A dilated aorta causes a turbulent flow pattern in the aortic arch. The high OSI site was similar to the favourite entry site for acute aortic dissection, indicating the causal relationship between mechanical stress and acute aortic dissection. rSCA cannulation might be cerebroprotective from ascending aortic plaque.

Blood flow imaging is a novel technology in cardiovascular medicine and surgery. Today, two types of blood flow imaging tools are available: measurement-based flow visualization including 4D flow MRI (or 3D cine phase-contrast magnetic resonance imaging), or echocardiography flow visualization software, and computer flow simulation modeling based on computational fluid dynamics (CFD). MRI and echocardiography flow visualization provide measured blood flow but have limitations in temporal and spatial resolution, whereas CFD flow calculates the flow according to assumptions instead of flow measurement, and it has sufficiently fine resolution up to the computer memory limit, and it enables even virtual surgery when combined with computer graphics. Blood flow imaging provides profound insight into the pathophysiology of cardiovascular diseases, because it quantifies and visualizes mechanical stress on the vessel walls or heart ventricle. Wall shear stress (WSS) is a stress on the endothelial wall caused by the near wall blood flow, and it is thought to be a predictor of atherosclerosis progression in coronary or aortic diseases. Flow energy loss (EL) is the loss of blood flow energy caused by viscous friction of turbulent diseased flow, and it is expected to be a predictor of ventricular workload on various heart diseases including heart valve disease, cardiomyopathy, and congenital heart diseases. Blood flow imaging can provide useful information for developing predictive medicine in cardiovascular diseases, and may lead to breakthroughs in cardiovascular surgery, especially in the decision-making process.

No abstract

BackgroundAlthough the number of elderly people needing care is increasing rapidly in the home setting in Japan, family size and ability to provide such support are declining. The purpose of this study was to identify the risk factors of functional disability by household composition among community-dwelling elderly people.MethodsA total of 1347 elderly people aged 70 years and over participated in a baseline geriatric health examination for this prospective cohort study. In the health examination, we conducted an interview survey using a questionnaire in July 2004 and July 2005. Questionnaire items covered the following: age, sex, household, medical history, instrumental activities of daily living, intellectual activity, social role, Motor Fitness Scale, falls experienced during the past year, Dietary Variety Score, frequency of going outdoors, cognitive impairment, and depressive status. We defined the occurrence of functional disability as certification for long-term care needs of the subjects. The certification process started with a home visit for an initial assessment to evaluate nursing care needs using a questionnaire on current physical and mental status. The onset of functional disability was followed from July 2004 to March 2011. Cox proportional hazard regression analysis was used to estimate the risk factors related to the onset of functional disability, adjusted for age and sex.ResultsOf the 1084 participants, 433 were male (39.9%), and the average age was 77.8 (standard deviation, 5.4). Up to March 2011, functional disabilities occurred in 226 participants (20.9%). Elderly people living only with their children demonstrated a significantly higher risk for functional disability than the three-generation household group (hazard ratio, 1.61; 95% confidence interval, 1.08–2.40). The risk factors for functional disability varied according to household group.ConclusionsIn Japan, the number of vulnerable households with elderly people in need of care has increased steadily over the years. Appropriately identifying the risks related to functional disability requires a means of assessment that takes the household composition into consideration.

The aim of this study was to measure the prevalence of social isolation in community-dwelling elderly and related factors based on household composition differences. Method: We used the six-item Lubben Social Network Scale to measure social isolation in 2,000 individuals. Multiple