55 What is the diagnostic accuracy and prognostic value of non-invasive functional imaging techniques for the detection of coronary artery disease in patients with atrial fibrillation?

Author(s):  
Mary Mashicharan ◽  
Dhrubo Rakhit ◽  
Benoy Shah
2006 ◽  
Vol 79-80 (1) ◽  
pp. 187-202 ◽  
Author(s):  
M. M. Henneman ◽  
J. D. Schuijf ◽  
E. E. van der Wall ◽  
J. J. Bax

ESC CardioMed ◽  
2018 ◽  
pp. 1331-1339
Author(s):  
Jeroen J. Bax

The inclusion or exclusion of coronary artery disease is important for patient management, both from a diagnostic and prognostic view, as well as from a therapeutic view. Various detection techniques are available, including invasive (coronary angiography) or non-invasive imaging techniques. The techniques can also be divided into anatomical imaging or functional imaging, where anatomical imaging detects coronary atherosclerosis and stenosis (invasive coronary angiography, but also non-invasive coronary angiography—performed with multidetector computed tomography), while functional imaging (nuclear imaging, stress echocardiography, and cardiovascular magnetic resonance) detects ischaemia: the haemodynamic consequences of the atherosclerosis/stenosis. The early phase of atherosclerotic coronary artery disease is often asymptomatic (and anatomical imaging can be used to detect/exclude coronary atherosclerosis), whereas with progression of atherosclerotic disease, symptoms occur related to myocardial ischaemia. Non-invasive imaging can facilitate in the detection of both early (asymptomatic) and more advanced (symptomatic, ischaemic) coronary artery disease. The pathophysiological cascade of cardiac abnormalities that occur once ischaemia is induced is referred to as the ischaemic cascade. The ischaemic cascade consists of chronological development of perfusion abnormalities, followed by diastolic dysfunction, then systolic dysfunction, and finally electrocardiographic abnormalities. In this chapter, the variety of the different non-invasive imaging techniques to assess the different phases of the non-ischaemic part and the ischaemic part (ischaemic cascade) of coronary artery disease are described.


2015 ◽  
Vol 13 (12) ◽  
pp. 1325-1332 ◽  
Author(s):  
Tamar Bigvava ◽  
Seyedeh Mahsa Zamani ◽  
Elisabeth Pieske-Kraigher ◽  
Rolf Gebker ◽  
Burkert Pieske ◽  
...  

2014 ◽  
Vol 30 (8) ◽  
pp. 920-924 ◽  
Author(s):  
Grigorios Tsigkas ◽  
Georgia Kopsida ◽  
Ioanna Xanthopoulou ◽  
Periklis Davlouros ◽  
Nikolaos Koutsogiannis ◽  
...  

2021 ◽  
Vol 11 (3) ◽  
pp. 260-264
Author(s):  
Saodat Ya.. Abdullaeva ◽  
Aleksey G. Nikishin Nikishin ◽  
Gusal U. Mullabaeva ◽  
Feruza M. Bekmetova

The purpose of this study was to evaluate the prognostic value of HRV in elderly patients with multivessel coronary artery disease (MVCAD) on the background of invasive and non-invasive treatment. Methods and Results: This study included 254 patients over age 65 with lesions of the left trunk of the left coronary artery in combination with lesions of 2 or more coronary arteries. To assess HRV, all patients underwent 24-hour Holter ECG monitoring at baseline and one year later. Depending on the treatment strategy, patients were divided into 3 groups. Group 1 consisted of 99 patients who, in addition to the standard treatment, underwent PSI (from 1 to 4 stents); Group 2 included 86 patients who, in addition to the standard treatment, underwent CABG (from 2 to 4 shunts); Group 3 included 69 patients who received only optimal drug therapy (ODT). The results have shown that a decrease in HRV is an independent predictor of complications associated with an increase in coronary insufficiency in CAD patients. Such indicators of HRV as SDNN, SDNNi, TP, VLF, and LF have a significant positive predictive value in patients undergoing ODF and/or undergoing PCI. For patients undergoing CABG, at least in the first year after surgery, HRV cannot be considered as an independent prognostic marker. For elderly patients with MVCAD, 24-hour Holter ECG monitoring with subsequent analysis of HRV is recommended to assess the recovery process and pharmacotherapy.


2017 ◽  
Vol 18 (9) ◽  
pp. 980-987 ◽  
Author(s):  
Martijn W. Smulders ◽  
Caroline Jaarsma ◽  
Patricia J. Nelemans ◽  
Sebastiaan C.A.M. Bekkers ◽  
Jan Bucerius ◽  
...  

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