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Preisolation measures and clinical features for pediatric patients with suspicious COVID‐19
- Source :
- Health Science Reports, Vol 6, Iss 5, Pp n/a-n/a (2023)
- Publication Year :
- 2023
- Publisher :
- Wiley, 2023.
-
Abstract
- Abstract Background In December 2019, many cases of COVID‐19 were reported in Wuhan City, Hubei Province, China. In the following 3 months, the disease out broke in China. Preisolation measures was used to screen out COVID‐19 patients in the pediatric respiratory ward of our hospital. Aims To investigate the new measures for screening COVID‐19 patients and to analyze the clinical features of children with suspicious COVID‐19. Methods A total of 50 preisolated children with suspicious COVID‐19 who were admitted to our hospital in Mianyang, China, between January 28 and March 5, 2020, were included. Patients presented with fever and cough or fever accompanied by vomiting and diarrhea. A detailed epidemiological history screening was performed. A real‐time reverse‐transcriptase–polymerase‐chain‐reaction (RT‐PCR) was used to detect SARS‐COV‐2 nucleic acid. Low‐dose chest computed tomography (CT) was applied when pneumonia was suspicious. Routine blood tests were performed to rule out COVID‐19. Patients' data were collected, and the basic clinical features, epidemiological history, clinical manifestations, auxiliary examination results, and outcomes were analyzed and summarized. Results No definite cases were detected, while two patients were suspected of having COVID‐19. The pathogenic results of the 50 patients mainly included Mycoplasma pneumoniae, followed by Epstein–Barr virus, and rotavirus. Thirty‐five patients suffered from bronchopneumonia. The preisolated patients had similar clinical and epidemiological characteristics as patients with fever, cough, vomiting, and diarrhea. Conclusions Preisolation measures combined with pathogen screening can minimize the risk of hospital‐acquired infections by preventing patients with suspicious COVID‐19 from contacting other patients before they are explicitly excluded. Clinical analysis of the patients was helpful for clinical nursing management.
Details
- Language :
- English
- ISSN :
- 23988835
- Volume :
- 6
- Issue :
- 5
- Database :
- Directory of Open Access Journals
- Journal :
- Health Science Reports
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.243fe970fb498f8d1b3b393ca4051d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1002/hsr2.1225