Center for Cure and Health, Sassari, Italy.
Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Curr Pharm Des. 2021;27(18):2170-2179. doi: 10.2174/1381612826666201222155630.
Carotid artery disease is commonly encountered in clinical practice and accounts for approximately 30% of ischemic strokes in the general population. Numerous biomarkers have been investigated as predictors of the onset and progression of carotid disease, the occurrence of cerebrovascular complications, and overall prognosis. Among them, blood cell count (BCC) indexes of systemic inflammation might be particularly useful, from a pathophysiological and clinical point of view, given the inflammatory nature of the atherosclerotic process. The aim of this review is to discuss the available evidence regarding the role of common BCC indexes, such as the neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), mean platelet volume (MPV), platelet distribution width (PDW), and red cell distribution width (RDW), in the diagnosis and risk stratification of carotid artery disease, and their potential clinical applications.
颈动脉疾病在临床实践中很常见，约占普通人群缺血性中风的 30%。大量生物标志物已被研究作为颈动脉疾病发病和进展、脑血管并发症发生以及整体预后的预测指标。其中，从病理生理学和临床角度来看，血细胞计数（BCC）的系统炎症指标可能特别有用，因为动脉粥样硬化过程具有炎症性质。本综述的目的是讨论有关常见 BCC 指标（如中性粒细胞与淋巴细胞比值（NLR）、单核细胞与淋巴细胞比值（MLR）、血小板与淋巴细胞比值（PLR）、平均血小板体积（MPV）、血小板分布宽度（PDW）和红细胞分布宽度（RDW））在颈动脉疾病诊断和风险分层中的作用的现有证据，以及它们的潜在临床应用。
