Objective: Giant cell arteritis (GCA) is one of the most common large vessel (LVV) vasculitis and is associated with a high risk of relapse and cardiovascular complications. Improving risk stratification remains a significant issue in this patient population. We aimed to perform a cluster analysis among GCA to identify clusters and evaluate their prognostic value.
Methods: In a multicenter cohort study, we performed hierarchical cluster analysis on the factor analysis of mixed data coordinates results with 283 GCA patients' characteristics to generate clusters and assess incidence of relapse, cardiovascular events and death.
Results: Three clusters were identified: "Vascular relapsing profile" (23.0%), "Typical GCA profile" (47.7%), and "Ophthalmologic elderly profile" (29.3%). The "Vascular relapsing profile" cluster included younger patients with more frequent relapses and cardiovascular events, particularly thoracic aortic aneurysms. The "Typical GCA profile" was the largest, with classic cranial manifestations and frequently associated polymyalgia rheumatica. The "Ophthalmologic elderly profile" had the oldest patients with more visual loss and the highest mortality rate.
Conclusions: Our findings underline the varied prognostic landscape within GCA, emphasizing the poor cardiovascular prognosis of younger patients with LV involvement and the higher mortality among elderly patients. This reinforces the need for further research regarding the screening of aortic abnormalities and whether those patients might benefit from intensive treatment with biotherapy and cardiovascular risk factors management.
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http://dx.doi.org/10.1093/qjmed/hcae105 | DOI Listing |
J Oral Maxillofac Surg
December 2024
Assistant Professor, Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA; Assistant Professor, Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA. Electronic address:
Background: Fibrous dysplasia/McCune-Albright syndrome (FD/MAS) is a genetic disorder, marked by bone lesions, often affecting the craniofacial skeleton. Pain is a prevalent yet heterogeneous symptom reported by patients with craniofacial FD. Effective treatments are currently lacking, posing a significant clinical challenge to patient care.
View Article and Find Full Text PDFMar Pollut Bull
December 2024
Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146. Electronic address:
Correlation and cluster analysis protocols for analyzing multiple-parameter water-quality data sets are presented and demonstrated. A novel cluster analysis methodology is developed that identifies parameters that are either directly or indirectly correlated. Application of these analyses was demonstrated using multi-parameter water-quality measurements in Biscayne Bay and the primary drainage canals in South Florida.
View Article and Find Full Text PDFEur J Med Res
December 2024
Department of Ophthalmology, Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
Background: Age-related macular degeneration (AMD), is a neurodegenerative ocular disease. This study investigated the role of ferroptosis-related genes and their interaction with immune cell infiltration in AMD.
Methods: We screened differential expression genes (DEGs) of AMD from data sets in Gene Expression Omnibus.
BMC Res Notes
December 2024
Laboratory of Infectious Diseases, Graduate School of Infection Control Sciences and Ōmura Satoshi Memorial Institute, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo, 108-8641, Japan.
Objective: We aimed to characterize integrative and conjugative elements (ICEs) in antimicrobial resistant Streptococcs uberis isolates from bovine milk in Chiba, Japan, based on whole-genome sequence (WGS) data.
Results: Of the 101 isolates, we found the 36 isolates harboring erm(B)-tet(O), showing resistance to macrolides-lincosamides-tetracyclines. The 22 isolates were randomly selected and subject to WGS determination.
Exp Brain Res
December 2024
School of Biomedical sciences, University of Leeds, Leeds, UK.
Current clinical assessment tools don't fully capture the genuine neural deficits experienced by chronic stroke survivors and, consequently, they don't fully explain motor function throughout everyday life. Towards addressing this problem, here we aimed to characterise post-stroke alterations in upper-limb control from a novel perspective to the muscle synergy by applying, for the first time, a computational approach that quantifies diverse types of functional muscle interactions (i.e.
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