Evidence map›Paper›PMID 39849609›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Impact of underlying diseases and complications on COVID-19 mortality in South Korea: analysis of national health insurance service data.

Kyunghee Lee, Jieun Hwang

Abstract readLetter
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Kyunghee LeeDepartment of Healthcare Management, Eulji University of Korea, 553 Sanseongdaero, Sujeong-gu, Seongnam city, Kyeonggi-do, 13135, Republic of Korea.ORCID http://orcid.org/0000-0003-1253-386X
Jieun HwangDepartment of Health Administration, College of Health Science, Dankook University, 119 Dandaero, Dongnam-gu, Cheonan city, Chungcheongnam-do, 31116, Republic of Korea. hwang0310@dankook.ac.kr.ORCID http://orcid.org/0000-0002-5094-6107

Funding

National Research Foundation of Korea grant No. RS-2022-00165715
6 · The paper itself

Abstract

backgroundComorbidities or complications significantly influence coronavirus disease-2019 (COVID-19) severity and mortality risk. Therefore, this study aimed to compare treatment outcomes of COVID-19 inpatients by underlying diseases or complications.

methodData on COVID-19 patients from the National Health Insurance Service customized research database were analyzed while focusing on eight underlying diseases and complications: diabetes, hypertension, heart disease, kidney disease, liver disease, dementia, depression, and respiratory disease.

resultsOf the 377,812 COVID-19 patients in 2021, 51.47% were male and 48.53% were female, and post-diagnosis mortality was 2.04%; 68.7% (n = 259,560) of patients had at least one underlying condition, with the following frequency: respiratory disease (78.88%), heart disease (33.84%), hypertension (30.29%), liver disease (21.38%), depression (9.32%), kidney disease (4.89%), and dementia (3.87%). Among patients without any underlying diseases, 19.8% (n = 74,925) were treated for post-diagnosis complications, with the following frequency: respiratory disease (89.21%), liver disease (19.12%), heart disease (14.90%), diabetes (10.37%), hypertension (8.22%), depression (3.86%), kidney disease (2.04%), and dementia (0.64%). Except for liver disease, all underlying diseases were associated with mortality. COVID-19 patients with diabetes exhibited a 1.42-fold higher mortality risk (95% confidence interval [CI ]1.35-1.50). All complications were associated with death, with kidney-related complications conferring a 4.84-fold higher mortality risk (95% CI 3.62-6.48).

conclusionUnderlying diseases and complications in COVID-19 patients were associated with death. Even with the same disease, the timing of onset, before or after COVID-19 diagnosis, induced a difference in the mortality risk. Both underlying diseases and complications should be considered for more proactive medical interventions.

Indexed as

ComplicationsCOVID-19MortalityUnderlying diseases

Identifiers

PMID39849609
PMCPMC11755852

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.