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Clinical Characteristics and Outcomes of COVID-19 Cohort Patients in Daegu Metropolitan City Outbreak in 2020

Shin‐Woo Kim, Seung-Mee Kim, Yu Kyung Kim, Jong-Yeon Kim, Yu‐Mi Lee, Bong-Ok Kim, Suhyun Hwangbo, Taesung Park

2020Journal of Korean Medical Science63 citationsDOIOpen Access PDF

Abstract

BACKGROUND: A coronavirus disease 2019 (COVID-19) outbreak started in February 2020 and was controlled at the end of March 2020 in Daegu, the epicenter of the coronavirus outbreak in Korea. The aim of this study was to describe the clinical course and outcomes of patients with COVID-19 in Daegu. METHODS: In collaboration with Daegu Metropolitan City and Korean Center for Diseases Control, we conducted a retrospective, multicenter cohort study. Demographic, clinical, treatment, and laboratory data, including viral RNA detection, were obtained from the electronic medical records and cohort database and compared between survivors and non-survivors. We used univariate and multi-variable logistic regression methods and Cox regression model and performed Kaplan-Meier analysis to determine the risk factors associated with the 28-day mortality and release from isolation among the patients. RESULTS: = 0.017). The median duration for release from isolation was 33 days (interquartile range, 24.0-46.0) in survivors. The Cox proportional hazard model for the long duration of isolation included severity, age > 70, and dementia. CONCLUSION: Overall, asymptomatic to mild patients were approximately 77% of the total cohort (asymptomatic, 30.6%). The case fatality rate was 2.5%. Risk factors, including older age, need for O₂ supply, dementia, and neurological disorder at admission, could help clinicians to identify COVID-19 patients with poor prognosis at an early stage.

Topics & Concepts

MedicineCohortOutbreakHazard ratioAsymptomaticProportional hazards modelRetrospective cohort studyInternal medicineCohort studyLogistic regressionPediatricsVirologyConfidence intervalCOVID-19 Clinical Research StudiesLong-Term Effects of COVID-19SARS-CoV-2 detection and testing