Background: The obesity epidemic has led to an increased number of adolescents requiring metabolic and bariatric surgery (MBS), but there is paucity of data on the impact of implementing all aspects of Enhanced Recovery After Surgery (ERAS) protocols to improve outcomes in this population.
Methods: We implemented a comprehensive ERAS pathway for adolescents undergoing laparoscopic sleeve gastrectomy (LSG). Key elements included pre-operative fasting with carbohydrate loading in the morning of surgery, comprehensive anti-emetic and analgesic regimens including intra-operative lidocaine infusion (initiated before formal ERAS launch), regional anesthesia, and early goal-directed ambulation.
Background: Many studies evaluating opioid stewardship interventions' effects on postoperative pain rely on emergency department (ED) visits or readmissions, but patient-reported pain scores represent a more complete picture of the postoperative experience. This study compares patient-reported pain scores after ambulatory pediatric and urologic procedures and the effect of an opioid stewardship intervention that nearly eliminated the use of outpatient narcotics.
Methods: This is a retrospective comparative study including 3173 pediatric patients who underwent ambulatory procedures from 2015 to 2019, during which there was an intervention to reduce narcotic prescriptions.
The UAG-based genetic code expansion (GCE) enables site-specific incorporation of noncanonical amino acids (ncAAs) harboring novel chemical functionalities in specific target proteins. However, most GCE studies were done in several whole-genome engineered chassis cells whose hundreds of UAG stop codons were systematically edited to UAA to avoid readthrough in protein synthesis in the presence of GCE. The huge workload of removing all UAG limited the application of GCE in other microbial cell factories (MCF) such as , which has 607 genes ended with UAG among its 4245 coding genes.
View Article and Find Full Text PDFAppl Environ Microbiol
December 2022
The emergence of antimicrobial resistance is a global health concern and calls for the development of novel antibiotic agents. Antimicrobial peptides seem to be promising candidates due to their diverse sources, mechanisms of action, and physicochemical characteristics, as well as the relatively low emergence of resistance. The incorporation of noncanonical amino acids into antimicrobial peptides could effectively improve their physicochemical and pharmacological diversity.
View Article and Find Full Text PDFSurgeons must visually distinguish soft-tissues, such as nerves, from surrounding anatomy to prevent complications and optimize patient outcomes. An accurate nerve segmentation and analysis tool could provide useful insight for surgical decision-making. Here, we present an end-to-end, automatic deep learning computer vision algorithm to segment and measure nerves.
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