Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques.

ABSTRACT:

Background

Flow starvation is a type of patient-ventilator asynchrony that occurs when gas delivery does not fully meet the patients' ventilatory demand due to an insufficient airflow and/or a high inspiratory effort, and it is usually identified by visual inspection of airway pressure waveform. Clinical diagnosis is cumbersome and prone to underdiagnosis, being an opportunity for artificial intelligence. Our objective is to develop a supervised artificial intelligence algorithm for identifying airway pressure deformation during square-flow assisted ventilation and patient-triggered breaths.

Methods

Multicenter, observational study. Adult critically ill patients under mechanical ventilation > 24 h on square-flow assisted ventilation were included. As the reference, 5 intensi

SUBMITTER: de Haro C 

PROVIDER: S-EPMC10938655 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature