全身免疫炎症指数预测老年STEMI患者经皮冠状动脉介入治疗后无血流再流现象

IF 0.9 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS Cardiovascular Innovations and Applications Pub Date : 2023-02-04 DOI:10.15212/cvia.2023.0005
Jiaqi Wang, Feifei Zhang, Man Gao, Yudan Wang, Xuelian Song, Yingxiao Li, Y. Dang, X. Qi
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引用次数: 0

摘要

目的:冠状动脉无再流现象(NRP)是st段抬高型心肌梗死(STEMI)经皮冠状动脉介入治疗(PCI)常见的不良并发症,与患者预后不良相关。本研究探讨老年STEMI患者全身免疫炎症指数(SII)与NRP的相关性,为早期识别高危患者,改善其预后提供依据。材料与方法:选取2017年1月至2020年6月在河北省总医院心内科直接行PCI治疗的老年急性STEMI患者578例进行回顾性研究。根据术中是否发生NRP分为NRP组和正常血流组。收集两组患者的临床资料及各项检查指标。采用Logistic回归分析NRP的独立预测因子,采用受试者工作特征曲线进一步分析SII预测老年STEMI患者NRP的能力。结果:多因素logistic分析显示,高血压(OR=2.048, 95% CI:1.252 ~ 3.352, P=0.004)、淋巴细胞计数(OR=0.571, 95% CI:0.368 ~ 0.885, P=0.012)、血小板计数(OR=1.009, 95% CI:1.005 ~ 1.013, P<0.001)、血红蛋白(OR=1.015, 95% CI:1.003 ~ 1.028, P=0.018)、多血管疾病(OR=2.237, 95% CI:1.407 ~ 3.558, P=0.001)、SII≥1814 (OR=3.799, 95% CI:2.190 ~ 6.593, P<0.001)是老年STEMI患者首次PCI术后NRP的独立预测因素。受试者工作特征曲线分析表明,SII对NRP有较高的预测价值(AUC=0.738;95% CI: 0.686-0.790),最佳临界值为1814,敏感性为52.85%,特异性为85.71%。结论:对于接受首次PCI的老年STEMI患者,SII是NRP的有效预测因子。
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The Systemic Immune Inflammatory Index Predicts No-Reflow Phenomenon after Primary Percutaneous Coronary Intervention in Older Patients with STEMI
Purpose: Coronary no-reflow phenomenon (NRP), a common adverse complication in patients with ST-segment elevation myocardial infarction (STEMI) treated by percutaneous coronary intervention (PCI), is associated with poor patient prognosis. In this study, the correlation between the systemic immune-inflammation index (SII) and NRP in older patients with STEMI was studied, to provide a basis for early identification of high-risk patients and improve their prognosis. Materials and methods: Between January 2017 and June 2020, 578 older patients with acute STEMI admitted to the Department of Cardiology of Hebei General Hospital for direct PCI treatment were selected for this retrospective study. Patients were divided into an NRP group and normal-flow group according to whether NRP occurred during the operation. Clinical data and the examination indexes of the two groups were collected. Logistic regression was used to analyze the independent predictors of NRP, and the receiver operating characteristic curve was used to further analyze the ability of SII to predict NRP in older patients with STEMI. Results: Multivariate logistic analysis indicated that hypertension (OR=2.048, 95% CI:1.252–3.352, P=0.004), lymphocyte count (OR=0.571, 95% CI:0.368–0.885, P=0.012), platelet count (OR=1.009, 95% CI:1.005–1.013, P<0.001), hemoglobin (OR=1.015, 95% CI:1.003–1.028, P=0.018), multivessel disease (OR=2.237, 95% CI:1.407–3.558, P=0.001), and SII≥1814 (OR=3.799, 95% CI:2.190–6.593, P<0.001) were independent predictors of NRP after primary PCI in older patients with STEMI. Receiver operating characteristic curve analysis demonstrated that SII had a high predictive value for NRP (AUC=0.738; 95% CI:0.686–0.790), with the best cut-off value of 1814, a sensitivity of 52.85% and a specificity of 85.71%. Conclusion: For older patients with STEMI undergoing primary PCI, SII is a valid predictor of NRP.
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Cardiovascular Innovations and Applications
Cardiovascular Innovations and Applications CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
0.80
自引率
20.00%
发文量
222
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