Incremental prognostic value of kidney function decline over coronary artery disease for cardiovascular event

Marcio S Bittencourt1, Edward A Hulten2, Brian Ghoshhajra3

  • 11] Department of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA [2] Heart Institute (InCor), University of São Paulo, São Paulo, Brazil.

Kidney International
|January 29, 2015
PubMed

Insights

Mild chronic kidney disease (CKD) independently predicts cardiovascular events and death, even in patients without coronary artery disease (CAD). Combining CKD assessment with coronary computed tomography angiography (CCTA) improves risk prediction for cardiovascular events.

Area of Science:

  • Cardiology
  • Nephrology
  • Medical Imaging

Background:

  • Cardiovascular disease (CVD) is a leading cause of mortality.
  • Chronic kidney disease (CKD) is an independent risk factor for CVD.
  • The combined impact of CKD and coronary artery disease (CAD) on cardiovascular prognosis requires further elucidation.

Purpose of the Study:

  • To investigate the independent and combined roles of CKD and CAD in predicting adverse cardiovascular outcomes.
  • To assess the predictive value of coronary computed tomography angiography (CCTA) in conjunction with kidney function for cardiovascular events.

Main Methods:

  • A registry-based study including 1541 patients referred for CCTA.
  • Patients were categorized based on the presence and severity of CAD (normal, nonobstructive, obstructive).
  • Estimated glomerular filtration rate (eGFR) was used to assess kidney function (eGFR < 60 ml/min/1.73 m²).

Main Results:

  • Both the presence/severity of CAD and reduced eGFR were significantly associated with increased rates of cardiovascular death, myocardial infarction, and all-cause death.
  • Reduced eGFR independently predicted adverse outcomes, even in patients without obstructive CAD.
  • Integrating eGFR into models with clinical variables and CCTA findings significantly improved the prediction of cardiovascular events.

Conclusions:

  • Renal dysfunction is a significant predictor of cardiovascular events in patients undergoing CCTA for CAD evaluation.
  • The combination of eGFR and CAD assessment via CCTA enhances the prediction of future cardiovascular events and mortality.
  • CKD contributes to cardiovascular risk, particularly through non-coronary cardiovascular events.

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