Estimating dead space ventilation: a computational modelling approach towards evaluation of clinical estimates of dead space fraction in critically ill patientsTools Naeem, Usra (2018) Estimating dead space ventilation: a computational modelling approach towards evaluation of clinical estimates of dead space fraction in critically ill patients. PhD thesis, University of Nottingham.
AbstractDead space is the part of tidal volume that does not participate in gas exchange and represents wasted ventilation. It is often increased in pulmonary diseases. Quantification of dead space by the original Bohr’s equation requires measuring mean alveolar pressure of CO2 (PACO2) and mixed expired partial pressure of CO2 (PĒCO2). Because of the difficulties and technical issues related with measuring PACO2 and PĒCO2, alternative methods have been proposed for the estimation of dead space. This thesis attempts to explore the performance of some methods proposed for the estimation of dead space to tidal volume ratio (VD/VT) in different pulmonary configurations and clinical scenarios.
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