Unknown

Dataset Information

Validation of a novel system to assess end-expiratory lung volume and alveolar recruitment in an ARDS model.


ABSTRACT:

Background

Personalizing mechanical ventilation requires the development of reliable bedside monitoring techniques. The multiple-breaths nitrogen washin-washout (MBNW) technique is currently available to measure end-expiratory lung volume (EELVMBNW), but the precision of the technique may be poor, with percentage errors ranging from 28 to 57%. The primary aim of the study was to evaluate the reliability of a novel MBNW bedside system using fast mainstream sensors to assess EELV in an experimental acute respiratory distress syndrome (ARDS) model, using computed tomography (CT) as the gold standard. The secondary aims of the study were: (1) to evaluate trending ability of the novel system to assess EELV; (2) to evaluate the reliability of estimated alveolar recruitment ind

SUBMITTER: Bitker L 

PROVIDER: S-EPMC8428961 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature