A preliminary study of coronavirus disease 2019 in China: the impact of cardiovascular disease on death risk.

INTRODUCTION

The primary purpose of this work is to study coronavirus disease 2019 (COVID-19) in China and to identify the prognostic characteristics of patients with the highest death risk.

MATERIAL AND METHODS

The statistical methods used to derive the results of this work are the chi-square test and one-way analysis of variance (ANOVA) to examine the characteristics of COVID-19 associated deaths. A multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors with the highest death risk for this type of disease.

RESULTS

According to multiple logistic regression analyses, males (OR = 1.68; 95% CI: 1.48-1.91) who are over 50 years old (OR = 7.2; 95% CI: 1.01-51.6) from Hubei (OR = 7.73; 95% CI: 5.71-10.47) have the highest risk of death from this type of disease. Moreover, individuals who are retirees (OR = 2.83; 95% CI: 2.47-3.25) and had a Wuhan-related exposure (OR = 2.17; 95% CI: 1.68-2.79) have two times higher risk of death from COVID-19, while the risk is thirteen times higher with the comorbid condition "cardiovascular disease" (OR = 13.6; 95% CI: 10.3-17.9).

CONCLUSIONS

The results of this study describe for the first time the importance of cardiovascular disease as a primary prognostic risk factor for death from coronavirus disease 2019.