| Literature DB >> 32517822 |
Pham Quang Thai1, Do Thi Thanh Toan2, Dinh Thai Son2, Hoang Thi Hai Van2, Luu Ngoc Minh2, Le Xuan Hung2, Ngo Van Toan3, Luu Ngoc Hoat2, Duong Huy Luong4, Luong Ngoc Khue4, Nguyen Trong Khoa4, Le Thi Huong5.
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.Entities:
Keywords: COVID-19; Vietnam; duration of stay; survival
Mesh:
Substances:
Year: 2020 PMID: 32517822 PMCID: PMC7306545 DOI: 10.1017/S0950268820001259
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 2.451
Epidemiological and clinical characteristics
| Presence of endpoint | |||
|---|---|---|---|
| No | Yes | All | |
| ( | ( | ( | |
| Age | |||
| Median (Q1, Q3) | 29.0 (22.0, 54.0) | 29.0 (22.0, 43.0) | 29.0 (22.0, 50.0) |
| Time | |||
| Median (Q1, Q3) | 19.0 (17.0, 22.0) | 16.0 (14.0, 19.0) | 17.0 (16.0, 21.0) |
| Gender | |||
| Female | 25 (49.0%) | 40 (48.8%) | 65 (48.9%) |
| Male | 26 (51.0%) | 42 (51.2%) | 68 (51.1%) |
| Age group | |||
| ⩽48 | 34 (66.7%) | 64 (78.0%) | 98 (73.7%) |
| >48 | 17 (33.3%) | 18 (22.0%) | 35 (26.3%) |
| Occupation | |||
| Other careers | 47 (92.2%) | 82 (100.0%) | 129 (97.0%) |
| Working at hospitals | 4 (7.8%) | 0 (0.0%) | 4 (3.0%) |
| Living area | |||
| North area | 36 (70.6%) | 30 (36.6%) | 66 (49.6%) |
| Central area | 2 (3.9%) | 19 (23.2%) | 21 (15.8%) |
| South area | 13 (25.5%) | 33 (40.2%) | 46 (34.6%) |
| Outbreak | |||
| Foreign outbreak | 31 (60.8%) | 66 (80.5%) | 97 (72.9%) |
| Identified cases | 8 (15.7%) | 14 (17.1%) | 22 (16.5%) |
| Domestic outbreak | 12 (23.5%) | 2 (2.4%) | 14 (10.5%) |
| Quarantine | |||
| Yes | 29 (56.9%) | 45 (54.9%) | 74 (55.6%) |
| No | 22 (43.1%) | 37 (45.1%) | 59 (44.4%) |
| Symptoms | |||
| No | 20 (39.2%) | 24 (29.3%) | 44 (33.1%) |
| Yes | 31 (60.8%) | 58 (70.7%) | 89 (66.9%) |
| Coexisting diseases | |||
| No | 46 (90.2%) | 72 (87.8%) | 118 (88.7%) |
| Yes | 5 (9.8%) | 10 (12.2%) | 15 (11.3%) |
| Severity of COVID-19 | |||
| No | 36 (73.5%) | 74 (90.2%) | 110 (84.0%) |
| Yes | 13 (26.5%) | 8 (9.8%) | 21 (16.0%) |
Fig. 1.Number of patients admitted and discharged.
Fig. 2.Risk factors for time to hospital discharge by univariable Kaplan−Meier survival analysis.
Fig. 3.Risk factors for longer hospitalisation of COVID-19: hazard ratios from Cox regression model.