Risk analysis models are becoming more important in various aspects of the clinical setting. We have used the logistic EuroSCORE as a risk analysis model, but there is divergence between the model and actual clinical reality in our country. The Japan Score is a risk model based on the Japan Adult Cardiovascular Surgery Database and it is considered to be better reflect from Japanese clinical results. We compared the logistic EuroScore (ES) and Japan Score (JS) and their predictive accuracy, using our clinical results. Between October 2006 and June 2011, 733 operations suitable for evaluation by the Japan Score were performed at our institute. Isolated coronary artery bypass grafting (CABG) was performed in 151 cases, valve surgery (Valve) in 346 cases and aortic surgery (Aorta) in 236 cases. In these cases we calculated 30-day mortality using the EuroSCORE and JapanSCORE and compared the results and prediction accuracy, by calculating the receiver operating characteristic curve (ROC curve) and the area under the ROC curve (AUC). We also calculated 30-day mortality and morbidity by the JapanSCORE and analyzed it by the same method. In the entire group, logistic 30-day mortality by ES and JS was 7.28 and 4.05% respectively. The AUC was 0.740 and 0.806, while 30-day mortality and morbidity calculated by JS was 17.72% and the AUC was 0.646. In the CABG group the 30-day mortality by ES and JS was 5.7 and 3.18% respectively, the AUC was 0.636 and 0.770, the 30-day mortality and morbidity was 13.37% and the AUC was 0.631. In the Valve group 30-day mortality by ES and JS was 6.00 and 3.79% respectively. The AUC was 0.715 and 0.794, 30-day mortality and morbidity was 17.54% and the AUC was 0.606. In the Aorta group 30-day mortality was 10.17 and 4.99% respectively. The AUC was 0.720 and 0.827. The 30-day mortality and morbidity was 20.83% and the AUC was 0.640. The 30-day mortality calculated by JS was significantly lower than that of ES (p<0.001). The prediction accuracy of both of the ES and the JS was satisfactory but the prediction accuracy of JS was better than that of the ES. The prediction accuracy of the logistic 30-day mortality and morbidity were not as accurate as 30-day mortality. JS was a good risk analysis model not only for prediction of surgical results but also for improving surgical outcome.

Tachycardia caused by increased sympathetic nerve activity after cardiovascular surgery can induce an increase in myocardial oxygen consumption and myocardial ischemia. β-Blockers are expected to reduce myocardial oxygen consumption, but traditional β-blockers are long acting so it is difficult to use after cardiovascular surgery. From January 2007 to September 2007, 24 out of 60 patients who underwent cardiovascular surgery were administered landiolol. The average heart rate before landiolol infusion was 99.5±16.5 bpm and decreased to 89.5±10.7 bpm after landiolol infusion (p=0.0008). Average systolic blood pressure before and after landiolol infusion was 109±16 mmHg and 103±13 mmHg, respectively (p=0.15). Average cardiac index (14 patients) before and after landiolol infusion was 3.29±0.83 l/min/m²and 3.26±0.9 l/min/m², respectively (p=0.75). Four patients (17%) had atrial fibrillation during these hospital stay, whereas 20 patients out of 50 patients (40%) who underwent cardiovascular surgery before landiolol was used (from June 2006 to January 2007) had atrial fibrillation (p=0.045). Landiolol can be effective and used safely after cardiovascular surgery.

Tachycardia caused by increased sympathetic nerve activity after cardiovascular surgery can induce an increase in myocardial oxygen consumption and myocardial ischemia. β-Blockers are expected to reduce myocardial oxygen consumption, but traditional β-blockers are long acting so it is difficult to use after cardiovascular surgery. From January 2007 to September 2007, 24 out of 60 patients who underwent cardiovascular surgery were administered landiolol. The average heart rate before landiolol infusion was 99.5±16.5 bpm and decreased to 89.5±10.7 bpm after landiolol infusion (p=0.0008). Average systolic blood pressure before and after landiolol infusion was 109±16 mmHg and 103±13 mmHg, respectively (p=0.15). Average cardiac index (14 patients) before and after landiolol infusion was 3.29±0.83 l/min/m²and 3.26±0.9 l/min/m², respectively (p=0.75). Four patients (17%) had atrial fibrillation during these hospital stay, whereas 20 patients out of 50 patients (40%) who underwent cardiovascular surgery before landiolol was used (from June 2006 to January 2007) had atrial fibrillation (p=0.045). Landiolol can be effective and used safely after cardiovascular surgery.

Background: Common regional anesthesia approaches for video-assisted thoracoscopic surgery (VATS) include paravertebral block (PVB) and erector spinae plane block (ESPB). PVB is considered a deep nerve block which is contraindicated in antithrombotic therapy. ESPB is effective when administered as a bolus, as well as continuously. However, the recently proposed intertransverse process block (ITPB) ensures more effective diffusion of the local anesthetic into the paravertebral space.Case: We report cases of three patients who received bolus ITPB (costotransverse foramen block and mid-point transverse process-to-pleura block in one and two cases, respectively) combined with continuous ESPB when a deep nerve block could not be administered. Opioids were not required postoperatively, and all postoperative numerical rating scale scores (0–10) at rest were maintained below 4. Conclusions The combination of bolus ITPB and continuous ESPB may be an alternative analgesic method when deep nerve blocks are contraindicated in VATS.

Objectives: Physical activity to maintain bone mass and strength is important for hip fracture prevention. We aim to investigate the relationship between physical performance/activity status and bone mineral density (BMD)/hip structural analysis (HSA) parameters among postmenopausal women in Japan. Methods: Sixty-two postmenopausal women diagnosed with osteoporosis (mean age: 72.61 ± 7.43 years) were enrolled in this cross-sectional observational study. They were evaluated for BMD and HSA in the proximal femur by dual-energy X-ray absorptiometry and underwent several physical performance tests, the Geriatric Locomotive Function Scale of 25 questions (GLFS-25). Principal component analysis (PCA) was used to summarize data on the BMD/HSA parameters. Partial correlation analysis, multiple regression analysis, and structural equation modeling (SEM) were performed to investigate the relationship between physical performance/activity status and BMD/HSA parameters of the proximal femur. Results: In a partial correlation analysis adjusted for age and body mass index (BMI), GLFS-25 scores were correlated with HSA parameter (|r| = 0.260–0.396, P < 0.05). Principal component 1 (PC1) calculated by PCA was interpreted as more reflective of bone strength based on the value of BMD/HSA parameters. The SEM results showed that the model created by the 3 questions (Q13, brisk walking; Q15, keep walking without rest; Q20, load-bearing tasks and housework) of the GLFS-25 had the best fit and was associated with the PC1 score (β = −0.444, P = 0.001). Conclusions The GLFS-25 score was associated with the BMD/HSA parameter, which may reflect the bone strength of the proximal femur as calculated by PCA.

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.