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

IF 3.4 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Archives of Public Health Pub Date : 2025-01-23 DOI:10.1186/s13690-025-01509-3
Kyunghee Lee, Jieun Hwang
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Abstract

Background: Comorbidities 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.

Method: Data 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.

Results: Of 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).

Conclusion: Underlying 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.

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基础疾病和并发症对韩国COVID-19死亡率的影响:对国民健康保险服务数据的分析
背景:合并症或并发症显著影响冠状病毒病-2019 (COVID-19)的严重程度和死亡风险。因此,本研究旨在比较不同基础疾病或并发症的COVID-19住院患者的治疗结果。方法:对国民健康保险公团定制研究数据库中COVID-19患者的数据进行分析,重点分析糖尿病、高血压、心脏病、肾病、肝病、痴呆、抑郁症和呼吸系统疾病等8种潜在疾病和并发症。结果:2021年377,812例新冠肺炎患者中,男性占51.47%,女性占48.53%,诊断后死亡率为2.04%;68.7% (n = 259,560)的患者至少有一种基础疾病,频率如下:呼吸系统疾病(78.88%)、心脏病(33.84%)、高血压(30.29%)、肝脏疾病(21.38%)、抑郁症(9.32%)、肾脏疾病(4.89%)和痴呆(3.87%)。无基础疾病的患者中,因诊断后并发症就诊的占19.8% (n = 74,925),发生率依次为呼吸系统疾病(89.21%)、肝脏疾病(19.12%)、心脏病(14.90%)、糖尿病(10.37%)、高血压(8.22%)、抑郁症(3.86%)、肾脏疾病(2.04%)、痴呆(0.64%)。除肝病外,所有基础疾病均与死亡率相关。COVID-19合并糖尿病患者的死亡风险高出1.42倍(95%可信区间[CI]1.35-1.50)。所有并发症均与死亡相关,肾脏相关并发症导致死亡风险增加4.84倍(95% CI 3.62-6.48)。结论:COVID-19患者的基础疾病和并发症与死亡相关。即使是同一种疾病,发病时间(在COVID-19诊断之前或之后)也会导致死亡风险的差异。应考虑潜在疾病和并发症,采取更积极的医疗干预措施。
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来源期刊
Archives of Public Health
Archives of Public Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.80
自引率
3.00%
发文量
244
审稿时长
16 weeks
期刊介绍: rchives of Public Health is a broad scope public health journal, dedicated to publishing all sound science in the field of public health. The journal aims to better the understanding of the health of populations. The journal contributes to public health knowledge, enhances the interaction between research, policy and practice and stimulates public health monitoring and indicator development. The journal considers submissions on health outcomes and their determinants, with clear statements about the public health and policy implications. Archives of Public Health welcomes methodological papers (e.g., on study design and bias), papers on health services research, health economics, community interventions, and epidemiological studies dealing with international comparisons, the determinants of inequality in health, and the environmental, behavioural, social, demographic and occupational correlates of health and diseases.
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