Early Physiological Trajectory-Based Phenotyping in Surgical Intensive Care Unit Patients: A Gaussian Mixture Modeling Approach Integrating Temperature, Central Venous Pressure, Fluid Balance, and Glycemic Dynamics
This retrospective study utilized Gaussian Mixture Modeling on the first 72 hours of multidimensional physiological data from 3,493 surgical ICU patients to identify five distinct trajectory phenotypes that reveal clinically meaningful subgroups with varying disease severity and resource utilization patterns, including a unique high-risk, zero-mortality group characterized by advanced age and compensated physiology.