Incremental prognostic information from kidney function in patients with new onset coronary heart disease

Am Heart J. 2014 Jan;167(1):86-92. doi: 10.1016/j.ahj.2013.10.006. Epub 2013 Oct 23.

Abstract

Background: Prognostic factors are usually evaluated by their statistical significance rather than by their clinical utility. Risk reclassification measures the extent to which a novel marker adds useful information to a prognostic model. The extent to which estimated glomerular filtration rate (eGFR) adds information about prognosis among patients with coronary heart disease is uncertain.

Methods: We studied patients in an integrated health care delivery system with newly diagnosed coronary heart disease. We developed a model of the risk of death over 2 years of follow-up and then added eGFR to the model and measured changes in C-index, net reclassification improvement, and integrated discrimination improvement.

Results: Almost half of the 31,533 study patients had reduced eGFR (<60 mL/min per 1.73 m(2)). Mortality was significantly higher among patients who had lower levels of eGFR, even after adjustment for baseline characteristics (P < .0001). The addition of eGFR to the prognostic model increased the C-index from 0.837 to 0.843, the net reclassification improvement by 3.2% (P < .0001), and integrated discrimination improvement by 1.3% (P = .007).

Conclusion: Estimated glomerular filtration rate is an informative prognostic factor among patients with incident coronary heart disease, independent of other clinical characteristics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Comorbidity
  • Coronary Artery Disease / epidemiology*
  • Coronary Artery Disease / mortality
  • Coronary Artery Disease / physiopathology*
  • Creatinine / blood
  • Female
  • Glomerular Filtration Rate*
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Odds Ratio
  • Prognosis
  • Renal Insufficiency / epidemiology*
  • Risk Assessment
  • Risk Factors

Substances

  • Creatinine