Muhammad Hammadah1, Ayman Alkhoder1, Ibhar Al Mheid1, Kobina Wilmot1, Nino Isakadze1, Naser Abdulhadi1, Danielle Chou2, Malik Obideen1, Wesley T O'Neal1, Samaah Sullivan2, Ayman Samman Tahhan1, Heval Mohamed Kelli1, Ronnie Ramadan1, Pratik Pimple2, Pratik Sandesara1, Amit J Shah3, Laura Ward2, Yi-An Ko4, Yan Sun2, Irina Uphoff1, Brad Pearce2, Ernest V Garcia5, Michael Kutner4, J Douglas Bremner6, Fabio Esteves5, David S Sheps7, Paolo Raggi8, Viola Vaccarino9, Arshed A Quyyumi10. 1. Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States. 2. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States. 3. Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Atlanta VA Medical Center, Decatur, GA, United States. 4. Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States. 5. Department of Radiology, Emory University School of Medicine, Atlanta, GA, United States. 6. Atlanta VA Medical Center, Decatur, GA, United States; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, United States. 7. University of Florida Health Science Center, Department of Medicine, Division of Cardiovascular Medicine, United States. 8. Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States; Department of Radiology, Emory University School of Medicine, Atlanta, GA, United States; Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, Alberta, Canada. 9. Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States. 10. Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, United States. Electronic address: aquyyum@emory.edu.
Abstract
AIMS: Mental stress-induced myocardial ischemia (MSIMI) in patients with coronary artery disease (CAD) is associated with adverse cardiovascular outcomes. We aim to assess hemodynamic, neuro-hormonal, endothelial, vasomotor and vascular predictors of MSIMI. METHODS AND RESULTS: We subjected 660 patients with stable CAD to 99mTc sestamibi myocardial perfusion imaging at rest, with mental (speech task) and with conventional (exercise/pharmacological) stress. Endothelium-dependent flow-mediated dilation (FMD), microvascular reactivity [reactive hyperemia index (RHI)] and arterial stiffness [pulse wave velocity (PWV)] were measured at rest and 30-min after mental stress. The digital microvascular vasomotor response during mental stress was assessed using peripheral arterial tonometry (PAT). A total of 106(16.1%) patients had MSIMI. Mental stress was accompanied by significant increases in rate-pressure-product (heart rate x systolic blood pressure; RPP), epinephrine levels and PWV, and significant decreases in FMD and PAT ratio denoting microvascular constriction. In comparison to those with no MSIMI, patients with MSIMI had higher hemodynamic and digital vasoconstrictive responses (p<0.05 for both), but did not differ in epinephrine, endothelial or macrovascular responses. Only presence of ischemia during conventional stress (OR of 7.1, 95%CI of 4.2, 11.9), high hemodynamic response (OR for RPP response≥vs<ROC cutoff of 1.8, 95%CI of 1.1, 2.8), and high digital vasoconstriction (OR for PAT ratio<vs≥ROC cutoff of 2.1, 95%CI of 1.3, 3.3) were independent predictors of MSIMI. CONCLUSION: Ischemia during conventional stress testing and hemodynamic and vasoconstrictive responses to mental stress can help predict subjects with CAD at greater risk of developing MSIMI.
AIMS: Mental stress-induced myocardial ischemia (MSIMI) in patients with coronary artery disease (CAD) is associated with adverse cardiovascular outcomes. We aim to assess hemodynamic, neuro-hormonal, endothelial, vasomotor and vascular predictors of MSIMI. METHODS AND RESULTS: We subjected 660 patients with stable CAD to 99mTc sestamibi myocardial perfusion imaging at rest, with mental (speech task) and with conventional (exercise/pharmacological) stress. Endothelium-dependent flow-mediated dilation (FMD), microvascular reactivity [reactive hyperemia index (RHI)] and arterial stiffness [pulse wave velocity (PWV)] were measured at rest and 30-min after mental stress. The digital microvascular vasomotor response during mental stress was assessed using peripheral arterial tonometry (PAT). A total of 106(16.1%) patients had MSIMI. Mental stress was accompanied by significant increases in rate-pressure-product (heart rate x systolic blood pressure; RPP), epinephrine levels and PWV, and significant decreases in FMD and PAT ratio denoting microvascular constriction. In comparison to those with no MSIMI, patients with MSIMI had higher hemodynamic and digital vasoconstrictive responses (p<0.05 for both), but did not differ in epinephrine, endothelial or macrovascular responses. Only presence of ischemia during conventional stress (OR of 7.1, 95%CI of 4.2, 11.9), high hemodynamic response (OR for RPP response≥vs<ROC cutoff of 1.8, 95%CI of 1.1, 2.8), and high digital vasoconstriction (OR for PAT ratio<vs≥ROC cutoff of 2.1, 95%CI of 1.3, 3.3) were independent predictors of MSIMI. CONCLUSION:Ischemia during conventional stress testing and hemodynamic and vasoconstrictive responses to mental stress can help predict subjects with CAD at greater risk of developing MSIMI.
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