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Self-Reported Delayed Adverse Events and Flare Following COVID-19 Vaccination Among Patients With Autoimmune Rheumatic Disease (AIRD) in Malaysia: Results From the COVAD-2 Study.
Int J Rheum Dis
January 2025
Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India.
Objectives: To determine the prevalence of self-reported delayed adverse events (DAEs), major AEs, and flares following COVID-19 vaccinations among patients with autoimmune rheumatic diseases (AIRDs) in Malaysia.
Methodology: An electronically validated survey from the COVID-19 vaccination in autoimmune diseases (COVAD) study group was distributed in July 2021 to patients with autoimmune diseases and healthy controls (HCs). The survey collected data on DAEs (any AE that persisted or occurred after 7 days of vaccination), any early or delayed major adverse events (MAEs), and flares following COVID-19 vaccination.
Impact of a Virtual Care Navigation Service on Member-Reported Outcomes Among Lesbian, Gay, Bisexual, Transgender, and Queer Populations: Case Study.
JMIR Form Res
January 2025
School of Nursing, University of Pennsylvania, 418 Curie Blvd, Philadelphia, PA, 19104, United States, 1 8123695216.
Background: While the significance of care navigation in facilitating access to health care within the lesbian, gay, bisexual, transgender, queer, and other (LGBTQ+) communities has been acknowledged, there is limited research examining how care navigation influences an individual's ability to understand and access the care they need in real-world settings. By analyzing private sector data, we can bridge the gap between theoretical research findings and practical applications, ultimately informing both business strategies and public policy with evidence grounded in real-world efficacy.
Objective: The objective of this study was to evaluate the impact of specialized virtual care navigation services on LGBTQ+ individuals' ability to comprehend and access necessary care within a national cohort of commercially insured members.
Early-Onset Chondrocalcinosis With Erosive Progression Following Trauma: A Case Report.
Cureus
December 2024
Rheumatology Department of Lucania, "Madonna delle Grazie" Hospital, Matera, ITA.
Chondrocalcinosis, commonly associated with aging, is characterized by the deposition of calcium pyrophosphate dihydrate (CPPD) crystals in cartilage and periarticular tissues. Early-onset cases are rare and not well-documented. We report a case of a 60-year-old woman with a probable onset of CPP deposition (CPPD) disease during adolescence, presenting with inflammatory flare-ups and erosive progression following minor trauma.
View Article and Find Full Text PDFCase report: Kabuki syndrome and persistent hypoglycemia in neonates.
J Family Med Prim Care
December 2024
Faculty of Medicine, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.
The Kabuki syndrome (KS) is a rare congenital disease that has two different types, KS1 and KS2, with variant in epigenetic gene KMT2D and KDM6A, respectively. It is associated with multiple abnormalities such as (developmental delay, atypical facial features, cardiac anomalies, minor skeleton anomalies, genitourinary anomalies, and mild to moderate intellectual disability). This syndrome can lead to neonatal hypoglycemia that results from hyperinsulinemia and electrolyte abnormalities.
View Article and Find Full Text PDFMachine-learning-based cost prediction models for inpatients with mental disorders in China.
BMC Psychiatry
January 2025
Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Background: Mental disorders are increasingly prevalent, leading to increased medical expenditures. To refine the reimbursement of medical costs for inpatients with mental disorders by health insurance, an accurate prediction model is essential. Per-diem payment is a common internationally implemented payment method for medical insurance of inpatients with mental disorders, necessitating the exploration of advanced machine learning methods for predicting the average daily hospitalization costs (ADHC) based on the characteristics of inpatients with mental disorders.
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