To analyse the prevalence of severe and critical COVID-19 cases and its determinants, a systematic review and meta-analysis were conducted using Review Manager Four English and two Chinese databases were used to identify and explore the relationships between the severity of COVID-19 and its determinants, with no restrictions on publication date The odds ratio and 95% CI were combined to assess the influencing level of all factors Twenty-three articles containing a total of 15,828 cases of COVID-19 were included in this systematic review The prevalence of severe and critical COVID-19 cases was 17 84% and 4 9%, respectively A total of 148 factors were identified, which included behavioural, symptom, comorbidity, laboratory, radiographic, exposure, and other factors Among them, 35 factors could be included in the meta-analysis Specifically, for example, the male (OR 1 55, 95% CI 1 42–1 69) and elderly (OR 1 06, 95% CI 1 03–1 10) populations tended to experience severe and critical illness Patients with cough, dyspnea, fatigue, fever, and gastrointestinal symptoms could have severe and critical diseases Regarding laboratory results, albumin, aspartate aminotransferase, creatinine, D-dimer, fibrinogen, neutrophils, procalcitonin, platelets, and respiratory rate were potential factors that could be used to predict the severity of COVID
The Severity of COVID-19 and Its Determinants: A Systematic Review and Meta-Analysis in China