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Background: This study aims to observe the relationship between novel inflammatory markers and AMI, and analyze its correlation with the degree of coronary artery disease. Methods: Clinical data were collected from the control (510 cases) and AMI (406 cases) groups. The AMI group was classified into mild, moderate and severe according to the Gensini score. Correlation of SII, SIRI, MHR and NHR with Gensini score in AMI patients was analysed using Spearman rank correlation analysis. Factors influencing the degree of coronary lesion in AMI were analysed by multi-factor ordinal logistic regression. The predictive value of the novel inflammatory markers for AMI and its coronary severity was assessed using ROC curves. Risk prediction of the extent of coronary artery disease in AMI using the Nomogram for novel inflammatory indices. Results: The levels of SII, SIRI, MHR and NHR were significantly higher in the AMI group than in the control group. With increasing Gensini score, all four novel inflammatory indices showed an increasing trend. And four novel inflammatory indices were positively correlated with Gensini scores. Meanwhile, SII, SIRI and MHR were independent risk factors for the extent of coronary artery disease in AMI. SII, SIRI, MHR and NHR have good predictive value for AMI, and have predictive value for mild and severe AMI, but have no predictive value for moderate AMI. The nomogram results showed that SII, SIRI and MHR had some predictive value for the degree of coronary artery disease in AMI. The nomogram results showed that SII, SIRI and MHR had some predictive value for the degree of coronary artery disease in AMI. Conclusion: The elevated levels of SIRI, SII, MHR, NHR in AMI patients are independent risk factors for the severity of coronary artery disease in AMI patients, and have predictive value to a certain extent.
Sun et al. (Tue,) studied this question.