Highlights • Coronaviruses represent a significant burden in acute care settings. • Female gender and smoking were associated with poor prognosis. • All cause mortality in our cohort was similar to what is observed for influenza virus. Background The World Health Organization has highlighted the need for improved surveillance and understanding of the health burden imposed by non-influenza RNA respiratory viruses. Human coronaviruses (CoVs) are a major cause of respiratory and gastrointestinal tract infections with associated morbidity and mortality. Objectives The objective of our study was to characterize the epidemiology of CoVs in our tertiary care centre, and identify clinical correlates of disease severity. Study design A cross-sectional study was performed of 226 patients admitted with confirmed CoV respiratory tract infection between 2010 and 2016. Variables consistent with a severe disease burden were evaluated including symptoms, length of stay, intensive care unit (ICU) admission and mortality. Results CoVs represented 11.3% of all positive respiratory virus samples and OC43 was the most commonly identified CoV. The majority of infections were community-associated while 21.6% were considered nosocomial. The average length of stay was 11.8 days with 17.3% of patients requiring ICU admission and an all-cause mortality of 7%. In a multivariate model, female gender and smoking were associated with increased likelihood of admission to ICU or death. Conclusion This study highlights the significant burden of CoVs and justifies the need for surveillance in the acute care setting.
【저자키워드】 coronavirus, Risk factors, respiratory tract infection, Prevalence, Disease burden, 【초록키워드】 coronavirus, Mortality, intensive care, Epidemiology, cross-sectional, disease severity, nosocomial, Human, Infection, Gender, Influenza virus, smoking, Symptoms, ICU, RNA, respiratory viruses, Cohort, Health, Surveillance, respiratory virus, Patient, ICU admission, death, CoV, morbidity and mortality, Admission, Care, gastrointestinal tract, OC43, severe disease, World Health Organization, average, all-cause mortality, multivariate model, female gender, poor prognosis, CoVs, positive, variable, objective, likelihood, highlight, Result, identify, evaluated, was performed, majority, 【제목키워드】 Care, Toronto,