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KMID : 1141520200350040901
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Endocrinology and Metabolism
2020 Volume.35 No. 4 p.901 ~ p.908
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Clinical Outcomes of COVID-19 Patients with Type 2 Diabetes: A Population-Based Study in Korea
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You Ji-Hong
Lee Sang-Ah
Chun Sung-Youn
Song Sun-Ok
Lee Byung-Wan
Kim Dae-Jung
Boyko Edward J.
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Abstract
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Background: The aim of this study was to evaluate clinical outcomes in coronavirus disease 2019 (COVID-19) positive patients with type 2 diabetes compared to those without diabetes in Korea.
Methods: We extracted claims data for patients diagnosed with COVID-19 from the National Health Insurance Service database in Korea from January 20, 2020 to March 31, 2020. We followed up this cohort until death from COVID-19 or discharge from hospital.
Results: A total of 5,473 patients diagnosed with COVID-19 were analyzed, including 495 with type 2 diabetes and 4,978 without diabetes. Patients with type 2 diabetes were more likely to be treated in the intensive care unit (ICU) (P<0.0001). The incidence of in-hospital mortality was higher in patients with type 2 diabetes (P<0.0001). After adjustment for age, sex, insurance status, and comorbidities, odds of ICU admission (adjusted odds ratio [OR], 1.59; 95% confidence interval [CI], 1.02 to 2.49; P=0.0416) and in-hospital mortality (adjusted OR, 1.90; 95% CI, 1.13 to 3.21; P=0.0161) among patients with COVID-19 infection were significantly higher in those with type 2 diabetes. However, there was no significant difference between patients with and without type 2 diabetes in ventilator, oxygen therapy, antibiotics, antiviral drugs, antipyretics, and the incidence of pneumonia after adjustment.
Conclusion: COVID-19 positive patients with type 2 diabetes had poorer clinical outcomes with higher risk of ICU admission and in-hospital mortality than those without diabetes. Therefore, medical providers need to consider this more serious clinical course when planning and delivering care to type 2 diabetes patients with COVID-19 infection.
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KEYWORD
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COVID-19, Diabetes mellitus, type 2, Incidence, Mortality, Epidemiology
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