Introduction: The effects of bariatric surgery on skeletal health raise many concerns. Trabecular bone score (TBS) is obtained through the analysis of lumbar spine dual X-ray absorptiometry (DXA) images and allows an indirect assessment of skeletal microarchitecture (MA). The aim of our study was to evaluate the changes in bone mineral density (BMD) and alterations in bone microarchitecture assessed by TBS in morbidly obese women undergoing Roux-en-Y gastric bypass (RYGB), over a three-year follow-up. Material/Methods: A prospective study of 38 morbidly obese white women, aged 46.3 ± 8.2 years, undergoing RYGB was conducted. Biochemical analyses and DXA scans with TBS evaluation were performed before and at one year and three years after surgery. Results: Patients showed normal calcium and phosphorus plasma concentrations throughout the study. However, 25-hydroxyvitamin D (25(OH)D3) decreased, and 71% of patients had a vitamin D deficiency at three years. BMD at femoral neck and lumbar spine (LSBMD) significantly decreased 13.53 ± 5.42% and 6.03 ± 6.79%, respectively, during the three-year follow-up; however Z-score values remained above those for women of the same age. TBS was within normal ranges at one and three years (1.431 ± 106 and 1.413 ± 85, respectively), and at the end of the study, 73.7% of patients had normal bone MA. TBS at three years correlated inversely with age (r = −0.41, p = 0.010), body fat (r = −0.465, p = 0.004) and greater body fat deposited in trunk (r = −0.48, p = 0.004), and positively with LSBMD (r = 0.433, p = 0.007), fat mass loss (r = 0.438, p = 0.007) and lean mass loss (r = 0.432, p = 0.008). In the regression analysis, TBS remained associated with body fat (β = −0.625, p = 0.031; R2 = 0.47). The fracture risk, calculated by FRAX® (University of Sheffield, Sheffield, UK), with and without adjustment by TBS, was low. Conclusion: Women undergoing RYGB in the mid-term have a preserved bone MA, assessed by TBS.
PurposeSecurity requirements play an important role in software development. These can be specified both in enterprise architecture models and in business processes. Enterprises increasingly carry out larger amounts of business processes where security plays a major role. Business processes including security can be automatically obtained from enterprise architecture models by applying a model-driven architecture approach, through a CIM to CIM transformation. The aim of this article is to present the specification of transformation rules for the correspondence between enterprise architecture and business process model elements focusing on security.Design/methodology/approachThis work utilizes motivational aspects of the ArchiMate language to model security in the business layer of enterprise architectures. Next, a set of transformation rules defined with the Atlas Transformation Language are utilized to obtain the correspondence of the enterprise architecture elements in a business process, modelled with a security extension of BPMN.FindingsA total of 19 transformation rules have been defined. These rules are more complex than element to element relations, as they take into consideration the context of the elements for establishing the correspondence. Additionally, the prototype of a tool that allows the automatic transformation between both models has been developed.Originality/valueThe results of this work demonstrate the possibility to tackle complex transformations between both models, as previous literature focuses on semantic correspondences. Moreover, the obtained models can be of use for software developers applying the model-driven approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.