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[Preventing Infection Measures of COVID-19 Patients during Mechanical Ventilation].
Huang, Tao; Wang, Guoqin; Xu, Qin; Luo, Song.
  • Huang T; Department of Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016.
  • Wang G; Department of Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016.
  • Xu Q; Department of Geriatrics, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010.
  • Luo S; Department of Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016.
Zhongguo Yi Liao Qi Xie Za Zhi ; 44(5): 453-456, 2020 Oct 08.
Article in Chinese | MEDLINE | ID: covidwho-854259
ABSTRACT

OBJECTIVE:

To explore the preventing infection measures of new coronavirus disease 2019(COVID-19) patients during mechanical ventilation, and to provide reference for the safe application of mechanical ventilation.

METHODS:

Retrieved from PubMed, Ovid and other databases, and combined with the application experience of mechanical ventilation were collected to explore the preventing infection measures of COVID-19 patients during mechanical ventilation.

RESULTS:

This paper put forward the preventing infection measures of external circuit, internal circuit, outer surface, filter and special parts in ventilator. The preventing infection measures of sputum suction and nebulization were summarized.

CONCLUSIONS:

The preventing infection measures of COVID-19 patients during mechanical ventilation are successfully completed, which can provide suggestions for the application and maintenance of mechanical ventilation.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Respiration, Artificial / Infection Control / Coronavirus Infections / Pandemics Type of study: Reviews Limits: Humans Language: Chinese Journal: Zhongguo Yi Liao Qi Xie Za Zhi Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Respiration, Artificial / Infection Control / Coronavirus Infections / Pandemics Type of study: Reviews Limits: Humans Language: Chinese Journal: Zhongguo Yi Liao Qi Xie Za Zhi Year: 2020 Document Type: Article