Showing 4,761 - 4,780 results of 4,871 for search 'background composition (method OR methods)', query time: 0.25s Refine Results
  1. 4761
  2. 4762

    Outcomes for older people with screening-detected versus existing chronic kidney disease: a cohort study with data linkage by Anna K Forbes, José M Ordóñez-Mena, Winnie Mei, Clare J Taylor, Nicholas Jones, Jennifer A Hirst, FD Richard Hobbs

    Published 2025-04-01
    “…Design & setting: Prospective cohort study of 892 primary care patients aged ≥60 years with CKD (existing and screening detected) in Oxfordshire, with data linkage to civil death registry and secondary care. Method: Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazard models to compare the risk of all-cause mortality, hospitalisation, CVD, ESKD separately, and as a composite between CKD groups, as well as to identify factors associated with mortality. …”
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  3. 4763

    Comparison of antimicrobial efficacy and therapeutic index properties for common wound cleansing solutions, focusing on solutions containing PHMB by Watson, Fergus, Chen, Rui, Saint Bezard, Jeanne, Percival, Steven

    Published 2024-12-01
    “…The optimal solution would have minimal cytotoxicity to the patient while maintaining a minimum concentration required for antimicrobial activity necessary to prevent opportunistic pathogens and biofilm formation.Method: A variety of common wound irrigation products, including polyhexanide in various concentrations and compositions, iodine and hypochlorous acid-based solutions, were tested and compared for their activity against pathogens according to the ESKAPE group of nosocomial relevant microbes. …”
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  4. 4764
  5. 4765

    Immune-neuroendocrine crosstalk in mood and psychotic disorders: A meta-analysis and systematic review by Minne Van Den Noortgate, Filip Van Den Eede, Violette Coppens, Erik J. Giltay, Livia De Picker, Manuel Morrens

    Published 2025-03-01
    “…Background: Bidirectional interactions between immune and neuroendocrine mechanisms are involved in mood and psychotic disorders, although individual studies report inconsistent and even contradictory findings on the nature of this crosstalk. …”
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  10. 4770

    Interpreting the clinical significance of multiple large-scale mitochondrial DNA deletions (MLSMD) in skeletal muscle tissue in the diagnostic evaluation of primary mitochondrial d... by Jing Wang, Jing Wang, James T. Peterson, Joaquim Diego D. Santos, Ada J. S. Chan, Maria Alejandra Diaz-Miranda, Imon Rahaman, Jean Flickinger, Amy Goldstein, Amy Goldstein, Emily Bogush, Elizabeth M. McCormick, Colleen C. Muraresku, Vernon E. Anderson, Matthew C. Dulik, Matthew C. Dulik, Douglas C. Wallace, Douglas C. Wallace, Rui Xiao, Marni J. Falk, Marni J. Falk, Angela N. Viaene, Angela N. Viaene, Zarazuela Zolkipli-Cunningham, Zarazuela Zolkipli-Cunningham, Zarazuela Zolkipli-Cunningham

    Published 2025-04-01
    “…We sought to evaluate clinical, biochemical, and histopathological phenotypes of a large clinical cohort harboring MLSMD in muscle to better understand their significance across a range of clinical phenotypes.MethodsA single-site retrospective study was performed of 212 diagnostic muscle biopsies obtained from patients referred for Primary Mitochondrial Disease (PMD) evaluation with muscle mitochondrial (mt)DNA sequencing performed at our institution, including electronic medical record (EMR) review of symptoms, biochemical results, and Mitochondrial Myopathy Composite Assessment Tool (MM-COAST) scores.ResultsMLSMD were identified in 50 of 212 (24%) diagnostic tissue biopsies, and were universally present. in subjects ≥50 years (n = 18/18). …”
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  11. 4771
  12. 4772

    A Standardized Validation Framework for Clinically Actionable Healthcare Machine Learning with Knee Osteoarthritis Grading as a Case Study by Daniel Nasef, Demarcus Nasef, Michael Sher, Milan Toma

    Published 2025-06-01
    “…Background: High in-domain accuracy in healthcare machine learning (ML) models does not guarantee reliable clinical performance, especially when training and validation protocols are insufficiently robust. …”
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