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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).)

BACKGROUND Recently, the albumin-to-creatinine ratio (ACR) has been suggested as a valuable biomarker for adverse events in acute myocardial infarction. However, the prognostic value of ACR in very elderly patients (≥80 years) with non-ST-elevation acute coronary syndrome (NSTE-ACS) after percutaneous coronary intervention (PCI) remains unclear. MATERIAL AND METHODS A total of 354 very elderly patients with NSTE-ACS who underwent PCI were included in this study and followed up for 1 year. Patients were divided into 3 groups according to ACR tertiles. Logistic regression analysis proportional hazard model was used to determine the prognostic value of ACR. RESULTS Sixty-two patients (17.5%) with 114 major adverse cardiovascular and cerebrovascular events (MACCEs) were recorded during 1-year follow-up. Patients with lower ACR tended to be older and had a lower serum albumin level and higher uric acid and creatinine levels (P<0.05). Moreover, patients with lower ACR levels had elevated all-cause mortality and MACCEs. Kaplan-Meier analysis suggested that patients with a lower ACR had a significantly lower survival rate free of all-cause mortality and MACCEs. Multivariable logistic regression analysis demonstrated that ACR was an independent predictor of all-cause mortality in these patients. ROC analysis showed that when ACR was ≤42.8, sensitivity and specificity were 75.2% and 80.2%, respectively, and the area under the ROC curve was 0.802 (95% CI: 0.745-0.859; P<0.001). CONCLUSIONS A lower ACR was associated with a higher incidence of all-cause mortality in very elderly patients with NSTE-ACS after PCI. The ACR is a promising indicator for risk stratification and prognostic assessment in these individuals.