Open AccessSerum creatinine level changes and contrast-induced acute kidney injury in patients with stable coronary artery disease
Author(s) -
Olga Iu. Mironova,
В В Фомин
Publication year - 2020
Publication title -
consilium medicum
Language(s) - English
Resource type - Journals
eISSN - 2542-2170
pISSN - 2075-1753
DOI - 10.26442/20751753.2020.10.200358
Subject(s) - medicine , creatinine , renal function , coronary artery disease , kidney disease , acute kidney injury , logistic regression , risk factor , cardiology , contrast induced nephropathy , prospective cohort study , urology , surgery , percutaneous coronary intervention , myocardial infarction
Aim. The aim of our study was to assess the influence of different risk factors on the risk of contrast-induced acute kidney injury (CI-AKI) in patients with stable coronary artery disease (CAD). Materials and methods. Patients, who were receiving optimal medical therapy and had indications to coronary angiography and possible coronary angioplasty, with stable CAD were included in the study. We conducted an observational open prospective cohort study, which was registered in clinicaltrials.gov with ID NCT04014153. Results. We included 1023 patients with chronic CAD. Most of the patients, included in the study, were males aged 61.7±10.1 years with arterial hypertension and overweight. The rate of CI-AKI in this group was 12.9% (132 patients). The rate of CI-AKI using the absolute creatinine rise definition was 1.8% cases (18 cases). A logistic regression model was created, where baseline creatinine, baseline glomerular filtration rate and delta between baseline creatinine and creatinine level after contrast media administration were the most statistically significant risk factors. The AUC was 0.984 (95% CI 0.969–0.999; p<0.0001). Conclusion. The most significant risk factors in the logistic regression model created were baseline creatinine, baseline glomerular filtration rate and delta between baseline creatinine and creatinine level after contrast media administration were the most statistically significant risk factors.