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Serum Neuroglobin as a Potential Prognostic Biomarker for Cognitive Impairment After Intracerebral Hemorrhage.
- Source :
- Frontiers in Neurology; 4/7/2022, Vol. 13, p1-6, 6p
- Publication Year :
- 2022
-
Abstract
- Objective: Stroke is closely related to dementia, but there are few prospective studies on cognitive decline after stroke in patients with cerebral hemorrhage. Neuroglobin is an oxygen-binding protein mainly expressed in brain neurons. The aim of our current study was to determine whether neuroglobin could serve as a biomarker for cognitive prognosis in patients with intracerebral hemorrhage (ICH). Methods: Three hundred and sixteen patients with ICH were consecutively enrolled in a prospective study. Baseline data such as age and gender of ICH patients on admission were recorded. Serum neuroglobin concentrations were determined by enzyme-linked immunosorbent assay (ELISA). All ICH patients 3 months after onset were divided into post-stroke cognitive impairment group (PSCI) and non-PSCI group according to MoCA assessment results. Results: The PSCI and Non-PSCI groups had serum neuroglobin concentrations of (4.7 ± 0.9) and (7.5 ± 1.1) ng/ml, respectively, with a statistically significant difference between the two groups (p < 0.05). Age, gender, LDL, FBG, SBP, DBP, NHISS, and Hematoma volume were found to be adversely connected with MoCA (p < 0.05), while education, HDL, and serum neuroglobin were found to be positively correlated with MoCA (p < 0.05). After controlling for baseline data, regression analysis revealed that serum neuroglobin was remained an efficient biomarker for predicting cognitive performance in individuals with ICH (p < 0.05). The diagnostic accuracy of blood neuroglobin concentration for PSCI in ICH patients was 72.6%, the sensitivity was 67.4%, and the specificity was 75.5%, according to receiver operating characteristic (ROC) curve analysis. Conclusions: Serum neuroglobin may serve as a potential biomarker to predict cognitive decline after ICH. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16642295
- Volume :
- 13
- Database :
- Complementary Index
- Journal :
- Frontiers in Neurology
- Publication Type :
- Academic Journal
- Accession number :
- 156201198
- Full Text :
- https://doi.org/10.3389/fneur.2022.885323