Evidence map›Paper›PMID 40655488›Full record

ArticleClinical neurophysiology practice2025

Age-dependent changes in the power spectrum conflate composite scores to assess brain frailty.

Julian Ostertag, Aleksandra Migal, David P Obert, Gerhard Schneider, Pablo Sepúlveda, Matthias Kreuzer

Abstract read
In one paragraph

Article in Clinical neurophysiology practice, 2025. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Julian OstertagDepartment of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.
Aleksandra MigalDepartment of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.
David P ObertDepartment of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.
Gerhard SchneiderDepartment of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.
Pablo SepúlvedaDepartment of Anesthesiology, Hospital Base San José, Universidad Austral, Av. Guillermo Bühler 1765, Osorno, Chile.
Matthias KreuzerDepartment of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, Munich 81675, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Evaluating age-related dependencies in the electroencephalogram (EEG) during induction of general anesthesia and their impact on composite scores used to assess frailty. Methods: A composite score was derived from spectral edge frequency, total power, alpha power, and the effect-site concentration (Ce) of propofol. All these parameters are influenced by age, brain health, and dosage and speed of drug administration. Correlation coefficients and variance inflation factors were used to determine multicollinearity. Differences in the spectral EEG features of patients with "high" and "low" composite scores were assessed by the area under the receiver operator characteristic curve (AUC) as the statistical test. Results: The EEG features, total power and alpha power, were strongly correlated ( Conclusion: Patient age significantly influences EEG-based parameters within the score. Importantly, significant differences in spectral EEG features between the groups were already observable before LOR. These differences could allow for early assessment of a patient's brain state and to titrate anesthetic dose before LOR. The study also shows that age should be considered as it can drive models for "frailty". Significance: Age moderately influenced all subcomponents and should consequently be factored into score interpretation.

Indexed as

AgeAnesthesiaEEGSpectral powerTCI

Identifiers

PMID40655488
PMCPMC12246862

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