1. Association between inflammatory burden index and coronary slow flow phenomenon in patients with chest pain and no obstructive coronary arteries.
- Author
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Wen ZG, Long JJ, and Wang Y
- Subjects
- Humans, Male, Female, Middle Aged, Case-Control Studies, Risk Factors, Inflammation Mediators blood, Inflammation physiopathology, Inflammation diagnosis, Inflammation blood, Aged, Lymphocyte Count, Adult, Neutrophils, Coronary Vessels physiopathology, Coronary Vessels diagnostic imaging, Angina Pectoris physiopathology, Angina Pectoris blood, Angina Pectoris diagnosis, Angina Pectoris diagnostic imaging, Coronary Circulation, Predictive Value of Tests, C-Reactive Protein metabolism, C-Reactive Protein analysis, No-Reflow Phenomenon physiopathology, No-Reflow Phenomenon blood, No-Reflow Phenomenon diagnosis, No-Reflow Phenomenon diagnostic imaging, No-Reflow Phenomenon etiology, Coronary Angiography, Biomarkers blood
- Abstract
Background: The inflammatory burden index (IBI), a novel inflammation-based indicator, to is associated with the presence and prognosis of various diseases. However, few studies have focused on exploring the relationship between IBI and the coronary slow flow phenomenon (CSFP). In this study, we aimed to investigate the predictive value of IBI for CSFP in patients with chest pain and no obstructive coronary artery disease., Methods: A total of 1126 individuals with chest pain and no obstructive coronary arteries were consecutively included in this study. 71 patients developed CSFP were included in the CSFP group. A 1:2 age- and sex-matched patient with normal blood flow and angiographically proven normal coronary arteries was selected as the control group (n = 142). Plasma C-reactive protein (CRP), neutrophil, and lymphocyte counts were measured to determine the value of IBI., Results: The IBI were significantly higher in the CSFP group than in the controls (21.1 ± 6.5 vs. 14.5 ± 6.4, P < 0.001). The IBI increasedelevated with the increase of the numbers of vessels affected by CSFP. Multivariate logistic regression analysis revealed that IBI and body mass index (BMI) were independent predictors of CSFP. Receiver operating characteristic (ROC) curve analysis showed that when IBI was > 15.74, the sensitivity and specificity were 77.5% and 67.6%, respectively, and the area under the ROC curve (AUC) was 0.799 (95% CI: 0.737-0.862, P<0.001)., Conclusion: The IBI may be an independent predictor of CSFP in patients with chest pain and normal coronary arteries. The IBI could improve the predictive value of CSFP compared with the indicators alone., (© 2024. The Author(s).)
- Published
- 2024
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