Tianjin Medical Journal ›› 2026, Vol. 54 ›› Issue (5): 498-503.doi: 10.11958/20253715

• Clinical Research • Previous Articles     Next Articles

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

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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