Association between inflammatory burden index and coronary slow flow phenomenon in patients with chest pain and no obstructive coronary arteries

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhi-Gao Wen, Jun-Jie Long, Yong Wang
Format: Article
Language:English
Published: BMC 2024-10-01
Series:BMC Cardiovascular Disorders
Subjects:
Online Access:https://doi.org/10.1186/s12872-024-04281-4
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1471-2261