A novel index for trending sepsis and inflammatory response using processed EEG and Heart Rate Variability

Description

Jaume Millán i Ichon and colleagues introduce a Trend of Sepsis and Inflammation index that blends brain-wave and heart-rate signals to track inflammatory burden continuously. Their 2026 post-hoc analysis works in two groups: forty-one surgical patients under general anesthesia and twenty-one septic intensive care patients. Heart rate variability alone loses specificity under sedation, so the brain signal compensates.

A neuro-fuzzy system fused variability measures with an EEG-derived brain activity index into one score. Values climbed in clear steps across the three states studied: low at awake baseline, middling after surgery, and high in sepsis. The medians ran roughly two, twenty-five, and sixty-six in the reported results. The index separated the states with strong probability and over ninety percent concordance with expected ranges. The authors propose bedside monitoring use, pending validation against standard biomarkers.

Catalog record

Source: https://europepmc.org/article/MED/PMC13562165