Prognostic Factors for Severe Coronavirus Disease 2019 in Daegu, Korea
10.3346/jkms.2020.35.e209
- Author:
Jong Geol JANG
1
;
Jian HUR
;
Eun Young CHOI
;
Kyung Soo HONG
;
Wonhwa LEE
;
June Hong AHN
Author Information
1. Division of Pulmonology and Allergy, Department of Internal Medicine, Regional Center for Respiratory Diseases, Yeungnam University Medical Center, College of Medicine, Yeungnam University, Daegu, Korea
- Publication Type:Original Article
- From:Journal of Korean Medical Science
2020;35(23):e209-
- CountryRepublic of Korea
- Language:0
-
Abstract:
Background:Since its first detection in December 2019, coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 infection has spread rapidly around the world. Although there have been several studies investigating prognostic factors for severe COVID-19, there have been no such studies in Korea.
Methods:We performed a retrospective observational study of 110 patients with confirmed COVID-19 hospitalized at a tertiary hospital in Daegu, Korea. Demographic, clinical, laboratory, and outcome data were collected and analyzed. Severe disease was defined as a composite outcome of acute respiratory distress syndrome, intensive care unit care, or death.
Results:Diabetes mellitus (odds ratio [OR], 19.15; 95% confidence interval [CI], 1.90–193.42; P = 0.012), body temperature ≥ 37.8°C (OR, 10.91; 95% CI, 1.35–88.36; P = 0.025), peripheral oxygen saturation < 92% (OR, 33.31; 95% CI, 2.45–452.22; P = 0.008), and creatine kinase-MB (CK-MB) > 6.3 (OR, 56.84; 95% CI, 2.64–1,223.78, P = 0.010) at admission were associated with higher risk of severe COVID-19. The likelihood of development of severe COVID-19 increased with an increasing number of prognostic factors.
Conclusion:In conclusion, we found that diabetes mellitus, body temperature ≥ 37.8°C, peripheral oxygen saturation < 92%, and CK-MB > 6.3 are independent predictors of severe disease in hospitalized COVID-19 patients. Appropriate assessment of prognostic factors and close monitoring to provide the necessary interventions at the appropriate time in high-risk patients may reduce the case fatality rate of COVID-19.
