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Coronary artery ectasia (CAE) is a rare vascular phenotype characterized by abnormal dilation of blood vessels and disruption of coronary artery blood flow, which may promote thrombosis and an inflammatory response. We performed a cross-sectional study to investigate the association of white blood cells to mean platelet volume ratio (WMR) with CAE. Consecutive eligible patients (n = 492) were divided into two groups: including 238 patients with CAE and 254 patients in the normal coronary artery (NCA) group. WMR, the systemic immune-inflammation index (SII), and neutrophil-to-lymphocyte ratio (NLR) were found to be significantly associated with CAE in both univariate and multivariate logistic regression analyses. In multivariate analysis, the presence of WMR was associated with CAE (the odds ratios (OR) = 1.002, 95% CI: 1.001–1.003, P <.001). In the ROC analysis, the statistics (Z-values) of WMR vs SII and WMR vs NLR were 2.427 and 2.670 and were statistically significant (P =.015 and P =.008), indicating that WMR was superior to SII and NLR in distinguishing WMR. The optimal cut-off value was calculated from the point of maximal sensitivity and specificity by using Youden's index, which was determined to be 635.50. WMR has the potential to be a cost-effective tool to monitor CAE. [ABSTRACT FROM AUTHOR]

The aim of the present study was to define the risk factors associated with contrast-induced acute kidney injury (CI-AKI) in patients who underwent coronary artery angiography (CAG). In this retrospective cohort study, patients who underwent CAG between March 2014 and January 2022 were evaluated. A total of 2923 eligible patients were included in the study. Univariate and multivariate logistic regression analysis was used to identify the predictive factors. CI-AKI developed in 77 (2.6%) of 2923 patients. In multivariate analysis, diabetes mellitus (DM), chronic kidney disease (CKD), and estimated glomerular filtration rate (eGFR) were found to be independent factors associated with CI-AKI. In the subgroup analysis of patients with eGFR ≥60 mL/min/1.73 m2, eGFR remained a predictor of CI-AKI (Odds ratio (OR):.89, 95% CI:.84-.93; that is, a lower eGFR remains a risk factor for CI-AKI). In the receiving operating characteristic (ROC) analysis of patients with eGFR ≥60 mL/min/1.73 m2, the area under the curve of the eGFR was.826. Using the ROC curve based on Youden's index, the eGFR cut-off was found to be 70 mL/min/1.73 m2 for patients with eGFR ≥60 mL/min/1.73 m2. eGFR is also an important risk factor in patients with eGFR 60-70 mL/min/1.73 m2. [ABSTRACT FROM AUTHOR]

Uric acid (UA) to albumin ratio (UAR) is an emerging marker to predict coronary artery disease (CAD)-related events. There is limited data on the relationship between UAR and the severity of the disease in chronic CAD patients. We aimed to evaluate UAR as an indicator for CAD severity using the Syntax score (SS). We retrospectively enrolled 558 patients with stable angina pectoris and underwent coronary angiography (CAG). Patients were divided into 2 groups, according to CAD severity: low SS (≤22) and intermediate-high SS (>22) groups. UA levels were higher and albumin levels were lower in the intermediate-high SS score group (P <.001). UAR levels were significantly higher in the intermediate-high SS group (P <.001). Also, there was a significant correlation between UAR levels and SS (r =.55, 95% confidence interval (CI):.49–.60, P <.001). In multivariable analysis, UAR >1.34 (Odds ratio, 3.8 [2.3–6.2]; P <.001) was an independent predictor of intermediate-high SS while albumin and UA levels were not. In conclusion, UAR predicted disease burden in chronic CAD patients. It may prove useful as a simple and readily available marker to select patients for further evaluation. [ABSTRACT FROM AUTHOR]