Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data
Objectives: This study aimed to identify the survival rate and explore factors affecting survival among early COVID-19 patients in South Korea. Methods: Data reported by the Korea Disease Control and Prevention Agency (KDCA), up to 15 July, when COVID-19 was confirmed were used as research data in c...
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doaj-758c776b22d74d04a68537e810a70afc2021-04-26T05:54:35ZengElsevierInternational Journal of Infectious Diseases1201-97122021-04-01105588594Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big dataKyeong Hyang Byeon0Dong Wook Kim1Jaiyong Kim2Bo Youl Choi3Boyoung Choi4Kyu Dong Cho5Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of KoreaHealth Insurance Research Institute, National Health Insurance Service, Wonju, Republic of KoreaInstitute of Artificial Intelligence and Big Data in Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Corresponding author at: Institute of Artificial Intelligence and Big Data in Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Republic of Korea.Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea; Corresponding author at: Department of Preventive Medicine, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.Department of Public Health and Medical Administration, Dongyang University, Yeongju, Republic of KoreaHealth Insurance Research Institute, National Health Insurance Service, Wonju, Republic of KoreaObjectives: This study aimed to identify the survival rate and explore factors affecting survival among early COVID-19 patients in South Korea. Methods: Data reported by the Korea Disease Control and Prevention Agency (KDCA), up to 15 July, when COVID-19 was confirmed were used as research data in connection with the National Health Insurance Service’s (NHIS) national health information database. The final analysis targets were 12,646 confirmed patients and 303 deaths. The survival rate of patients with COVID-19 was estimated through Kaplan-Meier survival analysis. Cox proportional hazard regression analysis was performed to search for factors affecting survival. Results: When looking at the survival rate by age group for men and women, the 28-day survival rate for men aged >80 years was 77% and 73% at 42 days, while 83% and 81% for women. Men had a worse survival rate than women. For chronic diseases, the highest risk of mortality was observed in malignant neoplasms of the respiratory and urogenital systems, followed by diseases of the urinary system and diabetes. Conclusions: The number of COVID-19 deaths was highest the next day after initial diagnosis. The case fatality rate was high in males, older age, and chronic diseases.http://www.sciencedirect.com/science/article/pii/S1201971221001879COVID-19Survival analysisSocioeconomic factorsChronic diseases |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kyeong Hyang Byeon Dong Wook Kim Jaiyong Kim Bo Youl Choi Boyoung Choi Kyu Dong Cho |
spellingShingle |
Kyeong Hyang Byeon Dong Wook Kim Jaiyong Kim Bo Youl Choi Boyoung Choi Kyu Dong Cho Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data International Journal of Infectious Diseases COVID-19 Survival analysis Socioeconomic factors Chronic diseases |
author_facet |
Kyeong Hyang Byeon Dong Wook Kim Jaiyong Kim Bo Youl Choi Boyoung Choi Kyu Dong Cho |
author_sort |
Kyeong Hyang Byeon |
title |
Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data |
title_short |
Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data |
title_full |
Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data |
title_fullStr |
Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data |
title_full_unstemmed |
Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data |
title_sort |
factors affecting the survival of early covid-19 patients in south korea: an observational study based on the korean national health insurance big data |
publisher |
Elsevier |
series |
International Journal of Infectious Diseases |
issn |
1201-9712 |
publishDate |
2021-04-01 |
description |
Objectives: This study aimed to identify the survival rate and explore factors affecting survival among early COVID-19 patients in South Korea. Methods: Data reported by the Korea Disease Control and Prevention Agency (KDCA), up to 15 July, when COVID-19 was confirmed were used as research data in connection with the National Health Insurance Service’s (NHIS) national health information database. The final analysis targets were 12,646 confirmed patients and 303 deaths. The survival rate of patients with COVID-19 was estimated through Kaplan-Meier survival analysis. Cox proportional hazard regression analysis was performed to search for factors affecting survival. Results: When looking at the survival rate by age group for men and women, the 28-day survival rate for men aged >80 years was 77% and 73% at 42 days, while 83% and 81% for women. Men had a worse survival rate than women. For chronic diseases, the highest risk of mortality was observed in malignant neoplasms of the respiratory and urogenital systems, followed by diseases of the urinary system and diabetes. Conclusions: The number of COVID-19 deaths was highest the next day after initial diagnosis. The case fatality rate was high in males, older age, and chronic diseases. |
topic |
COVID-19 Survival analysis Socioeconomic factors Chronic diseases |
url |
http://www.sciencedirect.com/science/article/pii/S1201971221001879 |
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