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We investigated whether the systemic immune inflammation index (SII) on admission is an independent risk factor that predicts the development of contrast-induced nephropathy (CIN) in patients with non-ST segment elevation myocardial infarction (NSTEMI) who underwent percutaneous coronary intervention (PCI). A total of 429 patients with NSTEMI were enrolled in the study. Contrast-induced nephropathy was defined as an increase in serum creatinine level of ≥0.5 mg/dL or ≥25% above baseline within 72 hour after the procedure. Patients were divided into 2 groups: with and without CIN. Demographics, clinical risk factors, angiographic and laboratory parameters, CIN incidence, and SII score were compared between the 2 groups. Non-ST segment elevation myocardial infarction patients, who developed CIN, had higher glucose levels ( P = .009), neutrophil counts ( P < .001), platelet counts ( P < .001), neutrophil-lymphocyte ratios ( P < .001), high sensitivity C-reactive protein levels ( P = .009), and SII levels ( P < .001) than those who did not develop CIN. The receiver operating characteristic curve analysis showed that at a cutoff of 933.2, the value of SII exhibited 77.6% sensitivity and 69.2% specificity for detecting CIN. Our study showed that the SII levels on admission were independently associated with CIN development after PCI in patients with NSTEMI.

We investigated the relationship between the C-reactive protein (CRP) to albumin ratio (CAR) and coronary collateral circulation (CCC) in stable coronary artery disease (CAD). Patients with stable CAD (n = 354) who underwent coronary angiography for suspected CAD and had a total occlusion ≥1 major coronary artery were included in the study. The participants were divided into 2 groups according to the Rentrop score as satisfactory CCC (Rentrop 2-3) and poor CCC (Rentrop 0-1). Patients who had poor CCC had a higher CRP, neutrophil/lymphocyte ratio (NLR), and CAR levels compared with those who had satisfactory CCC ( P < .001, P = .046, P < .001, respectively). The CAR (odds ratio: 3.522, 95% CI: 2.515-4.932, P < .001), CRP, NLR, and diabetes mellitus were independent predictors of poor CCC. In receiver operator characteristic curve (ROC) analysis, the optimal cutoff value of CAR to predict poor CCC was 1.27 (area under ROC curve = 0.735 [95% CI: 0.667-0.803], P < .001). A raised CAR may be an independent predictor of poor CCC.