Department of General, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
PLoS One. 2024 May 29;19(5):e0303869. doi: 10.1371/journal.pone.0303869. eCollection 2024.
Carotid atherosclerosis is a chronic inflammatory disease, which is a major cause of ischemic stroke. The purpose of this study was to analyze the relationship between carotid atherosclerosis and novel inflammatory markers, including platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to neutrophil ratio (PNR), neutrophil to lymphocyte platelet ratio (NLPR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), in order to find the best inflammatory predictor of carotid atherosclerosis.
We included 10015 patients who underwent routine physical examinations at the physical examination center of our hospital from January 2016 to December 2019, among whom 1910 were diagnosed with carotid atherosclerosis. The relationship between novel inflammatory markers and carotid atherosclerosis was analyzed by logistic regression, and the effectiveness of each factor in predicting carotid atherosclerosis was evaluated by receiver operating characteristic (ROC) curve and area under the curve (AUC).
The level of PLR, LMR and PNR in the carotid atherosclerosis group were lower than those in the non-carotid atherosclerosis group, while NLR, NLPR, SII, SIRI and AISI in the carotid atherosclerosis group were significantly higher than those in the non-carotid atherosclerosis group. Logistic regression analysis showed that PLR, NLR, LMR, PNR, NLPR, SII, SIRI, AISI were all correlated with carotid atherosclerosis. The AUC value of NLPR was the highest, which was 0.67, the cut-off value was 0.78, the sensitivity was 65.8%, and the specificity was 57.3%. The prevalence rate of carotid atherosclerosis was 12.4% below the cut-off, 26.6% higher than the cut-off, and the prevalence rate increased by 114.5%.
New inflammatory markers were significantly correlated with carotid atherosclerosis, among which NLPR was the optimum inflammatory marker to predict the risk of carotid atherosclerosis.
颈动脉粥样硬化是一种慢性炎症性疾病，是缺血性脑卒中的主要病因。本研究旨在分析颈动脉粥样硬化与新型炎症标志物（包括血小板与淋巴细胞比值[PLR]、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]、血小板与中性粒细胞比值[PNR]、中性粒细胞与淋巴细胞血小板比值[NLPR]、全身免疫炎症指数[SII]、全身炎症反应指数[SIRI]和全身炎症综合指数[AISI]）之间的关系，以寻找颈动脉粥样硬化的最佳炎症预测因子。
我们纳入了 2016 年 1 月至 2019 年 12 月在我院体检中心进行常规体检的 10015 例患者，其中 1910 例被诊断为颈动脉粥样硬化。采用 logistic 回归分析新型炎症标志物与颈动脉粥样硬化的关系，通过受试者工作特征（ROC）曲线和曲线下面积（AUC）评估各因素预测颈动脉粥样硬化的有效性。
颈动脉粥样硬化组的 PLR、LMR 和 PNR 水平低于非颈动脉粥样硬化组，而 NLR、NLPR、SII、SIRI 和 AISI 水平均显著高于非颈动脉粥样硬化组。logistic 回归分析显示，PLR、NLR、LMR、PNR、NLPR、SII、SIRI、AISI 均与颈动脉粥样硬化相关。NLPR 的 AUC 值最高，为 0.67，截断值为 0.78，敏感度为 65.8%，特异度为 57.3%。截断值以下的颈动脉粥样硬化患病率为 12.4%，高于截断值的患病率为 26.6%，患病率增加了 114.5%。
新型炎症标志物与颈动脉粥样硬化显著相关，其中 NLPR 是预测颈动脉粥样硬化风险的最佳炎症标志物。
