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<p>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 (<i>P</i> &lt; 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 (<i>P</i> &lt; 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月2日

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  • Qian Zhang,
  • Xujie Zhang,
  • Yi Li,
  • Lingwei Zeng,
  • Runyin Zhu,
  • Yan Xin,
  • Lixia Liu,
  • Zhenjie Hu,
  • Yan Huo

摘要

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.