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Hyo Young Choi 1 Article
The anatomy of COVID-19 comorbidity networks among hospitalized Korean patients
Eun Kyong Shin, Hyo Young Choi, Neil Hayes
Epidemiol Health. 2021;43:e2021035.   Published online May 7, 2021
DOI: https://doi.org/10.4178/epih.e2021035
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  • 1 Citations
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
We aimed to examine how comorbidities were associated with outcomes (illness severity or death) among hospitalized patients with coronavirus disease 2019 (COVID-19).
METHODS
Data were provided by the National Medical Center of the Korea Disease Control and Prevention Agency. These data included the clinical and epidemiological information of all patients hospitalized with COVID-19 who were discharged on or before April 30, 2020 in Korea. We conducted comorbidity network and multinomial logistic regression analyses to identify risk factors associated with COVID-19 disease severity and mortality. The outcome variable was the clinical severity score (CSS), categorized as mild (oxygen treatment not needed), severe (oxygen treatment needed), or death.
RESULTS
In total, 5,771 patients were included. In the fully adjusted model, chronic kidney disease (CKD) (odds ratio [OR], 2.58; 95% confidence interval [CI], 1.19 to 5.61) and chronic obstructive pulmonary disease (COPD) (OR, 3.19; 95% CI, 1.35 to 7.52) were significantly associated with disease severity. CKD (OR, 5.35; 95% CI, 2.00 to 14.31), heart failure (HF) (OR, 3.15; 95% CI, 1.22 to 8.15), malignancy (OR, 3.38; 95% CI, 1.59 to 7.17), dementia (OR, 2.62; 95% CI, 1.45 to 4.72), and diabetes mellitus (OR, 2.26; 95% CI, 1.46 to 3.49) were associated with an increased risk of death. Asthma and hypertension showed statistically insignificant associations with an increased risk of death.
CONCLUSIONS
Underlying diseases contribute differently to the severity of COVID-19. To efficiently allocate limited medical resources, underlying comorbidities should be closely monitored, particularly CKD, COPD, and HF.
Summary
Korean summary
본 연구는 2019 년 코로나 바이러스 질환 (COVID-19)으로 입원 한 환자의 합병증이 결과 (질병 중증도 또는 사망)와 어떤 관련이 있는지를 동반 질환 네트워크 및 다항 로지스틱 회귀 분석을 통해 분석하였다. 기저 질환은 COVID-19의 중증도 및 사망에 차별적으로 영향을 미친다. 제한된 의료 자원을 효율적으로 활용하기 위해서 환자의 기저 동반 질환 중, 특히 만성 신장 질환 (CKD), 만성 폐쇄성 폐 질환 (COPD), 심부전 (HF)을 더욱 면밀히 모니터링해야 한다.
Key Message
We examined how comorbidities were associated with outcomes (illness severity or death) among hospitalized patients with coronavirus disease 2019 (COVID-19), implementing comorbidity network and multinomial logistic regression analyses. Underlying diseases contribute differently to the severity of COVID-19. To efficiently allocate limited medical resources, underlying comorbidities should be closely monitored, particularly chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), and heart failure (HF).

Citations

Citations to this article as recorded by  
  • The Role of Diabetes and Hyperglycemia on COVID-19 Infection Course—A Narrative Review
    Evangelia Tzeravini, Eleftherios Stratigakos, Chris Siafarikas, Anastasios Tentolouris, Nikolaos Tentolouris
    Frontiers in Clinical Diabetes and Healthcare.2022;[Epub]     CrossRef

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