ArticleJournal of molecular neuroscience : MN2020
Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies.
Article in Journal of molecular neuroscience : MN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- The role of NSE/GCS ratio on the seventh day as an independent predictor of 90-day outcomes in patients with severe traumatic brain injury.Journal of medical biochemistry · 2026Article
- Efficacy of repetitive transcranial magnetic stimulation for consciousness recovery in children with disorders of consciousness following traumatic brain injury.Frontiers in neurology · 2025Article
- Performance of plasma von Willebrand factor in acute traumatic brain injury: relations to severity, CT findings, and outcomes.Frontiers in neuroscience · 2023Article
- Risk Prediction Models for Invasive Mechanical Ventilation in Patients with Autoimmune Encephalitis: A Retrospective Cohort Study.Journal of immunology research · 2023Article
- The Evaluation of the Neuroprotective Effect of a Single High-Dose Vitamin DStroke research and treatment · 2022Article
- Risk Factors and Brain Metabolic Mechanism of Sleep Disorders in Autoimmune Encephalitis.Frontiers in immunology · 2021Article
- Prediction of Neurocognitive Outcome after Moderate-Severe Traumatic Brain Injury Using Serum Neuron-Specific Enolase and S100 biomarkers.Journal of medicine and lifeArticle
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6 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
In predicting outcomes in patients with acute brain injury, current practice focuses special attention on neuron-specific proteins that reliably reflect the severity of the lesion. Further studies of molecular markers and their specificity and sensitivity could contribute to broadening the understanding of pathophysiological, diagnostic, and prognostic methods, which is vital to reducing the mortality and disability associated with these critical conditions. The purpose of this study was to assess the biomarkers of brain lesions and their correlative relations with the integral Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) in predicting severity and treatment outcomes in patients with acute neuropathologies. Ninety patients were examined, including those with traumatic brain lesions (16.6%, n = 15), hemorrhagic stroke (52.2%, n = 47), and ischemic stroke (31.1%, n = 28). Patients were classified into two groups according to the outcome of the disease: those who survived (group I, 57.8%, n = 52) and those who died (group II, 42.2%, n = 38). In comparison with the survivors, the group of patients who died demonstrated an initial increase in neuron-specific enolase (NSE) by 1.23 and S100 by 6.45 times, and in dynamics by 1.5 and 7.4 times. A significant correlation with NIHSS and GCS was determined for NSE (r = 0.1149; P = 0.3073 and r = -0.0758; P = 0.5011) and for S100 (r = 0.3243; P = 0.0031 and r = -0.2661; P = 0.0163). The receiver operating characteristic (ROC) curves were 0.828 for S100 and 0.712 for NSE. The degree of sensitivity and specificity of the markers was studied. Increased levels of S100 and NSE correlated with NIHSS and GCS, with sensitivity of 80.77 and 63.46% and specificity of 42.11 and 73.68%, respectively, and were predictive of adverse disease outcome. The survival analysis showed that early detection of these biomarkers enables the timely prognostication of the progression of secondary brain injury and aids in implementing treatment.
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