A 14-year-old boy with a 46,XY karyotype and persistent breast-3-stage gynecomastia is reported. The reproductive axis was investigated by standard laboratory methods and the androgen receptor (AR) gene was sequenced. Also, a literature review of phenotypes associated with the AR genetic variant p.Pro392Ser was performed. The boy presented with height in the upper normal range (+1.9 SDS) and normal body mass index (-0,3 SDS); pubertal development was PH5/G4 (mean testicular volume 15 mL; 0 SDS). Laboratory findings were normal for age and sex, except aromatization index (0.09; reference range 0.03-0.07). Analysis of the AR gene showed the single nucleotide variant c.1174C>T (p.Pro392Ser) in exon 1, leading to the diagnosis of minimal androgen insensitivity syndrome (AIS). This genetic variant is reported in other 8 patients with AIS and is associated with variable clinical phenotypes ranging from complete to partial and minimal AIS. To the best of our knowledge, this is the first adolescent in whom the p.Pro392Ser mutation is associated with isolated persistent gynecomastia. The underlying reason of phenotypic variability due to this AR mutation remains unknown. Persistent gynecomastia due to minimal AIS has been reported in few additional males with variable AR mutations. Since fertility troubles may occur in adult men with minimal AIS, early diagnosis can allow optimizing the clinical management.
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http://dx.doi.org/10.1159/000514067 | DOI Listing |
Harv Public Health Rev (Camb)
August 2024
Washington State University, School of Electrical Engineering and Computer Science in Pullman.
Health technologies featuring artificial intelligence (AI) are becoming more common. Some healthcare AIs are exhibiting bias towards underrepresented persons and populations. Although many computer scientists and healthcare professionals agree that eliminating or mitigating bias in healthcare AIs is needed, little information exists regarding how to operationalize bioethics principles like autonomy in product design and implementation.
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Neuroscience Spine Center, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.
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World J Orthop
January 2025
Department of Orthopedic Surgery, Zhuji People's Hospital, Zhuji 311899, Zhejiang Province, China.
This letter compares the clinical efficacy and economic feasibility of the scoliocorrector fatma-UI (SCFUI) with direct vertebral rotation (DVR) in treating adolescent idiopathic scoliosis (AIS). SCFUI has shown promising results in three-dimensional spinal correction, providing superior rotational alignment compared to DVR and achieving significant improvements in coronal and sagittal planes. Additionally, SCFUI's advanced design reduces risks associated with AIS surgeries and enhances overall patient outcomes.
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February 2025
National Trauma Research Institute, Alfred Health, Melbourne, Victoria, Australia.
Objectives: To establish the determinants of death in hospital for patients with moderate to severe traumatic brain injury (TBI) in Australia.
Design, Setting, Participants: Retrospective analysis of Australia New Zealand Trauma Registry (ANZTR) data. Cases were included if they presented to a participating hospital between 1 July 2015 and 30 June 2020 and had an Abbreviated Injury Severity (AIS) score - head greater than 2.
Front Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
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