Introduction: Conventional techniques of surgical correction of arch and descending aortic diseases remains as high-risk procedures. Endovascular treatments of abdominal and descending thoracic aorta have lower surgical risk. Evolution of both techniques - open debranching of the arch and endovascular approach of the descending aorta - may extend a less invasive endovascular treatment for a more extensive disease with necessity of proximal landing zone in the arch.
Objective: To evaluate descending thoracic aortic remodeling by means of volumetric analysis after hybrid approach of aortic arch debranching and stenting the descending aorta.
Methods: Retrospective review of seven consecutive patients treated between September 2014 and August 2016 for diseases of proximal descending aorta (aneurysms and dissections) by hybrid approach to deliver the endograft at zone 1. Computed tomography angiography were analyzed using a specific software to calculate descending thoracic aorta volumes pre- and postoperatively.
Results: Follow-up was done in 100% of patients with a median time of 321 days (range, 41-625 days). No deaths or permanent neurological complications were observed. There were no endoleaks or stent migrations. Freedom from reintervention was 100% at 300 days and 66% at 600 days. Median volume reduction was of 45.5 cm3, representing a median volume shrinkage by 9.3%.
Conclusion: Hybrid approach of arch and descending thoracic aorta diseases is feasible and leads to a favorable aortic remodeling with significant volume reduction.
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http://dx.doi.org/10.21470/1678-9741-2017-0040 | DOI Listing |
J Adv Nurs
January 2025
Nursing Science (INS), Department Public Health (DPH), Faculty of Medicine, University of Basel, Basel, Switzerland.
Aim: To implement and evaluate an Advanced Practice Nurse-led transitional care model (AdvantAGE) to reduce rehospitalisation rates in frail older adults discharged from a Swiss geriatric hospital.
Design: The study adopts an effectiveness-implementation hybrid design (Type 1) to simultaneously evaluate the effectiveness of the care model and explore the implementation process.
Methods: The primary outcome, the 90-day rehospitalisation rate, will be evaluated using a matched-cohort design with a prospective intervention group and a retrospective control group.
J Adv Nurs
January 2025
Nursing Practice Development Unit, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
Aims: To evaluate the implementation process of a novel program focused on improving interactive (dialogic) feedback between clinicians and students during placement.
Design: Quantitative cross-sectional hybrid type 3 effectiveness-implementation study driven by a federated model of social learning theory and implementation theory.
Methods: From June to November 2018, feedback approaches supported by socio-constructive learning theory and Normalisation Process Theory were enacted in four clinical units of a healthcare facility in southeast Queensland, Australia.
Stat Med
February 2025
Biostatistics, Innovatio Statistics Inc., Bridgewater, New Jersey, USA.
Sample size re-estimation (SSR) is perhaps the most used adaptive procedure in both frequentist and Bayesian adaptive designs for clinical trials. The primary focus of all current frequentist and Bayesian SSR procedures is type I error control. We propose a hybrid frequentist-Bayesian SSR approach that focuses on optimizing operating characteristics (OC), which uses simulations to investigate the associated OC and adjusts accordingly.
View Article and Find Full Text PDFCurr Environ Health Rep
January 2025
School of Health Sciences, Purdue University, West-Lafayette, IN, 47906, USA.
Purpose Of Review: This review explores the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-ray Fluorescence (XRF) for quantifying metals and metalloids in biological matrices such as hair, nails, blood, bone, and tissue. It provides a comprehensive overview of these methodologies, detailing their technological limitations, application scopes, and practical considerations for selection in both laboratory and field settings. By examining traditional and novel aspects of each method, this review aims to guide researchers and clinical practitioners in choosing the most suitable analytical tool based on their specific needs for sensitivity, precision, speed, and sample preparation.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Mechanical Science, Vilnius Gediminas Technical University, Vilnius, 10105, Lithuania.
Digital transformation (DT) has become vital for companies trying to remain competitive in the recent ever-changing technological environment. DT is the integration of digital technologies into all disciplines of business from regular activities to strategic decision making. Risk management planning requires projects to assess possible risks that may negatively or positively affect a DT project.
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