Obesity is assumed to be one of the robust risk factors for coronary artery disease. However, the effects of obesity on the progression of atherosclerosis in patients in different age groups after percutaneous coronary intervention (PCI) remain unclear. This study aimed to examine the effect of obesity on prognosis in different age groups.Consecutive patients who underwent urgent or elective PCI were surveyed for this study and were then divided into the elderly group and middle-aged group with a cut-off age of 70 years. All patients underwent coronary angiography or coronary computed tomography angiography 1 year after PCI to examine the progression of atherosclerosis. The primary endpoint was revascularization for a new lesion within 2 years after PCI. In addition, the main effects and correlations between obesity and age were examined. Multivariate logistic regression analysis was conducted to identify independent predictors of non-target lesion revascularization (non-TLR).Of the 711 patients who met the criteria and were available for follow-up analysis, the incidence of non-TLR within 2 years was 97/711 (13.6%). The higher incidence of non-TLR in patients with obesity was observed only in the middle-aged group. Furthermore, in the multivariate analysis, obesity was independently associated with non-TLR only in the middle-aged group.The findings of the present study would enable us to construct the hypothesis that obesity in elderly patients may not be an independent predictor of the incidence of non-TLR, indicating that the management to prevent non-TLR may vary depending on the age of the patient.

Coiling temperature is one of the most significant factors in products of hot strip mill to determine material properties such as strength, toughness of steel, so it is very important to achieve accurate coiling temperature control (CTC). Usually there are a few pyrometers on the run out table in hot strip mill, therefore temperature model and its adapting system have large influences on the accuracy of CTC. Also unscheduled change of rolling speed has a bad effect to keep coiling temperature as its target. Newly developed CTC system is able to get very accurate coiling temperature against uncertain factors and disturbances by adopting easily identified temperature model, learning method and dynamic set up function. The features of the CTC system are discussed with actual data, and the effectiveness of the system is shown by actual control results.

Background Long-term prognosis after percutaneous coronary intervention (PCI), particularly non-target region stenosis, has not been well improved. Therefore, lifestyle modification should be considered along with medication to prevent the progression of coronary atherosclerosis. Particularly, the promotion of physical activity (PA) is recommended as a core intervention for secondary prevention because of its direct effects on coronary risk factors. However, the factors related to PA after PCI have not been fully investigated. Purpose To explore predictors of PA after discharge in patients underwent PCI. Methods We conducted a multicenter prospective cohort study. Participants were patients aged <75 years who underwent PCI. The main outcome was PA {step counts (SC) and a time of moderate-to-vigorous physical activity (MVPA)} measured for 7 consecutive days using an accelerometer at 3-month post discharge. We collected demographic data, comorbidities, medical history, laboratory data, and medications from medical record. In addition, severity of chest pain at the onset, physician's explanation regarding long-term prognosis, exercise environments, social support, work, lifestyle except exercise, self-efficacy for walking, difficulty in daily activities and depression were evaluated using questionnaires at discharge and 1-month post-discharge. The study participants were divided into two groups based on the median SC and MVPA at 3-month, and clinical characteristics were compared between the groups using χ2test or Mann Whitney U test. Then, multiple logistic regression analysis adjusted for age, gender, and diagnosis {stable angina or acute coronary syndrome (ACS)} was conducted with 3-month PA as dependent variable. Independent variables were those with a p<0.2 in the univariate analysis. In addition, the area under the curve (AUC) was calculated by receiver operating characteristic analysis to assess predictive accuracy of the regression model. Results We enrolled 313 patients [median age: 63 {inter-quartile range (IQR):56–67} years, women: 13.1%, ACS: 16.4%]. The median of SC and MVPA at 3-month were 6902 steps (IQR:5078–9095) and 16.2 min (IQR: 8.6–28.9), respectively. Predictors of SC at 3-month ≥the median were SC at 1-month (odds ratio 1.78, per 1000 steps/day; 95% confidence interval 1.51–2.09), hemoglobin (1.43, per 1g/dl; 1.10–1.86), body mass index (BMI) (0.87, per 1kg/m2; 0.82–0.99), use of β-blocker (0.49, 0.25–0.95), and self-efficacy for walking (1.06, per 1 point; 1.00–1.11). Predictors of MVPA ≥the median were MVPA at 1-month (5.66, per 10 minutes/day; 3.63–8.84), hemoglobin (1.57, per 1g/dl; 1.19–2.06), and BMI (0.85, per 1kg/m2; 0.76–0.94). The AUC of the regression model for SC and MVPA were 0.87 and 0.89, respectively. Conclusion PA after PCI could be predicted by modifiable factors with good predictive accuracy. The findings of this study suggest the possibility to develop tailored PA promotion program. Funding Acknowledgement Type of funding source: None

Background: This study aimed to clarify factors affecting changes in moderate to vigorous physical activity (MVPA) in patients 1 to 3 months after undergoing percutaneous coronary intervention (PCI). Methods: In this prospective cohort study, we enrolled patients aged <75 years who underwent PCI. MVPA was objectively measured using an accelerometer at 1 and 3 months after hospital discharge. Factors associated with increased MVPA (≥150 min/wk at 3 mo) were analyzed in participants with MVPA < 150 minutes per week at 1 month. Univariate and multivariate logistic regression analyses were performed to explore variables potentially associated with increasing MVPA, using MVPA ≥ 150 minutes per week at 3 months as the dependent variable. Factors associated with decreased MVPA (<150 min/wk at 3 mo) were also analyzed in participants with MVPA ≥ 150 minutes per week at 1 month. Logistic regression analysis was performed to explore factors of declining MVPA, using MVPA < 150 minutes per week at 3 months as the dependent variable. Results: We analyzed 577 patients (median age 64 y, 13.5% female, and 20.6% acute coronary syndrome). Increased MVPA was significantly associated with participation in outpatient cardiac rehabilitation (odds ratio 3.67; 95% confidence interval, 1.22–11.0), left main trunk stenosis (13.0; 2.49–68.2), diabetes mellitus (0.42; 0.22–0.81), and hemoglobin (1.47, per 1 SD; 1.09–1.97). Decreased MVPA was significantly associated with depression (0.31; 0.14–0.74) and Self-Efficacy for Walking (0.92, per 1 point; 0.86–0.98). Conclusions: Identifying patient factors associated with changes in MVPA may provide insight into behavioral changes and help with individualized PA promotion.

Purpose Nutritional improvement has been proposed for long-term cardiovascular prognosis as well as fitness recovery. We aimed to examine whether “responsiveness” to nutritional and exercise interventions would impact patients' cardiovascular prognosis even patients in low baseline fitness level. Methods We included 254 consecutive patients who participated in the phase II comprehensive cardiovascular rehabilitation (CCR) for at least three months. All patients underwent cardiopulmonary exercise test (CPX) at the initial and completion phases of CCR. Nutritional guidance was periodically performed individually during CCR. Peak oxygen uptake (PVO2) was measured through CPX to evaluate the fitness level, whereas nutritional status was evaluated using the geriatric nutritional risk index (GNRI). Patients were divided into “low fitness” and “normal fitness” groups based on the median of baseline PVO2. Each group was further classified into four categories according to the changes in VO2 and GNRI during CCR: “Both NOT improved”, “Only GNRI improved”, “Only PVO2 improved”, and “Both improved”. Results Cox proportional regression analysis showed that the category of “both NOT improved” was an independent predictor for cardiovascular risk among the baseline low fitness group (Hazard ratio: 4.5, p=0.007); whereas no significant difference among the normal fitness group. Kaplan-Meier analysis revealed that the event-free survival rate was significantly lower in the “both NOT improved” category (log rank p=0.002) among the baseline low fitness group (figure); whereas no significant difference among the normal fitness group. GNRI/PVO2 improvement vs. prognosis Conclusion Responsiveness to nutritional and exercise intervention could be a predictive factor of cardiovascular prognosis even in low fitness patients.