Suppr超能文献

炎症血液学指标在预测老年慢性冠状动脉综合征患者急性冠状动脉综合征中的预后作用

Prognostic Role of Inflammatory Hematologic Indices in Predicting Acute Coronary Syndrome in Elderly Patients with Chronic Coronary Syndrome.

作者信息

Bao Qianxiao, Liu Tao, Song Hui, Bao Weiguo, Fan Weiguo

机构信息

Queen Mary College, Nanchang University, Nanchang, Jiangxi, 330031, People's Republic of China.

Medical Experimental Diagnostic Center; Administrative Office, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, People's Republic of China.

出版信息

J Inflamm Res. 2025 Jul 22;18:9637-9653. doi: 10.2147/JIR.S528161. eCollection 2025.

Abstract

BACKGROUND

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality, with inflammation playing a central role in the transition from Chronic Coronary Syndrome (CCS) to acute coronary syndrome (ACS). This study investigates the predictive value of multiple inflammatory indices in assessing the risk of ACS.

METHODS

This retrospective case-control study included 1, 116 patients aged 60 and older diagnosed with CCS or ACS between June 2018 and June 2023. Patients were grouped into CCS and ACS categories, with inflammatory indices derived from hematological parameters. Key indices included the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory response index (SIRI; calculated as monocyte count × neutrophil count / lymphocyte count), systemic immune-inflammation index (SII; platelet count × neutrophil count / lymphocyte count), and C-reactive protein-albumin-lymphocyte (CALLY) index (albumin × lymphocyte count / [C-reactive protein × 10]). Multivariate logistic regression and receiver operator characteristic (ROC) curve analyses assessed the indices' predictive capacity for ACS.

RESULTS

The ACS group demonstrated significantly elevated levels of inflammatory markers such as White Blood Cell Count (WBC), neutrophils, and monocytes. Among inflammatory indices, PLR, SIRI, and the SII were significant predictors of ACS. PLR had the highest area under the curve (AUC=0.841), with strong sensitivity (0.828) and specificity (0.747). SIRI followed with notable predictive efficacy (AUC=0.802). Increased BMI, diabetes, and adverse lipid profiles also correlated with heightened ACS risk.

CONCLUSION

PLR, SIRI, and SII emerge as valuable prognostic markers for ACS, reflecting the underlying inflammatory processes central to CAD progression. Their integration into clinical assessments could improve risk stratification and guide interventions. Future research should aim to elucidate mechanisms linking systemic inflammation to coronary events and explore therapeutic strategies targeting these pathways.

摘要

背景

冠状动脉疾病(CAD)仍然是发病和死亡的主要原因,炎症在从慢性冠状动脉综合征(CCS)转变为急性冠状动脉综合征(ACS)的过程中起着核心作用。本研究调查了多种炎症指标在评估ACS风险中的预测价值。

方法

这项回顾性病例对照研究纳入了2018年6月至2023年6月期间诊断为CCS或ACS的1116名60岁及以上的患者。患者被分为CCS组和ACS组,炎症指标来自血液学参数。关键指标包括中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、全身炎症反应指数(SIRI;计算方法为单核细胞计数×中性粒细胞计数/淋巴细胞计数)、全身免疫炎症指数(SII;血小板计数×中性粒细胞计数/淋巴细胞计数)以及C反应蛋白-白蛋白-淋巴细胞(CALLY)指数(白蛋白×淋巴细胞计数/[C反应蛋白×10])。多因素逻辑回归和受试者工作特征(ROC)曲线分析评估了这些指标对ACS的预测能力。

结果

ACS组的炎症标志物如白细胞计数(WBC)、中性粒细胞和单核细胞水平显著升高。在炎症指标中,PLR、SIRI和SII是ACS的显著预测指标。PLR的曲线下面积最高(AUC = 0.841),具有较高的敏感性(0.828)和特异性(0.747)。SIRI其次,具有显著的预测效果(AUC = 0.802)。体重指数增加、糖尿病和不良血脂谱也与ACS风险升高相关。

结论

PLR、SIRI和SII是ACS有价值的预后标志物,反映了CAD进展中潜在的炎症过程。将它们纳入临床评估可以改善风险分层并指导干预措施。未来的研究应旨在阐明全身炎症与冠状动脉事件之间的联系机制,并探索针对这些途径的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d221/12301150/1520707b86df/JIR-18-9637-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验