C-Reactive Protein/Albumin Ratio as a Novel Predictor of Contrast Induced Nephropathy in Patients With Stable Angina Pectoris.
Ibrahim Halil AltiparmakZülkif TanrıverdiMustafa Begenç TaşcanovFatih GungorenAsuman BiçerHalil FedaiKenan ToprakAli Nizami ElmasRecep DemirbağPublished in: Angiology (2022)
The relationship between C-reactive protein (CRP) to albumin ratio (CAR) and contrast-induced nephropathy (CIN) in patients with acute coronary syndrome has been reported. However, the relevance of CAR in patients with stable angina pectoris (SAP) has not been clarified. We hypothesized that CAR might predict the development of CIN in patients with SAP undergoing coronary angiography (CAG). Patients ( n = 554) with SAP who underwent CAG were included in the study. CIN was defined as a ≥25% increase in serum creatinine compared with baseline value within 72 h of CAG. Participants were divided into two groups: CIN ( n = 87) and non-CIN ( n = 467). Age, CRP, CAR, mean corpuscular volume (MCV), urea, uric acid, contrast medium volume, the percent of percutaneous coronary intervention were significantly greater, whereas albumin and high-density lipoprotein were significantly lower in the CIN group than non-CIN group ( p < .05, for all). Multivariate analysis showed that CAR was the only independent predictor for CIN (odds ratio = 7.065, 95% confidence interval (CI); 3.279-15.221, p < .001). Receiver operating characteristic ROC analysis showed that a CAR ≥ 0.1164 could predict CIN (sensitivity of 71% and specificity of 72%; area under curve = 0.736; 95% CI: 0.677-0.795, p < .001). CAR was significantly greater in patients who developed CIN and this independently predicted CIN.
Keyphrases
- uric acid
- percutaneous coronary intervention
- magnetic resonance
- coronary artery disease
- high density
- coronary artery
- metabolic syndrome
- end stage renal disease
- acute myocardial infarction
- high glucose
- newly diagnosed
- computed tomography
- magnetic resonance imaging
- ejection fraction
- peritoneal dialysis
- endothelial cells
- data analysis
- drug induced