Aortic stiffness is increased in patients with premature coronary artery disease: A tissue Doppler imaging study

Güngör, Barış; Yilmaz, Hale; Ekmekçi, Ahmet; Özcan, Kazım Serhan; Tijani, Mohamedou; Osmonov, Damirbek; Karataş, Baran; Alper, Ahmet Taha; Mutluer, Ferit Onur; Gürkan, Ufuk; Bolca, Osman

doi:10.1016/j.jjcc.2013.08.008

Cited by 26 publications

(20 citation statements)

References 36 publications

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“…In [63], it is reported that arterial stiffness is increased in patients with premature coronary disease. However, the patient's diagnostic cardiac catheterization revealed no signs of significant coronary obstruction.…”

Section: A Patient Description and Data Acquisitionmentioning

confidence: 99%

An Anatomically Detailed Arterial Network Model for One-Dimensional Computational Hemodynamics

Blanco

Watanabe

Passos

et al. 2015

IEEE Trans. Biomed. Eng.

131

170

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Simulation platforms are increasingly becoming complementary tools for cutting-edge cardiovascular research. The interplay among structural properties of the arterial wall, morphometry, anatomy, wave propagation phenomena, and ultimately, cardiovascular diseases continues to be poorly understood. Accurate models are powerful tools to shed light on these open problems. We developed an anatomically detailed computational model of the arterial vasculature to conduct 1-D blood flow simulations to serve as simulation infrastructure to aid cardiovascular research. An average arterial vasculature of a man was outlined in 3-D space to serve as geometrical substrate for the mathematical model. The architecture of this model comprises almost every arterial vessel acknowledged in the medical/anatomical literature, with a resolution down to the luminal area of perforator arteries. Over 2000 arterial vessels compose the model. Anatomical, physiological, and mechanical considerations were employed for the set up of model parameters and to determine criteria for blood flow distribution. Computational fluid dynamics was used to simulate blood flow and wave propagation phenomena in such arterial network. A sensitivity analysis was developed to unveil the contributions of model parameters to the conformation of the pressure waveforms. In addition, parameters were modified to target model to a patient-specific scenario. On the light of the knowledge domain, we conclude that the present model features excellent descriptive and predictive capabilities in both patient-generic and patient-specific cases, presenting a new step toward integrating an unprecedented anatomical description, morphometric, and simulations data to help in understanding complex arterial blood flow phenomena and related cardiovascular diseases.

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Section: A Patient Description and Data Acquisitionmentioning

confidence: 99%

An Anatomically Detailed Arterial Network Model for One-Dimensional Computational Hemodynamics

Blanco

Watanabe

Passos

et al. 2015

IEEE Trans. Biomed. Eng.

131

170

View full text Add to dashboard Cite

show abstract

“…However, the mechanisms underlying the minimal elevations of the serum TnT are not yet fully understood. On the other hand, increased arterial stiffness/abnormal central hemodynamics have been much focused on as independent risk factors for cardiovascular events [7][8][9][10]. Bai et al reported the existence of a correlation between increased arterial stiffness, as reflected by the carotid-femoral pulse wave velocity, and minimal elevations of the serum cTnT levels in elderly Chinese subjects [11].…”

Section: Introductionmentioning

confidence: 99%

Correlations of arterial stiffness/central hemodynamics with serum cardiac troponin T and natriuretic peptide levels in a middle-aged male worksite cohort

Kimura

Tomiyama

Matsumoto

et al. 2015

Journal of Cardiology

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“…Güngör et al demonstrated that the early diastolic velocity of the anterior wall of the ascending aorta measured with pulse‐wave tissue Doppler imaging echocardiography correlates with arterial stiffening and is decreased in patients with premature CAD 36. However, the tissue Doppler imaging technique is angle dependent and is influenced by tethering or translational motion 15.…”

Section: Discussionmentioning

confidence: 99%

Ascending Aortic Strain Analysis Using 2‐Dimensional Speckle Tracking Echocardiography Improves the Diagnostics for Coronary Artery Stenosis in Patients With Suspected Stable Angina Pectoris

Fan

et al. 2018

JAHA

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BackgroundArterial stiffening and atherosclerosis tend to coexist. Strain imaging, using a 2‐dimensional speckle tracking (2D‐ST) method, has been used for arterial stiffness assessment and early identification of atherosclerosis. We investigated whether the ascending aortic strain assessed by 2D‐ST echocardiography at rest can predict the presence of coronary artery disease (CAD).Methods and ResultsTwo hundred seventy‐one consecutive patients with suspected stable angina pectoris sequentially underwent exercise treadmill testing, 2‐dimensional echocardiography, M‐mode echocardiography, 2D‐ST echocardiography, and coronary angiography. Circumferential ascending aortic strain (CAAS) and radial ascending aortic strain were assessed by 2D‐ST echocardiography. Ninety‐two patients with coronary lumen area stenosis ≥70% were categorized as having significant CAD. Global CAAS was significantly lower in patients with significant CAD (7.41±2.30% versus 11.54±4.03%; P<0.001) and remained an independent predictor of significant CAD (odds ratio, 0.64 [0.54–0.75]; P<0.001) after multivariate regression. Based on the receiver operating characteristic curve for diagnosing significant CAD, the optimal cut‐off value of global CAAS was ≤9.22% (sensitivity, 86%; specificity, 70%; area under curve=0.82; P<0.001). Global CAAS decreased with increasing severity of CAD and was significantly associated with 3‐vessel disease (odds ratio, 0.58 [0.42–0.79]; P<0.001). Diagnostics for significant CAD were remarkably better for global CAAS combined with exercise treadmill testing than for exercise treadmill testing alone (area under curve=0.88 versus 0.78; P<0.001).ConclusionsGlobal CAAS assessed by 2D‐ST echocardiography at rest was able to predict the presence of significant CAD and identify multivessel disease. In addition, global CAAS combined with exercise treadmill testing remarkably improved the diagnostics for significant CAD.

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Aortic stiffness is increased in patients with premature coronary artery disease: A tissue Doppler imaging study

Abstract: Arterial stiffness is increased in patients with premature CAD. EAo of the anterior wall of ascending aorta measured with pulse-wave TDI echocardiography is correlated with arterial stiffening and is decreased in patients with premature CAD.

Cited by 26 publications

References 36 publications

An Anatomically Detailed Arterial Network Model for One-Dimensional Computational Hemodynamics

An Anatomically Detailed Arterial Network Model for One-Dimensional Computational Hemodynamics

Correlations of arterial stiffness/central hemodynamics with serum cardiac troponin T and natriuretic peptide levels in a middle-aged male worksite cohort

Ascending Aortic Strain Analysis Using 2‐Dimensional Speckle Tracking Echocardiography Improves the Diagnostics for Coronary Artery Stenosis in Patients With Suspected Stable Angina Pectoris

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