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Evaluation of Coronary Flow Reserve After Myocardial Ischemia Reperfusion in Rats
Published on: June 28, 2019
Use of peripheral arterial tonometry in detection of abnormal coronary flow reserve
Marina Gaeta1, Armin Nowroozpoor1, James Dziura1
1Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States of America.
Insights
EndoPAT reactive hyperemia index (RHI) is not a reliable clinical screening tool for identifying low coronary flow reserve (CFR) using cardiac PET/CT. Further research is needed to understand differing vascular pathologies.
Area of Science:
- Cardiovascular diagnostics
- Vascular function assessment
- Medical imaging analysis
Background:
- Coronary artery disease (CAD) and coronary microvascular dysfunction (CMD) assessment relies on identifying low coronary flow reserve (CFR).
- EndoPAT measures reactive hyperemia index (RHI) as a potential non-invasive screening tool.
Purpose of the Study:
- To evaluate the utility of peripheral reactive hyperemia index (RHI) measured by EndoPAT as a clinical screening tool for detecting low coronary flow reserve (CFR).
Main Methods:
- Adults undergoing cardiac PET/CT for clinically indicated reasons had RHI measured.
- Low RHI was defined as <1.67 and low CFR as <2.5.
- Pearson correlation and AUC were used to analyze the relationship between RHI and CFR.
Main Results:
- Peripheral RHI did not correlate with CFR (r = -0.021, p = 0.83) and did not distinguish low from normal CFR (AUC = 0.53).
- Low RHI did not identify patients with traditional CAD risk factors or imaging evidence of CAD.
- Higher arterial stiffness (augmentation index) was observed with low RHI, but not with low CFR.
Conclusions:
- Peripheral RHI measured by EndoPAT is insufficient as a clinical screening tool for low CFR assessed by cardiac PET/CT.
- Discrepancies may stem from differences in the vascular pathologies evaluated by each method.
Background:
We assessed the utility of EndoPAT, a device that measures reactive hyperemia index (RHI) as a clinical screening tool for identifying low coronary flow reserve (CFR). Distinguishing normal from low CFR aids assessment for coronary microvascular dysfunction (CMD) or large vessel coronary artery disease (CAD).
Methods:
From June 2014-May 2019, in a convenience sample, we measured RHI in adults undergoing clinically indicated cardiac Rubidium-82 positron emission tomography/computed tomography (PET/CT) at a single center. Exclusion criteria were inability to consent, lack of English proficiency, and physical limitation. We defined low RHI as <1.67 and low CFR as <2.5. Distribution of RHI was skewed so we used its natural logarithm (LnRHI) to calculate Pearson correlation and area under the curve (AUC).
Results:
Of 265 patients with PET/CT, we enrolled 131, and 100 had adequate data. Patients had a mean age of 61 years (SD = 12), 46% were female, 29% non-white. Thirty-six patients had low RHI, and 60 had depressed CFR. LnRHI did not distinguish patients with low from normal CFR (AUC = 0.53; 95% Cl, 0.41-0.64) and did not correlate with CFR (r = -0.021, p = 0.83). Low RHI did not distinguish patients with traditional CAD risk factors, presence of calcification, or perfusion defect (p > 0.05). Conversely, mean augmentation index, a measure of arterial stiffness, was higher with low RHI (p = 0.005) but not CFR (p = 0.625). RHI was lower in patients we identified as CMD (low CFR, no perfusion defect and calcium score of 0) (1.88 versus 2.21, p = 0.35) although we were underpowered (n = 12) to meet statistical significance.
Conclusions:
Peripheral RHI is insufficient as a clinical screening tool for low CFR as measured by cardiac PET/CT. Differences in vascular pathology assessed by each method may explain this finding.
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