Primary Sjögren's syndrome is a systemic autoimmune disease, characterized by a lymphocytic exocrinopathy. Oral and ocular dryness, asthenia and pain represent hallmarks of the disease. Systemic manifestations concern a third of patients, including lymphoma in 5% of the patients. The American European Consensus Group classification criteria have been used in current practice and clinical trials since 2002. New classification criteria were recently proposed by the American Congress of Rheumatology. A group of international experts are currently working to reach a new consensus between the American European Consensus Group classification criteria and the American Congress of Rheumatology proposal for disease classification. In addition, international consensus disease activity scores were recently established. Regarding treatment modalities, symptomatic treatments remain the cornerstone of therapy in pSS, but new biologic treatments are currently evaluated.
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http://dx.doi.org/10.1586/1744666X.2014.897230 | DOI Listing |
J Int Med Res
December 2024
Department of Rheumatology and Rehabilitation, RinggoldID:63527 Cairo University, Cairo, Egypt.
Objectives: To compare the value of musculoskeletal ultrasound (MSUS) with conventional radiography in the detection of patients with early rheumatoid arthritis (RA) and to correlate the sonographic findings with disease activity, and functional disability scores.
Methods: Patients >18 years of age with RA ≤2 years who satisfied the 2010 EULAR/ACR classification criteria for rheumatoid arthritis and disease activity score 28 (DAS28) >2.6, were enrolled.
Sci Rep
December 2024
Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Coronary artery disease (CAD) is the main cause of death. It is a complex heart disease that is linked with many risk factors and a variety of symptoms. In the past few years, CAD has experienced a remarkable growth.
View Article and Find Full Text PDFSci Rep
December 2024
University Department of Forensic Sciences, University of Split, Split, Croatia.
Recent advances in artificial intelligence (AI) and machine learning (ML) applications have elevated accomplishments in various scientific fields, primarily those that benefit the economy and society. Contemporary threats, such as armed conflicts, natural and man-made disasters, and illegal immigration, often require fast and innovative but reliable identification aids, in which forensic anthropology has a significant role. However, forensic anthropology has not yet exploited new scientific advances but instead relies on traditionally used methods.
View Article and Find Full Text PDFRes Social Adm Pharm
December 2024
School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia.
Background: Artificial intelligence (AI), a branch of computer science, has been of growing research interest since its introduction to healthcare disciplines in the 1970s. Research has demonstrated that the application of such technologies has allowed for greater task accuracy and efficiency in medical disciplines such as diagnostics, treatment protocols and clinical decision-making. Application in pharmacy practice is reportedly narrower in scope; with greater emphasis placed on stock management and day-to-day function optimisation than enhancing patient outcomes.
View Article and Find Full Text PDFJ Am Acad Orthop Surg
December 2024
From the Vagelos College of Physicians of Surgeons, Columbia University, New York, NY (Garcia), and Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY (Tyler).
Introduction: The odds of metastatic disease at diagnosis of bone (BS) and soft-tissue sarcomas (STS) of the extremities and pelvis may vary among patients due to several factors. There is limited research comparing the rates of metastatic disease at diagnosis in patients from different demographic and socioeconomic backgrounds.
Methods: Patients with a primary BS or STS of the extremity or pelvis were identified using International Classification of Diseases codes.
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