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Published in: Journal of Nuclear Cardiology 3/2012

01-06-2012 | Original Article

Effect of caffeine on adenosine-induced reversible perfusion defects assessed by automated analysis

Authors: Joseph C. Lee, MBBS, FRACP, John F. Fraser, MBChB, MRCP, PhD, Adrian G. Barnett, PhD, Leslie P. Johnson, PhD, Melinda G. Wilson, BAppSc, Catherine M. McHenry, BAppSc, Darren L. Walters, MBBS, FRACP, MPhil, Christopher R. Warnholtz, BAppSc, Frederick A. Khafagi, MBBS, FRACP

Published in: Journal of Nuclear Cardiology | Issue 3/2012

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Abstract

Objectives

This prospective study investigated the effects of caffeine ingestion on the extent of adenosine-induced perfusion abnormalities during myocardial perfusion imaging (MPI).

Methods

Thirty patients with inducible perfusion abnormalities on standard (caffeine-abstinent) adenosine MPI underwent repeat testing with supplementary coffee intake. Baseline and test MPIs were assessed for stress percent defect, rest percent defect, and percent defect reversibility. Plasma levels of caffeine and metabolites were assessed on both occasions and correlated with MPI findings.

Results

Despite significant increases in caffeine [mean difference 3,106 μg/L (95% CI 2,460 to 3,752 μg/L; P < .001)] and metabolite concentrations over a wide range, there was no statistically significant change in stress percent defect and percent defect reversibility between the baseline and test scans. The increase in caffeine concentration between the baseline and the test phases did not affect percent defect reversibility (average change −0.003 for every 100 μg/L increase; 95% CI −0.17 to 0.16; P = .97).

Conclusion

There was no significant relationship between the extent of adenosine-induced coronary flow heterogeneity and the serum concentration of caffeine or its principal metabolites. Hence, the stringent requirements for prolonged abstinence from caffeine before adenosine MPI—based on limited studies—appear ill-founded.
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Metadata
Title
Effect of caffeine on adenosine-induced reversible perfusion defects assessed by automated analysis
Authors
Joseph C. Lee, MBBS, FRACP
John F. Fraser, MBChB, MRCP, PhD
Adrian G. Barnett, PhD
Leslie P. Johnson, PhD
Melinda G. Wilson, BAppSc
Catherine M. McHenry, BAppSc
Darren L. Walters, MBBS, FRACP, MPhil
Christopher R. Warnholtz, BAppSc
Frederick A. Khafagi, MBBS, FRACP
Publication date
01-06-2012
Publisher
Springer-Verlag
Published in
Journal of Nuclear Cardiology / Issue 3/2012
Print ISSN: 1071-3581
Electronic ISSN: 1532-6551
DOI
https://doi.org/10.1007/s12350-012-9517-x

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