Renal function and risk stratification of diabetic and nondiabetic patients undergoing evaluation for coronary artery disease.

Published

Journal Article

OBJECTIVES: The aim of this study was to evaluate the impact of renal function by estimated glomerular filtration rate (eGFR) on risk stratification of diabetic and nondiabetic patients undergoing myocardial perfusion imaging (MPI) by single-photon emission computed tomography for suspected ischemia. BACKGROUND: Coronary artery disease is the leading cause of death among diabetic persons; however, diabetic persons are a very heterogeneous group in terms of cardiovascular risk, necessitating further risk stratification. METHODS: Patients (n = 1,747, age 65 +/- 10 years, 37% diabetic) undergoing MPI were followed for cardiac death (CD) for a mean of 2.15 +/- 0.8 years. Chronic kidney disease (CKD) was defined by an eGFR <60 ml/min. RESULTS: In the presence of a normal scan, annual CD rate was 0.9% for those with no diabetes mellitus (DM) and no CKD, 0.5% in the DM alone group, 2.35% in CKD alone, and 2.9% in those with both DM and CKD (p < 0.001). Patients with DM+CKD had a 2.7-fold risk of CD compared with no DM no CKD (p = 0.001) after controlling for age, ejection fraction, history of coronary artery disease, and other risk factors. The risk of CD increased as a function of the presence and severity of perfusion defects, regardless of CKD or DM status. Presence of CKD conferred a several-fold higher risk of CD for the various strata of perfusion defects. Log-rank test for difference in probability of CD was nonsignificant for comparison between patients with no DM no CKD and those with DM alone (p = 0.73) but was significant for comparison between patients with no DM no CKD and patients with CKD alone (p < 0.001) or DM+CKD (p < 0.001). CONCLUSIONS: MPI and eGFR provide valuable risk stratification for diabetic and nondiabetic patients. Diabetic patients without CKD seem to have similar short-term cardiac outcomes compared with nondiabetic patients. Underlying CKD seems to identify a high-risk subgroup of diabetic patients.

Full Text

Duke Authors

Cited Authors

  • Hakeem, A; Bhatti, S; Karmali, KN; Dillie, KS; Cook, JR; Xu, J; Samad, Z; Chang, SM

Published Date

  • July 2010

Published In

Volume / Issue

  • 3 / 7

Start / End Page

  • 734 - 745

PubMed ID

  • 20633852

Pubmed Central ID

  • 20633852

Electronic International Standard Serial Number (EISSN)

  • 1876-7591

Digital Object Identifier (DOI)

  • 10.1016/j.jcmg.2010.06.001

Language

  • eng

Conference Location

  • United States