Electrical Impedance Tomography-Based Dynamic Ventilation-Perfusion Functional Phenotype Trajectory in Acute Respiratory Distress Syndrome

Acute Respiratory Distress Syndrome (ARDS) is characterized by severe hypoxemia and extensive lung injury. Recent studies indicate that lung functional phenotypes - particularly the distribution and evolution of lung perfusion - may be closely related to patient outcomes. Electrical impedance tomography (EIT) offers non-invasive, bedside, real-time monitoring of lung perfusion patterns and enables classification into distinct phenotypes and trajectory types over the course of illness. To date, limited data exist on perfusion phenotype trajectories in ARDS patients and their relationship with clinical outcomes. This study seeks to characterize dynamic lung dynamic ventilation-perfusion functional Phenotype using EIT and explore their prognostic significance. Objectives Primary Objective: To identify lung perfusion phenotype trajectories in ARDS patients using EIT and assess their association with 28-day mortality. Secondary Objectives: * To determine the relationship between different trajectory types and improvements in oxygenation and respiratory mechanics. * To investigate how ventilator settings (PEEP, driving pressure) interact with perfusion changes. * To support individualized mechanical ventilation strategies based on Ventilation-Perfusion Functional Phenotype monitoring