| Literature DB >> 30104545 |
Randy van Dijk1,2, Daan Ties3,4, Dirkjan Kuijpers5,6, Pim van der Harst7,8, Matthijs Oudkerk9.
Abstract
BACKGROUND: Caffeine is one of the most widely consumed stimulants worldwide. It is a well-recognized antagonist of adenosine and a potential cause of false-negative functional measurements during vasodilator myocardial perfusion. The aim of this systematic review is to summarize the evidence regarding the effects of caffeine intake on functional measurements of myocardial perfusion in patients with suspected coronary artery disease. Pubmed, Web of Science, and Embase were searched using a predefined electronic search strategy. Participants-healthy subjects or patients with known or suspected CAD. Comparisons-recent caffeine intake versus no caffeine intake. Outcomes-measurements of functional myocardial perfusion. Study design-observational. Fourteen studies were deemed eligible for this systematic review. There was a wide range of variability in study design with varying imaging modalities, vasodilator agents, serum concentrations of caffeine, and primary outcome measurements. The available data indicate a significant influence of recent caffeine intake on cardiac perfusion measurements during adenosine and dipyridamole induced hyperemia. These effects have the potential to affect the clinical decision making by re-classification to different risk-categories.Entities:
Keywords: adenosine; caffeine; coronary artery disease; dipyridamole; myocardial perfusion; regadenoson
Mesh:
Substances:
Year: 2018 PMID: 30104545 PMCID: PMC6115837 DOI: 10.3390/nu10081083
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Suggested molecular A2a-receptor effects showing adenosine agonism (A), caffeine antagonism (B), competitive antagonism of caffeine on adenosine (C), and competitive agonism of regadenoson on caffeine (D).
Patient characteristics of the studies included in the systematic review. Variables either presented as n, mean ± SD or n (%). CAD: coronary artery disease; N: number of patients; BMI: Body mass index; MPI: Myocardial perfusion imaging. * Intervention/control: Number of patients with caffeine intervention/number of patients without caffeine intervention.
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| Intervention/Controls * | Study Population | Age | Male | BMI | |
|---|---|---|---|---|---|---|
| SPECT | ||||||
| Smits 1991 | 8 | 8/0 | Ischemia on baseline MPI | 60 ± 7 | 3(38) | 28 ± 4 |
| Zoghbi 2006 | 30 | 30/0 | Ischemia on baseline MPI | 64 ± 9 | 22(73) | NS |
| Reyes 2008 | 30 | 12/0 | Ischemia on baseline MPI | 66 ± 6 | NS | 29 ± 4 |
| 18/0 | Ischemia on baseline MPI | 64 ± 7 | NS | 27 ± 3 | ||
| Lee 2012 | 30 | 30/0 | Ischemia on baseline MPI | 70 ± 8 | 21(70) | NS |
| Tejani 2014 | 207 | 0/66 70/0 71/0 | Ischemia on baseline MPI | 68 ± 10.0/65.7 ± 11/69.4 ± 8.2 | 55(83.3)/58(82.9/51(71.8) | NS |
| PET | ||||||
| Böttcher 1995 | 12 | 12/0 | healthy volunteers | 27 ± 6 | 7(58) | NS |
| Kubo 2004 | 10 | 10/0 | healthy volunteers | 31 ± 6 | 10(100) | NS |
| 10 | 10/0 | healthy volunteers | 31 ± 6 | 10(100) | NS | |
| MRI | ||||||
| Carlsson 2015 | 16 | 16/0 | healthy volunteers | 41 ± 3 | 8(50) | NS |
| Greulich 2017 | 30 | 30/0 | Ischemia on baseline MPI | 68 ± 8 | 25(83) | NS |
| van Dijk 2017 | 98 | 15/50 | suspected of CAD | 65 ± 11 | 46(49) | NS |
| 9/24 | suspected of CAD | 65 ± 11 | 46(49) | NS | ||
| ICA | ||||||
| Matsumoto 2014 | 42 | 28/14 | Intermediate stenosis | 70 ± 8/69 ± 10 | 21(75)/11(79) | 24 ± 3/23 ± 4 |
| 42 | 28/14 | Intermediate stenosis | 70 ± 8/69 ± 10 | 21(75)/11(79) | 24 ± 3/23 ± 4 | |
| 42 | 28/14 | Intermediate stenosis | 70 ± 8/69 ± 10 | 21(75)/11(79) | 24 ± 3/23 ± 4 | |
| Mutha 2014 | 10 | 10/0 | Intermediate stenosis | 60 ± 9 | 8(80) | NS |
| Aqel 2004 | 10 | 10/0 | patients with CAD | 53 ± 8 | 10(100) | NS |
| Nakayama 2018 | 30 | 15/15 | patients with significant CAD | 69 ± 10 | 25(83) | 24 ± 3 |
| 30 | 15/15 | patients with significant CAD | 69 ± 10 | 25(83) | 24 ± 3 |
Study design details concerning vasodilator agent, caffeine, and main findings. * Timing of caffeine intervention prior to the examination. Continuous variables either reported as mean ± standard deviation or median (interquartile range).
| Vasodilator | Dosage | Caffeine Dosage | Serum Concentration | Timing * | Main Finding | ||
|---|---|---|---|---|---|---|---|
| SPECT | |||||||
| Smits 1991 | Dipyridamole | 0.56 mg/kg | 4 mg/kg i.v. | 9.7 ± 1.3 mg/L | 30 min | Redistribution score caffeine 2.0 ± 1.1 vs. 9.0 ± 0.9 baseline | <0.05 |
| Zoghbi 2006 | Adenosine | 140 µg/kg/min | 8 oz cup of coffee | 3.1 ± 1.6 mg/L | 1 h | SDS caffeine 3.9 ± 2.3 vs. 3.8 ± 1.9 without caffeine | 0.8 |
| Reyes 2008 | Adenosine | 140 µg/kg/min | 2 shots espresso | 6.2 ± 2.6 | 1 h | SDS caffeine 4.1 ± 2.1 vs. baseline 12.0 ± 4.4 | <0.001 |
| Adenosine | 210 µg/kg/min | 2 shots espresso | 5.7 ± 2.0 | 1 h | SDS caffeine 7.8 ± 4.2 vs. baseline 7.7 ± 4.0 | 0.7 | |
| Lee 2012 | Adenosine | 140 µg/kg/min | one cup of coffee | 3.4 mg/L range 0.7–10.4 | 1 h | mean difference stress percent defect −1.6 | 0.3 |
| Tejani 2014 | Regadenoson | 400 µg | placebo, 200 mg or 400 mg caffeine orally | NS | 1.5 h | mean difference number of ischemic segments after 200 mg −0.61 ± 1.097, 400 mg −0.62 ± 1.367, placebo −0.12 ± 0.981 | <0.001 |
| PET | |||||||
| Böttcher 1995 | Dipyridamole | 560 µg/kg | 1–2 cups of coffee | range 0–8 mg/L | 1–4 h | Flow reserve caffeine 2.3 ± 0.7 vs. 3.4 ± 0.8 | <0.001 |
| Kubo 2004 | Dipyridamole | 560 µg/kg | 2–3 cups of coffee | 3.3 ± 1.3 mg/L | 1.5 h | MFR caffeine 2.25 ± 0.94 vs. baseline 4.11 ± 1.44 | <0.005 |
| ATP | 160 µg/kg/min | 2–3 cups of coffee | 3.1 ± 1.6 mg/L | 1.5 h | MFR caffeine 2.44 ± 0.88 vs. baseline 5.15 ± 1.64 | <0.005 | |
| MRI | |||||||
| Carlsson 2015 | Adenosine | 140 µg/kg/min | minimal 6 g instant coffee | NS | 12 vs. 24 h | CsFR 12 h 4.31 ± 0.57 vs. 24 h 5.32 ± 0.76 | 0.03 |
| Greulich 2017 | Adenosine | 140 µg/kg/min | 200 mg orally | 4.6 ± 2.2 mg/L | 1 h | Ischemic burden 6.9 ± 3.5 caffeine vs. 7.9 ± 3.5 baseline | <.001 |
| van Dijk 2017 | Adenosine | 140 µg/kg/min | 1–2 cups of coffee | NS | <4 h | T1 reactivity caffeine −7.8 ± 5.0 vs. control 4.3 ± 2.8 | <0.001 |
| Regadenoson | 400 µg | 1–2 cups of coffee | NS | <4 h | T1 reactivity caffeine 4.4 ± 3.2 vs. control 5.4 ± 2.4 | 0.4 | |
| ICA | |||||||
| Matsumoto 2014 | Adenosine | 140 µg/kg/min | 20 patients 100 or 200 mg orally | 2.9[1.8–4.6] mg/L | NS | FFR caffeine 0.81 ± 0.09 vs. 0.78 ± 0.09 papaverine | <0.001 |
| Adenosine | 170 µg/kg/min | 20 patients 100 or 200 mg orally | 2.9[1.8–4.6] mg/L | NS | FFR caffeine 0.81 ± 0.09 vs. 0.78 ± 0.09 papaverine | <0.01 | |
| Adenosine | 210 µg/kg/min | 20 patients 100 or 200 mg orally | 2.9[1.8–4.6] mg/L | NS | FFR caffeine 0.79 ± 0.09 vs. 0.78 ± 0.09 papaverine | 0.01 | |
| Mutha 2014 | Adenosine | 140 µg/kg/min | 4 mg/kg i.v. | 16.4 ± 5.5 mg/L | 7 min | FFR caffeine 0.82 ± 0.11 vs. 0.79 ± 0.07 baseline | 0.15 |
| Aqel 2004 | Adenosine | 30–50 µg bolus i.c. | 4 mg/kg i.v. | 3.8 ± 1.3 mg/L | 5 min | FFR caffeine 0.75 ± 0.14 vs. 0.76 ± 0.13 | 0.7 |
| Nakayama 2018 | ATP | 140 µg/kg/min | 222 mg orally | 7.3 ± 2.0 mg/L | 2 min | FFR caffeine 0.78 ± 0.12 vs. FFR papaverine 0.75 ± 0.14 | 0.002 |
| ATP | 170 µg/kg/min | 222 mg orally | 7.3 ± 2.0 mg/L | 2 h | FFR caffeine 0.77 ± 0.12 vs. FFR papaverine 0.75 ± 0.14 | 0.007 | |
Study quality assessment. Red: High, Low: Green, Orange: Unclear risk of either bias (patient selection bias, analysis bias) or applicability concerns (intervention and timing interval possibly not reflection of clinical practice).
| Patient Selection | Intervention | Analysis | Timing Interval | |
|---|---|---|---|---|
| SPECT | ||||
| Smits 1991 | ||||
| Zoghbi 2006 | ||||
| Reyes 2008 | ||||
| Lee 2012 | ||||
| Tejani 2014 | ||||
| PET | ||||
| Böttcher 1995 | ||||
| Kubo 2004 | ||||
| CMR | ||||
| Carlsson 2015 | ||||
| Greulich 2017 | ||||
| van Dijk 2017 | ||||
| ICA | ||||
| Matsumoto 2014 | ||||
| Mutha 2004 | ||||
| Aqel 2004 | ||||
| Nakayama 2018 |