Computational analysis of the electromechanical performance of mitral valve cerclage annuloplasty using a patient-specific ventricular model

We aimed to propose a novel computational approach to predict the electromechanical performance of pre- and post-mitral valve cerclage annuloplasty (MVCA). Furthermore, we tested a virtual estimation method to optimize the left ventricular basement tightening scheme using a pre-MVCA computer model. The present model combines the three-dimensional (3D) electromechanics of the ventricles with the vascular hemodynamics implemented in a lumped parameter model. 3D models of pre- and post-MVCA were reconstructed from the computed tomography (CT) images of two patients and simulated by solving the electromechanical-governing equations with the finite element method. Computed results indicate that reduction of the dilated heart chambers volume (reverse remodeling) appears to be dependent on ventricular stress distribution. Reduced ventricular stresses in the basement after MVCA treatment were observed in the patients who showed reverse remodeling of heart during follow up over 6 months. In the case who failed to show reverse remodeling after MVCA, more virtual tightening of the ventricular basement diameter than the actual model can induce stress unloading, aiding in heart recovery. The simulation result that virtual tightening of the ventricular basement resulted in a marked increase of myocardial stress unloading provides in silico evidence for a functional impact of MVCA treatment on cardiac mechanics and post-operative heart recovery. This technique contributes to establishing a pre-operative virtual rehearsal procedure before MVCA treatment by using patient-specific cardiac electromechanical modeling of pre-MVCA.

Costs Attributable to Overweight and Obesity in Working Asthma Patients in the United States

PURPOSE: To estimate annual health care and productivity loss costs attributable to overweight or obesity in working asthmatic patients. MATERIALS AND METHODS: This study was conducted using the 2003–2013 Medical Expenditure Panel Survey (MEPS) in the United States. Patients aged 18 to 64 years with asthma were identified via self-reported diagnosis, a Clinical Classification Code of 128, or a ICD-9-CM code of 493.xx. All-cause health care costs were estimated using a generalized linear model with a log function and a gamma distribution. Productivity loss costs were estimated in relation to hourly wages and missed work days, and a two-part model was used to adjust for patients with zero costs. To estimate the costs attributable to overweight or obesity in asthma patients, costs were estimated by the recycled prediction method. RESULTS: Among 11670 working patients with a diagnosis of asthma, 4428 (35.2%) were obese and 3761 (33.0%) were overweight. The health care costs attributable to obesity and overweight in working asthma patients were estimated to be $878 [95% confidence interval (CI): $861–$895] and $257 (95% CI: $251–$262) per person per year, respectively, from 2003 to 2013. The productivity loss costs attributable to obesity and overweight among working asthma patients were $256 (95% CI: $253–$260) and $26 (95% CI: $26–$27) per person per year, respectively. CONCLUSION: Health care and productivity loss costs attributable to overweight and obesity in asthma patients are substantial. This study's results highlight the importance of effective public health and educational initiatives targeted at reducing overweight and obesity among patients with asthma, which may help lower the economic burden of asthma.

Analysis of the Factors Relating Nutritional Status in Discharging of Leukemia Patients Receiving Chemotherapy

This study was performed to investigate the changes of oral diet intake during the admission period and identify the factors related with nutritional status in discharging of leukemia patients. This is a retrospective cross sectional study on 46 leukemia patients receiving chemotherapy at the Catholic University of Korea Seoul St. Mary's Hospital from July to September 2009. The patients' charts were surveyed on the general characteristics and factors relating chemotherapy. The calorie count method was used to investigate diet intake during admission period. Multivariate logistic regression analysis was used to identify possible confounding factors. A p < 0.05 was considered statistically significant. The mean age was 42.8 +/- 14.6 years and the average length of stay was 30.4 +/- 7.0 days. The incidence of malnourished patients was 60.9% in discharging. There was a significant difference in chemotherapy sessions and chemotherapy period between well-nourished and malnourished patients. The average energy intake was 1,525.9 kcal in well-nourished patients and 1,143 kcal in malnourished patients, which was significant different. From repeated measures ANOVA test, the changes of oral intake during admission period were significant by groups. In addition, there were significant differences in oral intake according to each period between well-nourished and malnourished patients. In multivariate logistic regression analysis, both the ratio of total oral energy intake to recommended energy intake and chemotherapy sessions were significantly associated with nutritional status in discharging. The results of this study could be used to establish a protocol of nutritional management for leukemia patients receiving chemotherapy.