Factors affecting the survival of early COVID-19 patients in South Korea: An observational study based on the Korean National Health Insurance big data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Byeon, Kyeong Hyang | - |
dc.contributor.author | Kim, Dong Wook | - |
dc.contributor.author | Kim, Jaiyong | - |
dc.contributor.author | Choi, Bo Youl | - |
dc.contributor.author | Choi, Boyoung | - |
dc.contributor.author | Cho, Kyu Dong | - |
dc.date.accessioned | 2022-07-06T22:31:34Z | - |
dc.date.available | 2022-07-06T22:31:34Z | - |
dc.date.created | 2021-07-14 | - |
dc.date.issued | 2021-04 | - |
dc.identifier.issn | 1201-9712 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142079 | - |
dc.description.abstract | 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.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 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Bo Youl | - |
dc.identifier.doi | 10.1016/j.ijid.2021.02.101 | - |
dc.identifier.scopusid | 2-s2.0-85103137168 | - |
dc.identifier.wosid | 000644645900042 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, v.105, pp.588 - 594 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES | - |
dc.citation.title | INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES | - |
dc.citation.volume | 105 | - |
dc.citation.startPage | 588 | - |
dc.citation.endPage | 594 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Infectious Diseases | - |
dc.relation.journalWebOfScienceCategory | Infectious Diseases | - |
dc.subject.keywordPlus | adult | - |
dc.subject.keywordPlus | aged | - |
dc.subject.keywordPlus | Article | - |
dc.subject.keywordPlus | big data | - |
dc.subject.keywordPlus | case fatality rate | - |
dc.subject.keywordPlus | chronic disease | - |
dc.subject.keywordPlus | controlled study | - |
dc.subject.keywordPlus | coronavirus disease 2019 | - |
dc.subject.keywordPlus | diabetes mellitus | - |
dc.subject.keywordPlus | disease control | - |
dc.subject.keywordPlus | female | - |
dc.subject.keywordPlus | human | - |
dc.subject.keywordPlus | major clinical study | - |
dc.subject.keywordPlus | male | - |
dc.subject.keywordPlus | mortality risk | - |
dc.subject.keywordPlus | national health insurance | - |
dc.subject.keywordPlus | observational study | - |
dc.subject.keywordPlus | respiratory tract cancer | - |
dc.subject.keywordPlus | sex difference | - |
dc.subject.keywordPlus | socioeconomics | - |
dc.subject.keywordPlus | South Korea | - |
dc.subject.keywordPlus | survival analysis | - |
dc.subject.keywordPlus | survival rate | - |
dc.subject.keywordPlus | urinary tract disease | - |
dc.subject.keywordPlus | urogenital tract cancer | - |
dc.subject.keywordPlus | epidemiology | - |
dc.subject.keywordPlus | middle aged | - |
dc.subject.keywordPlus | mortality | - |
dc.subject.keywordPlus | public health | - |
dc.subject.keywordPlus | risk factor | - |
dc.subject.keywordPlus | very elderly | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | Survival analysis | - |
dc.subject.keywordAuthor | Socioeconomic factors | - |
dc.subject.keywordAuthor | Chronic diseases | - |
dc.identifier.url | https://www.clinicalkey.com/#!/content/playContent/1-s2.0-S1201971221001879?returnurl=https:%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1201971221001879%3Fshowall%3Dtrue&referrer= | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.