Your browser doesn't support javascript.
loading
Computer simulation clarifies mechanisms of carbon dioxide clearance during apnoea.
Laviola, M; Das, A; Chikhani, M; Bates, D G; Hardman, J G.
Afiliación
  • Laviola M; Anaesthesia and Critical Care, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK. Electronic address: marianna.laviola@nottingham.ac.uk.
  • Das A; School of Engineering, University of Warwick, Coventry, UK.
  • Chikhani M; Anaesthesia and Critical Care, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK; Nottingham University Hospitals NHS Trust, Nottingham, UK.
  • Bates DG; School of Engineering, University of Warwick, Coventry, UK.
  • Hardman JG; Anaesthesia and Critical Care, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK; Nottingham University Hospitals NHS Trust, Nottingham, UK.
Br J Anaesth ; 122(3): 395-401, 2019 Mar.
Article en En | MEDLINE | ID: mdl-30770058
BACKGROUND: Apnoeic oxygenation can come close to matching the oxygen demands of the apnoeic patient but does not facilitate carbon dioxide (CO2) elimination, potentially resulting in dangerous hypercapnia. Numerous studies have shown that high-flow nasal oxygen administration prevents hypoxaemia, and appears to reduce the rate of increase of arterial CO2 partial pressure (PaCO2), but evidence is lacking to explain these effects. METHODS: We extended a high-fidelity computational simulation of cardiopulmonary physiology to include modules allowing variable effects of: (a) cardiogenic oscillations affecting intrathoracic gas spaces, (b) gas mixing within the anatomical dead space, (c) insufflation into the trachea or above the glottis, and (d) pharyngeal pressure oscillation. We validated this model by reproducing the methods and results of five clinical studies on apnoeic oxygenation. RESULTS: Simulated outputs best matched clinical data for model selection of parameters reflecting: (a) significant effects of cardiogenic oscillations on alveoli, both in terms of strength of the effect (4.5 cm H2O) and percentage of alveoli affected (60%), (b) augmented gas mixing within the anatomical dead space, and (c) pharyngeal pressure oscillations between 0 and 2 cm H2O at 70 Hz. CONCLUSIONS: Cardiogenic oscillations, dead space gas mixing, and micro-ventilation induced by pharyngeal pressure variations appear to be important mechanisms that combine to facilitate the clearance of CO2 during apnoea. Evolution of high-flow oxygen insufflation devices should take advantage of these insights, potentially improving apnoeic gas exchange.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Apnea / Simulación por Computador / Dióxido de Carbono Tipo de estudio: Prognostic_studies Idioma: En Revista: Br J Anaesth Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Apnea / Simulación por Computador / Dióxido de Carbono Tipo de estudio: Prognostic_studies Idioma: En Revista: Br J Anaesth Año: 2019 Tipo del documento: Article Pais de publicación: Reino Unido