A normal stress SPECT scan is an effective gatekeeper for coronary angiography

J Nucl Cardiol. 2007 Apr;14(2):187-93. doi: 10.1016/j.nuclcard.2006.12.326.

Abstract

Background: The effectiveness of stress single photon emission computed tomography (SPECT) as a gatekeeper for coronary angiography has not been extensively investigated. The characteristics of patients referred for early angiography after a normal stress SPECT study have not been described.

Methods and results: Over a 10-year period, 14,273 patients without documented coronary artery disease (CAD) underwent stress SPECT. Images were abnormal in 47% and normal in 53%. The overall survival rate at 15 years was 55% for patients with abnormal images versus 71% for those with normal images (P < .001). Early coronary angiography (< or =3 months) was performed in only 97 patients (1.3%) with normal SPECT studies versus 1,756 patients (26%) with abnormal SPECT studies (P < .001). Most patients with normal SPECT studies referred for early angiography (85%) had clinical, exercise, or scintigraphic findings worrisome for CAD. Two thirds of these highly selected patients with normal SPECT studies who underwent angiography did not have significant CAD; the remaining one third had primarily 1- and 2-vessel CAD.

Conclusions: Stress SPECT is an effective gatekeeper for coronary angiography. The annual overall mortality rate for patients with normal images was 1.9%. Only 1.3% of patients with normal images were referred for early angiography.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Coronary Angiography / statistics & numerical data*
  • Coronary Artery Disease / diagnosis*
  • Coronary Artery Disease / mortality*
  • Exercise Test / statistics & numerical data*
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Referral and Consultation / statistics & numerical data*
  • Retrospective Studies
  • Risk Assessment / methods*
  • Risk Factors
  • Survival Analysis
  • Survival Rate
  • Tomography, Emission-Computed, Single-Photon / statistics & numerical data*
  • United States / epidemiology