Objective: The goal of this study was to determine the sensitivity of the new 2013 classification criteria for systemic sclerosis (SSc; scleroderma) in an independent cohort of SSc subjects and to assess the contribution of individual items of the criteria to the overall sensitivity.
Methods: SSc subjects from the Canadian Scleroderma Research Group cohort were assessed. Sensitivity was determined in several subgroups of patients. In patients without the criterion of skin thickening proximal to the metacarpophalangeal (MCP) joints, we recalculated sensitivity after removing the individual criterion.
Results: A total of 724 SSc patients were included. Most were women (86%), mean age was 55.8 years, mean disease duration was 10.9 years, and 59% had limited cutaneous SSc (lcSSc). Overall, the sensitivity of the 2013 criteria was 98.3% compared to 88.3% for the 1980 criteria. This pattern was consistent among those with lcSSc (98.8% versus 85.6%), anticentromere antibodies (98.9% versus 79.8%), disease duration ≤3 years (98.7% versus 84.7%), and no skin involvement proximal to the MCP joints (97% versus 60%). In the latter subgroup, removing Raynaud's phenomenon and sclerodactyly from the criteria reduced the sensitivity to 77% and 79%, respectively. Removing both sclerodactyly and puffy fingers reduced the sensitivity to 62%.
Conclusion: The 2013 SSc classification criteria classify more SSc patients than the 1980 criteria. The improvement in sensitivity is most striking in those with lcSSc, especially those without skin involvement proximal to the MCP joints. The addition of Raynaud's phenomenon and puffy fingers to the 2013 criteria accounts for important gains in sensitivity.
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http://dx.doi.org/10.1002/acr.22451 | 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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