Change in medication use was studied in patients admitted to a short-stay geriatric ward of a psychiatric hospital. One hundred ten patients were followed up until discharge from the short-stay ward, or, after transfer, until discharge from the medium-stay ward to home or to a nursing-home. Mean drug use on admission was 2.6 drugs; at discharge mean use was 2.1 drugs. Drugs most prescribed at admission were neuroleptics (41%) and benzodiazepines (39%). At discharge 15% used neuroleptics and 22% benzodiazepines. A reduction in use of cardiovascular drugs, and especially of digoxin, was found. Prescription of laxatives and vitamins, especially folic acid and vitamin B12, increased. In comparison with studies on two other geriatric wards in general hospitals in The Netherlands the most marked difference was a reduction of 17% in this study of the number of patients using benzodiazepines on discharge in contrast to an increase of 18 and 3% in the two other studies. The number of patients using neuroleptics on discharge decreased in the present study with 26%; in the two other studies respectively a decrease of 7% and a constant prescription level was found.
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Med Oral Patol Oral Cir Bucal
January 2025
School of Dentistry. Federal University of Alfenas Rua Gabriel Monteiro da Silva, 700. Centro 37130.001. Alfenas, Minas Gerais, Brazil
Background: Paracoccidioidomycosis (PCM) is a systemic mycosis endemic and limited to Latin America. Brazil is responsible for more than 80% of diagnosed cases in the world. Since PCM is not a notifiable disease, there are still no accurate data on its incidence in Brazil.
View Article and Find Full Text PDFAge Ageing
January 2025
Aging Research Center, Department Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Objective: We aimed to investigate the association of sociodemographic, clinical and functional characteristics with the volume of transitions and specific trajectories across living and care settings.
Methods: Using data from the Swedish National Study on Aging and Care in Kungsholmen study, we identified transitions across home (with or without social care), nursing homes, hospitals and postacute care facilities among 3021 adults aged 60+. Poisson and multistate models were used to investigate the association between sociodemographic, clinical and functional characteristics and both the overall volume and hazard ratios (HRs) of specific transitions.
Endocrine
January 2025
Department of Endocrinology and Metabolic Diseases, Manisa Celal Bayar University Hospital, Manisa, Turkey.
Purpose: Our study evaluated skeletal muscle mass, function and quality among mild autonomous cortisol secretion (MACS) patients and non-functioning adrenal incidentaloma (NFAI) patients in comparison with the control group without adrenal mass.
Methods: 63 NFAI (49 female, 14 male) and 31 MACS (24 female, 7 male) patients were included in the study. As the control group, 44 patients (31 women, 13 men) who were known to have no radiological adrenal pathology on computed tomography or magnetic resonance imaging performed for other reasons were selected.
Calcif Tissue Int
January 2025
Endocrinology Department, School of Medicine, Pontificia Universidad Católica de Chile, Av. Diagonal Paraguay 262, Cuarto Piso, Santiago, Chile.
X-linked hypophosphatemia (XLH) is a rare metabolic disorder characterized by elevated FGF23 and chronic hypophosphatemia, leading to impaired skeletal mineralization and enthesopathies that are associated with pain, stiffness, and diminished quality of life. The natural history of enthesopathies in XLH remains poorly defined, partly due to absence of a sensitive quantitative tool for assessment and monitoring. This study investigates the utility of 18F-NaF PET/CT scans in characterizing enthesopathies in XLH subjects.
View Article and Find Full Text PDFRadiol Med
January 2025
Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Purpose: To develop an artificial intelligence (AI) algorithm for automated measurements of spinopelvic parameters on lateral radiographs and compare its performance to multiple experienced radiologists and surgeons.
Methods: On lateral full-spine radiographs of 295 consecutive patients, a two-staged region-based convolutional neural network (R-CNN) was trained to detect anatomical landmarks and calculate thoracic kyphosis (TK), lumbar lordosis (LL), sacral slope (SS), and sagittal vertical axis (SVA). Performance was evaluated on 65 radiographs not used for training, which were measured independently by 6 readers (3 radiologists, 3 surgeons), and the median per measurement was set as the reference standard.
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