OBJECTIVE: The incidence of contrast-induced nephropathy (CIN) is higher than 20% in patients with chronic kidney disease. In this study, we sought to define the predictors of CIN and develop a risk prediction tool in patients with chronic kidney disease.
PATIENTS AND METHODS: Patients aged 18 years and older who underwent invasive coronary angiography with an iodine-based contrast media between March 2014 and June 2017 were retrospectively analyzed. Independent predictors for CIN development were identified and a new risk prediction tool was created that included these predictors.
RESULTS: In total, 283 patients included in the study were divided into those who developed CIN (n=39, 13.8%) and those who did not (n=244, 86.2%). Male gender (OR: 4.874, 95% CI: 2.044-11.621), LVEF (OR: 0.965, 95% CI: 0.936-0.995), diabetes mellitus (OR: 1.711, 95% CI: 1.094-2.677), and e-GFR (OR: 0.880, 95% CI: 0.845-0.917), were identified as independent predictors for the development of CIN in the multivariate analysis. A new scoring system has been designed that can score a minimum of 0 and a maximum of 8 points. Patients with a new scoring system score of ≥4 were at approximately 40 times higher risk of developing CIN than others (OR: 39.9, 95% CI: 5.4-295.3). The area under the curve value of CIN’s new scoring system was 0.873 (95% CI, 0.821-0.925).
CONCLUSIONS: We found that four easily accessible and routinely collected variables, including sex, diabetes status, e-GFR, and LVEF, were independently associated with the development of CIN. We believe that using this risk prediction tool in routine clinical practice may guide physicians to use preventive medications and techniques in high-risk patients for CIN
