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Clinical Outcome of Asymptomatic COVID-19 Infection Among a Large Nationwide Cohort of 5,621 Hospitalized Patients in Korea
Hayne Cho Park; Do Hyoung Kim; AJin Cho; Juhee Kim; Kyu-sang Yun; Jinseog Kim; Young-Ki Lee.
Afiliación
  • Hayne Cho Park; Kangnam Sacred Heart Hospital
  • Do Hyoung Kim; Kangnam Sacred Heart Hospital
  • AJin Cho; Kangnam Sacred Heart Hospital
  • Juhee Kim; Kangnam Sacred Heart Hospital
  • Kyu-sang Yun; Kangnam Sacred Heart Hospital
  • Jinseog Kim; Dongguk University
  • Young-Ki Lee; Kangnam Sacred Heart Hospital
Preprint en Inglés | medRxiv | ID: ppmedrxiv-20218982
ABSTRACT
We investigated clinical outcome of asymptomatic coronavirus disease 2019 (COVID-19) and identified risk factors associated with high patient mortality using Korean nationwide public database of 5,621 hospitalized patients. The mortality rate and admission rate to intensive care unit were compared between asymptomatic and symptomatic patients. The prediction model for patient mortality was developed through risk factor analysis among asymptomatic patients. The prevalence of asymptomatic COVID-19 infection was 25.8%. The mortality rates were not different between groups (3.3% vs. 4.5%, p=0.17). However, symptomatic patients were more likely to receive ICU care compared to asymptomatic patients (4.1% vs. 1.0%, p<0.0001). The age-adjusted Charlson comorbidity index score (CCIS) was the most potent predictor for patient mortality in asymptomatic patients. The clinicians should predict the risk of death by evaluating age and comorbidities but not the presence of symptoms. Article Summary LineSince asymptomatic patients have similar mortality rate with symptomatic patients, the clinicians should not classify clinical severity according to initial presence of symptom.
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Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Cohort_studies / Experimental_studies / Estudio observacional / Estudio pronóstico / Rct Idioma: Inglés Año: 2020 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Cohort_studies / Experimental_studies / Estudio observacional / Estudio pronóstico / Rct Idioma: Inglés Año: 2020 Tipo del documento: Preprint
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