Use of an innovative cuff pressure control and subglottic secretions drainage system in COVID-19 ARDS patients undergoing pronation
| Autor: | Tanzarella, Es, Lombardi, G, Baroni, S, Sarlo, F, Cutuli, Sl, Carelli, Simone, Cesarano, M, Gennenzi, V, Pintaudi, G, Vargas, J, Dell'Anna, Antonio Maria, Grieco, Dl, Urbani, A, Antonelli, M, De Pascale, Gennaro |
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| Rok vydání: | 2022 |
| Předmět: |
Respiratory Distress Syndrome
Acute respiratory distress syndrome COVID-19 Pneumonia Ventilator-Associated Equipment Design Critical Care and Intensive Care Medicine Pepsin A Intensive Care Units Settore BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA Continuous cuff pressure control Subglottic secretion drainage Intubation Intratracheal Ventilator-associated pneumonia Humans Microaspiration Pronation alpha-Amylases |
| Zdroj: | Critical care (London, England). 26(1) |
| ISSN: | 1466-609X |
| Popis: | We conducted a proof of concept study where Anapnoguard endotracheal tubes and its control unit were used in 15 patients with COVID-19 acute respiratory distress syndrome. Anapnoguard system provides suction, venting, rinsing of subglottic space and controls cuff pressure detecting air leakage through the cuff. Alpha-amylase and pepsin levels, as oropharyngeal and gastric microaspiration markers, were assessed from 85 tracheal aspirates in the first 72 h after connection to the system. Oropharyngeal microaspiration occurred in 47 cases (55%). Episodes of gastric microaspiration were not detected. Patient positioning, either prone or supine, did not affect alpha-amylase and pepsin concentration in tracheal secretions. Ventilator-associated pneumonia (VAP) rate was 40%. The use of the AG system provided effective cuff pressure control and subglottic secretions drainage. Despite this, no reduction in the incidence of VAP has been demonstrated, compared to data reported in the current COVID-19 literature. The value of this new technology is worth of being evaluated for the prevention of ventilator-associated respiratory tract infections. |
| Databáze: | OpenAIRE |
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