Elucidating the causal relationship of mechanical power and lung injury: a dynamic approach to ventilator management.

ABSTRACT:

Background

Mechanical power (MP) serves as a crucial predictive indicator for ventilator-induced lung injury and plays a pivotal role in tailoring the management of mechanical ventilation. However, its application across different diseases and stages remains nuanced.

Methods

Using AmsterdamUMCdb, we conducted a retrospective study to analyze the causal relationship between MP and outcomes of invasive mechanical ventilation, specifically SpO₂/FiO₂ ratio (P/F) and ventilator-free days at day 28 (VFD28). We employed causal inferential analysis with backdoor linear regression and double machine learning, guided by directed acyclic graphs, to estimate the average treatment effect (ATE) in the whole population and conditional average treatment effect (CATE) i

SUBMITTER: Wu C 

PROVIDER: S-EPMC11871266 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature