OBJECTIVES We aimed to examine how comorbidities were associated with outcomes (illness severity or death) among hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS Data were provided by the National Medical Center of the Korea Disease Control and Prevention Agency. These data included the clinical and epidemiological information of all patients hospitalized with COVID-19 who were discharged on or before April 30, 2020 in Korea. We conducted comorbidity network and multinomial logistic regression analyses to identify risk factors associated with COVID-19 disease severity and mortality. The outcome variable was the clinical severity score (CSS), categorized as mild (oxygen treatment not needed), severe (oxygen treatment needed), or death. RESULTS In total, 5,771 patients were included. In the fully adjusted model, chronic kidney disease (CKD) (odds ratio [OR], 2.58; 95% confidence interval [CI], 1.19 to 5.61) and chronic obstructive pulmonary disease (COPD) (OR, 3.19; 95% CI, 1.35 to 7.52) were significantly associated with disease severity. CKD (OR, 5.35; 95% CI, 2.00 to 14.31), heart failure (HF) (OR, 3.15; 95% CI, 1.22 to 8.15), malignancy (OR, 3.38; 95% CI, 1.59 to 7.17), dementia (OR, 2.62; 95% CI, 1.45 to 4.72), and diabetes mellitus (OR, 2.26; 95% CI, 1.46 to 3.49) were associated with an increased risk of death. Asthma and hypertension showed statistically insignificant associations with an increased risk of death. CONCLUSIONS Underlying diseases contribute differently to the severity of COVID-19. To efficiently allocate limited medical resources, underlying comorbidities should be closely monitored, particularly CKD, COPD, and HF.
【저자키워드】 COVID-19, Comorbidity, Infectious disease, Korea, Symptoms, social network analysis, 【초록키워드】 coronavirus disease, Mortality, disease severity, Diabetes Mellitus, prevention, Chronic kidney disease, outcome, risk factor, hypertension, COPD, heart failure, Dementia, severity of COVID-19, Patient, Control, death, Mild, epidemiological, information, disease, pulmonary disease, association, Analysis, Odds ratio, CKD, malignancy, Illness severity, Oxygen treatment, Medical resources, 95% CI, 95% confidence interval, increased risk, multinomial logistic regression, clinical severity score, center, identify, significantly, conducted, provided, adjusted, contribute, hospitalized patient, discharged, statistically, chronic obstructive, CSS, patients hospitalized, with COVID-19, 【제목키워드】 Hospitalized, Patient, Korean, Anatomy,