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Effects of the Lower Airway Secretions on Airway Opening Pressures and Suction Pressures in Critically Ill COVID-19 Patients: A Computational Simulation.
Chen, Zhenglong; Zhong, Ming; Jiang, Li; Chen, Nanshan; Tu, Shengjin; Wei, Yuan; Sang, Ling; Zheng, Xia; Zhang, Chunyuan; Tao, Jiale; Deng, Linhong; Song, Yuanlin.
  • Chen Z; School of Medical Instrumentation, Shanghai University of Medicine & Health Sciences, 257 Tianxiong Road, Shanghai, 201318, China.
  • Zhong M; Department of Intensive Care Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. zhong_ming@fudan.edu.cn.
  • Jiang L; Department of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, 45 Changchun Street, Xicheng District, Beijing, 100053, China.
  • Chen N; Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, 1 Yintan Road, Dongxihu District, Wuhan, 430023, China.
  • Tu S; Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, 1 Yintan Road, Dongxihu District, Wuhan, 430023, China.
  • Wei Y; Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, 1 Yintan Road, Dongxihu District, Wuhan, 430023, China.
  • Sang L; Department of Critical Care Medicine, GuangZhou Institute of Respiratory Health, The First Affiliated Hospital of GuangZhou Medical University, 151 Yanjiangxi Road, Guangzhou, 510120, China.
  • Zheng X; Department of Critical Care Medicine, The First Affiliated Hospital of Zhejiang University, Hangzhou, 310003, Zhejiang, China.
  • Zhang C; NMPA Key Laboratory for Respiratory and Anaesthetic Equipment, 1 Jinyinhua Road, Shanghai, 201321, China.
  • Tao J; Department of Intensive Care Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
  • Deng L; Changzhou Key Laboratory of Respiratory Medical Engineering, Institute of Biomedical Engineering and Health Sciences, Changzhou University, Changzhou, 213164, Jiangsu, China.
  • Song Y; Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.
Ann Biomed Eng ; 48(12): 3003-3013, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-880328
ABSTRACT
In patients with critically ill COVID-19 pneumonia, lower airways are filled with plenty of highly viscous exudates or mucus, leading to airway occlusion. The estimation of airway opening pressures and effective mucus clearance are therefore two issues that clinicians are most concerned about during mechanical ventilation. In this study we retrospectively analyzed respiratory data from 24 critically ill patients with COVID-19 who received invasive mechanical ventilation and recruitment maneuver at Jinyintan Hospital in Wuhan, China. Among 24 patients, the mean inspiratory plateau pressure was 52.4 ± 4.4 cmH2O (mean ± [SD]). Particularly, the capnograms presented an upward slope during the expiratory plateau, indicting the existence of airway obstruction. A computational model of airway opening was subsequently introduced to investigate possible fluid dynamic mechanisms for the extraordinarily high inspiratory plateau pressures among these patients. Our simulation results showed that the predicted airway opening pressures could be as high as 40-50 cmH2O and the suction pressure could exceed 20 kPa as the surface tension and viscosity of secretion simulants markedly increased, likely causing the closures of the distal airways. We concluded that, in some critically ill patients with COVID-19, limiting plateau pressure to 30 cmH2O may not guarantee the opening of airways due to the presence of highly viscous lower airway secretions, not to mention spontaneous inspiratory efforts. Active airway humidification and effective expectorant drugs are therefore strongly recommended during airway management.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computer Simulation / Respiratory Mechanics / Pulmonary Gas Exchange / SARS-CoV-2 / COVID-19 / Lung / Models, Biological Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Ann Biomed Eng Year: 2020 Document Type: Article Affiliation country: S10439-020-02648-0

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Computer Simulation / Respiratory Mechanics / Pulmonary Gas Exchange / SARS-CoV-2 / COVID-19 / Lung / Models, Biological Type of study: Experimental Studies / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Ann Biomed Eng Year: 2020 Document Type: Article Affiliation country: S10439-020-02648-0