Risk Prediction of Contrast-Induced Nephropathy

Peter A. McCullough*, Andy Adam, Christoph R. Becker, Charles Davidson, Norbert Lameire, Fulvio Stacul, James Tumlin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

352 Scopus citations


In order to make appropriate decisions about clinical management, it is important for physicians to be able to stratify patients according to their risk for contrast-induced nephropathy (CIN). The most important risk marker for nephropathy after exposure to iodinated contrast media is preexisting renal impairment. The risk of CIN is elevated and becomes clinically important in patients with chronic kidney disease characterized by an estimated glomerular filtration rate <60 mL/min per 1.73 m2. In patients with renal impairment, diabetes mellitus amplifies the risk of CIN and complicates postprocedure management. Other markers associated with an increased risk of CIN include cardiovascular disease, periprocedural hemodynamic instability, use of nephrotoxic drugs, and anemia. The effect of risk factors is additive, and the presence of multiple risk factors in the same patient can create a very high risk for CIN and acute renal failure requiring dialysis. Risk models incorporating baseline and periprocedural characteristics have been developed using data from large databases of percutaneous coronary intervention patients. These schemes are potentially valuable, but at present the most practical approach to risk prediction is based on a simple model incorporating renal function and diabetes mellitus.

Original languageEnglish (US)
Pages (from-to)27-36
Number of pages10
JournalAmerican Journal of Cardiology
Issue number6 SUPPL. 1
StatePublished - Sep 18 2006

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine


Dive into the research topics of 'Risk Prediction of Contrast-Induced Nephropathy'. Together they form a unique fingerprint.

Cite this