15 research outputs found

    A clinical prediction rule for the diagnosis of coronary artery disease: validation, updating, and extension

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    Aims The aim was to validate, update, and extend the Diamond-Forrester model for estimating the probability of obstructive coronary artery disease (CAD) in a contemporary cohort. Methods and results Prospectively collected data from 14 hospitals on patients with chest pain without a history of CAD and referred for conventional coronary angiography (CCA) were used. Primary outcome was obstructive CAD, defined as ≥50% stenosis in one or more vessels on CCA. The validity of the Diamond-Forrester model was assessed using calibration plots, calibration-in-the-large, and recalibration in logistic regression. The model was subsequently updated and extended by revising the predictive value of age, sex, and type of chest pain. Diagnostic performance was assessed by calculating the area under the receiver operating characteristic curve (c-statistic) and reclassification was determined. We included 2260 patients, of whom 1319 had obstructive CAD on CCA. Validation demonstrated an overestimation of the CAD probability, especially in women. The updated and extended models demonstrated a c-statistic of 0.79 (95% CI 0.77-0.81) and 0.82 (95% CI 0.80-0.84), respectively. Sixteen per cent of men and 64% of women were correctly reclassified. The predicted probability of obstructive CAD ranged from 10% for 50-year-old females with non-specific chest pain to 91% for 80-year-old males with typical chest pain. Predictions varied across hospitals due to differences in disease prevalence. Conclusion Our results suggest that the Diamond-Forrester model overestimates the probability of CAD especially in women. We updated the predictive effects of age, sex, type of chest pain, and hospital setting which improved model performance and we extended it to include patients of 70 years and olde

    Assessment of normal tricuspid valve anatomy in adults by real-time three-dimensional echocardiography

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    Background: The tricuspid valve (TV) is a complex structure. Unlike the aortic and mitral valve it is not possible to visualize all TV leaflets simultaneously in one cross-sectional view by standard two-dimensional echocardiography (2DE) either transthoracic or transesophageal due to the position of TV in the far field. Aim: Quantitative and qualitative assessment of the normal TV using real-time 3-dimensional echocardiography (RT3DE). Methods: RT3DE was performed for 100 normal adults (mean age 30 ± 9 years, 65% males). RT3DE visualization was evaluated by 4-point score (1: not visualized, 2: inadequate, 3: sufficient, and 4: excellent). Measurements included TV annulus diameters (TAD), TV area (TVA), and commissural width. Results: In 90% of patients with good 2DE image quality, it was possible to analyse TV anatomy by RT3DE. A detailed anatomical structure including unique description and measurement of tricuspid annulus shape and size, TV leaflets shape, and mobility, and TV commissural width were obtained in majority of patients. Identification of each TV leaflet as seen in the routine 2DE views was obtained. Conclusion: RT3DE of the TVis feasible in a large number of patients. RT3DE may add to functional 2DE data in description of TV anatomy and providing highly reproducible and actual reality (anatomical and functional) measurements

    Computed Tomography in Infectious Endocarditis

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    Imaging is one of the cornerstones in diagnosis and management of infective endocarditis, underlined by recent guidelines. Echocardiography is the first-line imaging technique, however, computed tomography (CT) has a class I recommendation in native and prosthetic valve endocarditis to detect valvular lesions in case of possible endocarditis and to detect paravalvular and periprosthetic complications in case of inconclusive echocardiography. Echocardiography has a higher diagnostic accuracy than CT in detecting valvular lesions, but not for diagnosing paravalvular lesions where CT is superior. Additionally, CT is useful and recommended by guidelines to detect extracardiac manifestations of endocarditis and in planning surgical treatment including assessment of the coronary arteries. The advent of photon-counting CT and its improved spatial resolution and spectral imaging is expected to expand the role of CT in the diagnosis of infective endocarditis. In this review, we provide an overview of the current role of CT in infective endocarditis focusing on image acquisition, image reconstruction, interpretation, and diagnostic accuracy.</p

    Gender Differences in Patients With Stable Chest Pain

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    This study sought to investigate gender differences in clinical presentation, presence, and extent of coronary artery disease (CAD), and all-cause mortality in patients with stable chest pain who underwent coronary computed tomography angiography (CCTA). Patients who visited the fast-track outpatient clinic of the Erasmus Medical Center and underwent CCTA were analyzed. Clinical characteristics of chest pain, CAD on CCTA, coronary artery calcium scores, and survival were collected retrospectively and compared between men and women. Logistic regression was used to identify independent risk factors for the presence of CAD and Cox regression for all-cause mortality. In 1,835 included patients, 966 (52.6%) were female. Men and women were similar in age (55 vs 56 years). Compared with men, women had a lower frequency of typical pain (22.8% vs 31.1%, p <0.001), lower prevalence of significant CAD (22.2% vs 38.1%, p <0.001), and lower coronary artery calcium scores (p <0.001). CAD was more prevalent in men than in women with typical pain (67.4% vs 35.9%, p <0.001) and also with nontypical pain (24.9% vs 18.1%, p = 0.002). After adjustment for baseline characteristic, male sex was associated with all-cause mortality (adjusted hazard ratio 1.87, 95% confidence interval 1.25 to 2.80, p = 0.002). The additional risk of mortality because of CAD was similar between men and women. Stratifying by typical and nontypical pain, women again had a better prognosis. Our study identifies gender-related differences in characteristics, CCTA-findings, and outcomes for women compared with men presenting for CCTA with chest pain. Women have less CAD and a better prognosis than men, the clinical implications of which require further study

    Myocardial wall thickness predicts recovery of contractile function after primary coronary intervention for acute myocardial infarction

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    AbstractObjectivesWe sought to determine whether end-diastolic wall thickness (EDWT) can predict recovery of regional left ventricular contractile function after percutaneous coronary intervention (PCI).BackgroundRegional contractile function does not recover in all patients after PCI for acute myocardial infarction (AMI). Prediction of functional recovery after AMI may help in clinical decision making.MethodsForty consecutive patients with AMI were studied with left ventricular contrast echocardiography for accurate wall thickness and function measurement and myocardial perfusion immediately after and two months following PCI.ResultsOut of 640 segments, 175 (27%) dysfunctional segments in the infarct territory were analyzed for EDWT, wall function, and perfusion. One hundred and three (59%) dysfunctional segments presented with an EDWT <11 mm and 72 (41%) presented with an EDWT ≥11 mm. Perfusion (partial or complete) was present in 63 segments with an EDWT <11 mm (61%) and 71 segments with an EDWT ≥11 mm (99%) (p < 0.001). At two months' follow-up, 66 of 72 segments with an EDWT ≥11 mm (92%) improved, whereas only 35 of 103 of the dysfunctional segments with an EDWT <11 mm (34%) improved (p < 0.0001).ConclusionsWall thickness is an easy parameter to predict recovery of function after revascularization. Moreover, combining EDWT and perfusion, segments with an EDWT ≥11 mm, and presence of perfusion have the highest chance of recovery; segments with an EDWT <11 mm and perfusion have an intermediate chance of recovery. In segments with an EDWT <11 mm and no perfusion, chances of recovery are very low

    Exercise electrocardiography for pre-test assessment of the likelihood of coronary artery disease

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    Objectives: To develop a tool including exercise electrocardiography (ExECG) for patient-specific clinical likelihood estimation of patients with suspected obstructive coronary artery disease (CAD). Methods: An ExECG-weighted clinical likelihood (ExECG-CL) model was developed in a training cohort of patients with suspected obstructive CAD undergoing ExECG. Next, the ExECG-CL model was applied in a CAD validation cohort undergoing ExECG and clinically driven invasive coronary angiography and a prognosis validation cohort and compared with the risk factor-weighted clinical likelihood (RF-CL) model for obstructive CAD discrimination and prognostication, respectively. In the CAD validation cohort, obstructive CAD was defined as &gt;50% diameter stenosis on invasive coronary angiography. For prognosis, the endpoint was non-fatal myocardial infarction and death. Results: The training cohort consisted of 1214 patients (mean age 57 years, 57% males). In the CAD (N=408; mean age 55 years, 53% males) and prognosis validation (N=3283; mean age 57 years, 57% males) cohorts, 11.8% patients had obstructive CAD and 4.4% met the endpoint. In the CAD validation cohort, discrimination of obstructive CAD was similar between the ExECG-CL and RF-CL models: area under the receiver-operating characteristic curves 83.1% (95% CIs 77.5% to 88.7%) versus 80.7% (95% CI 74.6% to 86.8%), p=0.14. In the ExECG-CL model, more patients had very low (≤5%) clinical likelihood of obstructive CAD compared with the RF-CL (42.2% vs 36.0%, p&lt;0.01) where obstructive CAD prevalence and event risk remained low. Conclusions: ExECG incorporated into a clinical likelihood model improves reclassification of patients to a very low clinical likelihood group with very low prevalence of obstructive CAD and favourable prognosis.</p

    Incidence and Predictors of Debris Embolizing to the Brain During Transcatheter Aortic Valve Implantation

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    OBJECTIVES The aim of this study was to identify variables associated with tissue fragment embolization during transcatheter aortic valve replacement (TAVR). BACKGROUND Brain magnetic resonance imaging and transcranial Doppler studies have revealed that cerebrovascular embolization occurs frequently during TAVR. Embolized material may be r thrombotic, tissue derived, or catheter (foreign material) fragments. METHODS A total of 81 patients underwent TAVR with a dual filter-based embolic protection device (Montage Dual Filter System, Claret Medical, Inc., Santa Rosa, California) deployed in the brachiocephalic trunk and left common carotid artery. Both balloon-expandable and self-expanding transcatheter heart valves (THVs) were used. Filters were retrieved after TAVR and sent for histopathological analysis. RESULTS Overall, debris was captured in 86% of patients. Captured material varied in size from 0.1 to 9.0 mm. Thrombotic material was found in 74% of patients and tissue-derived debris in 63%. Tissue fragments were found more often with balloon-expandable THVs (79% vs. 56%; p = 0.05). The embolized tissue originated from the native aortic valve leaflets, aortic wall, or left ventricular myocardium. On multivariable logistic regression analysis, balloon-expandable THVs (odds ratio: 7.315; 95% confidence interval: 1.398 to 38.289; p = 0.018) and cover index (odds ratio: 1.141; 95% confidence interval: 1.014 to 1.283; p = 0.028) were independent predictors of tissue embolization. CONCLUSIONS Debris is captured with filter-based embolic protection in the vast majority of patients undergoing TAVR. Tissue-derived material is found in 63% of cases and is more frequent with the use of balloon-expandable systems and more oversizing. (C) 2015 by the American College of Cardiology Foundation
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