Quantitative myocardial perfusion positron emission tomography and caffeine revisited with new insights on major adverse cardiovascular events and coronary flow capacity

European Heart Journal - Cardiovascular Imaging

5 May 2019
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ESC Journals

Abstract

AbstractAims

To evaluate effects of caffeine on quantitative myocardial perfusion by positron emission tomography (PET) and associated major adverse cardiovascular events (MACE).

Methods and results

Serum caffeine was measured for all 6087 PETs with 328 positive results (5.4%). Paired caffeine positive/negative PETs (84 patients for dipyridamole with median caffeine 1.6 mg/L, and additional 25 volunteers for regadenoson with median caffeine 7.4 mg/L) were compared for quantitative perfusion. Multivariate regression analysis for associations among caffeine, clinical/imaging variables, predicted caffeine probability was performed. MACEs were followed up to 9 years after PETs. For caffeine vs. no caffeine, respectively, stress flow was 1.74 ± 0.55 vs. 2.14 ± 0.53 for dipyridamole and 1.82 ± 0.61 vs. 2.33 ± 0.49 mL/min/g for regadenoson, and coronary flow reserve (CFR) was 2.26 ± 0.67 vs. 2.67 ± 0.72 for dipyridamole and 1.84 ± 0.33 vs. 2.31 ± 0.41 for regadenoson (all P < 0.001). Subjects were reclassified from high-risk CFR ≤2.0 with caffeine to low-risk CFR >2.0 without caffeine in 66.7% and 80% of dipyridamole and regadenoson caffeine-no-caffeine pairs, respectively. While relative images showed no differences, caffeine significantly altered coronary flow capacity (CFC) to false negative and false positive severity in 2.1% and 5.5% of the 328 caffeine positives, respectively (0.1% and 0.3% of 6087 PETs) but without change in severity guided management in most patients (92.4% of 328 caffeine or 99.6% of total 6087 PETs).

Conclusion

Even low serum caffeine levels reduce quantitative perfusion during vasodilatory stress with false positive or false negative results minimized by empathic instruction, CFC analysis or repeat PET after strict caffeine abstention for definitive individualized risk stratification and management.

Contributors

Linh Bui
Linh Bui

Author

K Lance Gould
K Lance Gould

Author

UT McGovern Medical School Houston , United States of America