About: The Correlation of Comorbidities on the Mortality in Patients with COVID-19: an Observational Study Based on the Korean National Health Insurance Big Data

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About: The Correlation of Comorbidities on the Mortality in Patients with COVID-19: an Observational Study Based on the Korean National Health Insurance Big Data Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The Correlation of Comorbidities on the Mortality in Patients with COVID-19: an Observational Study Based on the Korean National Health Insurance Big Data
Creator	Kim, Dong Byeon, Kyeong Cho, Kyu Hyang Byeon, Kyeong Kim, Jaiyong Lee, Nakyoung
Source	Medline; PMC
abstract	BACKGROUND: Mortality of coronavirus disease 2019 (COVID-19) is a major concern for quarantine departments in all countries. This is because the mortality of infectious diseases determines the basic policy stance of measures to prevent infectious diseases. Early screening of high-risk groups and taking action are the basics of disease management. This study examined the correlation of comorbidities on the mortality of patients with COVID-19. METHODS: We constructed epidemiologic characteristics and medical history database based on the Korean National Health Insurance Service Big Data and linked COVID-19 registry data of Korea Centers for Disease Control & Prevention (KCDC) for this emergent observational cohort study. A total of 9,148 patients with confirmed COVID-19 were included. Mortalities by sex, age, district, income level and all range of comorbidities classified by International Classification of Diseases-10 based 298 categories were estimated. RESULTS: There were 3,556 male confirmed cases, 67 deaths, and crude death rate (CDR) of 1.88%. There were 5,592 females, 63 deaths, and CDR of 1.13%. The most confirmed cases were 1,352 patients between the ages of 20 to 24, followed by 25 to 29. As a result of multivariate logistic regression analysis that adjusted epidemiologic factors to view the risk of death, the odds ratio of death would be hemorrhagic conditions and other diseases of blood and blood-forming organs 3.88-fold (95% confidence interval [CI], 1.52–9.88), heart failure 3.17-fold (95% CI, 1.88–5.34), renal failure 3.07-fold (95% CI, 1.43–6.61), prostate malignant neoplasm 2.88-fold (95% CI, 1.01–8.22), acute myocardial infarction 2.38-fold (95% CI, 1.03–5.49), diabetes was 1.82-fold (95% CI, 1.25–2.67), and other ischemic heart disease 1.71-fold (95% CI, 1.09–2.66). CONCLUSION: We hope that this study could provide information on high risk groups for preemptive interventions. In the future, if a vaccine for COVID-19 is developed, it is expected that this study will be the basic data for recommending immunization by selecting those with chronic disease that had high risk of death, as recommended target diseases for vaccination.
has issue date	2020-06-30(xsd:dateTime)
bibo:doi	10.3346/jkms.2020.35.e243
bibo:pmid	32627443
has license	cc-by-nc
sha1sum (hex)	6c3b53c438a1b0fecb6def05d9abc8a8e0a1d00d
schema:url	https://doi.org/10.3346/jkms.2020.35.e243
resource representing a document's title	The Correlation of Comorbidities on the Mortality in Patients with COVID-19: an Observational Study Based on the Korean National Health Insurance Big Data
has PubMed Central identifier	PMC7338208
has PubMed identifier	32627443
schema:publication	J Korean Med Sci
resource representing a document's body	covid:6c3b53c438a1b0fecb6def05d9abc8a8e0a1d00d#body_text
is schema:about of	named entity 'fold' named entity 'developed' named entity 'basics' named entity 'measures' named entity 'result' named entity 'vaccination' named entity 'action' named entity 'infectious diseases' named entity 'Prevention' named entity 'National Health Insurance' named entity 'Patients' named entity 'SERVICE' named entity 'SELECTING' named entity 'DATABASE' named entity 'PROVIDE' named entity 'level' named entity 'fold' named entity 'acute myocardial infarction' named entity 'hope' named entity 'fold' named entity 'coronavirus disease 2019' named entity 'immunization' named entity 'ischemic heart disease' named entity 'blood-forming' named entity 'hemorrhagic' named entity 'target' named entity 'total' named entity 'comorbidities' named entity '95% CI' named entity 'odds ratio' named entity 'COVID' named entity '95% CI' named entity 'blood-forming' named entity 'CDR' named entity 'vaccination' named entity 'correlation' named entity '95% CI' named entity 'vaccine' named entity 'database' named entity 'immunization' named entity 'regression analysis' named entity 'Big Data' named entity 'Comorbidities' named entity 'Observational Study' named entity 'fold' named entity '95% confidence interval' named entity 'high-risk groups' named entity 'COVID' named entity 'cornea' named entity 'Mortality Tables' named entity 'respiratory diseases' named entity 'intensive care unit' named entity 'respiratory diseases' named entity 'epidemiologic' named entity 'diabetes' named entity 'COVID-19' named entity 'prostate' named entity 'crude death rate' named entity 'underlying diseases' named entity 'Health Insurance' named entity 'rheumatoid arthritis' named entity 'diabetes' named entity 'COVID-19' named entity 'Fever of unknown origin' named entity 'epidemiologic' named entity '95% CI' named entity 'immune function' named entity 'regression analysis' named entity 'NEC' named entity 'socio-economic status' named entity 'comorbidities' named entity 'inflammatory' named entity 'acute bronchitis' named entity 'Hypertension' named entity 'acute myocardial infarction' named entity 'database'

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