Cetinkaya Zeki, Kelesoglu Saban, Tuncay Aydin, Yilmaz Yucel, Karaca Yucel, Karasu Mehdi, Secen Ozlem, Cinar Ahmet, Harman Murat, Sahin Seyda, Akin Yusuf, Yavcin Ozkan
Department of Cardiology, Ministry of Health, Elazıg Fethi Sekin City Hospital, Elazıg 23280, Turkey.
Department of Cardiology, Erciyes University Faculty of Medicine, Kayseri 38039, Turkey.
J Clin Med. 2024 Feb 25;13(5):1295. doi: 10.3390/jcm13051295.
Even though medication and interventional therapy have improved the death rate for non-ST elevation myocardial infarction (NSTEMI) patients, these patients still have a substantial residual risk of cardiovascular events. Early identification of high-risk individuals is critical for improving prognosis, especially in this patient group. The focus of recent research has switched to finding new related indicators that can help distinguish high-risk patients. For this purpose, we examined the relationship between the pan-immune-inflammation value (PIV) and the severity of coronary artery disease (CAD) defined by the SYNTAX score (SxS) in NSTEMI patients.
Based on the SxS, CAD patients were split into three groups. To evaluate the risk variables of CAD, multivariate logistic analysis was employed.
The PIV (odds ratio: 1.003; 95% CI: 1.001-1.005; = 0.005) was found to be an independent predictor of a high SxS in the multivariate logistic regression analysis. Additionally, there was a positive association between the PIV and SxS (r: 0.68; < 0.001). The PIV predicted the severe coronary lesion in the receiver-operating characteristic curve analysis with a sensitivity of 91% and specificity of 81.1%, using an appropriate cutoff value of 568.2.
In patients with non-STEMI, the PIV, a cheap and easily measured laboratory variable, was substantially correlated with a high SxS and the severity of CAD.
尽管药物治疗和介入治疗已降低了非ST段抬高型心肌梗死（NSTEMI）患者的死亡率，但这些患者仍存在心血管事件的显著残余风险。早期识别高危个体对于改善预后至关重要，尤其是在该患者群体中。近期研究的重点已转向寻找有助于区分高危患者的新相关指标。为此，我们研究了NSTEMI患者的全免疫炎症值（PIV）与由SYNTAX评分（SxS）定义的冠状动脉疾病（CAD）严重程度之间的关系。
根据SxS，将CAD患者分为三组。采用多因素逻辑分析评估CAD的风险变量。
在多因素逻辑回归分析中，发现PIV（比值比：1.003；95%置信区间：1.001 - 1.005；P = 0.005）是高SxS的独立预测因子。此外，PIV与SxS之间存在正相关（r：0.68；P < 0.001）。在接受者操作特征曲线分析中，PIV预测严重冠状动脉病变的敏感性为91%，特异性为81.1%，合适的临界值为568.2。
在非STEMI患者中，PIV作为一种廉价且易于测量的实验室变量，与高SxS及CAD严重程度显著相关。
