Ji Jinrui, Qiao Mu, Ding Ya'nan, Wei Xiaoyun, Wan Dongyu, Wu Lei, Liu Hengliang
Clinical Medical Department, Faculty of Medicine, Henan University of Traditional Chinese Medicine, Zhengzhou, 450000, People's Republic of China.
Department of Cardiology, People's Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, 450000, People's Republic of China.
J Inflamm Res. 2025 Jun 3;18:7127-7138. doi: 10.2147/JIR.S513574. eCollection 2025.
Findings from this research aim to enhance clinical assessments of coronary artery disease severity and myocardial fibrosis (MF).
A total of 523 eligible non-ST-segment elevation acute coronary syndromes (NSTE-ACS) patients were included. Clinical data were collected and analyzed. Multifactorial logistic regression analysis was applied to identify factors influencing coronary artery lesions in patients with NSTE-ACS. Diagnostic accuracy for Complement C1q tumor necrosis factor-related protein 5 (CTRP5) and systemic immune-inflammation index (SII) in assessing coronary artery lesions and MF was analyzed via receiver operating characteristic (ROC) curve analysis.
The levels of CTRP5 and SII were significantly different between the unstable angina pectoris (UAP) and ST-segment elevation myocardial infarction (NSTEMI) groups (all P<0.05). Significant differences in CTRP5, SII, PCI, and PCIII were noted across the Single-, Two-, and Three-vessel lesion groups (all P<0.05). Multifactorial logistic regression analysis revealed that CTRP5 (odds ratio [OR], 1.621; 95% confidence interval [CI], 1.103-1.984; P<0.001) and SII (OR, 1.473; 95% CI, 1.178-1.840; P<0.001) were independent risk factors for three-vessel lesions. The ROC curve analysis demonstrated that CTRP5 and SII effectively predicted three-vessel lesions, with area under curve (AUC) values of 0.823 [cut-off value13.99; 95% confidence interval (CI), 0.779-0.866, P<0.001] and 0.796 [cut-off value, 837.5; 95% CI, 0.747-0.845, P<0.001], respectively. The ROC curve analysis evaluated the ability of CTRP5 and SII to predict MF; AUC values were 0.809 (cut-off value, 11.95; 95% CI, 0.724-0.895, P<0.001) and 0.713 (cut-off value, 624.2; 95% CI, 0.611-0.815, P<0.001), respectively.
CTRP5 and SII demonstrate strong potential as early diagnostic markers for assessing the severity of coronary artery disease and MF in patients with NSTE-ACS.
本研究的结果旨在加强对冠状动脉疾病严重程度和心肌纤维化(MF)的临床评估。
共纳入523例符合条件的非ST段抬高型急性冠状动脉综合征(NSTE-ACS)患者。收集并分析临床数据。应用多因素逻辑回归分析来确定影响NSTE-ACS患者冠状动脉病变的因素。通过受试者工作特征(ROC)曲线分析,分析补体C1q肿瘤坏死因子相关蛋白5(CTRP5)和全身免疫炎症指数(SII)在评估冠状动脉病变和MF方面的诊断准确性。
不稳定型心绞痛(UAP)组和ST段抬高型心肌梗死(NSTEMI)组之间CTRP5和SII水平存在显著差异(均P<0.05)。单支、双支和三支血管病变组之间CTRP5、SII、PCI和PCIII存在显著差异(均P<0.05)。多因素逻辑回归分析显示,CTRP5(比值比[OR],1.621;95%置信区间[CI],1.103-1.984;P<0.001)和SII(OR,1.473;95%CI,1.178-1.840;P<0.001)是三支血管病变的独立危险因素。ROC曲线分析表明,CTRP5和SII能有效预测三支血管病变,曲线下面积(AUC)值分别为0.823[临界值13.99;95%置信区间(CI),0.779-0.866,P<0.001]和0.796[临界值,837.5;95%CI,0.747-0.845,P<0.001]。ROC曲线分析评估了CTRP5和SII预测MF的能力;AUC值分别为0.809(临界值,11.95;95%CI,0.724-0.895,P<0.001)和0.713(临界值,624.2;95%CI,0.611-0.815,P<0.001)。
CTRP5和SII作为评估NSTE-ACS患者冠状动脉疾病严重程度和MF的早期诊断标志物具有很大潜力。