Abou-Mrad Tatiana, McGuire Laura Stone, Hossa Jessica, Theiss Peter, Tshibangu Mpuekela, Madapoosi Adrusht, Charbel Fady T, Alaraj Ali
Department of Neurosurgery, University of Illinois Chicago, 912 S. Wood St 451N - MC 799, Chicago, IL, 60612, USA.
Acta Neurochir (Wien). 2025 Apr 15;167(1):106. doi: 10.1007/s00701-025-06464-0.
Plasma-based inflammatory biomarkers have gained attention in cerebrovascular pathologies, with studies suggesting links to high-risk features. This study investigates the association between systemic inflammatory markers and cerebral arteriovenous malformation (AVM) angioarchitectural and hemodynamic characteristics.
A single-center database of AVM patients (2007-2023) was queried. Patients with unruptured, supratentorial AVMs, baseline quantitative magnetic resonance angiography, and complete blood counts at admission were included. Biomarkers analyzed included white blood cell (WBC) count, absolute neutrophil count (ANC), absolute monocyte count (AMC), absolute lymphocyte count (ALC), and platelet count. Neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), and systemic inflammation index (SII) were calculated. AVM characteristics and hemodynamic properties were assessed.
86 patients met inclusion criteria. No significant correlations were found between systemic inflammatory markers and AVM size, morphology, venous stenosis, or Spetzler-Martin grade. While WBC count and ANC weakly correlated with flow index (p < 0.05), AVM flow showed no consistent associations with inflammatory markers.
Systemic inflammatory markers do not consistently correlate with unruptured AVM angioarchitecture or hemodynamics. These findings suggest systemic inflammation may have limited relevance to sporadic AVM pathology. Future studies should explore localized inflammatory biomarkers to better understand AVM behavior.
基于血浆的炎症生物标志物在脑血管疾病中受到关注，研究表明其与高危特征有关。本研究调查全身炎症标志物与脑动静脉畸形（AVM）血管构筑和血流动力学特征之间的关联。
查询了一个单中心的AVM患者数据库（2007 - 2023年）。纳入未破裂的幕上AVM患者、基线定量磁共振血管造影以及入院时的全血细胞计数。分析的生物标志物包括白细胞（WBC）计数、绝对中性粒细胞计数（ANC）、绝对单核细胞计数（AMC）、绝对淋巴细胞计数（ALC）和血小板计数。计算中性粒细胞与淋巴细胞比值（NLR）、淋巴细胞与单核细胞比值（LMR）、血小板与淋巴细胞比值（PLR）以及全身炎症指数（SII）。评估AVM特征和血流动力学特性。
86例患者符合纳入标准。全身炎症标志物与AVM大小、形态、静脉狭窄或Spetzler - Martin分级之间未发现显著相关性。虽然WBC计数和ANC与血流指数弱相关（p < 0.05），但AVM血流与炎症标志物无一致关联。
全身炎症标志物与未破裂AVM的血管构筑或血流动力学无一致相关性。这些发现表明全身炎症可能与散发性AVM病理的相关性有限。未来的研究应探索局部炎症生物标志物，以更好地了解AVM的行为。
