<strong class="sub-title"> Background: </strong> Identification of reliable outcome predictors in Corona virus disease-<em>2</em>019 (Covid-19) is of paramount importance for improving patient's management.
<strong class="sub-title"> Methods: </strong> A systematic review of literature was conducted until April <em>2</em>4<sup>th</sup> , <em>2</em>0<em>2</em>0. From 6,843 articles, 49 studies were selected for a pooled assessment; cumulative statistics for age and sex were retrieved in 587,790 and 60<em>2</em>,<em>2</em>34 cases. Two endpoints were defined: 1) a composite outcome including death, severe presentation, hospitalization in intensive care unit (ICU) and/or mechanical ventilation; <em>2</em>) in-hospital mortality. We extracted numeric data on patients' characteristics and cases with adverse outcomes and employed inverse variance random effects models to derive pooled estimates.
<strong class="sub-title"> Results: </strong> We identified 18 and 1<em>2</em> factors associated with the composite endpoint and death, respectively. Among those, a history of CVD (odds ratio (OR)=3.15, 95% confidence intervals (CI) <em>2</em>.<em>2</em>6-4.41), acute cardiac (OR=10.58, 5.00-<em>2</em><em>2</em>.40) or kidney (OR=5.13, 1.78-14.83) injury, increased procalcitonin (OR=4.8, <em>2</em>.034-11.31) or D-dimer (OR=3.7, 1.74-7.89), and thrombocytopenia (OR=6.<em>2</em>3, 1.031-37.67) conveyed the highest odds for the adverse composite endpoint. Advanced age, male sex, cardiovascular comorbidities, acute cardiac or kidney injury, lymphocytopenia and D-dimer conferred an increased risk of in-hospital death. With respect to the treatment of the acute phase, therapy with steroids was associated with the adverse composite endpoint (OR=3.61, 95% CI 1.934-6.73), but not with mortality.
Conclusions: Advanced age, comorbidities, abnormal inflammatory and organ injury circulating biomarkers captured patients with an adverse clinical outcome. Clinical history and laboratory profile may then help identify patients with a higher risk of in-hospital mortality.
Keywords: Covid-19; meta-analysis; outcomes; predictors.