天津医药 ›› 2026, Vol. 54 ›› Issue (5): 498-503.doi: 10.11958/20253715

• 临床研究 • 上一篇    下一篇

全身炎症反应指数联合心房心肌病标志物对AMI后新发心房颤动的预测价值

郑建发(), 杨洋, 张晓红()   

  1. 安徽医科大学第三附属医院合肥市第一人民医院心血管内科(邮编 230001)
  • 收稿日期:2025-12-23 修回日期:2026-01-26 出版日期:2026-05-15 发布日期:2026-05-13
  • 通讯作者: E-mail:datoubaom@126.com
  • 作者简介:郑建发(1982),男,副主任医师,主要从事冠心病介入治疗方面研究。E-mail:xnk020560@126.com
  • 基金资助:
    安徽省卫生健康科研项目(AHWJ2023BAc20115)

The predictive value of systemic inflammation response index combined with atrial cardiomyopathy markers for new-onset atrial fibrillation after acute myocardial infarction

ZHENG Jianfa(), YANG Yang, ZHANG Xiaohong()   

  1. Department of Cardiovascular Medicine, the Third Affiliated Hospital of Anhui Medical University, Hefei First People's Hospital, Hefei 230001, China
  • Received:2025-12-23 Revised:2026-01-26 Published:2026-05-15 Online:2026-05-13
  • Contact: E-mail:datoubaom@126.com

摘要:

目的 探讨全身炎症反应指数(SIRI)联合心房心肌病标志物左心房前后径(LAD)和N末端脑钠肽前体(NT-proBNP)对急性心肌梗死(AMI)后新发心房颤动(AF)的预测价值。方法 选取356例AMI患者并根据其住院期间经皮冠状动脉介入治疗(PCI)术后是否新发AF分为AF组(62例)和非AF组(294例)。收集并比较2组患者的基线资料、实验室指标及超声心动图参数。采用Logistic回归分析AMI后新发AF的危险因素。应用限制性立方样条验证SIRI、LAD、NT-proBNP与新发AF的剂量-反应关系并绘制受试者工作特征(ROC)曲线评估SIRI、LAD、NT-proBNP及三者联合指标的预测效能。结果 与非AF组相比,AF组患者的年龄、心率、房颤卒中风险评分(CHA2DS2-VASc评分)、中性粒细胞计数、单核细胞计数、中性粒细胞计数/淋巴细胞计数比值(NLR)、SIRI、血肌酐、NT-proBNP、LAD、左心室舒张末期内径、左心室舒张末期容积指数、左心房容积指数较高,舒张压、三酰甘油、估算肾小球滤过率、左心室射血分数均较低(P<0.01)。多因素Logistic回归分析显示,高龄,LAD、logNT-proBNP及SIRI升高均是AMI后新发AF的独立危险因素。限制性立方样条分析显示,SIRI、LAD和logNT-proBNP与AMI后新发AF呈线性剂量-反应关系(P非线性>0.05),与AF风险呈正相关(P总体<0.01)。ROC曲线分析显示,SIRI、LAD和NT-proBNP三者联合预测模型的曲线下面积(AUC)为0.863(95%CI:0.800~0.926),敏感度为87.5%,特异度为74.1%。结论 SIRI、LAD与NT-proBNP是AMI后新发AF的独立预测因素,三者联合可显著提高预测效能。

关键词: 心肌梗死, 心房颤动, 单核细胞, 利钠肽, 脑, 全身炎症反应指数, 左心房前后径

Abstract:

Objective To explore the predictive value of the systemic inflammatory response index (SIRI) combined with atrial cardiomyopathy markers, left atrial diameter (LAD) and N-terminal pro-brain natriuretic peptide (NT-proBNP) for new-onset atrial fibrillation (AF) after acute myocardial infarction (AMI). Methods A total of 356 AMI patients were selected and divided into the AF group (62 cases) and the non-AF group (294 cases) based on whether new-onset AF occurred after percutaneous coronary intervention (PCI) during hospitalization. Baseline data, laboratory indicators and echocardiographic parameters of the two groups were collected and compared. Logistic regression analysis was used to evaluate the risk factors for new-onset AF. Restricted cubic spline plots were applied to verify the dose-response relationship between SIRI, LAD, NT-proBNP and new-onset AF, and receiver operating characteristic (ROC) curves were drawn to evaluate the predictive efficacy of SIRI, LAD, NT-proBNP and their combined indicators. Results Compared with the non-AF group, patients in the AF group exhibited higher age, heart rate, CHA2DS2-VASc score, neutrophil count, monocyte count, neutrophil-to-lymphocyte ratio (NLR), SIRI, serum creatinine, NT-proBNP, anterior-posterior diameter of left atrium (LAD), left ventricular end-diastolic diameter, left ventricular end-diastolic volume index and left atrial volume index, and diastolic blood pressure, triglycerides, estimated glomerular filtration rate and left ventricular ejection fraction were lower (P<0.01). Multivariate Logistic regression analysis showed that advanced age, increased LAD, logNT-proBNP and SIRI were independent risk factors for new-onset AF after AMI. Restricted cubic spline analysis showed that SIRI, LAD and logNT-proBNP had a linear dose-response relationship with new-onset AF after AMI (P nonlinearity>0.05), and were positively correlated with AF risk (P overall<0.01). ROC curve analysis showed that the AUC of the combined prediction model of SIRI, LAD and NT-proBNP was 0.863 (95% CI: 0.800 - 0.926), with a sensitivity of 87.5% and a specificity of 74.1%. Conclusion SIRI, LAD and NT-proBNP are independent predictors of new-onset AF after AMI. The combination of the three can significantly improve the predictive performance, providing a practical tool for the early identification of high-risk patients.

Key words: myocardial infarction, atrial fibrillation, monocytes, natriuretic peptide, brain, systemic inflammatory response index, left atrial diameter

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