Hospital acquired infection in hyperbaric oxygen department during the prevention and control period of COVID-19 pandemic: a single-center report
10.3760/cma.j.cn311847-20201020-00399
- VernacularTitle:新型冠状病毒肺炎疫情防控期间高压氧病房医院感染现状：单中心报告
- Author:
Guoxing WANG
1
;
Yinzhi LI
1
;
Min LI
1
;
Xia WANG
1
;
Xingming PAN
1
;
Zhiqiang GAO
1
Author Information
1. 211100 南京，南京紫金医院
- Publication Type:Journal Article
- Keywords:
COVID-19;
Hospital acquired infections;
Hyperbaric oxygen
- From:
Chinese journal of nautical medicine and hyperbaric medicine
2021;28(5):656-658
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate hospital acquired infection (HAI) in hospitalized patients who were mainly treated with hyperbaric oxygen (HBO) during the period when the whole society and the hospital were in level one public health emergency response to COVID-19.Methods:The HAI incidence and infectious pathogen test results of 138 patients (the observation group) who were given HBO therapy in Nanjing Zijin Hospital in February 2020, the period of level one public health emergency response to COVID-19, were collected, and they were analyzed in year-on-year comparison with the corresponding data of the 133 patients (the control group I) admitted to the hospital in February 2019, and in month-on-month comparison with the corresponding data of the 213 patients (the control group II) admitted to the hospital in December 2019.Results:The HAI incidence of the observation group (10.87%) was about 5% lower than that (15.04%) in the control group I and that (15.02%) in the control group II, but there was no statistical difference ( χ2=1.43, P=0.49). The pathogens detected in the observation group were pseudomonas aeruginosa, acinetobacter baumannii, and serratia marcescens, which were less than those detected in the control group II. Conclusion:Strict social isolation and ward infection control measures can effectively reduce HAI incidence in patients given HBO therapy, but the reliability of such measures needs further demonstration by multi-center and large-sample data.
