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Stroke is a leading cause of death and acquired disability in adults today. Inflammation plays an important role in the pathophysiology of stroke. The peripheral neutrophil-to-lymphocyte ratio (NLR) is an important global inflammatory indicator becoming more mainstream in stroke care. This meta-analysis aims to evaluate the relationship between the baseline NLR and acute ischemic and hemorrhagic stroke, as well as define the clinical significance of NLR in subtypes of ischemic stroke. This meta-analysis was registered in PROSPERO with the number CRD42018105305. We went through relevant articles from PubMed Central (PMC) and EMBASE. Prospective and retrospective studies were included if related to baseline NLR levels prior to treatment in patients with ischemic or hemorrhagic stroke. Studies were identified up until April 2019. The cutoff value for NLR and the sources of odds ratios (ORs)/risk ratios (RRs) were measured. Modified Rankin Scale (mRS) was used to investigate the outcomes during clinical follow-up. Predefined criteria were used to evaluate the risk of bias in eligible studies. -values < 0.05 were considered statistically significant. STATA version 14.0 (STATA, College Station, TX) was used in all statistical analyses. Thirty-seven studies with 43,979 individuals were included in the final analysis. Higher NLR levels were correlated with increased risk of ischemic stroke (ORs/RRs = 1.609; 95% CI = 1.283-2.019), unfavorable functional outcome at 3 months (ORs/RRs = 1.851; 95% CI = 1.325-2.584), and increased mortality in patients with ischemic stroke (ORs/RRs = 1.068; 95% CI = 1.027-1.111). While in terms of hemorrhagic stroke (including SAH and ICH), elevated NLR levels only had deleterious effects on mortality (ORs/RRs = 1.080; 95% CI = 1.018-1.146). Baseline NLR level is a promising predictor of the clinical outcomes in both ischemic and hemorrhagic stroke. In addition, elevated NLR is also associated with a high risk of ischemic stroke occurrence. However, future studies are needed to demonstrate the underlying mechanisms and further explain this association.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787274 | PMC |
http://dx.doi.org/10.3389/fneur.2019.01032 | DOI Listing |
Mol Biol Rep
September 2025
Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Transl Stroke Res
September 2025
Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Recent studies have shown that the glymphatic system plays a crucial role in driving hyperacute edema after ischemic stroke. This has sparked interest in understanding how this system changes in later phases of ischemic stroke. In this study, we utilized cisternal contrast-enhanced magnetic resonance imaging (CE-MRI) and immunofluorescence staining to investigate glymphatic system alterations at subacute and chronic phases of ischemic stroke.
View Article and Find Full Text PDFQual Life Res
September 2025
Centre for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, 600077, India.
Acta Neurochir (Wien)
September 2025
Department of Neurosurgery, Medical University of Gdańsk, Gdańsk, Poland.
Purpose: Moyamoya disease (MMD) is a chronic cerebrovascular disorder characterized by progressive arterial stenosis and fragile collateral formation, elevating stroke risk. Revascularization is the standard treatment, yet up to 27% of patients experience ischemic events within a year due to bypass insufficiency. While digital subtraction angiography (DSA) remains the gold standard for assessing bypass function, it is invasive and time-consuming.
View Article and Find Full Text PDFFunct Integr Genomics
September 2025
The First Clinical Medical College, Yunnan University of Chinese Medicine, Kunming, China.
Ischemic stroke (IS) has high morbidity/mortality with limited treatments. This study screened core copper homeostasis-related genes in IS and validated their function as precise intervention targets. Human IS gene chip data were retrieved from GEO, and copper homeostasis genes from multiple databases.
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