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Modulating delirium through stimulation (MoDeSt): study protocol for a randomized, double-blind, sham-controlled trial assessing the effect of postoperative transcranial electrical stimulation on delirium incidence.
Trials
January 2025
Department of Neurology, Universitätsmedizin Greifswald, Fleischmannstraße 6, Greifswald, 17489, Germany.
Background: Postoperative delirium (POD) is the most common neurological adverse event among elderly patients undergoing surgery. POD is associated with an increased risk for postoperative complications, long-term cognitive decline, an increase in morbidity and mortality as well as extended hospital stays. Delirium prevention and treatment options are currently limited.
View Article and Find Full Text PDFMachine learning based identification of an amino acid metabolism related signature for predicting prognosis and immune microenvironment in pancreatic cancer.
BMC Cancer
January 2025
Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Peking, Beijing, 100023, People's Republic of China.
Background: Pancreatic cancer is a highly aggressive neoplasm characterized by poor diagnosis. Amino acids play a prominent role in the occurrence and progression of pancreatic cancer as essential building blocks for protein synthesis and key regulators of cellular metabolism. Understanding the interplay between pancreatic cancer and amino acid metabolism offers potential avenues for improving patient clinical outcomes.
View Article and Find Full Text PDFThe curated Lactobacillus acidophilus NCFM genome provides insights into strain specificity and microevolution.
BMC Genomics
January 2025
Department of Food, Bioprocessing, & Nutrition Sciences, North Carolina State University, Raleigh, NC, USA.
Background: The advent of next generation sequencing technologies has enabled a surge in the number of whole genome sequences in public databases, and our understanding of the composition and evolution of bacterial genomes. Besides model organisms and pathogens, some attention has been dedicated to industrial bacteria, notably members of the Lactobacillaceae family that are commonly studied and formulated as probiotic bacteria. Of particular interest is Lactobacillus acidophilus NCFM, an extensively studied strain that has been widely commercialized for decades and is being used for the delivery of vaccines and therapeutics.
View Article and Find Full Text PDFEvaluating the weight-adjusted waist index as a predictive tool for sarcopenia and mortality risk.
Eat Weight Disord
January 2025
Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Nanbaixiang Street, Wenzhou, 325035, Zhejiang, China.
Purpose: The weight-adjusted waist index (WWI) is a novel anthropometric measure. WWI is linked to reduced muscle mass and strength; however, its efficacy for assessing sarcopenia and predicting adverse outcomes has yet to be validated. This study compared and examined the relationship between sarcopenia and WWI across different diagnostic criteria and aimed to evaluate its potential as a predictor of sarcopenia and all-cause mortality.
View Article and Find Full Text PDFCreating a predictive model and online calculator for high-value care outcomes following glioblastoma resection: incorporating neighborhood socioeconomic status index.
J Neurooncol
January 2025
Department of Neurosurgery, Johns Hopkins University School of Medicine, 1800 Orleans St, Baltimore, MD, 21287, USA.
Purpose: Social determinants of health including neighborhood socioeconomic status, have been established to play a profound role in overall access to care and outcomes in numerous specialized disease entities. To provide glioblastoma multiforme (GBM) patients with high-quality care, it is crucial to identify predictors of hospital length of stay (LOS), discharge disposition, and access to postoperative adjuvant chemoradiation. In this study, we incorporate a novel neighborhood socioeconomic status index (NSES) and develop three predictive algorithms for assessing post-operative outcomes in GBM patients, offering a tool for preoperative risk stratification of GBM patients.
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