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联合脑氧饱和度和神经元特异性烯醇化酶评估对脓毒症相关性脑病的诊断及预后分析

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

作者信息

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

机构信息

Department of Intensive Care Unit, The Fourth Hospital of Hebei Medical University, No. 12 of Jiankang Road, Changan District, Shijiazhuang, 050011, China.

Department of Anesthesiology, Hebei General Hospital, Shijiazhuang, China.

出版信息

Sci Rep. 2025 May 2;15(1):15369. doi: 10.1038/s41598-025-00353-3.

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.

摘要

脓毒症相关性脑病(SAE)是脓毒症一种严重的神经并发症,其特征为高死亡率和认知障碍。尽管具有临床意义,但SAE缺乏有效的诊断和预后评估工具。本研究评估神经元特异性烯醇化酶(NSE)和局部脑氧饱和度变异性(rSO₂%)作为诊断和预测SAE指标的预测价值。一项前瞻性观察性研究纳入了70例脓毒症患者,分为SAE组和非SAE组。在收集临床数据和28天死亡率结果的同时,测定血清NSE水平和rSO₂%。NSE和rSO₂%被确定为SAE的独立指标(P < 0.05)。与单一指标相比,联合分析具有更高的诊断准确性,ROC曲线下面积为0.749。Kaplan-Meier生存分析显示,NSE水平升高和rSO₂%增加与28天生存率显著降低相关(P < 0.001)。这些发现表明,NSE和rSO₂%是诊断和预测SAE的有价值指标。它们的联合应用显著提高了诊断效能,为个性化早期干预策略提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b888/12048628/b6a88b81f521/41598_2025_353_Fig1_HTML.jpg

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