The patient was a 74-year-old man with a history of previous aorto-coronary bypass grafting 14 years previously. Echocardiography showed severe aortic valve stenosis. Computed tomography showed severe circumferential aortic calcification of the whole aorta, including the aortic root. Coronary cineangiography showed patency of the endoric graft. Avoiding graft injury and aortic cross clamping, we performed apicoaortic conduit. His postoperative course was uneventful, he was discharged very much improved on the 11th postoperative day. This procedure is useful in high risk patients with aortic valve stenosis.

Objective: This study aimed to characterize the muscle strength and skeletal muscle mass of patients with heart failure by investigating hand-grip strength, five times sit-to-stand (5STS) results, and skeletal muscle mass index (SMI).Materials and Methods: Muscle strength was assessed based on hand-grip strength and 5STS, while skeletal muscle mass was assessed using a bioelectrical impedance analyzer. Hierarchical logistic regression analysis was performed to explore the association between patients with heart failure and healthy elderly individuals.Results: Hierarchical logistic regression analysis was performed to examine the muscle strength and skeletal muscle mass characteristics in patients with heart failure. Hand-grip strength and 5STS responses but not SMI outcomes differed significantly between the two groups. The results of the hierarchical logistic regression analysis revealed that the hand-grip strength and 5STS were significant predictors of heart failure. The odds ratios for hand-grip strength and 5STS were 1.44 and 0.53, respectively.Conclusion: Our results suggested that upper and lower limb muscle strengths (handgrip strength and 5STS) in elderly patients with heart failure worsened significantly without a decrease in skeletal muscle mass.

Objective: This study intended to clarify whether healthcare professionals provide palliative care and the factors associated with such care. Methods: An anonymous self-administered questionnaire survey was conducted of healthcare professionals in in an acute care hospital in order to investigate their practice and understanding of palliative care as well as their personal attributes. A multivariate logistic regression analysis was conducted to identify factors associated with their palliative care practice. Results: 605 of 955 respondents (response rate: 63%) answered. Twenty-three percent of all respondents answered that they were involved in palliative care practice. A multivariate logistic regression analysis revealed understanding the concept and practical components of palliative care, including the functions of palliative care, differences between primary and specialized palliative care, and advance care planning, were factors associated with palliative care practice. Conclusion: Palliative care specialists should provide the educational support for healthcare professionals to enable them to deepen their understanding of palliative care. Such support from the palliative care specialist may promote the health care professionals’ awareness of their own roles in palliative care.

Objectives: This study examined the effects of the interaction between exercise and sleep on frailty severity in community-dwelling older adults.Materials and Methods: This was a cross-sectional study. Data were collected in July 2019. In total, 2021 adults participated who responded to a questionnaire. Among them, 672 participants (317 men and 355 women) with valid responses were included in the analysis. Ordinal logistic regression analysis was performed to examine the association between frailty severity and the interaction between exercise and sleep. The dependent variable represents three different levels of frailty. The independent variables included basic information and interaction between exercise and sleep.Results: The results of ordinal logistic regression analysis (odds ratio [OR]) showed that the period from the start of exercise (OR=0.96), age (OR=1.00 for participants in their 60 s, OR=1.65 for those in their 70s, and OR=3.13 for those aged >80 years), poor subjective health perception (OR=2.12), poor quality of sleep (OR=1.88), stress (OR=1.62), and exercise–sleep interaction (OR=1.00 based on good-exercise–good-sleep interaction, OR=3.09 poor-exercise–good-sleep interaction, and OR=3.50 poor-exercise–poor-sleep interaction) significantly contributed to the model. The Nagelkerke coefficient of determination adjusted for degrees-of-freedom (R2), which represents the contribution rate of the regression equation, was 0.334.Conclusions: Our results suggest that a combination of good exercise and good sleep is needed to prevent frailty progression in community-dwelling older adults.