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Cardiovascular disease is an important cause of morbidity and mortality in sickle cell disease (SCD). We sought to characterize sickle cell cardiomyopathy using multimodality noninvasive cardiovascular testing and identify potential causative mechanisms.Stable adults with SCD (n=38) and healthy controls (n=13) prospectively underwent same day multiparametric cardiovascular magnetic resonance (cine, T2∗ iron, vasodilator first pass myocardial perfusion, and late gadolinium enhancement imaging), transthoracic echocardiography, and applanation tonometry. Compared with controls, patients with SCD had severe dilation of the left ventricle (124±27 vs 79±12 mL/m2), right ventricle (127±28 vs 83±14 mL/m2), left atrium (65±16 vs 41±9 mL/m2), and right atrium (78±17 vs 56±17 mL/m2; P<0.01 for all). Patients with SCD also had a 21% lower myocardial perfusion reserve index than control subjects (1.47±0.34 vs 1.87±0.37; P=0.034). A significant subset of patients with SCD (25%) had evidence of late gadolinium enhancement, whereas only 1 patient had evidence of myocardial iron overload. Diastolic dysfunction was present in 26% of patients with SCD compared with 8% in controls. Estimated filling pressures (E/e′, 9.3±2.7 vs 7.3±2.0; P=0.0288) were higher in patients with SCD. Left ventricular dilation and the presence of late gadolinium enhancement were inversely correlated to hepatic T2∗ times (ie, hepatic iron overload because of frequent blood transfusions; P<0.05 for both), whereas diastolic dysfunction and increased filling pressures were correlated to aortic stiffness (augmentation pressure and index, P<0.05 for all).Sickle cell cardiomyopathy is characterized by 4-chamber dilation and in some patients myocardial fibrosis, abnormal perfusion reserve, diastolic dysfunction, and only rarely myocardial iron overload. Left ventricular dilation and myocardial fibrosis are associated with increased blood transfusion requirements, whereas left ventricular diastolic dysfunction is predominantly correlated with increased aortic stiffness.URL: http://www.clinicaltrials.gov. Unique identifier: NCT01044901. [ABSTRACT FROM AUTHOR]

Background: Standard consent forms result in highly variable communication between patients and physicians. To enhance the consent process and facilitate shared decision making, we developed a World Wide Web-based program, PREDICT (Patient Refined Expectations for Deciding Invasive Cardiac Treatments), to systematically embed patient-specific estimates of death, bleeding, and restenosis into individualized percutaneous coronary intervention informed consent documents. We then compared patients' experiences with informed consent before and after implementation of PREDICT., Methods and Results: Between August 2006 and May 2007, patients undergoing nonemergent cardiac catheterization who received the original consent form (n=142) were interviewed and compared with those who received the PREDICT consent form (n=193). Hierarchical modified Poisson regression models were used to adjust for clustering of patients within physicians. Compared with the original consent group, those in the PREDICT group reported higher rates of reading the consent form (72% versus 44%, relative risk [RR] 1.64, 95% confidence interval [CI] 1.24 to 2.16), increased perception of shared decision making (67% versus 45%, RR 1.48, 95% CI 0.99 to 2.22), and decreased anxiety (35% versus 55%, RR 0.70, 95% CI 0.53 to 0.91). Although there were no differences between groups in patients' ability to name complications of percutaneous coronary intervention, among patients who identified either death or bleeding as a potential complication, more patients in the PREDICT group recalled being informed of their estimated risk of that complication (death: 85% versus 62%, RR 1.37, 95% CI 1.03 to 1.82; bleeding: 92% versus 71%, RR 1.28, 95% CI 1.06 to 1.56)., Conclusions: In this preliminary, single-center experience, individualized consent forms with patient-specific risks were associated with improved participation in the consent process, reduced anxiety, and better risk recall. PREDICT is one potential strategy for improving the current practice of obtaining informed consent for percutaneous coronary intervention.