ArticleJournal of clinical laboratory analysis2021
Lp-PLA2 evaluates the severity of carotid artery stenosis and predicts the occurrence of cerebrovascular events in high stroke-risk populations.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Clinical value of APN combined with Lp-PLA2 in predicting functional outcome in patients with cerebral infarction underwent rt-PA intravenous thrombolysis.BMC neurology · 2026Article
- Lipoprotein-associated phospholipase A2 (Lp-PLA2): a key hub linking lipid metabolism and immune inflammation.Frontiers in immunology · 2026Review
- Clinical value of Lp-PLA2, LDL-C, HDL-C, hs-CRP, leukocyte, FPG and HbA1c in type 2 diabetes mellitus patients with acute ischemic stroke.Frontiers in endocrinology · 2025Article
- Impact of Onset-to-Needle Time on the Risk of Early Neurological Deterioration in Patients with Acute Ischemic Stroke Receiving Intravenous Thrombolysis.Therapeutics and clinical risk management · 2025Article
- The value of Lp(a) and TG/HDLC in peripheral blood to assess the stability of carotid plaque in patients with ischemic stroke.Brain and behavior · 2024Article
- Current Biomarkers for Carotid Artery Stenosis: A Comprehensive Review of the Literature.Metabolites · 2023Review
- Clinical Parameters and Epigenetic Biomarkers of Plaque Vulnerability in Patients with Carotid Stenosis.International journal of molecular sciences · 2022Review
- Diagnostic value of plasma D-dimer and serum lipoprotein phospholipase A2 in patients with cerebral small vessel disease and their association with severity of the disease.American journal of translational research · 2022Article
- Urinary Proteomics Identifying Novel Biomarkers for the Diagnosis and Phenotyping of Carotid Artery Stenosis.Frontiers in molecular biosciences · 2021Article
- Biomarkers to monitor the prognosis, disease severity, and treatment efficacy in coronary artery disease.Expert review of cardiovascular therapyReview
- Dysregulation Serum miR-19a-3p is a Diagnostic Biomarker for Asymptomatic Carotid Artery Stenosis and a Promising Predictor of Cerebral Ischemia Events.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLipoprotein-associated phospholipase A2 (Lp-PLA2) is an independent risk factor for cardiovascular disease. However, relationship between carotid artery stenosis and cerebrovascular events in high stroke-risk populations is still unclear.
methodsA total of 835 people at a high risk of stroke were screened from 15,933 people aged >40 years in April 2013 and followed at 3, 6, 12, and 24 months. Finally, 823 participants met the screening criteria, and the clinical data and biochemical parameters were investigated.
resultsAmong the 823 participants, 286 had varying degrees of carotid artery stenosis and 18 had cerebrovascular events. The level of Lp-PLA2 in the carotid artery stenosis group was higher than that in the no stenosis group, and the level in the event group was higher than that in the no event group (p < 0.05). Spearman correlation analysis showed that Lp-PLA2 was positively correlated with the degree of carotid artery stenosis (r = 0.093, p = 0.07) and stenosis involvement (r = 0.094, p = 0.07). The correlation coefficient between Lp-PLA2 and lipoprotein was the highest on the levels of sdLDL (r = 0.555, p < 0.001), followed by non-HDL, LDL, TC, and TG. Cox multivariate regression analysis revealed that, compared with the first quantile of Lp-PLA2 level (Q1, low level), the risk of cerebrovascular events in the fourth quantile of Lp-PLA2 was 10.170 times that of the first quantile (OR = 10.170, 95% CI 1.302-79.448, p = 0.027).
conclusionsLp-PLA2 levels can evaluate carotid artery stenosis and predict the occurrence of cerebrovascular events in high stroke-risk populations and provide scientific guidance for risk stratification management.
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