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Core 1. Cardiovascular ImagingSession Title: Computed Tomography: Coronary Artery II

Abstract 11565: Renal Dysfunction Predicts the Presence and Extent of Coronary Artery Disease on Coronary CT Angiography

Marcio S Bittencourt, Edward A Hulten, Suhny Abbara, Brian Ghoshhajra, Venkatesh L Murthy, Frank J Rybicki, Michael Steigner, Quynh A Truong, Thomas J Brady, Marcelo Di Carli, Udo Hoffmann, Ron Blankstein
Circulation. 2012;126:A11565
Marcio S Bittencourt
Internal Medicine, Brigham and Women's Hosp, Boston, MA
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Edward A Hulten
Internal Medicine, Brigham and Women's Hosp, Boston, MA
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Suhny Abbara
Radiology, Massachussets General Hosp, Boston, MA
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Brian Ghoshhajra
Radiology, Massachussets General Hosp, Boston, MA
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Venkatesh L Murthy
Internal Medicine, Brigham and Women's Hosp, Boston, MA
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Frank J Rybicki
Radiology, Brigham and Women's Hosp, Boston, MA
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Michael Steigner
Radiology, Brigham and Women's Hosp, Boston, MA
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Quynh A Truong
Radiology, Massachusetts General Hosp, Boston, MA
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Thomas J Brady
Radiology, Massachussets General Hosp, Boston, MA
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Marcelo Di Carli
Internal Medicine, Brigham and Women's Hosp, Boston, MA
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Udo Hoffmann
Radiology, Massachusetts General Hosp, Boston, MA
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Ron Blankstein
Internal Medicine, Brigham and Women's Hosp, Boston, MA
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Abstract

Background: Impaired renal function is a well known marker of cardiac risk. Prior data suggests it is associated with the extent of obstructive disease on invasive coronary angiography and with a higher coronary calcium score. However, no prior study has evaluated its association with the presence and severity of atherosclerosis evaluated by coronary computed tomography angiography (CCTA). We have aimed to evaluate the relationship between renal dysfunction, quantified by glomerular filtration rate (eGFR) and the presence and severity of coronary artery disease (CAD) by CCTA.

Methods: CCTA scans performed at two tertiary hospitals within Partners Healthcare system (Boston, Massachusetts) between 09/2004 and 10/2011 were retrospectively analyzed. We included all consecutive patients who underwent CCTA who were >18 years old without known prior CAD and had at least one value of creatinine available in a one year interval prior to the scan. The eGFR was estimated by the MDRD formula. CCTA was evaluated using the AHA/ACC 17-segment model. Each segment was categorized as normal, non-obstructive (<50%) or obstructive (≥50%). The extent of disease was calculated using scores based on the number of segments with non-obstructive and obstructive disease. The association of eGFR with the presence and extent of disease was computed using logistic regression.

Results: 1692 (40% female) patients were included. The mean age was 54.7 ± 13.7. 722 (43%) of the patients had no CAD on the coronary CT, 599 (35%) had non-obstructive and 371 (22%) had obstructive CAD. 434 patients had a eGFR >90 mL/min/1.73 m² (group 0), 1129 had a eGFR 60-90 mL/min/1.73 m² (group 1), 199 had eGFR between 45-60 mL/min/1.73 m² (group 2) and 74 had eGFR <45 mL/min/1.73 m² (group 3). The odds ratios (OR) were 1.27, 2.41 and 3.25 for groups 1-3, respectively, compared to group 0 for the presence of any CAD (p<0.0001). Similarly the ORs were 1.46, 2.82 and 5.02, respectively, for the presence of obstructive disease (p<0.0001). The eGFR was significantly associated with both the involvement and the severity scores (p<0.0001)

Conclusion: In comparison to individuals with normal renal function, reduced eGFR is associated with increased prevalence, greater extent, and worsened severity of CAD.

  • Computed tomography
  • Renal function
  • Coronary artery disease
  • Prognosis
  • © 2012 by American Heart Association, Inc.
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20 November 2012, Volume 126, Issue Suppl 21
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    Abstract 11565: Renal Dysfunction Predicts the Presence and Extent of Coronary Artery Disease on Coronary CT Angiography
    Marcio S Bittencourt, Edward A Hulten, Suhny Abbara, Brian Ghoshhajra, Venkatesh L Murthy, Frank J Rybicki, Michael Steigner, Quynh A Truong, Thomas J Brady, Marcelo Di Carli, Udo Hoffmann and Ron Blankstein
    Circulation. 2012;126:A11565, originally published January 6, 2016

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    Abstract 11565: Renal Dysfunction Predicts the Presence and Extent of Coronary Artery Disease on Coronary CT Angiography
    Marcio S Bittencourt, Edward A Hulten, Suhny Abbara, Brian Ghoshhajra, Venkatesh L Murthy, Frank J Rybicki, Michael Steigner, Quynh A Truong, Thomas J Brady, Marcelo Di Carli, Udo Hoffmann and Ron Blankstein
    Circulation. 2012;126:A11565, originally published January 6, 2016
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