ArticleFrontiers in neurology2025
Study on the predictive value of early microcirculation perfusion indicators combined with neuroelectrophysiological monitoring for the occurrence and prognosis of sepsis-associated encephalopathy in neurocritical care patients.
Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Risk factors and development of a prediction model for hematoma expansion in elderly patients with spontaneous intracerebral hemorrhage.Frontiers in aging neuroscience · 2026Article
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Abstract
Background: Sepsis-associated encephalopathy (SAE) is a common neurological complication in neurocritical care units, characterized by diffuse brain dysfunction without direct central nervous system infection. Early identification and prognosis assessment remain challenging due to the lack of specific diagnostic criteria. Objective: To evaluate the predictive value of early microcirculation perfusion indicators combined with neuroelectrophysiological monitoring for the occurrence and prognosis of SAE in neurocritical care patients. Methods: This prospective observational study enrolled 200 neurocritical care patients with sepsis over a 2-year period. Sublingual microcirculation was assessed using sidestream dark field (SDF) videomicroscopy, measuring perfused vessel density (PVD), microvascular flow index (MFI), and perfused boundary region (PBR). Continuous electroencephalography (cEEG) monitoring was performed for 72 h. Serum biomarkers including neuron-specific enolase (NSE) and S100 calcium-binding protein B (S100B) were measured at admission and serially. The primary outcome was the development of SAE, and secondary outcomes included 28-day mortality and neurological function at 90 days. Results: Among 200 patients, 134 (67%) developed SAE. Patients with SAE showed significantly reduced PVD (8.2 ± 2.1 vs. 12.4 ± 2.8 mm/mm Conclusion: The combination of early microcirculation perfusion indicators with neuroelectrophysiological monitoring provides excellent predictive value for SAE occurrence and prognosis in neurocritical care patients. This multimodal approach may facilitate early identification and risk stratification.
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