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Rasch Analysis of the Dermatology Life Quality Index
Actas Dermosifiliogr
January 2025
Group of Investigative Dermatology (GRID), Medical Research Institute, School of Medicine, University of Antioquia, Medellin, Colombia.
Background And Aims: Previous results of the Dermatology-Life-Quality-Index (DLQI) validation in Colombia based on the classical test theory (CTT) perspective have showed the need to delve into its measurement properties. Therefore, we aimed to assess the structural validity, internal consistency and item response analysis of the DLQI through the item response theory (IRT) or the Rasch model.
Material And Methods: We assessed the dimensionality of the DLQI, determined its difficulty, discrimination and differential functioning and went on to evaluate its internal consistency and discriminative validity among patients with inflammatory and non-inflammatory skin disease.
Molecular junctions (MJs) are celebrated nanoelectronic devices for mimicking conventional electronic functions, including rectifiers, sensors, wires, switches, transistors, negative differential resistance, and memory, following an understanding of charge transport mechanisms. However, capacitive nanoscale molecular junctions are rarely seen. The present work describes electrochemically (E-Chem) grown covalently attached molecular thin films of 10, 14.
View Article and Find Full Text PDFComprehensive analysis reveals cholesterol metabolism-related signature for predicting prognosis and guiding individualized treatment of glioma.
Heliyon
January 2025
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, 188Shizi Street, Suzhou, 215006, Jiangsu Province, China.
Objective: Gliomas are the most common intracranial tumors with the highest degree of malignancy. Disturbed cholesterol metabolism is one of the key features of many malignant tumors, including gliomas. This study aimed to investigate the significance of cholesterol metabolism-related genes in prognostic prediction and in guiding individualized treatment of patients with gliomas.
View Article and Find Full Text PDFA multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification.
NPJ Digit Med
January 2025
Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.
View Article and Find Full Text PDFChallenges for complement functional assays in the clinical laboratory: From test validation to clinical interpretation.
J Immunol Methods
January 2025
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States of America. Electronic address:
Complement functional assays are essential first-tier tests for a gamut of disorders spanning from inborn errors of the immune system which lead to recurrent severe infections, to angioedema attacks, presentation of autoimmune disease, thrombotic microangiopathies and rare kidney disorders. These assays evaluate the activity of the three complement pathways and specific complement components, which helps in differential diagnosis and monitoring disease progression. The rising use of complement inhibitors for treating complement-mediated thrombotic microangiopathies has heightened the demand for personalized treatment plans and laboratory assessment of complement blockage.
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