Introduction: The World Federation of Hemophilia (WFH) strives to achieve care for all patients with inherited bleeding disorders through research, advocacy, capacity building and education. The WFH developed and implemented the Annual Global Survey (AGS), through which comprehensive demographic and treatment data on bleeding disorders are collected each year from its constituent non-governmental national organizations.
Aim: To describe the development, methodology and achievements of the WFH AGS over the past 20 years.
Methods: The AGS is a yearly cross-sectional survey. Data are collected using a standardized form (available online and on paper), quality checked and reviewed, and published in English, French and Spanish. Over time, the AGS has been modified in response to changes in treatment landscape or emerging new issues.
Results: Over the past 20 years, the AGS has reported an increase in the number of countries participating in the survey, a tripling in the number of people identified with rare bleeding disorders and an increase in the amount of factor used to treat people with haemophilia. Yet, a large treatment inequity gap still exists across the globe. In response to this gap, the WFH has analysed the AGS reports which has stimulated further development in quality of care indicators, estimates of the global prevalence of haemophilia, patient-level data collection efforts like the World Bleeding Disorders Registry and the Gene Therapy Registry.
Conclusion: The AGS has provided evidence to support research, programme planning and development activities of the WFH.
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http://dx.doi.org/10.1111/hae.14012 | DOI Listing |
Int J Surg Case Rep
January 2025
Department of Upper Gastrointestinal/Hepatobiliary Surgery, Western Hospital, Footscray, VIC 3011, Australia.
Introduction: Haemobilia causing obstructive jaundice is a rare complication with most occurrences reported post instrumentation e.g. endoscopic retrograde cholangiopancreatography (ERCP), percutaneous transhepatic cholangioagraphy (PTC) and, trans-cystic duct exploration or due to hepatic tree pseudoaneurysms.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Larkin Community Hospital, South Miami, USA.
We report a rare case of a 45-year-old Asian male patient with concurrent multiple myeloma (MM), immune thrombocytopenic purpura (ITP), and thalassemia trait, presenting with severe thrombocytopenia, back pain, and bleeding manifestations. The diagnosis was established through a combination of laboratory findings, imaging, and bone marrow biopsy, revealing 90% plasma cell involvement and KRAS/BRCA2 mutations. Management focused on controlling ITP with corticosteroids, rituximab, and platelet transfusions while addressing immunosuppression risks.
View Article and Find Full Text PDFCureus
December 2024
Obstetrics and Gynecology, Latifa Hospital, Dubai, ARE.
Glanzmann thrombasthenia (GT) is an autosomal recessive platelet functional bleeding disorder caused by mutations in the ITGA2B or ITGB3 genes, often presenting as mucocutaneous bleeding. GT typically presents in infancy, but this study reports a rare case of neonatal presentation in a female infant born to consanguineous parents. The mother, a 27-year-old woman with a family history of GT, presented at 36 weeks gestation for an elective cesarean due to a breech presentation.
View Article and Find Full Text PDFChin J Integr Med
January 2025
Institute of Integrative Medicine, Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, 410008, China.
Objective: To explore the neuroprotective effects of Xuefu Zhuyu Decoction (XFZYD) based on in vivo and metabolomics experiments.
Methods: Traumatic brain injury (TBI) was induced via a controlled cortical impact (CCI) method. Thirty rats were randomly divided into 3 groups (10 for each): sham, CCI and XFZYD groups (9 g/kg).
J Clin Gastroenterol
February 2025
Swedish Medical Center, Seattle, WA.
Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neural Networks, are increasingly being used for detecting and managing gastrointestinal conditions. Recent advancements involve using Artificial Neural Network models to enhance predictive accuracy for severe lower gastrointestinal (LGI) bleeding outcomes, including the need for surgery. To this end, artificial intelligence (AI)-guided predictive models have shown promise in improving management outcomes.
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