Evidence mapPaperPMID 42496808Full record

ArticleJournal of clinical monitoring and computing2026

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

Jaume Millán I Ichon, Montserrat Vallverdú-Ferrer, Erik Weber Jensen, Carolina Frederico Avendaño, Joy Nnagbo, Laia Yébenes-Serra, Michel M R F Struys, Gertrude J Nieuwenhuijs-Moeke

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Article in Journal of clinical monitoring and computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

8 authors.

Jaume Millán I IchonInstitute for Research and Innovation in Health (IRIS), School of Industrial Engineering of Barcelona (ETSEIB), Universitat Politècnica de Catalunya (UPC), CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain. jaume.millan.i@upc.edu.
Montserrat Vallverdú-FerrerInstitute for Research and Innovation in Health (IRIS), School of Industrial Engineering of Barcelona (ETSEIB), Universitat Politècnica de Catalunya (UPC), CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain.
Erik Weber JensenBiomedical engineering, School of Industrial Engineering of Barcelona (ETSEIB) - UPC, Barcelona, Spain.
Carolina Frederico AvendañoHospital Quirón Barcelona (Grupo Quirónsalud), Barcelona, Spain.
Joy NnagboAnaesthesiology department, National Hospital Abuja, Abuja, Nigeria.
Laia Yébenes-SerraInstitute for Research and Innovation in Health (IRIS), School of Industrial Engineering of Barcelona (ETSEIB), Universitat Politècnica de Catalunya (UPC), CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain.
Michel M R F StruysDepartment of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
Gertrude J Nieuwenhuijs-MoekeDepartment of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of systemic inflammation and sepsis is essential for improving patient outcomes. Heart rate variability (HRV) has been proposed as a non-invasive marker of inflammation; however, its specificity is limited, particularly under anesthesia or sedation. This study introduces the Trend of Sepsis and Inflammation (TSI), a novel index combining HRV and electroencephalogram (EEG)-derived parameters to better isolate inflammation-related autonomic changes.A post-hoc observational analysis was conducted in two cohorts: surgical patients undergoing general anesthesia (N = 41) and septic patients admitted to the intensive care unit (N = 21). Continuous EEG and ECG recordings were obtained using a multimodal monitoring system. HRV parameters from time and frequency domains, together with an EEG-derived Brain Activity Index, were integrated using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to compute the TSI. TSI values were compared across three conditions: awake baseline, post-surgical inflammation, and sepsis. Statistical analysis employed non-parametric tests, while discriminative performance was assessed using prediction probability (Pk) and concordance with predefined interpretation ranges.TSI values increased progressively across conditions. Median values were 2.29 (IQR: 0.00-13.74) at baseline, 24.68 (18.50-32.00) post-surgery, and 65.59 (52.38-76.25) in sepsis, with significant differences (p < 0.0001). The TSI demonstrated strong discriminative ability (Pk = 93.58%) and high overall concordance (92.6%). HRV spectrograms and EEG-compensated analyses supported physiological consistency.The TSI distinguishes between baseline, post-surgical inflammatory, and septic states. By compensating for anesthesia-related autonomic suppression, it provides a continuous, non-invasive measure of inflammatory burden, supporting its potential use in perioperative and critical care settings. Further validation against established biomarkers is warranted.

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adaptive neuro-fuzzy inference systemautonomic nervous systemelectroencephalographyheart rate variabilitysepsissystemic inflammation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.