Serum biomarkers as early indicators of outcomes in spontaneous subarachnoid hemorrhage.

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
Anna Maria Auricchio, Giulia Napoli, Giovanni Maria Ceccarelli, Renata Martinelli, Grazia Menna, Marco Obersnel, Luca Scarcia, Andrea Urbani, Alessandro Olivi, Giuseppe Maria Della Pepa, Silvia Baroni
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Abstract

Objectives: Spontaneous subarachnoid hemorrhage (sSAH) is a life-threatening neurological event with high morbidity and mortality. Predicting patient outcomes remains challenging, necessitating novel prognostic tools. This study evaluates the prognostic value of central and systemic serum biomarkers, including S100, neuron-specific enolase (NSE), glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCHL-1), soluble suppression of tumorigenicity 2 (sST2), and soluble urokinase plasminogen activator receptor (suPAR) in acute sSAH.

Methods: A prospective observational study was conducted on 91 sSAH patients admitted to the Emergency Department. Biomarkers were measured 24 h post-admission and correlated with clinical severity using the modified Rankin Scale (mRS) at 24 h and 3 months. Statistical analyses included correlation tests, receiver operating characteristic (ROC) curves, and partial least squares discriminant analysis with 10-fold cross-validation (PLS-DA) to assess predictive accuracy.

Results: Patients with unfavorable outcomes (mRS 3-6) exhibited significantly higher median levels of all biomarkers. GFAP (ρ=0.74, p<0.0001) and S100 (ρ=0.65, p<0.0001) strongly correlated with hemorrhage volume. ROC analysis confirmed GFAP and S100 as the most effective central biomarkers (AUC=0.951), while sST2 demonstrated the highest prognostic sensitivity (97.1 %). PLS-DA further validated the prognostic relevance of sST2, GFAP, and S100.

Conclusions: Early biomarker assessment enhances sSAH prognosis, complementing neuroimaging. GFAP and S100 strongly correlate with brain injury severity, while sST2 predicts 3-months outcomes. Integrating these biomarkers into routine practice may improve early risk stratification and patient management.

血清生物标志物作为自发性蛛网膜下腔出血预后的早期指标。
目的:自发性蛛网膜下腔出血(sSAH)是一种危及生命的神经系统事件,具有很高的发病率和死亡率。预测患者预后仍然具有挑战性,需要新的预后工具。本研究评估了中枢和全身血清生物标志物,包括S100、神经元特异性烯醇化酶(NSE)、胶质纤维酸性蛋白(GFAP)、泛素羧基末端水解酶L1 (UCHL-1)、可溶性致瘤性抑制2 (sST2)和可溶性尿激酶纤溶酶原激活物受体(suPAR)在急性sSAH中的预后价值。方法:对急诊科收治的91例sSAH患者进行前瞻性观察研究。入院后24 h测量生物标志物,并在24 h和3个月时使用改良的Rankin量表(mRS)与临床严重程度相关。统计分析包括相关检验、受试者工作特征(ROC)曲线和偏最小二乘判别分析,采用10倍交叉验证(PLS-DA)来评估预测准确性。结果:预后不良的患者(mRS 3-6)所有生物标志物的中位水平均显著升高。结论:早期生物标志物评估可改善sSAH预后,补充神经影像学检查。GFAP和S100与脑损伤严重程度密切相关,而sST2预测3个月的预后。将这些生物标志物整合到常规实践中可以改善早期风险分层和患者管理。
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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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