| Literature DB >> 32694083 |
Guozhen Li1, Caiying Hu2, Qiong He1, Jing Liu3, Nian Xiong4, Haizhou Wang5.
Abstract
Since the outbreak of novel coronavirus (SARS-CoV-2)-infected pneumonia (COVID-19), numerous medical staff are fighting on the frontline. However, the possibility of occult infection in medical staff is ignored in many recent studies. Herein, we collected data in a COVID-19 designated hospital from January 22, 2020 to March 10, 2020. A total of 33 medical staff had at least one nucleic acid test of throat swab, immunoglobulin G (IgG) or IgM serum antibody test, and chest computed tomography (CT), were enrolled. Finally, we identified 25 cases (75.8%) were isolated for hospitalized treatment after positive virus detection. In addition, 4 cases who were all negative for nucleic acid test detection with no clinical symptoms, and none of their chest CT were abnormal. However, the results of serum IgG or IgM antibody test in these 4 cases were positive, suggesting the presence of occult infection. In conclusion, data from our single center indicated that SARS-CoV-2 had a high medical infection rate (29/33 = 87.9%) and might have a potential risk of occult infection.Entities:
Keywords: COVID-19; Medical staff; Occult infection; SARS-CoV-2
Mesh:
Substances:
Year: 2020 PMID: 32694083 PMCID: PMC7359789 DOI: 10.1016/j.jiph.2020.07.005
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
The basic information of 33 subjects.
| Patients | Age | Gender | Department | Position |
|---|---|---|---|---|
| 1 | 45 | Male | Orthopedics (turned into fever ward) | Doctor |
| 2 | 38 | Female | Geriatrics (turned into fever ward) | Doctor |
| 3 | 37 | Female | Emergency | Nurse |
| 4 | 42 | Female | Color Doppler Ultrasound Room | Doctor |
| 5 | 29 | Female | Orthopedics (turned into fever ward) | Nurse |
| 6 | 25 | Female | Intensive care unit | Nurse |
| 7 | 47 | Female | Obstetrics and Gynecology (turned into fever ward) | Doctor |
| 8 | 30 | Female | Emergency | Nurse |
| 9 | 30 | Female | Gastroenterology (turned into fever ward) | Doctor |
| 10 | 28 | Female | General Surgery (turned into fever ward) | Nurse |
| 11 | 26 | Female | General Surgery (turned into fever ward) | Nurse |
| 12 | 53 | Male | Cardiology (turned into fever ward) | Doctor |
| 13 | 45 | Female | Intensive care unit | Nurse |
| 14 | 46 | Female | Logistics | Logistics |
| 15 | 37 | Female | Logistics | Logistics |
| 16 | 33 | Female | Pediatrics (turned into fever ward) | Doctor |
| 17 | 36 | Female | Logistics | Logistics |
| 18 | 46 | Male | Pharmacy | Pharmacist |
| 19 | 42 | Male | Logistics | Logistics |
| 20 | 26 | Female | Neurology (turned into fever ward) | Nurse |
| 21 | 57 | Male | Pharmacy | Pharmacist |
| 22 | 38 | Male | Pediatrics (turned into fever ward) | Doctor |
| 23 | 28 | Female | Breast surgery (turned into fever ward) | Nurse |
| 24 | 30 | Female | Orthopedics (turned into fever ward) | Nurse |
| 25 | 43 | Female | Oncology (turned into fever ward) | Doctor |
| 26 | 46 | Female | Endocrinology (turned into fever ward) | Nurse |
| 27 | 48 | Female | Registration | Registration |
| 28 | 55 | Female | Oncology (turned into fever ward) | Doctor |
| 29 | 33 | Female | Outpatient | Nurse |
| 30 | 56 | Male | Radiology (turned into fever ward) | Doctor |
| 31 | 35 | Female | Oncology (turned into fever ward) | Nurse |
| 32 | 24 | Female | Oncology (turned into fever ward) | Nurse |
| 33 | 48 | Female | Registration | Nurse |
Fig. 1The flowchart of analysis procedure.