11 research outputs found
Validation of coronary flow reserve measurements by thermodilution in clinical practice.
Contains fulltext :
59099.pdf (publisher's version ) (Closed access)BACKGROUND: Coronary flow reserve (CFR) and fractional flow reserve (FFR) provide complementary information on the coronary circulation. Using a pressure wire, it is possible to calculate CFR by thermodilution (CFR(thermo)), so that FFR and CFR can be measured with a single guide wire. The present multicentric study was performed to compare the feasibility of CFR(thermo)obtained with an improved algorithm and a standardized injection technique and its agreement with Doppler-derived CFR (CFR(Doppler)). METHODS AND RESULTS: In 86 patients with coronary artery disease recruited during 1 week in eight centres FFR, CFR(thermo)and CFR(Doppler)were measured. FFR could be obtained in all patients (100%). An optimal CFR(Doppler)could be obtained in 69% of the patients. CFR(thermo)could be obtained in 97% of the patients. A significant correlation was found between CFR(Doppler)and CFR(thermo)(r=0.79, P<0.0001) but CFR(thermo)tended to be higher than CFR(Doppler). CONCLUSIONS: In a setting close to 'real world' practice, this multicentric study confirms the feasibility and reliability of thermodilution-derived CFR. In addition, the safety and the swiftness of assessing FFR and CFR with one single guide wire makes the latter a unique clinical tool for the evaluation of the coronary circulation
Validation of coronary flow reserve measurements by thermodilution in clinical practice.
BACKGROUND: Coronary flow reserve (CFR) and fractional flow reserve (FFR) provide complementary information on the coronary circulation. Using a pressure wire, it is possible to calculate CFR by thermodilution (CFR(thermo)), so that FFR and CFR can be measured with a single guide wire. The present multicentric study was performed to compare the feasibility of CFR(thermo)obtained with an improved algorithm and a standardized injection technique and its agreement with Doppler-derived CFR (CFR(Doppler)). METHODS AND RESULTS: In 86 patients with coronary artery disease recruited during 1 week in eight centres FFR, CFR(thermo)and CFR(Doppler)were measured. FFR could be obtained in all patients (100%). An optimal CFR(Doppler)could be obtained in 69% of the patients. CFR(thermo)could be obtained in 97% of the patients. A significant correlation was found between CFR(Doppler)and CFR(thermo)(r=0.79, P<0.0001) but CFR(thermo)tended to be higher than CFR(Doppler). CONCLUSIONS: In a setting close to 'real world' practice, this multicentric study confirms the feasibility and reliability of thermodilution-derived CFR. In addition, the safety and the swiftness of assessing FFR and CFR with one single guide wire makes the latter a unique clinical tool for the evaluation of the coronary circulation
Translesional Pressure Ratio Predicts Technical Outcome and Patency in Angioplasty on Outflow Stenosis of Hemodialysis Graft
Prediction Power on Cardiovascular Disease of Neuroimmune Guidance Cues Expression by Peripheral Blood Monocytes Determined by Machine-Learning Methods
Atherosclerosis is the underlying pathology in a major part of cardiovascular disease, the leading cause of mortality in developed countries. The infiltration of monocytes into the vessel walls of large arteries is a key denominator of atherogenesis, making monocytes accountable for the development of atherosclerosis. With the development of high-throughput transcriptome profiling platforms and cytometric methods for circulating cells, it is now feasible to study in-depth the predicted functional change of circulating monocytes reflected by changes of gene expression in certain pathways and correlate the changes to disease outcome. Neuroimmune guidance cues comprise a group of circulating- and cell membrane-associated signaling proteins that are progressively involved in monocyte functions. Here, we employed the CIRCULATING CELLS study cohort to classify cardiovascular disease patients and healthy individuals in relation to their expression of neuroimmune guidance cues in circulating monocytes. To cope with the complexity of human datasets featured by noisy data, nonlinearity and multidimensionality, we assessed various machine-learning methods. Of these, the linear discriminant analysis, Naive Bayesian model and stochastic gradient boost model yielded perfect or near-perfect sensibility and specificity and revealed that expression levels of the neuroimmune guidance cues SEMA6B, SEMA6D and EPHA2 in circulating monocytes were of predictive values for cardiovascular disease outcome.Cardiolog
Classical determinants of coronary artery disease as predictors of complexity of coronary lesions, assessed with the SYNTAX score
Background We need new biomarkers that can predict cardiovascular disease to improve both diagnosis and therapeutic strategies. The CIRCULATING CELLS study was designed to study the role of several cellular mediators of atherosclerosis as biomarkers of coronary artery disease (CAD). An objective and reproducible method for the quantification of CAD extension is required to establish relationships with these potential biomarkers. We sought to analyse the correlation of the SYNTAX score with known CAD risk factors to test it as a valid marker of CAD extension. Methods and results A subgroup of 279 patients (67.4% males) were included in our analysis. Main exclusion criteria were a history of previous percutaneous coronary intervention or surgical revascularisation that prevent an accurate assessment of the SS. Diabetes mellitus, smoking, renal insufficiency, body mass index and a history of CAD and myocardial infarction were all positively and strongly associated with a higher SYNTAX score after adjustment for the non-modifiable biological factors (age and sex). In the multivariate model, age and male sex, along with smok- ing and renal insufficiency, remain statistical significantly associated with the SYNTAX score. Conclusion In a selected cohort of revascularisation-naive patients with CAD undergoing coronary angiography, non-modifiable cardiovascular risk factors such as advanced age, male sex, as well as smoking and renal failure were independently associated with CAD complexity assessed by the SYNTAX score. The SYNTAX score may be a valid marker of CAD extension to establish relationships with potential novel biomarkers of coronary atherosclerosis
Does the Instantaneous Wave-Free Ratio Approximate the Fractional Flow Reserve?
Objectives This study sought to examine the clinical performance of and theoretical basis for the instantaneous wave-free ratio (iFR) approximation to the fractional flow reserve (FFR). Background Recent work has proposed iFR as a vasodilation-free alternative to FFR for making mechanical revascularization decisions. Its fundamental basis is the assumption that diastolic resting myocardial resistance equals mean hyperemic resistance. Methods Pressure-only and combined pressure-flow clinical data from several centers were studied both empirically and by using pressure-flow physiology. A Monte Carlo simulation was performed by repeatedly selecting random parameters as if drawing from a cohort of hypothetical patients, using the reported ranges of these physiologic variables. Results We aggregated observations of 1,129 patients, including 120 with combined pressure-flow data. Separately, we performed 1,000 Monte Carlo simulations. Clinical data showed that iFR was +0.09 higher than FFR on average, with +/- 0.17 limits of agreement. Diastolic resting resistance was 2.5 +/- 1.0 times higher than mean hyperemic resistance in patients. Without invoking wave mechanics, classic pressure-flow physiology explained clinical observations well, with a coefficient of determination of >0.9. Nearly identical scatter of iFR versus FFR was seen between simulation and patient observations, thereby supporting our model. Conclusions iFR provides both a biased estimate of FFR, on average, and an uncertain estimate of FFR in individual cases. Diastolic resting myocardial resistance does not equal mean hyperemic resistance, thereby contravening the most basic condition on which iFR depends. Fundamental relationships of coronary pressure and flow explain the iFR approximation without invoking wave mechanics. (J Am Coll Cardiol 2013;61:1428-35) (C) 2013 by the American College of Cardiology Foundatio