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| http://dx.doi.org/10.1136/wjps-2023-000695 | DOI Listing |
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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence.
Commun Med (Lond)
January 2025
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Background: Adolescent idiopathic scoliosis (AIS) is the most common type of scoliosis, affecting 1-4% of adolescents. The Scoliosis Research Society-22R (SRS-22R), a health-related quality-of-life instrument for AIS, has allowed orthopedists to measure subjective patient outcomes before and after corrective surgery beyond objective radiographic measurements. However, research has revealed that there is no significant correlation between the correction rate in major radiographic parameters and improvements in patient-reported outcomes (PROs), making it difficult to incorporate PROs into personalized surgical planning.
View Article and Find Full Text PDFDifferential gene expression in Clostridium perfringens during pre-and post-infection phases and in jejunal tissues of broilers with necrotic enteritis induced by Clostridium perfringens alone and its coinfection with Eimeria.
Poult Sci
December 2024
Department of Veterinary Medicine, School of Veterinary Medicine, National Taiwan University, Taipei City 106, Taiwan; Zoonoses Research Center and School of Veterinary Medicine, National Taiwan University, Taipei City, 106, Taiwan. Electronic address:
The pathogenesis of necrotic enteritis (NE) involves complex gene regulation at both the bacterial cell and host tissue levels, yet many aspects remain incompletely understood. This study aims to compare the differential transcriptome of the netB-positive Clostridium perfringens strain, CP54, before and after infection. Differentially expressed genes and pathways were also examined in jejunal tissues from CP54-induced and CP54-Eimeria coinfected NE models to identify potential targets for mitigating NE.
View Article and Find Full Text PDFRelationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial.
Circ Cardiovasc Interv
December 2024
Cardiovascular Clinical Research Center, Department of Medicine, NYU Grossman School of Medicine, New York, NY (H.R.R., L.P., S.B., J.S.H.).
Background: The relationship between the extent and severity of stress-induced ischemia and the extent and severity of anatomic coronary artery disease (CAD) in patients with obstructive CAD is multifactorial and includes the intensity of stress achieved, type of testing used, presence and extent of prior infarction, collateral blood flow, plaque characteristics, microvascular disease, coronary vasomotor tone, and genetic factors. Among chronic coronary disease participants with site-determined moderate or severe ischemia, we investigated associations between ischemia severity on stress testing and the extent of CAD on coronary computed tomography angiography.
Methods: Clinically indicated stress testing included nuclear imaging, echocardiography, cardiac magnetic resonance imaging, or nonimaging exercise tolerance test.
Broiler breeder putative lipid biomarkers associated with sperm mobility.
Front Physiol
November 2024
Agricultural Research Service, Beltsville Agricultural Research Center, United States Department of Agriculture, Beltsville, MD, United States.
Introduction: Biomarkers indicative of sperm mobility in broiler breeders would provide the ability to screen for fertility potential, with a positive correlation established between sperm mobility and fertilization potential. This study characterized the lipidome of seminal plasma (SP), sperm cell (SC), and whole semen (WS) isolated from broiler breeder roosters with different sperm mobility phenotypes across key timepoints of the semen production cycle.
Methods: WS samples were collected from five high mobility roosters and five low mobility roosters during early, mid, and late semen production, with SP separated from SC by centrifugation.
Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine's Panel on Data Sharing and Harmonization.
Crit Care Explor
November 2024
School of Medicine, University of North Carolina, Chapel Hill, NC.
A growing body of critical care research draws on real-world data from electronic health records (EHRs). The bedside clinician has myriad data sources to aid in clinical decision-making, but the lack of data sharing and harmonization standards leaves much of this data out of reach for multi-institution critical care research. The Society of Critical Care Medicine (SCCM) Discovery Data Science Campaign convened a panel of critical care and data science experts to explore and document unique advantages and opportunities for leveraging EHR data in critical care research.
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