P854Physiological patterns of coronary artery disease

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Jeroen ◽  
C Collet ◽  
B Vandeloo ◽  
T Mizukami ◽  
B Roosen ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Clinical Decision Making ◽  
Stable Coronary Artery Disease ◽  
Clinical Decision ◽  
Vessel Length ◽  
Coronary Pressure ◽  
Disease Patterns ◽  
The Mean ◽  
Artery Disease

Abstract Background Randomised controlled trials have confirmed the clinical benefit of invasive functional assessment to guide clinical decision making about myocardial revascularisation in patients with stable coronary artery disease. Treatment decision is based on one FFR value which provides a vessel-level metric as a surrogate of myocardial ischaemia. Also, the distribution of epicardial conductance can be evaluated using an FFR pullback manoeuvre. Purpose The objective of the present study is to characterise the physiological patterns of CAD using motorised coronary pressure pullbacks during continuous hyperaemia in patients with stable coronary artery disease. Methods Prospective, multicentre study of patients undergoing clinically-indicated coronary angiography. A pullback device, adapted to grip the coronary pressure wire, was set at a speed of 1 mm/sec. The pattern of CAD was adjudicated by visual inspection of the FFR pullback curves as focal, diffuse, or a combination of both mechanisms. Also, a quantitative classification of the physiological pattern of CAD was performed based on (1) the functional contribution of the epicardial lesion in relation to the total vessel FFR (Δlesion FFR/Δvessel FFR) and (2) the length (mm) of epicardial coronary segments with FFR drops in relation to the total vessel length. The combination of these two ratios, namely, lesion-related pressure drops (%FFR-lesion), and the extent of functional disease, resulted in the functional outcomes index (FOI), a metric that represents the pattern of CAD (i.e. focality or diffuseness) based on coronary physiology. Agreement on CAD patterns and between observers was assessed using Fleiss' Kappa. Analysis of variance (ANOVA) was used to compared quantitative variables. Correlation between variables was assessed by the Pearson moment coefficient. Results One hundred and fifty-eight vessels were included; 984,813 FFR values were used to generate the FFR pullback curves. Using motorised FFR pullbacks, 34% of the vessel disease patterns (i.e. focal, diffuse or combined) were reclassified compared to conventional angiography. The mean contribution of the angiographic lesions to the distal FFR (%FFR-lesion) was 61.7±25% whereas vessel length with the physiological disease was 59.8±21% of the total vessel length. The mean FOI was 0.61±0.17, and differentiated focal from diffuse CAD in terms of %FFR-lesion (p<0.001) and physiological extent of CAD (p<0.001). Conclusion Coronary angiography was inaccurate to assess the patterns of CAD. The inclusion of the functional component reclassified 34% of the vessel disease patterns (i.e. focal, diffuse or combined). A new metric, the FOI, based on the functional impact of anatomical lesions and the extent of physiological disease, discriminated focal from diffuse CAD. Further clinical trials are required to evaluate the usefulness of FOI for clinical decision making and outcomes.

scholarly journals Stabil coronariabetegség kezelésére alkalmazott trimetazidin prolong hatásosságának vizsgálata. Multicentrikus, prospektív, obszervációs, nyílt klinikai vizsgálat, ONECAPS-vizsgálat

2018 ◽  
Vol 159 (38) ◽  
pp. 1549-1555
Author(s):  
János Tomcsányi ◽  
László Szakács
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Stable Coronary Artery Disease ◽  
Real Life ◽  
Favorable Effect ◽  
Beneficial Effects ◽  
Canadian Cardiovascular Society Class ◽  
The Mean ◽  
Artery Disease ◽  
Antiischemic Effect

Abstract: Introduction: The effectiveness of the manegement of stable coronary artery disease among outpatients is not well known. Aim: The aim of the study was to evaluate the effect of daily once trimetazidine prolong 80 mg on the angina number and severity (Canadian Cardiovascular Society class). Method: This multicenter, prospective, observational, 3-month clinical study included 2160 patients, but only 1701 patients completed the study. The patients’ mean age was 68 years (17% under 60 years). The start of angina was 7.8 ± 6.7 years. Hypertension (93.4%) and hypercholesterolemia (81%) were very common. Results: The patients were well treated with beta-blocking agents (88%), calcium antagonists (49%), angiotensin-converting enzym inhibitors (90%) and statin (77%) but only 5% received ivabradine and 50.5% was treated with trimetazidine MR. The patients attended 3 visits (inclusion, 1 month, 3 month). During the 3-month period, the weekly angina number of all patients treated with trimetazidine prolong 80 mg decreased from 2.55 to 0.41 (p<0.0001). A favorable effect was observed in CCS grading: CCS I. from 40.37% to 66.81%, CCS II. from 49.89% to 30.59%, CCS III. from 9.17% to 2% and CCS IV. from 0.56% to 0%. The mean office measured blood pressure decreased from 137/83 mmHg to 130/80 mmHg and the heart rate from 74 bpm to 71 bpm. Conclusions: In the real-life, in the stable coronary artery disease the angina remains despite the medical treatment. Once a day administered trimetazidine prolong 80 mg significantly reduced the weekly number of angina and the severity, too. These beneficial effects mediated not only by antiischemic effect but also by increased medication adherence. Orv Hetil. 2018; 159(38): 1549–1555.

P855Evaluation of epicardial coronary resistance using computed tomography angiography

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T Mizukami ◽  
K Tanaka ◽  
J Sonck ◽  
B Vandeloo ◽  
B Roosens ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Stable Coronary Artery Disease ◽  
Mean Difference ◽  
Coronary Resistance ◽  
Fractional Flow ◽  
Non Invasive ◽  
The Mean ◽  
The Difference ◽  
Artery Disease

Abstract Background A Fractional flow reserve (FFR) pullback allows assessing the distribution of pressure loss along the vessel. FFR derived from CT (FFRCT) provides a virtual pullback curve that may also aid in the assessment of epicardial coronary resistance in the non-invasive setting. Purpose The present study aims to determine the accuracy of the virtual FFRCT pullback curve using a motorized invasive FFR pullback as reference in patients with stable coronary artery disease. Methods This is a single centre, prospective study of patients with stable coronary artery disease in whom FFRCT was performed as standard of care for non-invasive assessment. Patients referred to coronary angiography with clinically indicated invasive FFR measurement were included. FFRCT and invasive FFR values were extracted from coronary vessels every 1 mm to generate pullback curves. Invasive FFR pullbacks were acquired using a dedicated device at a speed of 1 mm/s. The area under the pullback curve (AUPC), defined as the sum of areas under the FFR pullback curve, was compared between FFRCT and invasive FFR pullbacks. Lesions were defined based on invasive angiography. FFR gradients in lesions and non-obstructive segments were defined as the difference between FFR values at the proximal and distal edge of the segments. FFR vessel gradient was defined as the difference between the most distal FFR value and the FFR at the ostium of the vessel. Mixed effect model was used to account for the correlation of FFR values within vessels. The agreement between FFRCT and FFR gradients was assessed using the Passing Bablok regression analysis and Bland-Altman methods at the vessel, lesion and non-obstructive level. Results A total of 3172 matched FFRCT and FFR values were obtained in 24 vessels. The correlation coefficient between FFRCT and FFR was 0.76 (95% CI 0.75 to 0.78; p<0.001). The mean difference between the FFRCT and invasive FFR pullback values was 0.07 (LOA −0.11 to 0.24). AUPC was similar between FFRCT and invasive FFR (79.0±16.1 vs. 85.3±16.4, p=0.097); the mean slope of FFRCT pullback curve was steeper compared to invasive FFR (p<0.001). The mean difference in lesion gradient was −0.07 (LOA −0.26 to 0.13) and −0.01 (LOA −0.06 to 0.05) in non-obstructive segments. There were no systematic or proportional differences between FFRCT and FFR gradients either in lesion or non-obstructive segments); however, vessel gradients were overestimated by FFRCT with a bias of −0.12 (LOA −0.35 to 0.12) driven by a higher mean difference in lesion gradients (−0.07; 95% CI −0.26 to 0.13). Conclusions The evaluation of epicardial coronary resistance using coronary CT angiography with FFRCT was feasible. FFRCT pullbacks were accurate in the assessment of lesion and non-obstructive gradients. FFRCT can identify the physiological pattern of coronary artery disease in the non-invasive setting.

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