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Diaper Dermatitis Algorithm and Scoring Tool in the Neonatal Intensive Care Unit (NICU): A Quality Improvement Project.
J Wound Ostomy Continence Nurs
January 2025
Meredith Sharp, MSN, RN, CWON, MEDSURG-BC, Wound Ostomy Nurse Department, Oklahoma Children's Hospital at OU Health, Oklahoma City, Oklahoma.
Purpose: The purpose of this quality improvement project was to implement and evaluate an algorithm for management and prevention of diaper dermatitis (DD) embedded in a scoring tool. The specific aim of the project was to decrease DD occurrences with a severity score of 3 to 4 by 25%.
Participants And Setting: Quality improvement participants comprised 164 neonates; 89 were cared for prior to project implementation and 75 post-implementation.
Background: Research data on the extent of and protocols related to physical restraint (PR) in pediatric intensive care units (PICUs) are scarce. Most previous studies in China on this topic have focused on the prevalence, reasons, and background of PR use among adult patients.
Purpose: This study was designed to delineate the application of PR and the factors associated with PR use in PICUs in China.
Examining the Influenza A Virus Sialic Acid Binding Preference Predictions of a Sequence-Based Convolutional Neural Network.
Influenza Other Respir Viruses
December 2024
Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, Massachusetts, USA.
Background: Though receptor binding specificity is well established as a contributor to host tropism and spillover potential of influenza A viruses, determining receptor binding preference of a specific virus still requires expensive and time-consuming laboratory analyses. In this study, we pilot a machine learning approach for prediction of binding preference.
Methods: We trained a convolutional neural network to predict the α2,6-linked sialic acid preference of influenza A viruses given the hemagglutinin amino acid sequence.
blast2galaxy: a CLI and Python API for BLAST+ and DIAMOND searches on Galaxy servers.
Bioinform Adv
November 2024
Department of Breeding Research, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, 06466, Germany.
Motivation: The Galaxy workflow system is an open-source platform supporting data-intensive research in life sciences, featuring a user-friendly web interface for complex analyses without extensive programming. It also offers a representational state transfer based API, enabling remote execution of specific tools. Galaxy supports similarity searches for nucleotide and amino acid sequences, with integrated tools like NCBI BLAST+ and DIAMOND.
View Article and Find Full Text PDFEligible Infants Included in Neonatal Clinical Trials and Reasons for Noninclusion: A Systematic Review.
JAMA Netw Open
October 2024
Department of Pediatrics, University of Washington School of Medicine, Seattle.
Article Synopsis
- Many neonatal clinical trials don't include enough participants, which can lead to biased outcomes and limit how applicable the results are to all infants.!* -
- A study reviewed 120 articles about neonatal trials, finding that only 44.4% of eligible infants were included in the research, primarily due to parents declining participation or not being approached at all.!* -
- Most reasons for noninclusion were identified as fixable by the research teams, highlighting the need for better strategies to increase participation in neonatal studies.!*
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