Abstract Background We compared all-cause mortality between individuals in South Korea with and without coronavirus disease 2019 (COVID-19) using propensity score (PS) matching. Methods This population-based cohort study used data from the National Health Insurance Service COVID-19 cohort database. In the database, we included individuals (COVID-19 patients, control population, and test-negative individuals) aged 20 years or older, regardless of hospitalization. The primary end point was all-cause mortality between January 1, 2020, and August 27, 2020. Results A total of 328 374 adults were included in the study: 7713 and 320 660 in the COVID-19 group and the control group. After PS matching, a total of 15 426 individuals (7713 per group) were included in the analysis. All-cause mortality was 3.2% (248/7713) and 1.6% (126/7713) in the COVID-19 group and the control group, respectively. In Cox regression analysis after PS matching, the risk of death in the COVID-19 group was twice as high (hazard ratio, 2.00; 95% CI, 1.61–2.48; P < .001) as that in the control group. Among patients aged ≥60 years, the COVID-19 group had a 2.32-fold higher all-cause mortality compared with the control group, while statistically significant differences were not observed in the age groups 20–39 years ( P = .339) and 40–59 years ( P = .562). Conclusions In South Korea, all-cause mortality was twice as high among individuals with COVID-19 as among those with similar underlying risks, primarily because of the elevated COVID-19-associated mortality in those aged ≥60 years. Our results highlight the need for prevention of COVID-19 with respect to mortality as a public health outcome.
【저자키워드】 viruses, public health, Population, infections, 【초록키워드】 COVID-19, coronavirus disease, Mortality, Hospitalization, outcome, database, Patient, age, group, South Korea, COVID-19 patients, population-based cohort, Analysis, risk of death, insurance, Older, control group, 95% CI, hazard ratio, individual, all-cause mortality, Cox regression analysis, statistically significant difference, primary end point, COVID-19 group, service, COVID-19 cohort, highlight, prevention of COVID-19, Result, elevated, individuals, individuals with COVID-19, used data, 【제목키워드】 COVID-19, South Korea, individual,