| Literature DB >> 33062702 |
Baiwen Qi1, Haiheng Peng1, Kangquan Shou2, Zhengyu Pan1, Min Zhou1, Rui Li3, Liping Deng4, Jun Shen5, Xin Rao6, Aixi Yu1.
Abstract
OBJECTIVE: To understand how to implement proactive prevention measures among healthcare professionals for preventing potential nosocomial infection.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33062702 PMCID: PMC7547348 DOI: 10.1155/2020/8469560
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Demographics and baseline characteristics of cases with COVID-19.
| Characteristics | No. (%), Total ( |
|---|---|
| Age, median (IQR), yr | 37.0 (30.0–46.0) |
| Sex | |
| Male | 34 (37.4%) |
| Female | 57 (62.6%) |
| Occupation | |
| Doctor | 50 (54.9%) |
| Nurse | 38 (41.8%) |
| Othersa | 3 (3.3%) |
| Chronic medical illness | |
| Hypertension | 2 (2.2%) |
| Diabetes | 1 (1.1%) |
| HBV(hepatitis B) | 1 (1.1%) |
| Diagnostic method | |
| RT-PCR assay | 77 (84.6%) |
| Chest CT scan | 14 (15.4%) |
| Treatment | |
| Outpatient | 35 (38.5%) |
| Hospitalization | 56 (61.5%) |
aOthers: laboratory technicians, emergency medical personnel; percentages may not have a total of 100 because of rounding.
Epidemiological and transmission characteristics of the COVID-19 infection among healthcare professionals.
| Characteristics | COVID-19 infection cases, no. (%), total ( | ||
|---|---|---|---|
| Before Jan 20 ( | After Jan 20 ( | Total | |
| Occupation | |||
| Doctor | 27 (54.0%) | 20 (48.8%) | 47 (51.6%) |
| Nurse | 17 (34.0%) | 14 (34.1%) | 31 (34.1%) |
| Othersa | 6 (12.0%) | 7 (17.1%) | 13 (14.3%) |
| Clinical classifications | |||
| Uncomplicated illness | 15 (30.0%) | 14 (34.1%) | 29 (31.9%) |
| Mild | 32 (64.0%) | 26 (63.4%) | 58 (63.7%) |
| Severe | 3 (6.0%) | 1 (2.4%) | 4 (4.4%) |
| Direct contact history with patients | |||
| Confirmed | 36 (72.0%) | 37 (90.2%) | 73 (80.2%) |
| Negative | 14 (28.0%) | 4 (8.8%) | 18 (19.8%) |
| Types of exposure situation | |||
| Direct care without aerosol-generating procedure | 28 (56.0%) | 4 (9.8%) | 32 (35.2%) |
| Airway suction | 12 (24.0%) | 9 (22.0%) | 21 (23.1%) |
| Intubation | 5 (10.0%) | 10 (24.4%) | 15 (16.5%) |
| Manual ventilation | 4 (8.0%) | 15 (36.6%) | 19 (20.9%) |
| Cardiopulmonary resuscitation | 1 (2.0%) | 3 (7.3%) | 4 (4.4%) |
| Protection grade | |||
| No protective measure | 43 (86.0%) | 0 | 43 (47.3%) |
| Grade I | 6 (12.0%) | 30 (73.2%) | 36 (39.6%) |
| Grade II | 1 (2.0%) | 6 (14.6%) | 7 (17.1%) |
| Grade III | 0 | 5 (12.2%) | 5 (12.2%) |
aOthers: laboratory technicians, emergency medical personnel.
Figure 1The epidemic curve of COVID-19 among health care professionals from the Zhongnan Hospital of Wuhan University. The numbers of possible COVID-19 infections were speculative, according to the median incubation period calculated in our study.
Laboratory findings and radiographic characteristics of cases with COVID-19.
| Characteristics | No. (%), total ( |
|---|---|
| Median incubation period (IQR, days) | 3.0 (2.0-6.0) |
| Median body temperature (IQR, °C) | 37.8 (37.4-38.4) |
| Signs and symptoms | |
| Fever | 66 (72.5%) |
| Cough | 54 (59.3%) |
| Fatigue | 17 (18.7%) |
| Diarrhoea | 1 (1.4%) |
| Palpitation | 1 (1.4%) |
| CT findings | |
| Ground-glass opacity or bilateral patchy shadowing | 78 (85.6%) |
| Bilateral pneumonia | 8 (8.8%) |
| Unilateral pneumonia | 2 (2.2%) |
| Pulmonary nodule | 1 (1.1%) |
| No obvious abnormalities | 2 (2.2%) |
| Initial positive rate | 77 (84.6%)∗ |
| RT-PCR assay | |
| Positive | 77 (84.6%) |
| Weakly positive | 5 (5.5%) |
| Suspected | 6 (6.6%) |
| Negative | 3 (3.3%) |
| Initial positive rate | 44 (48.4%) |
| Laboratory results | |
| Leucocytes count (×109/L, normal range 3.5–9.5) | |
| Increased | 0 |
| Normal | 48 (52.7%) |
| Decreased | 43 (47.3%) |
| Lymphocytes count (×109/L, normal range 1.1-3.2) | |
| Increased | 0 |
| Normal | 32 (35.1%) |
| Decreased | 59 (64.8%) |
Abbreviations: IQR: interquartile range; CT: computed tomography; RT-PCR: real-time reverse transcriptase polymerase chain reaction. Percentages may not have a total of 100 because of rounding. Compared with the initial positive rate of RT-PCR, ∗P < 0.01.
Figure 2Chest computed tomographic images of three cases infected with COVID-19. (a, b) Computed tomography images of case A obtained on the onset of illness and the admission, respectively. (c, d) Computed tomography images of case B taken before and after the treatment, respectively. (e, f) Computed tomography images of case C indicated the development of the pneumonia.
Treatment and outcome of cases infected with COVID-19.
| Time from onset to admission, days (IQR) | 4.0(2.0–7.0) |
|---|---|
| Treatment | No. (%), total ( |
| Antiviral treatment | 47 (83.9%) |
| Glucocorticoids | 9 (16.1%) |
| Traditional Chinese medicine | 39 (69.6%) |
| Adjuvant therapya | 24 (42.9%) |
| Outcome | No. (%), total ( |
| Discharged | 51 (91.1%) |
| Remained in hospital | 5 (8.9%) |
| Died | 0 (0%) |
| Hospital stays, days (IQR) ( | 12.0 (8.0-16.0) |
| Distribution of hospital stays | No. (%), total ( |
| 1~5 | 3 (5.3%) |
| 6~10 | 21 (37.5%) |
| 11~15 | 16 (28.6%) |
| 16~20 | 9 (16.1%) |
| 21~25 | 1 (1.8%) |
| 25~28 | 1 (1.8%) |
Abbreviations: IQR: interquartile range; aAdjuvant therapy: thymopeptide or immunoglobulin. Percentages may not have a total of 100 because of rounding.