimei,Li Bocheng,Pang Jielong,Zhang Jianfeng,Zheng Xiaowen

Abstract

Abstract Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-analysed 40 studies involving 5872 COVID-19 patients. The average age was higher in severe COVID-19 patients (weighted mean difference; WMD = 10.69, 95%CI 7.83–13.54). Patients with severe disease showed significantly lower platelet count (WMD = −18.63, 95%CI −30.86 to −6.40) and lymphocyte count (WMD = −0.35, 95%CI −0.41 to −0.30) but higher C-reactive protein (CRP; WMD = 42.7, 95%CI 31.12–54.28), lactate dehydrogenase (LDH; WMD = 137.4, 95%CI 105.5–169.3), white blood cell count(WBC), procalcitonin(PCT), D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and creatinine(Cr). Similarly, patients who died showed significantly higher WBC, D-dimer, ALT, AST and Cr but similar platelet count and LDH as patients who survived. These results indicate that older age, low platelet count, lymphopenia, elevated levels of LDH, ALT, AST, PCT, Cr and D-dimer are associated with severity of COVID-19 and thus could be used as early identification or even prediction of disease progression.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Epidemiology

Reference55 articles.

1. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy

2. Cardiac troponin I in patients with coronavirus disease 2019 (COVID-19): Evidence from a meta-analysis

3. Clinical characteristics of 55 hospitalized patients with COVID-19 in Wuhan, China;Bin;Journal of Guangxi Medical University,2020

4. Clinical analysis ofrisk factors for severe patients with novel coronavirus pneumonia;Ling;Chinese Journal of Infectious Diseases,2020

5. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia

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