Combined cerebral oxygen saturation and neuron-specific enolase evaluation for diagnosis and prognosis of sepsis-associated encephalopathy

Combined cerebral oxygen saturation and neuron-specific enolase evaluation for diagnosis and prognosis of sepsis-associated encephalopathy

Abstract Sepsis-associated encephalopathy (SAE) represents a severe neurological complication in sepsis, characterized by high mortality and cognitive impairment. Although clinical significance, SAE lacks effective diagnostic and prognostic tools. This study evaluates the predictive value of neuron-...

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Bibliographic Details
Main Authors: Qian Zhang, Xujie Zhang, Yi Li, Lingwei Zeng, Runyin Zhu, Yan Xin, Lixia Liu, Zhenjie Hu, Yan Huo
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Sepsis-associated encephalopathy(SAE)
Neuron-specific enolase(NSE)
Regional cerebral oxygen saturation(rSO₂)
Egional cerebral oxygen saturation variability (rSO₂%)
Prognosis
Diagnosis
Online Access:https://doi.org/10.1038/s41598-025-00353-3
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Summary:Abstract Sepsis-associated encephalopathy (SAE) represents a severe neurological complication in sepsis, characterized by high mortality and cognitive impairment. Although clinical significance, SAE lacks effective diagnostic and prognostic tools. This study evaluates the predictive value of neuron-specific enolase (NSE) and regional cerebral oxygen saturation variability (rSO₂%) as indicators for diagnosing and prognosing SAE. A prospective observational study enrolled 70 sepsis patients, classified into SAE and non-SAE groups. Serum NSE levels and rSO₂% were measured alongside clinical data and 28-day mortality outcomes. NSE and rSO₂% were identified as independent indicators of SAE (P < 0.05). Combined analysis achieved a higher diagnostic accuracy, with an area under the ROC curve of 0.749, compared to single indicators. Kaplan-Meier survival analysis reveals that elevated NSE levels and increased rSO₂% are associated with significantly reduced 28-day survival (P < 0.001). These findings suggest that NSE and rSO₂%are valuable indicators for the diagnosis and prognosticating SAE. Their combined application significantly improves diagnostic efficacy, providing a basis for personalized early intervention strategies.
ISSN:2045-2322

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