Background: We report our experience with a bridging multimodal pain management program that provides comprehensive 48-hour pain control in patients undergoing total shoulder replacement (TSR).
Methods: The study included all patients undergoing unilateral TSR by 1 surgeon between May 2015 and April 2017. There were 62 patients (23 men, 39 women) with an average age of 68 years (range 38-92 years). Of these, 31 underwent standard nonconstrained TSR and 31 underwent reverse TSR. The bridging multimodal pain management protocol included scalene block regional anesthesia using 0.25% bupivacaine enhanced with 4 mg of dexamethasone, application of 20 mg of liposomal bupivacaine diluted with 40 mL of normal saline in the periarticular soft tissues at time of closure, scheduled 24 hours of intravenous acetaminophen and ketorolac, and immediate cryotherapy. Parameters measured included hospital length of stay, postoperative use of intravenous narcotics, and 30-day hospital readmission.
Results: The median length of stay was 1 day (range, 1-6; average, 1.5 days). Overall, 41 patients (66%) were discharged on postoperative day 1. Intravenous narcotics were required postoperatively in 22 patients (35.5%). There were no 30-day readmissions.
Conclusion: This bridging multimodal pain management protocol resulted in a length of stay of 1 day for 66% of patients, even for higher-risk patients with American Society of Anesthesiologists Physical Status Classification III (63%). Of the 62 patients, 64% (n = 40) did not require postoperative intravenous narcotics. For properly selected patients, this program may be considered for performing TSR as an ambulatory procedure.
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http://dx.doi.org/10.1016/j.jse.2017.12.026 | DOI Listing |
Med Image Anal
January 2025
School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China. Electronic address:
JACC Cardiovasc Imaging
January 2025
National Amyloidosis Centre, University College London, Royal Free Campus, Rowland Hill Street, London, United Kingdom.
Cardiac amyloidosis represents a unique disease process characterized by amyloid fibril deposition within the myocardial extracellular space. Advances in multimodality cardiac imaging enable accurate diagnosis and facilitate prompt initiation of disease-modifying therapies. Furthermore, rapid advances in multimodality imaging have enriched understanding of the underlying pathogenesis, enhanced prognostication, and resulted in the development of imaging-based markers that reflect the amyloid burden, which is of increasing importance when assessing the response to treatment.
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December 2024
División de Sistemas e Ingeniería Electrónica (DSIE), Campus Muralla del Mar, s/n, Universidad Politécnica de Cartagena, 30202 Cartagena, Spain.
This paper presents a novel end-to-end architecture based on edge detection for autonomous driving. The architecture has been designed to bridge the domain gap between synthetic and real-world images for end-to-end autonomous driving applications and includes custom edge detection layers before the Efficient Net convolutional module. To train the architecture, RGB and depth images were used together with inertial data as inputs to predict the driving speed and steering wheel angle.
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December 2024
Information Technology, Gandhinagar University, Moti Bhoyan, IND.
Alzheimer's disease (AD) and other neurodegenerative illnesses place a heavy strain on the world's healthcare systems, particularly among the aging population. With a focus on research from January 2022 to September 2023, this scoping review, which adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-Scr) criteria, examines the changing landscape of artificial intelligence (AI) applications for early AD detection and diagnosis. Forty-four carefully chosen articles were selected from a pool of 2,966 articles for the qualitative synthesis.
View Article and Find Full Text PDFBiomedicines
November 2024
Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland.
Hypertrophic cardiomyopathy (HCM) is a heterogeneous group of heart muscle disorders that affects millions, with an incidence from 1 in 500 to 1 in 200. Factors such as genetics, age, gender, comorbidities, and environmental factors may contribute to the course of this disease. Diagnosis of HCM has improved significantly in the past few decades from simple echocardiographic evaluations to a more complex, multimodal approach embracing advanced imaging, genetic, and biomarker studies.
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