ArticleFrontiers in neurology
The predictive value of circulating inflammatory and immune biomarkers for stroke-associated pneumonia following endovascular therapy in patients with acute anterior circulation large vessel occlusion infarction: a prospective cohort study.
Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The active role of pulmonary immunity in ischaemic stroke.Journal of neuroinflammation · 2026Review
- Gut dysbiosis, metabolic signals, and pulmonary immune reprogramming: decoding the gut microbiota -immune axis in stroke-associated pneumonia.Frontiers in immunology · 2026Review
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Authors and funding
8 authors.
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Abstract
Objective: To investigate the changes in circulating biomarkers of patients with acute anterior circulation large vessel occlusive cerebral infarction (ACLVO) following endovascular therapy (EVT), and to explore their potential utility as early predictors for the development of stroke-associated pneumonia (SAP). Methods: Peripheral blood samples were collected from ACLVO patients on days 1, 3, and 7 following EVT. Samples were analyzed to detect monocyte human leukocyte antigen-DR (mHLA-DR) expression level, along with plasma levels of interleukin-6 (IL-6), C-reactive protein (CRP), and procalcitonin (PCT). Results: Multivariate binary logistic regression analysis adjusted for clinical confounders identified decreased mHLA DR expression at day 1 and dysphagia as independent SAP predictors ( Conclusion: In this exploratory study, our findings suggest that mHLA-DR expression levels may indicate some predictive value for SAP development after EVT in ACLVO patients, with the predictive performance appearing enhanced when combined with the A2DS2 score. Dysphagia and a large infarct volume emerged as potential risk factors for SAP. Conversely, within the context of our cohort, plasma levels of IL-6, CRP, and PCT did not demonstrate clear utility for the early prediction of SAP.
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