A novel index for trending sepsis and inflammatory response using processed EEG and Heart Rate Variability
Authors' conclusion
The TSI distinguishes between baseline, post-surgical inflammatory, and septic states.
Study context
- Population
- Surgical patients undergoing GA and septic patients admitted to the ICU
- Comparison
- Trend of Sepsis and Inflammation (TSI) values across awake baseline, post-surgical inflammation and sepsis
- Post-surgeryn = 41
- Sepsisn = 21
- Primary endpoint
- Trend of Sepsis and Inflammation (TSI) index (HRV and EEG-derived parameters integrated by Adaptive Neuro-Fuzzy Inference System (ANFIS))
Methodological detailstwo cohorts, Continuous EEG and ECG recordings with a multimodal monitoring system; non-parametric tests
- Two cohorts
- Continuous EEG and ECG recordings with a multimodal monitoring system; non-parametric tests
Primary result
As reported in the abstract
TSI
Baseline
2.29
median · IQR 0.00–13.74
Post-surgery
24.68
median · IQR 18.50–32.00
Sepsis
65.59
median · IQR 52.38–76.25
P < 0.0001
- Discriminative ability (Pk)
- 93.58%
- Overall concordance with predefined interpretation ranges
- 92.6%
Further findings
Heart rate variability (HRV) spectrograms and EEG-compensated analyses
- Supported physiological consistency
Original publication
A novel index for trending sepsis and inflammatory response using processed EEG and Heart Rate Variability. J Clin Monit Comput. Published 24 July 2026. doi:10.
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