Systemic Immune-Inflammation Index Is a Predictor of Contrast-Induced Nephropathy in Patients With ST-Segment Elevation Myocardial Infarction

• Published in: Angiology Vol. 73; no. 2; pp. 125 - 131
• Main Authors: Öztürk, Recep, İnan, Duygu, Güngör, Barış
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-02-2022
• Subjects: Contrast Media - adverse effects; Humans; Inflammation - diagnosis; Kidney Diseases - chemically induced; Kidney Diseases - diagnosis; Percutaneous Coronary Intervention - adverse effects; Risk Factors; ST Elevation Myocardial Infarction - diagnostic imaging; systemic immune-inflammation index; contrast-induced nephropathy; myocardial infarction
• ISSN: 0003-3197; 1940-1574
• DOI: 10.1177/00033197211029094

We evaluated the predictive value of admission systemic immune-inflammation index (SII) for the risk of contrast-induced nephropathy (CIN) in patients with ST-segment elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (pPCI). The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and SII (platelet × NLR) levels were calculated in 1621 consecutive patients with STEMI. The relationship of these parameters with CIN development within 72 hours of pPCI was analyzed. Of the study population, 343 (21.1%) cases developed CIN. The frequency of CIN was 11.1% in the first SII quartile, 11.6% in the second SII quartile, 26.8% in the third SII quartile, and 35% in the fourth SII quartile, which differed significantly between groups (P < .01). Age, baseline glomerular filtration rate, contrast media volume, hypertension, C-reactive protein levels, and the quartiles of SII were independent predictors of CIN. Patients in the third SII quartile versus first SII quartile (OR: 2.906, 95% CI, 1.903-4.437; P < .001), and fourth SII quartile versus first SII quartile (OR: 4.168, 95% CI, 2.754-6.313; P < .001) had a significantly higher risk for CIN in the multivariable model. The SII may be a promising inflammatory parameter to predict CIN after pPCI.