Objective: To assess the test-retest reliability and agreement of the work ability index-single item (WAS) in persons with a physical disability.
Design: Test-retest study, with a 2-4 week interval. Test-retest reliability was computed using the intraclass correlation coefficient (ICC). The agreement was analyzed using Bland-Altman plots.
Setting: Vocational rehabilitation department of a rehabilitation center.
Participants: Patients with a physical disability (spinal cord injury, acquired brain injury, neuromuscular disease, or other).
Interventions: Not applicable.
Main Outcome Measures: The WAS consists of 1 question on self-reported current work ability compared with their highest work ability ever, rated on a 0-10 scale.
Results: Data from 44 patients were available and 22 patients reported no changes in work or medical situation between the 2 measurements. After excluding 1 outlier in this subgroup (n=21), the ICC was 0.89 (95% confidence interval, 0.76-0.96), the mean test-retest difference was -0.05 points and the limits of agreement were ±2.4 points.
Conclusions: The WAS is reliable for measuring work ability in persons with a physical disability. Using the WAS could be valuable as a routine outcome measure in vocational rehabilitation for persons with a physical disability.
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http://dx.doi.org/10.1016/j.apmr.2024.10.018 | DOI Listing |
Sci Rep
December 2024
Department of Pathology, The Tumor Immuno-Pathology Laboratory, Erasmus University Medical Center, Wytemaweg 80, 3000 DR, Rotterdam, The Netherlands.
In previous work we discovered that T lymphocytes play a prominent role in the rise of brain metastases of ER-negative breast cancers. In the present study we explored how T lymphocytes promote breast cancer cell penetration through the blood brain barrier (BBB). An in vitro BBB model was employed to study the effects of T lymphocytes on BBB trespassing capacity of three different breast carcinoma cell lines.
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December 2024
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Autonomous vehicles, often known as self-driving cars, have emerged as a disruptive technology with the promise of safer, more efficient, and convenient transportation. The existing works provide achievable results but lack effective solutions, as accumulation on roads can obscure lane markings and traffic signs, making it difficult for the self-driving car to navigate safely. Heavy rain, snow, fog, or dust storms can severely limit the car's sensors' ability to detect obstacles, pedestrians, and other vehicles, which pose potential safety risks.
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December 2024
Sys2Diag, UMR9005 CNRS/ALCEN, Cap Gamma, Parc Euromédecine, 1682 Rue de la Valsière, CS 40182, 34184, Montpellier Cedex 4, France.
Extracellular vesicles (EVs), crucial mediators in cell-to-cell communication, are implicated in both homeostatic and pathological processes. Their detectability in easily accessible peripheral fluids like saliva positions them as promising candidates for non-invasive biomarker discovery. However, the lack of standardized methods for salivary EVs isolation greatly limits our ability to study them.
View Article and Find Full Text PDFBMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFBMC Complement Med Ther
December 2024
Department of Pharmaceutical Biotechnology, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Background: A precise observation is that the cervix's solid tumors possess hypoxic regions where the oxygen concentration drops below 1.5%. Hypoxia negatively impacts the host's immune system and significantly diminishes the effectiveness of several treatments, including radiotherapy and chemotherapy.
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