Cardiovascular Revascularization Medicine
Volume 13, Issue 1 , Pages 3-10, January 2012

The evaluation of creatinine clearance, estimated glomerular filtration rate and serum creatinine in predicting contrast-induced acute kidney injury among patients undergoing percutaneous coronary intervention☆☆

  • Alina M. Robert

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Jeremiah R. Brown

      Affiliations

    • The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College and Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Mandeep S. Sidhu

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Vijay S. Ramanath

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • James T. DeVries

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • John E. Jayne

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Bruce D. Hettleman

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Bruce J. Friedman

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Nathaniel W. Niles II

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Aaron V. Kaplan

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • David J. Malenka

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • John F. Robb

      Affiliations

    • Dartmouth Medical School, Dartmouth Hitchcock Medical Center, Cardiology, Lebanon, NH, USA
  • ,
  • Craig A. Thompson

      Affiliations

    • Yale University School of Medicine, Yale-New Haven Hospital, Cardiology, New Haven, CT, USA
    • Corresponding Author InformationCorresponding author. PO Box 208017, Yale University School of Medicine, New Haven, CT, 06517, USA.
  • ,
  • for the Dartmouth Dynamic Registry Investigators

Received 22 January 2011; received in revised form 17 May 2011; accepted 23 May 2011. published online 17 November 2011.

Abstract 

Purpose

The purpose of the study was to compare creatinine clearance (CrCl), estimated glomerular filtration rate (eGFR) and serum creatinine (SCr) in predicting contrast-induced acute kidney injury (CI-AKI), dialysis and death following percutaneous coronary intervention (PCI).

Methods and Materials

Data were prospectively collected on 7759 consecutive patients within the Dartmouth Dynamic Registry undergoing PCI between January 1, 2000, and December 31, 2006. Renal function was measured at baseline and within 48 h after PCI using three methods: CrCl using the Cockcroft–Gault equation, eGFR using the abbreviated Modification of Diet in Renal Disease equation and SCr. We compared CrCl, eGFR and SCr in predicting CI-AKI, post-PCI dialysis-dependent renal failure and in-hospital mortality. Areas under the receiver operating characteristic curve (ROC) were calculated using logistic regression and tested for equality.

Results

On univariable analysis, CrCl [ROC: 0.69; 95% confidence interval (CI): 0.67–0.72] predicted CI-AKI better than eGFR (ROC: 0.67; 95% CI: 0.64–0.70) (P=.013) and SCr (ROC: 0.64; 95% CI: 0.61–0.67) (P<.001). Creatinine clearance (ROC: 0.73; 95% CI: 0.69–0.77) and eGFR (ROC: 0.70; 95% CI: 0.65–0.74) outperformed SCr for predicting in-hospital mortality. On multivariable analysis, CrCl (ROC: 0.77; 95% CI: 0.75–0.80), SCr (ROC: 0.78; 95% CI: 0.76–0.80) and eGFR (ROC: 0.77; 95% CI: 0.75–0.80) predicted CI-AKI well. Creatinine clearance (ROC: 0.88; 95% CI: 0.85–0.90) and eGFR (ROC: 0.87; 95% CI: 0.85–0.90) were strong independent predictors of in-hospital mortality.

Conclusions

Creatinine clearance, eGFR and SCr predict CI-AKI equally well. Creatinine clearance and eGFR are strong independent predictors of in-hospital mortality.

Keywords: Angioplasty, Contrast media, Kidney, Contrast-induced nephropathy

 

 Disclosures: There are no conflicts of interest to disclose.

☆☆ Funding sources: Dr. Brown is funded by the career development grant K01HS18443 from the Agency for Healthcare Research and Quality.

PII: S1553-8389(11)00465-9

doi:10.1016/j.carrev.2011.05.006

Cardiovascular Revascularization Medicine
Volume 13, Issue 1 , Pages 3-10, January 2012