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Epidemiol Infect ; 148: e114, 2020 06 10.
Article in English | MEDLINE | ID: covidwho-624594

ABSTRACT

BACKGROUND: The median duration of hospital stays due to COVID-19 has been reported in several studies on China as 10-13 days. Global studies have indicated that the length of hospitalisation depends on different factors, such as the time elapsed from exposure to symptom onset, and from symptom onset to hospital admission, as well as specificities of the country under study. The goal of this paper is to identify factors associated with the median duration of hospital stays of COVID-19 patients during the second COVID-19 wave that hit Vietnam from 5 March to 8 April 2020. METHOD: We used retrospective data on 133 hospitalised patients with COVID-19 recorded over at least two weeks during the study period. The Cox proportional-hazards regression model was applied to determine the potential risk factors associated with length of hospital stay. RESULTS: There were 65 (48.9%) females, 98 (73.7%) patients 48 years old or younger, 15 (11.3%) persons with comorbidities, 21 (16.0%) severely ill patients and 5 (3.8%) individuals with life-threatening conditions. Eighty-two (61.7%) patients were discharged after testing negative for the SARS-CoV-2 virus, 51 were still in the hospital at the end of the study period and none died. The median duration of stay in a hospital was 21 (IQR: 16-34) days. The multivariable Cox regression model showed that age, residence and sources of contamination were significantly associated with longer duration of hospitalisation. CONCLUSION: A close look at how long COVID-19 patients stayed in the hospital could provide an overview of their treatment process in Vietnam, and support the country's National Steering Committee on COVID-19 Prevention and Control in the efficient allocation of resources over the next stages of the COVID-19 prevention period.


Subject(s)
Coronavirus Infections/epidemiology , Length of Stay/statistics & numerical data , Pneumonia, Viral/epidemiology , Quarantine/statistics & numerical data , Travel-Related Illness , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Betacoronavirus , COVID-19 , COVID-19 Testing , COVID-19 Vaccines , Child , Child, Preschool , Clinical Laboratory Techniques , Coronavirus Infections/diagnosis , Female , Geography , Hospitalization , Humans , Male , Middle Aged , Multivariate Analysis , Pandemics , Proportional Hazards Models , Real-Time Polymerase Chain Reaction , Residence Characteristics , Retrospective Studies , Reverse Transcriptase Polymerase Chain Reaction , Risk Factors , SARS-CoV-2 , Severity of Illness Index , Survival Analysis , Vietnam/epidemiology , Young Adult
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