Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database

Abstract We aimed to investigate the impact of comorbidity burden on mortality in patients with coronavirus disease (COVID-19). We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patie...

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Autores principales:	Soo Ick Cho, Susie Yoon, Ho-Jin Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ae3f8bc61fde4f689a9370aeb65d824a
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spelling	oai:doaj.org-article:ae3f8bc61fde4f689a9370aeb65d824a2021-12-02T13:18:08ZImpact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database10.1038/s41598-021-85813-22045-2322https://doaj.org/article/ae3f8bc61fde4f689a9370aeb65d824a2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85813-2https://doaj.org/toc/2045-2322Abstract We aimed to investigate the impact of comorbidity burden on mortality in patients with coronavirus disease (COVID-19). We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patients with COVID-19 were extracted from the database. The odds ratios of mortality according to comorbidities in these patients with and without adjustment for age and sex were calculated. The predictive value of the original Charlson comorbidity index (CCI) and the age-adjusted CCI (ACCI) for mortality in these patients were investigated using the receiver operating characteristic (ROC) curve analysis. Among 7590 patients, 227 (3.0%) had died. After age and sex adjustment, hypertension, diabetes mellitus, congestive heart failure, dementia, chronic pulmonary disease, liver disease, renal disease, and cancer were significant risk factors for mortality. The ROC curve analysis showed that an ACCI threshold > 3.5 yielded the best cut-off point for predicting mortality (area under the ROC 0.92; 95% confidence interval 0.91–0.94). Our study revealed multiple risk factors for mortality in patients with COVID-19. The high predictive power of the ACCI for mortality in our results can support the importance of old age and comorbidities in the severity of COVID-19.Soo Ick ChoSusie YoonHo-Jin LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Soo Ick Cho Susie Yoon Ho-Jin Lee Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
description	Abstract We aimed to investigate the impact of comorbidity burden on mortality in patients with coronavirus disease (COVID-19). We analyzed the COVID-19 data from the nationwide health insurance claims of South Korea. Data on demographic characteristics, comorbidities, and mortality records of patients with COVID-19 were extracted from the database. The odds ratios of mortality according to comorbidities in these patients with and without adjustment for age and sex were calculated. The predictive value of the original Charlson comorbidity index (CCI) and the age-adjusted CCI (ACCI) for mortality in these patients were investigated using the receiver operating characteristic (ROC) curve analysis. Among 7590 patients, 227 (3.0%) had died. After age and sex adjustment, hypertension, diabetes mellitus, congestive heart failure, dementia, chronic pulmonary disease, liver disease, renal disease, and cancer were significant risk factors for mortality. The ROC curve analysis showed that an ACCI threshold > 3.5 yielded the best cut-off point for predicting mortality (area under the ROC 0.92; 95% confidence interval 0.91–0.94). Our study revealed multiple risk factors for mortality in patients with COVID-19. The high predictive power of the ACCI for mortality in our results can support the importance of old age and comorbidities in the severity of COVID-19.
format	article
author	Soo Ick Cho Susie Yoon Ho-Jin Lee
author_facet	Soo Ick Cho Susie Yoon Ho-Jin Lee
author_sort	Soo Ick Cho
title	Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
title_short	Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
title_full	Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
title_fullStr	Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
title_full_unstemmed	Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database
title_sort	impact of comorbidity burden on mortality in patients with covid-19 using the korean health insurance database
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ae3f8bc61fde4f689a9370aeb65d824a
work_keys_str_mv	AT sooickcho impactofcomorbidityburdenonmortalityinpatientswithcovid19usingthekoreanhealthinsurancedatabase AT susieyoon impactofcomorbidityburdenonmortalityinpatientswithcovid19usingthekoreanhealthinsurancedatabase AT hojinlee impactofcomorbidityburdenonmortalityinpatientswithcovid19usingthekoreanhealthinsurancedatabase
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Impact of comorbidity burden on mortality in patients with COVID-19 using the Korean health insurance database

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